Ambreen

<div class="ql-editor read-mode"><p><span style="background-color: transparent; color: rgb(21, 40, 61);"><img src="/files/DzWdWWA.png" height="52" width="206"></span></p><p><strong style="background-color: transparent; color: rgb(230, 110, 50);">OPEN SOURCE MIGRATION</strong></p><p><strong style="background-color: transparent; color: rgb(22, 78, 133);">Redis to Valkey: The Migration Was Decided at the Client Boundary</strong></p><p><span style="background-color: transparent; color: rgb(92, 107, 120);">A compatibility-first journey that protected application behaviour, data authority and rollback.</span></p><p><em style="background-color: transparent; color: rgb(21, 40, 61);">The team began with a reassuring fact: the applications already spoke the protocol. Then they listed the behaviours around that protocol: modules, Lua scripts, ACLs, persistence, failover discovery and client retry assumptions.</em></p><p><strong style="background-color: transparent; color: rgb(230, 110, 50);">Start with one workload | Scale into a complete platform | Open Source Freedom | Enterprise-Grade Operations.</strong></p><p><span style="background-color: transparent; color: rgb(21, 40, 61);">Published | October 2025</span></p><h1><strong style="background-color: transparent; color: rgb(22, 78, 133);">The work before the maintenance window</strong></h1><p><span style="background-color: transparent; color: rgb(21, 40, 61);">The team began with a reassuring fact: the applications already spoke the protocol. Then they listed the behaviours around that protocol: modules, Lua scripts, ACLs, persistence, failover discovery and client retry assumptions.</span></p><p><span style="background-color: transparent; color: rgb(21, 40, 61);">A binary replacement could pass a ping test and still fail the business workload. The risk lived in the edges where clients, modules and operational conventions met the engine.</span></p><table class="table table-bordered"><tbody><tr><td data-row="1"><strong style="background-color: transparent; color: rgb(21, 40, 61);"><em>Compatible Commands Are Not A Complete Migration Plan.</em></strong></td></tr></tbody></table><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">The turning point</strong></h2><p><span style="background-color: transparent; color: rgb(21, 40, 61);">Migration became a sequence of evidence: inventory actual use, validate compatibility, build the target from approved artifacts, synchronise data, shadow traffic, cut over, and preserve the return path.</span></p><p><span style="background-color: transparent; color: rgb(21, 40, 61);">The team used OSS Manager to make compatibility-led Redis-to-Valkey migration reviewable and repeatable. The engine still owned its native behaviour; the control plane made intent, prerequisites, execution and evidence visible to the people responsible for the service.</span></p><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">What had to become explicit</strong></h2><ul><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">The service boundary: A target Valkey topology is built beside the existing Redis service, populated through an approved online or offline method, validated, and cut over through a reversible endpoint change.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">The operational controls: command and module compatibility, data and TTL checks, ACL mapping, replication or export proof, dual-run policy, cutover gate, client test, and rollback endpoint.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">The capacity conversation: source data and working set, write rate, key churn, migration bandwidth, target persistence, validation sample, dual-run duration, and cutover surge.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">The human boundary: who may observe, who may approve, who may execute, and who decides whether the application is ready.<br></span></li></ul><h1><strong style="background-color: transparent; color: rgb(22, 78, 133);">The architecture that changed the conversation</strong></h1><p><span style="background-color: transparent; color: rgb(21, 40, 61);">The diagram is deliberately centred on the decision the team had to make. It is not a product inventory. It shows where authority sits, what crosses the boundary, and where a failed assumption must stop the workflow.</span></p><p style="text-align: center;"><span style="background-color: transparent; color: rgb(21, 40, 61);"><img src="/files/7tHcZB1.png" height="454" width="888"></span><strong style="background-color: transparent; color: rgb(22, 78, 133);"><br></strong></p><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">The practical design choices</strong></h2><ul><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong style="background-color: transparent; color: rgb(21, 40, 61);">Commands and scripts. </strong><span style="background-color: transparent; color: rgb(21, 40, 61);">Test: Replay representative calls. Rollback trigger: Semantic mismatch.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong style="background-color: transparent; color: rgb(21, 40, 61);">Data and TTL. </strong><span style="background-color: transparent; color: rgb(21, 40, 61);">Test: Compare counts and expiry. Rollback trigger: Divergence.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong style="background-color: transparent; color: rgb(21, 40, 61);">Clients. </strong><span style="background-color: transparent; color: rgb(21, 40, 61);">Test: Reconnect and failover test. Rollback trigger: Error or latency regression.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong style="background-color: transparent; color: rgb(21, 40, 61);">Persistence. </strong><span style="background-color: transparent; color: rgb(21, 40, 61);">Test: Compare AOF and snapshot behaviour. Rollback trigger: Durability or restart mismatch.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong style="background-color: transparent; color: rgb(21, 40, 61);">Modules. </strong><span style="background-color: transparent; color: rgb(21, 40, 61);">Test: Exercise every production dependency. Rollback trigger: Unsupported feature or output difference.</span></li></ul><p><span style="background-color: transparent; color: rgb(21, 40, 61);">These choices are intentionally small enough to review and test. They keep the architecture tied to operating behaviour instead of allowing a visually impressive diagram to hide unclear ownership.</span></p><h1><strong style="background-color: transparent; color: rgb(22, 78, 133);">What OSS Manager changed - and what it did not</strong></h1><p><span style="background-color: transparent; color: rgb(21, 40, 61);">OSS Manager brought discovery, planning, guarded execution and normalised status into one path for Redis to Valkey. It did not replace the engine's correctness model or the application's responsibility for data semantics.</span></p><ul><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">Before change, validate versions, hosts, identities, artifacts, topology and the recovery boundary without mutating the service.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">During change, persist progress, expose stop conditions and prevent a partial result from being mistaken for success.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">After change, observe key count; TTL distribution; replication lag; command errors; memory; latency; rejected clients; data difference; rollback readiness and run representative application journeys, not only process checks.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="background-color: transparent; color: rgb(21, 40, 61);">For recovery, protect the last known-good authority and require an explicit decision before promotion, rollback or destructive cleanup.</span></li></ul><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">The failure modes worth rehearsing</strong></h2><p><span style="background-color: transparent; color: rgb(21, 40, 61);">The test plan should make room for unsupported module, script incompatibility, TTL drift, replication break, ACL mismatch, client-library assumption, target memory pressure, and post-cutover regression. The purpose is not to produce a longer checklist. It is to learn whether operators can recognise the failure and choose the safe next action while the evidence is incomplete.</span></p><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">A human operating model</strong></h2><p><span style="background-color: transparent; color: rgb(21, 40, 61);">L1 operators need a plain-language answer to what is healthy, what is delayed and whether a change is in progress. Platform engineers need topology and evidence. Application owners need to know what users will experience. A useful platform connects those views without giving every person the same privileges.</span></p><table class="table table-bordered"><tbody><tr><td data-row="1"><strong style="background-color: transparent; color: rgb(21, 40, 61);"><em>The protocol made the move possible. The evidence made it safe.</em></strong></td></tr></tbody></table><h1><strong style="background-color: transparent; color: rgb(22, 78, 133);">Where this pattern earns its place</strong></h1><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">Media and OTT</strong></h2><p><span style="background-color: transparent; color: rgb(21, 40, 61);">This pattern is relevant where teams need regional continuity, burst traffic, low-latency serving and predictable recovery. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.</span></p><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">Retail</strong></h2><p><span style="background-color: transparent; color: rgb(21, 40, 61);">This pattern is relevant where teams need campaign peaks, catalogue freshness, transaction continuity and rapid rollback. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.</span></p><h2><strong style="background-color: transparent; color: rgb(22, 78, 133);">Telecom</strong></h2><p><span style="background-color: transparent; color: rgb(21, 40, 61);">This pattern is relevant where teams need high event volume, distributed operations, identity boundaries and service assurance. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.</span></p><h1><strong style="background-color: transparent; color: rgb(22, 78, 133);">The lesson we would carry into the next project</strong></h1><p><span style="background-color: transparent; color: rgb(21, 40, 61);">The protocol made the move possible. The evidence made it safe.</span></p><p><span style="background-color: transparent; color: rgb(21, 40, 61);">The strongest open-source platforms are not the ones with the most automation. They are the ones where automation makes ownership, risk and recovery easier for people to understand.</span></p><table class="table table-bordered"><tbody><tr><td data-row="1"><strong style="background-color: transparent; color: rgb(21, 40, 61);"><em>Start with one workload. Prove the operating model. Then scale it into a complete platform.</em></strong></td></tr></tbody></table><p><br></p></div>

