yugabyte/yugabyte-db
Jan 2026 – Apr 2026
3 Months active
Languages Used
C++SQLC
Technical Skills
C++C++ developmentbackend developmentconcurrent programmingdatabase managementdistributed systems
Siddharth Viswanath
PROFILE
Siddharth Viswanath
Worked on the yugabyte/yugabyte-db repository to enhance cross-cluster replication and failover workflows in a distributed database environment. Focused on reducing catalog operation latency and improving replication reliability, this developer implemented local consensus state lookups, asynchronous failover APIs, and on-demand snapshot mechanisms using C++ and SQL. Their work included refining error handling, clarifying internal naming, and expanding automated test coverage to validate performance and resilience. By introducing per-namespace failover snapshots and robust status persistence in SysCatalog, they enabled safer, faster disaster recovery while lowering operational overhead, demonstrating depth in backend development, concurrent programming, and distributed systems design and testing.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
3
Lines of code
2,531
Activity Months3
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304 peopleShared Repositories
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Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 – YugabyteDB: Delivered a robust asynchronous xCluster Failover workflow with improved visibility and upgrade/rollback safety. Implemented an asynchronous API with polling, SysCatalog-backed status persistence, and admin tooling, plus targeted tests and validation to ensure reliability in multi-cluster scenarios.
1 Commits • 1 Features
Apr 1, 2026April 2026 – YugabyteDB: Delivered a robust asynchronous xCluster Failover workflow with improved visibility and upgrade/rollback safety. Implemented an asynchronous API with polling, SysCatalog-backed status persistence, and admin tooling, plus targeted tests and validation to ensure reliability in multi-cluster scenarios.
April 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary: Delivered on-demand xCluster failover snapshots and hardened xCluster DDL replication resilience to improve reliability, reduce resource usage, and accelerate disaster recovery. Key outcomes: - On-demand xCluster failover: introduced per-namespace one-off snapshots taken at failover time, removing the need for continuous snapshot schedules and reducing disk growth; enables restore to safe MVCC points within retention window. - xCluster replication resilience: fixed bug where dropping invalid indexes could halt replication; added silent skip for phantom objects on the target and refined DDL applier flow to maintain progress. - API and workflow enhancements: new XClusterFailover RPC and associated task flow to orchestrate pause, snapshot creation, restore, and cleanup. - Quality and reliability: expanded automated tests covering failover and DDL replication edge cases; improved resilience across failover and replication scenarios. Business value: - Faster, safer failovers; lower operational costs due to eliminated continuous snapshot schedules; increased DR readiness and data integrity guarantees. Technologies/skills demonstrated: - XCluster replication, MVCC PITR, per-namespace snapshot management, RPC/API design, asynchronous task orchestration, test automation.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary: Delivered on-demand xCluster failover snapshots and hardened xCluster DDL replication resilience to improve reliability, reduce resource usage, and accelerate disaster recovery. Key outcomes: - On-demand xCluster failover: introduced per-namespace one-off snapshots taken at failover time, removing the need for continuous snapshot schedules and reducing disk growth; enables restore to safe MVCC points within retention window. - xCluster replication resilience: fixed bug where dropping invalid indexes could halt replication; added silent skip for phantom objects on the target and refined DDL applier flow to maintain progress. - API and workflow enhancements: new XClusterFailover RPC and associated task flow to orchestrate pause, snapshot creation, restore, and cleanup. - Quality and reliability: expanded automated tests covering failover and DDL replication edge cases; improved resilience across failover and replication scenarios. Business value: - Faster, safer failovers; lower operational costs due to eliminated continuous snapshot schedules; increased DR readiness and data integrity guarantees. Technologies/skills demonstrated: - XCluster replication, MVCC PITR, per-namespace snapshot management, RPC/API design, asynchronous task orchestration, test automation.
January 2026
5 Commits • 1 Features
Jan 1, 2026January 2026 — YugabyteDB (yugabyte/yugabyte-db). Focused on reducing latency in core catalog operations and improving cross-cluster replication stability, with measurable performance gains and clearer debugging. Key changes include: SysCatalog Leader Affinity Reliability and Latency Improvements (migrating from ListMasters to local consensus state lookups; early return on GetMasterEntryForHosts; improved error messaging and internal naming), xCluster Automatic DDL Replication: Skip replication of PUBLICATION/SUBSCRIPTION/SLOT DDLs to enable local execution and avoid replication failures, and a clarifying update to internal naming for maintainability. All changes backed by targeted automated tests and manual validations, including performance tests showing background task latency improvements from ~60 seconds to ~1 second under follower failure scenarios.
5 Commits • 1 Features
Jan 1, 2026January 2026 — YugabyteDB (yugabyte/yugabyte-db). Focused on reducing latency in core catalog operations and improving cross-cluster replication stability, with measurable performance gains and clearer debugging. Key changes include: SysCatalog Leader Affinity Reliability and Latency Improvements (migrating from ListMasters to local consensus state lookups; early return on GetMasterEntryForHosts; improved error messaging and internal naming), xCluster Automatic DDL Replication: Skip replication of PUBLICATION/SUBSCRIPTION/SLOT DDLs to enable local execution and avoid replication failures, and a clarifying update to internal naming for maintainability. All changes backed by targeted automated tests and manual validations, including performance tests showing background task latency improvements from ~60 seconds to ~1 second under follower failure scenarios.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability85.0%
Architecture97.6%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++SQL
Technical Skills
C++C++ developmentbackend developmentconcurrent programmingdatabase managementdistributed systemserror handlingloggingsystem designtesting frameworks
Repositories Contributed To
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