Explore Redis-to-Valkey migration, client compatibility, data validation and safe cutover with clear ownership and reliable rollback.

Redis to Valkey Migration | OSS Manager

redis-to-valkey-the-migration-was-decided-at-the-client-boundary

Redis to Valkey: The Migration Was Decided at the Client Boundary

<div class="ql-editor read-mode"><p><span style="background-color: transparent; color: rgb(21, 40, 61);"><img src="/files/DzWdWWA.png" height="52" width="206"></span><br></p><p><strong style="color: rgb(230, 110, 50); background-color: transparent;">RESILIENT STREAMING</strong></p><p><strong style="color: rgb(22, 78, 133); background-color: transparent;">Two Kafka Sites, One Event Story: Building Active-Active Without Building a Loop</strong></p><p><span style="color: rgb(92, 107, 120); background-color: transparent;">A hybrid-cloud architecture story about local independence, selective replication and explicit event ownership.</span></p><p><em style="color: rgb(21, 40, 61); background-color: transparent;">One media platform wanted viewers in two regions to keep streaming through a site failure. Another financial platform needed local event processing without turning every WAN interruption into a global outage.</em></p><p><strong style="color: rgb(230, 110, 50); background-color: transparent;">Start with one workload | Scale into a complete platform | Open Source Freedom | Enterprise-Grade Operations.</strong></p><p><span style="color: rgb(21, 40, 61); background-color: transparent;">Published | March 2026</span></p><p><br></p><h1><strong style="color: rgb(22, 78, 133); background-color: transparent;">The architecture began with a constraint</strong></h1><p><span style="color: rgb(21, 40, 61); background-color: transparent;">One media platform wanted viewers in two regions to keep streaming through a site failure. Another financial platform needed local event processing without turning every WAN interruption into a global outage.</span></p><p><span style="color: rgb(21, 40, 61); background-color: transparent;">Copying every topic in both directions would have looked symmetrical on a diagram and behaved unpredictably in production. Loops, duplicate events, schema drift and ambiguous ownership would simply travel faster.</span></p><table class="table table-bordered"><tbody><tr><td data-row="1"><strong style="color: rgb(21, 40, 61); background-color: transparent;"><em>Active-Active Is A Business Ownership Design.</em></strong></td></tr></tbody></table><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">The turning point</strong></h2><p><span style="color: rgb(21, 40, 61); background-color: transparent;">Each site remained an independent Kafka service. Only approved streams crossed the boundary; topic ownership, loop prevention, offset translation and recovery tests were designed before replication was enabled.</span></p><p><span style="color: rgb(21, 40, 61); background-color: transparent;">The team used OSS Manager to make two-site Kafka active-active with explicit ownership and loop prevention reviewable and repeatable. The engine still owned its native behaviour; the control plane made intent, prerequisites, execution and evidence visible to the people responsible for the service.</span></p><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">What had to become explicit</strong></h2><ul><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">The service boundary: Each site runs an independent KRaft Kafka cluster. Approved replication flows copy selected topics in both directions with deterministic naming, loop prevention, conflict policy, and site-local producers and consumers.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">The operational controls: topic ownership, replication allow-list, loop prevention, offset translation, schema compatibility, lag objectives, duplicate handling, and site isolation tests.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">The capacity conversation: local traffic, cross-site replicated volume, retention, partitions, replication factor, WAN bandwidth and latency, replay window, and failure headroom.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">The human boundary: who may observe, who may approve, who may execute, and who decides whether the application is ready.<br></span></li></ul><h1><strong style="color: rgb(22, 78, 133); background-color: transparent;">The architecture that changed the conversation</strong></h1><p><span style="color: rgb(21, 40, 61); background-color: transparent;">The diagram is deliberately centred on the decision the team had to make. It is not a product inventory. It shows where authority sits, what crosses the boundary, and where a failed assumption must stop the workflow.</span></p><p style="text-align: center;"><span style="color: rgb(21, 40, 61); background-color: transparent;"><img style="border-width: medium; border-style: none; border-color: currentcolor; border-image: none;" src="https://docs.google.com/docs-images-rt/ALKuztbYJWD5N9Na6Gm8fKWvtrOMqH-I-JJnoaaGA00Oow_yYMUTt5K0OH4cVvReiV9z0xwhdmYbdZq5n7PpuGnvM0EiAWfGI76lnEQQDqj81ux6CqkYTusmoJckZMStde4z7vZX8dHqa74_BtWVKR78QnI_3m2GGYzRtQ=s2048" height="592" width="888"></span><strong style="color: rgb(22, 78, 133); background-color: transparent;"><br></strong></p><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">The practical design choices</strong></h2><table class="table table-bordered"><tbody><tr><td data-row="1"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Design choice</strong></td><td data-row="1"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Reason</strong></td><td data-row="1"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Failure test</strong></td></tr><tr><td data-row="2"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Local producers</strong></td><td data-row="2"><span style="color: rgb(21, 40, 61); background-color: transparent;">Keep site autonomy</span></td><td data-row="2"><span style="color: rgb(21, 40, 61); background-color: transparent;">Isolate WAN</span></td></tr><tr><td data-row="3"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Topic allow-list</strong></td><td data-row="3"><span style="color: rgb(21, 40, 61); background-color: transparent;">Bound cost and blast radius</span></td><td data-row="3"><span style="color: rgb(21, 40, 61); background-color: transparent;">Pause one flow</span></td></tr><tr><td data-row="4"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Deterministic ownership</strong></td><td data-row="4"><span style="color: rgb(21, 40, 61); background-color: transparent;">Prevent write ambiguity</span></td><td data-row="4"><span style="color: rgb(21, 40, 61); background-color: transparent;">Recover and fail back</span></td></tr><tr><td data-row="5"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Offset translation</strong></td><td data-row="5"><span style="color: rgb(21, 40, 61); background-color: transparent;">Preserve consumer continuity</span></td><td data-row="5"><span style="color: rgb(21, 40, 61); background-color: transparent;">Move a consumer group between sites</span></td></tr><tr><td data-row="6"><strong style="color: rgb(21, 40, 61); background-color: transparent;">Loop prevention</strong></td><td data-row="6"><span style="color: rgb(21, 40, 61); background-color: transparent;">Stop replicated events returning</span></td><td data-row="6"><span style="color: rgb(21, 40, 61); background-color: transparent;">Break one direction and restore it</span></td></tr></tbody></table><p><span style="color: rgb(21, 40, 61); background-color: transparent;">These choices are intentionally small enough to review and test. They keep the architecture tied to operating behaviour instead of allowing a visually impressive diagram to hide unclear ownership.</span></p><h1><strong style="color: rgb(22, 78, 133); background-color: transparent;">What OSS Manager changed - and what it did not</strong></h1><p><span style="color: rgb(21, 40, 61); background-color: transparent;">OSS Manager brought discovery, planning, guarded execution and normalised status into one path for Apache Kafka. It did not replace the engine's correctness model or the application's responsibility for data semantics.</span></p><ul><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">Before change, validate versions, hosts, identities, artifacts, topology and the recovery boundary without mutating the service.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">During change, persist progress, expose stop conditions and prevent a partial result from being mistaken for success.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">After change, observe cluster health; replication lag; rejected records; loop-prevention drops; consumer lag; duplicate rate; recovery time; cross-site throughput and run representative application journeys, not only process checks.</span></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><span style="color: rgb(21, 40, 61); background-color: transparent;">For recovery, protect the last known-good authority and require an explicit decision before promotion, rollback or destructive cleanup.</span></li></ul><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">The failure modes worth rehearsing</strong></h2><p><span style="color: rgb(21, 40, 61); background-color: transparent;">The test plan should make room for WAN partition, dual writes to the same logical key, replication loop, schema divergence, remote lag, site outage, offset mismatch, and failback surge. The purpose is not to produce a longer checklist. It is to learn whether operators can recognise the failure and choose the safe next action while the evidence is incomplete.</span></p><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">A human operating model</strong></h2><p><span style="color: rgb(21, 40, 61); background-color: transparent;">L1 operators need a plain-language answer to what is healthy, what is delayed and whether a change is in progress. Platform engineers need topology and evidence. Application owners need to know what users will experience. A useful platform connects those views without giving every person the same privileges.</span></p><table class="table table-bordered"><tbody><tr><td data-row="1"><strong style="color: rgb(21, 40, 61); background-color: transparent;"><em>The architecture worked because the sites could stand alone. Replication added continuity; it did not become the only thing holding the platform together.</em></strong></td></tr></tbody></table><h1><strong style="color: rgb(22, 78, 133); background-color: transparent;">Where this pattern earns its place</strong></h1><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">Retail</strong></h2><p><span style="color: rgb(21, 40, 61); background-color: transparent;">This pattern is relevant where teams need campaign peaks, catalogue freshness, transaction continuity and rapid rollback. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.</span></p><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">Telecom</strong></h2><p><span style="color: rgb(21, 40, 61); background-color: transparent;">This pattern is relevant where teams need high event volume, distributed operations, identity boundaries and service assurance. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.</span></p><h2><strong style="color: rgb(22, 78, 133); background-color: transparent;">Gaming</strong></h2><p><span style="color: rgb(21, 40, 61); background-color: transparent;">This pattern is relevant where teams need latency-sensitive sessions, leaderboards, event streams and regional player experience. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.</span></p><h1><strong style="color: rgb(22, 78, 133); background-color: transparent;">The lesson we would carry into the next project</strong></h1><p><span style="color: rgb(21, 40, 61); background-color: transparent;">The architecture worked because the sites could stand alone. Replication added continuity; it did not become the only thing holding the platform together.</span></p><p><span style="color: rgb(21, 40, 61); background-color: transparent;">The strongest open-source platforms are not the ones with the most automation. They are the ones where automation makes ownership, risk and recovery easier for people to understand.</span></p><table class="table table-bordered"><tbody><tr><td data-row="1"><strong style="color: rgb(21, 40, 61); background-color: transparent;"><em>Start with one workload. Prove the operating model. Then scale it into a complete platform.</em></strong></td></tr></tbody></table><p><br></p></div>


RESILIENT STREAMING
Two Kafka Sites, One Event Story: Building Active-Active Without Building a Loop
A hybrid-cloud architecture story about local independence, selective replication and explicit event ownership.
One media platform wanted viewers in two regions to keep streaming through a site failure. Another financial platform needed local event processing without turning every WAN interruption into a global outage.
Start with one workload | Scale into a complete platform | Open Source Freedom | Enterprise-Grade Operations.
Published | March 2026

The architecture began with a constraint
One media platform wanted viewers in two regions to keep streaming through a site failure. Another financial platform needed local event processing without turning every WAN interruption into a global outage.
Copying every topic in both directions would have looked symmetrical on a diagram and behaved unpredictably in production. Loops, duplicate events, schema drift and ambiguous ownership would simply travel faster.
Active-Active Is A Business Ownership Design.

The turning point
Each site remained an independent Kafka service. Only approved streams crossed the boundary; topic ownership, loop prevention, offset translation and recovery tests were designed before replication was enabled.
The team used OSS Manager to make two-site Kafka active-active with explicit ownership and loop prevention reviewable and repeatable. The engine still owned its native behaviour; the control plane made intent, prerequisites, execution and evidence visible to the people responsible for the service.
What had to become explicit
The service boundary: Each site runs an independent KRaft Kafka cluster. Approved replication flows copy selected topics in both directions with deterministic naming, loop prevention, conflict policy, and site-local producers and consumers.
The operational controls: topic ownership, replication allow-list, loop prevention, offset translation, schema compatibility, lag objectives, duplicate handling, and site isolation tests.
The capacity conversation: local traffic, cross-site replicated volume, retention, partitions, replication factor, WAN bandwidth and latency, replay window, and failure headroom.
The human boundary: who may observe, who may approve, who may execute, and who decides whether the application is ready.

The architecture that changed the conversation
The diagram is deliberately centred on the decision the team had to make. It is not a product inventory. It shows where authority sits, what crosses the boundary, and where a failed assumption must stop the workflow.


The practical design choices
Design choice
Reason
Failure test
Local producers
Keep site autonomy
Isolate WAN
Topic allow-list
Bound cost and blast radius
Pause one flow
Deterministic ownership
Prevent write ambiguity
Recover and fail back
Offset translation
Preserve consumer continuity
Move a consumer group between sites
Loop prevention
Stop replicated events returning
Break one direction and restore it

These choices are intentionally small enough to review and test. They keep the architecture tied to operating behaviour instead of allowing a visually impressive diagram to hide unclear ownership.
What OSS Manager changed - and what it did not
OSS Manager brought discovery, planning, guarded execution and normalised status into one path for Apache Kafka. It did not replace the engine's correctness model or the application's responsibility for data semantics.
Before change, validate versions, hosts, identities, artifacts, topology and the recovery boundary without mutating the service.
During change, persist progress, expose stop conditions and prevent a partial result from being mistaken for success.
After change, observe cluster health; replication lag; rejected records; loop-prevention drops; consumer lag; duplicate rate; recovery time; cross-site throughput and run representative application journeys, not only process checks.
For recovery, protect the last known-good authority and require an explicit decision before promotion, rollback or destructive cleanup.
The failure modes worth rehearsing
The test plan should make room for WAN partition, dual writes to the same logical key, replication loop, schema divergence, remote lag, site outage, offset mismatch, and failback surge. The purpose is not to produce a longer checklist. It is to learn whether operators can recognise the failure and choose the safe next action while the evidence is incomplete.
A human operating model
L1 operators need a plain-language answer to what is healthy, what is delayed and whether a change is in progress. Platform engineers need topology and evidence. Application owners need to know what users will experience. A useful platform connects those views without giving every person the same privileges.
The architecture worked because the sites could stand alone. Replication added continuity; it did not become the only thing holding the platform together.

Where this pattern earns its place
Retail
This pattern is relevant where teams need campaign peaks, catalogue freshness, transaction continuity and rapid rollback. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.
Telecom
This pattern is relevant where teams need high event volume, distributed operations, identity boundaries and service assurance. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.
Gaming
This pattern is relevant where teams need latency-sensitive sessions, leaderboards, event streams and regional player experience. The architecture must still be adjusted for local data classification, recovery objectives, workload shape and application behaviour.
The lesson we would carry into the next project
The architecture worked because the sites could stand alone. Replication added continuity; it did not become the only thing holding the platform together.
The strongest open-source platforms are not the ones with the most automation. They are the ones where automation makes ownership, risk and recovery easier for people to understand.
Start with one workload. Prove the operating model. Then scale it into a complete platform.




Explore Kafka active-active across two sites with selective replication, loop prevention, clear ownership and governed recovery.

Kafka Active-Active: Two Sites | OSS Manage

two-kafka-sites-one-event-story-building-active-active-without-building-a-loop

Kafka Active-Active: Two Sites, One Event Story

<div class="ql-editor read-mode"><p><img src="/files/AV3aPJZ.png" width="300"></p><p>As a Quality Assurance professional, I can vouch that the testing career path is one filled with many opportunities, challenges, and exciting strategies for advancement. With the ever-evolving world of technology, the role of a tester has become more critical than ever before. Whether you are a seasoned professional or a newcomer to the field, navigating the testing career path can be a daunting task.</p><p>However, with the right mindset, tools, and strategies, you can navigate the path to success and make a significant impact in the software development industry.</p><p>In this article, we will explore the opportunities, challenges, and strategies for advancement in the testing career path. So, fasten your seatbelts and get ready to embark on a journey to success in the world of testing.</p><p><br></p><h2>Stats to see the testing market moving forward:</h2><p>In the past three years, the field of software testing has seen significant growth in opportunities and advancements in tools and trends. With the rise of agile development methodologies and the increasing demand for faster delivery of high-quality software, there has been a surge in the adoption of automation testing, <a href="https://aws.amazon.com/devops/what-is-devops/#:~:text=DevOps%20is%20the%20combination%20of,development%20and%20infrastructure%20management%20processes." rel="noopener noreferrer">DevOps</a>, and continuous testing practices. <a href="https://www.marketsandmarkets.com/Market-Reports/continuous-testing-market-189840521.html" rel="noopener noreferrer">According to a report by MarketsandMarkets</a>, the global software testing market size is expected to grow from $26.41 billion in 2018 to $50.69 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 13.0% during the forecast period.</p><p>Some of the popular tools and trends in software testing that have gained momentum in the last few years include AI-powered testing, test automation frameworks such as <a href="https://www.selenium.dev/" rel="noopener noreferrer">Selenium</a> and <a href="https://appium.io/" rel="noopener noreferrer">Appium</a>, cloud-based testing, and mobile testing. As per a report by <a href="https://www.statista.com/" rel="noopener noreferrer">Statista</a>, the global market size of mobile testing was valued at $8.35 billion in 2019 and is expected to reach $20.77 billion by 2025, at a CAGR of 15.8% during the forecast period.</p><p><br></p><p><br></p><p><br></p><h2>Let’s explore the opportunities in the Testing Career Path:</h2><p><img src="/files/hLirEb2.jpg" width="300"></p><p>We all know that testing is a rapidly growing field, with many opportunities available for those interested in pursuing a career in this area. Some of the opportunities in the testing career path include:</p><p><br></p><h3>1. Software Tester:</h3><p>As a software tester, your primary responsibility is to test software products to ensure that they meet the requirements of users. You will work with developers and other members of the software development team to identify defects, report bugs, and help improve the quality of software products. Key skills would include</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Understanding of software testing techniques and methodologies</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Knowledge of different types of testing such as functional, integration, and regression testing</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Experience in creating test plans and test cases</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Familiarity with bug tracking and reporting tools such as <a href="https://en.wikipedia.org/wiki/Jira_(software)" rel="noopener noreferrer">JIRA</a></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Knowledge of programming languages like Java, <a href="https://hybrowlabs.com/blog/python-power-tools-10-must-have-libraries-for-supercharging-your-projects" rel="noopener noreferrer">Python</a>, and C++</li></ol><p><br></p><h3>2. Quality Assurance Analyst:</h3><p>As a <a href="https://en.wikipedia.org/wiki/Quality_assurance" rel="noopener noreferrer">Quality Assurance (QA)</a> Analyst, you will be responsible for ensuring that the software products meet the standards and requirements of the organization. You will need to have the following skills to ensure that software products are of high quality and meet the needs of users.</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Knowledge of software quality assurance principles and processes like Functional and Interface specification,Conventions etc..</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Experience in creating test plans and test cases</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Familiarity with bug tracking and reporting tools like Jira</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Understanding of different types of testing such as functional, integration, and regression testing and when and where to use them for effectiveness.</li></ol><p><br></p><h3>3. Test Automation Engineer:</h3><p>One of the most prominent roles that is gaining popularity is that of a Test Automation Engineer, and as same you will be responsible for developing and implementing automated test scripts to ensure the quality of software products.In this role the major responsibility is to work with developers and other members of the software development team to identify defects and ensure that they are addressed before software products are released. Key skills include</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Proficiency in automation testing tools such as Selenium, Appium, and <a href="https://jmeter.apache.org/" rel="noopener noreferrer">JMeter</a></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Strong knowledge of scripting languages such as Python and JavaScript</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Experience in creating and executing automated test scripts</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Understanding of software development principles and practices</li></ol><h3><br></h3><h3>4. Performance Tester:</h3><p>As a Performance Tester, you will be responsible for ensuring that software products perform well under different conditions. You will use tools to simulate different scenarios and identify potential performance issues before software products are released.</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Understanding of performance testing concepts and tools such as <a href="https://en.wikipedia.org/wiki/LoadRunner" rel="noopener noreferrer">LoadRunner</a> and JMeter</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Knowledge of server architecture and infrastructure</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Experience in creating and executing performance test scripts</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Strong sense and ability to analyze test results and identify performance issues</li></ol><p><br></p><h3>5. Security Tester:</h3><p>As a Security Tester, you will be responsible for ensuring that software products are secure and free from vulnerabilities. You will identify security risks and work with developers and other members of the software development team to address these risks.</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Knowledge of security testing tools such as <a href="https://en.wikipedia.org/wiki/OWASP_ZAP" rel="noopener noreferrer">OWASP ZAP</a> and <a href="https://www.geeksforgeeks.org/what-is-burp-suite/" rel="noopener noreferrer">Burp Suite</a></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Understanding of security testing methodologies and best practices</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Knowledge of web application architecture and security protocols such as <a href="https://www.geeksforgeeks.org/secure-socket-layer-ssl/" rel="noopener noreferrer">SSL</a> and <a href="https://www.geeksforgeeks.org/transport-layer-security-tls/" rel="noopener noreferrer">TLS</a></li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Experience in identifying and mitigating security vulnerabilities</li></ol><p><br></p><h2>Challenges one can face in the Testing Career Path:</h2><p><img src="/files/0UxOY0G.png" width="300"></p><p>While there are many opportunities available in the testing career path, there are also several challenges that you may face. Some of the challenges include:</p><h3>1. Keeping up with new technologies:</h3><p>Technology is rapidly changing, and as a tester, you need to stay up-to-date with new technologies to ensure that you are equipped with the skills and knowledge needed to test new software products.</p><h3>2. Pressure to release software products quickly:</h3><p>In today's fast-paced software development environment, there is often pressure to release software products quickly. As a tester, you may be required to test software products under tight deadlines, which can be challenging.</p><h3>3. Working with developers who do not prioritize testing:</h3><p>Some developers may not prioritize testing, which can make your job as a tester more challenging. You may need to advocate for the importance of testing and work with developers to ensure that they understand the value of testing.</p><h3>4. Dealing with difficult stakeholders:</h3><p>As a tester, you may need to deal with difficult stakeholders, such as project managers or clients, who may not understand the importance of testing or the time and resources required to ensure high-quality software products.</p><h3>5. Limited career advancement opportunities:</h3><p>In some organizations, there may be limited career advancement opportunities for testers, which can be frustrating if you are looking to advance your career.</p><p><br></p><p>With the above facts stated, we would also need to keep a plan ready which would not stop us from the growth we are wanting to achieve. So, let’s have a look at them</p><p><br></p><h2>Strategies for Advancement in the Testing Career Path:</h2><p><img src="/files/s4SzPv2.jpg" style="cursor: nwse-resize;" width="300"></p><p>Despite the challenges, there are several strategies that you can use to advance your career in the testing career path. These include:</p><h3>1. Develop your skills and knowledge:</h3><p>To advance your career in the testing career path, it's essential to continue developing your skills and knowledge. Attend training sessions, take online courses, read books, and attend conferences to stay up-to-date with the latest testing techniques and technologies. This will ensure that you remain competitive and valuable to your organization.</p><h3>2. Collaborate with other teams:</h3><p>Collaborating with other teams, such as developers, project managers, and business analysts, can help you gain a deeper understanding of the software development process. This knowledge can be invaluable in identifying potential issues early in the development process, leading to higher quality software products.</p><h3>3. Build a strong network:</h3><p>Building a strong professional network can help you stay informed about job opportunities and industry trends. Attend industry events, join online testing communities, and connect with other testing professionals on social media platforms to build your network.</p><h3>4. Insist and advocate for the importance of testing:</h3><p>As a tester, you need to advocate for the importance of testing and work with developers and other stakeholders to ensure that testing is prioritized throughout the software development process. This can help ensure that high-quality software products are delivered to users.</p><h3>5. Look for opportunities for advancement:</h3><p>While there may be limited advancement opportunities for testers in some organizations, it's important to look for opportunities to advance your career. This may involve moving into a leadership role, specializing in a particular area of testing, or transitioning to a different role within the software development industry.</p><p><br></p><h2>Conclusion:</h2><p>Navigating the testing career path can be challenging, but with the right strategies, you can advance your career and become a valuable member of the software development team. Opportunities in testing are growing rapidly, and it's important to stay up-to-date with the latest technologies and techniques to remain competitive in the industry. Services like <u><a href="https://hybrowlabs.com/services" rel="noopener noreferrer">Hybrowlabs Development Service</a></u> can provide valuable guidance and support for professionals in the testing field. Collaboration, networking, and advocacy for testing can also help ensure that high-quality software products are delivered to users, further enhancing your career prospects and contributions to the industry.</p><h2>FAQs:</h2><h3>1.What skills do I need to succeed as a tester?</h3><p>Strong analytical and problem-solving skills, attention to detail, excellent communication skills, and knowledge of testing techniques and tools are essential for success as a tester.</p><p><br></p><h3>2.What are the most significant challenges facing testers today?</h3><p>Keeping up with new technologies, pressure to release software products quickly, and dealing with difficult stakeholders are some of the most significant challenges facing testers today.</p><p><br></p><h3>3.What is the career growth potential for testers?</h3><p>In some organizations, there may be limited career advancement opportunities for testers. However, there are opportunities to specialize in a particular area of testing, move into a leadership role, or transition to a different role within the software development industry.</p><p><br></p><h3>4.How can I stay up-to-date with the latest testing techniques and technologies?</h3><p>Attend training sessions, take online courses, read books, attend conferences, and connect with other testing professionals to stay up-to-date with the latest testing techniques and technologies.</p><p><br></p><h3>5.How can I advocate for the importance of testing?</h3><p>Work with developers and other stakeholders to ensure that testing is prioritized throughout the software development process, and communicate the value of testing in delivering high-quality software products to users.</p></div>

Are you excited to start your career in testing? Lets have a quick look at Oppurtunities, Challanges and also Solutions to same.

Navigating the testing career path with ease.

navigating-the-testing-career-path

Navigating the testing career path: Opportunities, Challenges, and Strategies for Advancement

<div class="ql-editor read-mode"><p><img src="/files/s3sc1lM.png" width="300"></p><p>Have you ever had to test a web application and have spent hours doing it ? I have definitely done that a lot of times to be frank. And hence want to share with all of you something that I am currently using to simplify my testing process.</p><p>If you wish to improve the quality of your software and accelerate the testing process too, Then, you've come to the right place!</p><p><br></p><p><strong>Introducing Mastering End-to-End Testing with Playwright &amp; TypeScript </strong>- the ultimate guide to automating your web browser testing. Whether you're a seasoned developer or a newcomer to the world of testing, this blog has everything you need to know to take your testing game to the next level.</p><p>Get ready to dive deep into the world of end-to-end testing with Playwright and <a href="https://en.wikipedia.org/wiki/TypeScript" rel="noopener noreferrer">TypeScript</a>, and discover how you can streamline your testing process and deliver high-quality software with ease &amp; how it's changing the way we test web applications.</p><h3><br></h3><h3>So, let's get started with knowing&nbsp;-</h3><p><img src="/files/vrHr5Ai.png" width="300"></p><h2>What is Playwright and why choose it as your testing tool?</h2><p>Playwright is a <a href="https://en.wikipedia.org/wiki/Node.js" rel="noopener noreferrer">Node.js</a> library that provides a high-level API for automating web browsers. It was developed by Microsoft&nbsp;&amp; was first released in 2019. Playwright allows you to write tests in JavaScript or TypeScript&nbsp;&amp; can be used with any testing framework.</p><p>One of the major differences between Playwright&nbsp;&amp; other testing tools like <a href="https://www.geeksforgeeks.org/difference-between-puppeteer-and-selenium/" rel="noopener noreferrer">Selenium&nbsp;&amp; Puppeteer</a> is that it supports multiple browsers out of the box, including<a href="https://en.wikipedia.org/wiki/Chromium" rel="noopener noreferrer"> Chromium</a>, <a href="https://en.wikipedia.org/wiki/Firefox" rel="noopener noreferrer">Firefox</a>,&nbsp;&amp;<a href="https://en.wikipedia.org/wiki/WebKit" rel="noopener noreferrer"> WebKit</a>. This makes it easier to write cross-browser tests that can be run on multiple platforms very easily.</p><p><br></p><p>According to the <a href="https://2022.stateofjs.com/en-US/libraries/" rel="noopener noreferrer">State of JavaScript 2022 survey</a>, Playwright is one of the most popular end-to-end testing tools used by developers. The survey also indicates that Playwright is gaining popularity, as it was only released in 2019 but has already gained significant adoption in the developer community.</p><p>Additionally, the<a href="https://puppet.com/resources/report/state-of-devops-report/" rel="noopener noreferrer"> State of DevOps Report 2020</a> by <a href="https://en.wikipedia.org/wiki/Puppet" rel="noopener noreferrer">Puppet</a> and <a href="https://en.wikipedia.org/wiki/CircleCI" rel="noopener noreferrer">CircleCI</a> shows that organizations using continuous testing practices, such as end-to-end testing, are able to deploy code more frequently and with fewer errors. Playwright's speed and reliability make it an ideal tool for organizations looking to adopt continuous testing practices.</p><p><br></p><h2>Benefits of using Playwright for Testing:</h2><p><img src="/files/thHeWU7.png" width="300"></p><p>There are several benefits to using Playwright for testing web applications:</p><h3>1.Faster test execution times:</h3><p>Playwright is designed to be faster than other testing tools. In fact, Microsoft claims that Playwright is up to three times faster than <a href="https://learn.microsoft.com/en-us/microsoft-edge/puppeteer/" rel="noopener noreferrer">Puppeteer</a>.</p><h3>2.Improved reliability:</h3><p>Playwright uses a deterministic event system to ensure that tests are executed consistently across different environments. This makes it easier to find bugs early in the development cycle.</p><h3>3.Easy setup&nbsp;&amp; configuration:&nbsp;</h3><p>Playwright is easy to set up&nbsp;&amp; configure, even for developers who are new to testing tools.</p><p>First step to Automate Your Web Testing with Playwright:</p><p><br></p><p>As software development becomes increasingly complex, it is more important than ever to ensure that our applications work as expected. End-to-end testing is a crucial part of this process, allowing us to test the entire application from start to finish&nbsp;&amp; identify any issues before they reach our users. In this article, we will explore how to use Playwright&nbsp;&amp; TypeScript together to master end-to-end testing.</p><p>In this article, we will be discussing about the following listed topics in fine detail:, so stay put and have a great learning time ahead:</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Setting up your environment</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Writing tests with Playwright&nbsp;&amp; TypeScript</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Best practices for using Playwright&nbsp;&amp; TypeScript</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Advanced techniques for end-to-end testing</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Cross-browser testing with Playwright&nbsp;&amp; TypeScript</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><a href="https://en.wikipedia.org/wiki/CI/CD" rel="noopener noreferrer">CI/CD</a> pipeline for automated end-to-end testing</li></ol><p><br></p><h2>Setting up your test environment:</h2><p>Before we can start writing end-to-end tests with Playwright&nbsp;&amp; TypeScript, we need to set up our environment. This involves installing the necessary dependencies, configuring our <a href="https://aws.amazon.com/what-is/ide/" rel="noopener noreferrer">IDE</a>,&nbsp;&amp; setting up a sample project.</p><p>Installing dependencies</p><p>To use Playwright&nbsp;&amp; TypeScript, we need to install the following dependencies:</p><p><a href="https://hybrowlabs.com/blog/nextjs-the-react-framework-you-need-to-learn-asap" rel="noopener noreferrer">Node.js</a></p><p><a href="https://www.geeksforgeeks.org/node-js-npm-node-package-manager/" rel="noopener noreferrer">NPM (Node Package Manager)</a></p><p><a href="https://www.typescriptlang.org/" rel="noopener noreferrer">TypeScript</a></p><p><a href="https://en.wikipedia.org/wiki/Playwright" rel="noopener noreferrer">Playwright</a></p><p><br></p><p>To install these dependencies, we can run the following command in our terminal</p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain">npm install -g typescript&nbsp;</div><div class="ql-code-block" data-language="plain">npm init playwright@latest</div></pre><p><br></p><h2>Configuring your IDE:</h2><p>To make it easier to write&nbsp;&amp; debug our end-to-end tests, we can configure our IDE to work with TypeScript&nbsp;&amp; Playwright. For example, if we are using Visual Studio Code, we can install the following extensions:</p><p>TypeScript&nbsp;&amp; JavaScript Language Features</p><p>Playwright Test</p><p><br></p><h2>Setting up a sample project:</h2><p>To get started with writing end-to-end tests, we can set up a sample project using Playwright&nbsp;&amp; TypeScript. We can create a new directory for our project,&nbsp;&amp; then run the following comm &amp;s to initialize our project&nbsp;&amp; install the necessary dependencies:</p><p><br></p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain">mkdir my-project</div><div class="ql-code-block" data-language="plain">cd my-project&nbsp;</div><div class="ql-code-block" data-language="plain">npm init -y&nbsp;</div><div class="ql-code-block" data-language="plain">npm install --save-dev typescript playwright</div></pre><p><br></p><h2>Writing tests with Playwright&nbsp;&amp; TypeScript:</h2><p><img src="/files/195jbHy.png" width="300"></p><p>Now that we have set up our environment, we can easily start writing end-to-end tests with Playwright&nbsp;&amp; TypeScript. In this section, we will use a demo application as an example to demonstrate how we can use Playwright's API to interact with the application,&nbsp;&amp; how to write assertions with TypeScript to check the results of the tests that we run.</p><p><br></p><h3>Creating a test file:</h3><p>We can create a new TypeScript file in our project directory to write our end-to-end tests. For example, we can create a file named test.spec.ts,&nbsp;&amp; then write the following code to import Playwright&nbsp;&amp; set up our test:</p><p><br></p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain">import { chromium, Browser, Page } from 'playwright';</div><div class="ql-code-block" data-language="plain">let browser: Browser;&nbsp;</div><div class="ql-code-block" data-language="plain">let page: Page;&nbsp;</div><div class="ql-code-block" data-language="plain">test.describe('Sample application', () =&gt; { beforeAll(async () =&gt; { browser = await chromium.launch();</div><div class="ql-code-block" data-language="plain">page = await browser.newPage(); });&nbsp;</div><div class="ql-code-block" data-language="plain">afterAll(async () =&gt; { await browser.close(); });</div><div class="ql-code-block" data-language="plain">&nbsp;test('should display the title', async () =&gt; { await page.goto('https://example.com');&nbsp;</div><div class="ql-code-block" data-language="plain">const title = await page.title();</div><div class="ql-code-block" data-language="plain">&nbsp;expect(title).toBe('Example Domain'); });&nbsp;</div><div class="ql-code-block" data-language="plain">});</div></pre><p><br></p><p>This code uses the chromium browser</p><p><br></p><h2>Advanced Techniques for End-to-End Testing:</h2><p>In addition to the basic techniques for end-to-end testing discussed earlier, Playwright&nbsp;&amp; TypeScript offer a number of advanced techniques that help us write more robust&nbsp;&amp; efficient tests. Here are some of the most common ones for your day to day use:</p><h3><br></h3><h3>1. Parallel Testing:</h3><p>One of the most powerful features of Playwright is its ability to run tests in parallel, which can significantly reduce the time required to run a suite of tests. To enable parallel testing, you can use the test.parallel method, which allows you to specify the number of workers to use.</p><p><br></p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain">const { test, expect } = require('@playwright/test');</div><div class="ql-code-block" data-language="plain">&nbsp;test.describe.parallel('My Test Suite', () =&gt; { test('Test 1', async ({ page }) =&gt; { // Test 1 code });</div><div class="ql-code-block" data-language="plain">&nbsp;test('Test 2', async ({ page }) =&gt; { // Test 2 code });</div><div class="ql-code-block" data-language="plain">&nbsp;// Add more tests as needed });</div></pre><p><br></p><h3>2. Headless Testing:</h3><p>Headless testing refers to running tests without a visible browser window. This can be useful for running tests in a headless environment, such as a server or a Docker container, or for running tests on a remote machine with limited resources. To run tests in headless mode, you can use the browserType.launch method&nbsp;&amp; pass the headless option.</p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain"><br></div><div class="ql-code-block" data-language="plain">const { chromium } = require('playwright');</div><div class="ql-code-block" data-language="plain">(async () =&gt; { const browser = await chromium.launch({ headless: true });&nbsp;</div><div class="ql-code-block" data-language="plain">const page = await browser.newPage();</div><div class="ql-code-block" data-language="plain">&nbsp;await page.goto('https://example.com');&nbsp;</div><div class="ql-code-block" data-language="plain">// Run tests</div><div class="ql-code-block" data-language="plain">&nbsp;await browser.close(); });</div></pre><p><br></p><h3>3. Network Emulation:</h3><p><a href="https://en.wikipedia.org/wiki/Network_emulation#:~:text=Network%20emulation%20is%20the%20act,%2C%20errors%2C%20and%20drop%20packets." rel="noopener noreferrer">Network emulation</a> allows you to simulate different network conditions, such as slow or unreliable connections, to test how your application performs under different conditions. Playwright provides a number of options for network emulation, including offline, latency,&nbsp;&amp; download/upload speeds.</p><p><br></p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain">const { chromium } = require('playwright');</div><div class="ql-code-block" data-language="plain">&nbsp;(async () =&gt; { const browser = await chromium.launch();</div><div class="ql-code-block" data-language="plain">&nbsp;const context = await browser.newContext({ permissions: ['network'], offline: true, // Set additional network emulation options });</div><div class="ql-code-block" data-language="plain">&nbsp;const page = await context.newPage();&nbsp;</div><div class="ql-code-block" data-language="plain">await page.goto('https://example.com');&nbsp;</div><div class="ql-code-block" data-language="plain">// Run tests&nbsp;</div><div class="ql-code-block" data-language="plain">await browser.close(); });</div></pre><p><br></p><h2>Cross-browser testing with Playwright&nbsp;&amp; TypeScript:</h2><p>One of the biggest challenges in end-to-end testing is ensuring that your application works correctly across all major browsers. Fortunately, Playwright makes cross-browser testing a breeze, thanks to its built-in support for Chromium, Firefox,&nbsp;&amp; WebKit.</p><p>To use Playwright for cross-browser testing, simply specify which browser you want to test your application in when launching a new browser instance. For example, to launch a Firefox browser instance, you can use the following code:</p><p><br></p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain">const browser = await playwright.firefox.launch();</div></pre><p><br></p><p>You can then interact with the browser&nbsp;&amp; run your tests as usual, using the same Playwright API calls&nbsp;&amp; TypeScript assertions that you would use for a Chromium or WebKit browser.</p><p>If you need to test your application in multiple browsers at once, you can use the multi-browser feature of Playwright. This feature allows you to launch multiple browser instances&nbsp;&amp; run your tests in parallel, which can greatly reduce the amount of time it takes to run your tests.</p><p>To use the multi-browser feature, simply create a list of browser types that you want to test your application in,&nbsp;&amp; then launch each browser instance in a separate thread. For example, to launch your tests in both Chromium&nbsp;&amp; Firefox, you can use the following code:</p><p><br></p><pre class="ql-code-block-container" spellcheck="false"><div class="ql-code-block" data-language="plain">const browsers = ['chromium', 'firefox'];&nbsp;</div><div class="ql-code-block" data-language="plain">const promises = browsers.map(async (browserType) =&gt; { const browser = await playwright[browserType].launch();</div><div class="ql-code-block" data-language="plain">&nbsp;const context = await browser.newContext();</div><div class="ql-code-block" data-language="plain">&nbsp;const page = await context.newPage();</div><div class="ql-code-block" data-language="plain">&nbsp;await page.goto('https://your-app-url.com'); // Run your tests });</div><div class="ql-code-block" data-language="plain">&nbsp;await Promise.all(promises);</div></pre><p><br></p><p>This code will launch a new browser instance for each browser type specified in the browsers array,&nbsp;&amp; then run your tests in each browser in parallel.</p><h2><br></h2><h2>CI/CD pipeline for automated end-to-end testing:</h2><p><img src="/files/B2Uer8F.png" width="300"></p><p>Automating your end-to-end tests is essential for ensuring that your application remains stable&nbsp;&amp; bug-free as it evolves over time. To automate your tests, you can set up a CI/CD pipeline that automatically runs your tests every time you push changes to your codebase.</p><p>To set up a CI/CD pipeline for automated end-to-end testing with Playwright&nbsp;&amp; TypeScript, you can use a tool like GitHub Actions or CircleCI. These tools allow you to define a series of steps that your pipeline should follow, such as building your application, running your tests,&nbsp;&amp; deploying your code to production.</p><p>To run your Playwright tests in your pipeline, you can use the Playwright GitHub Action or CircleCI Orb. These tools allow you to easily configure your pipeline to run your tests in multiple browsers&nbsp;&amp; environments,&nbsp;&amp; to generate detailed test reports that can help you quickly identify any issues with your application.</p><p><br></p><h2>Conclusion:</h2><p>End-to-end testing is an essential part of the software development process, and Playwright &amp; TypeScript make it easier &amp; more reliable than ever before. By following the best practices &amp; advanced techniques outlined in this article, you can create robust &amp; maintainable end-to-end tests that ensure your application works correctly across all major browsers &amp; platforms.</p><p>Remember to keep your tests organized &amp; modular, and don’t forget to make the best use of tools like page objects to make your tests more maintainable. Always remember that to automate your tests, use a CI/CD pipeline to ensure that your application remains stable &amp; bug-free as it evolves over time. Utilizing services like <u><a href="https://hybrowlabs.com/services" rel="noopener noreferrer">Hybrowlabs Development services</a></u> can further support these efforts and help create high-quality, reliable end-to-end tests for your application.</p><p><br></p><p><br></p><h2>FAQs</h2><h3>1.What is Playwright?</h3><p>Playwright is a powerful Node.js library designed to streamline and automate web browser interactions, making it an essential tool for developers and testers alike.. It allows you to write end-to-end tests for your web applications that simulate user interactions&nbsp;&amp; check for expected results.</p><p><br></p><h3>2.&nbsp;What is TypeScript?</h3><p>&nbsp;TypeScript is a superset of JavaScript that adds optional static typing, class-based object-oriented programming,&nbsp;&amp; other features to JavaScript. It is a popular choice for building large-scale JavaScript applications, including end-to-end testing frameworks.</p><p><br></p><h3>3.Why is end-to-end testing important?</h3><p>&nbsp;End-to-end testing is important because it allows you to test your application as a whole, from the user interface to the backend, to ensure that all the different components are working together as expected.</p><h3><br></h3><h3>4.Why is cross-browser testing important?</h3><p>Cross-browser testing is important because different browsers can render web pages differently, leading to inconsistencies&nbsp;&amp; bugs in your application. Cross-browser testing ensures that your application works correctly across all the browsers that your users might be using.</p><h3><br></h3><h3>5.What are some best practices for end-to-end testing?</h3><p>Some best practices for end-to-end testing include writing clean&nbsp;&amp; maintainable code, using page objects to organize tests,&nbsp;&amp; optimizing test execution times.</p></div>

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Ambreen Fatema