redpanda-data/redpanda
Jan 2025 – Jan 2026
13 Months active
Languages Used
C++PythonBazelGoStarlarkSQLShellJava
Technical Skills
Backend DevelopmentC++Code DocumentationConcurrencyConfigurationConfiguration Management
Michał Maślanka
PROFILE
Michał Maślanka
Michal contributed extensively to the redpanda-data/redpanda repository, building and refining distributed data infrastructure with a focus on reliability, observability, and performance. Over 13 months, he delivered features such as Iceberg integration, Kafka protocol extensions, and robust cluster linking, using C++, Python, and Bazel. His work included optimizing transactional flows, enhancing metadata management, and improving test stability through advanced concurrency and configuration management. Michal’s technical approach emphasized modular design, resilient error handling, and scalable system programming, resulting in maintainable code that addressed real-world operational risks. The depth of his engineering ensured production readiness and reduced deployment risk across releases.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
527Total
Bugs
74
Commits
527
Features
185
Lines of code
52,668
Activity Months13
Your Network
117 peopleSame Organization
@redpanda.com56
Work History
January 2026
8 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for redpanda-data/redpanda: delivered Iceberg integration enhancements and metadata management with improved transaction flow, extended coordinator state (snapshot_id and last sequence), and new release_table method; exposed snapshot_id via datalake admin API for better traceability; and stabilized testing to validate snapshot IDs and resilience. These changes strengthen data lake consistency, enable stitching between Iceberg snapshots and Redpanda offsets, reduce risk of duplicates, and improve governance. Key tech: Iceberg integration, REST catalog, coordinator state management, admin API exposure, and test engineering.
8 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for redpanda-data/redpanda: delivered Iceberg integration enhancements and metadata management with improved transaction flow, extended coordinator state (snapshot_id and last sequence), and new release_table method; exposed snapshot_id via datalake admin API for better traceability; and stabilized testing to validate snapshot IDs and resilience. These changes strengthen data lake consistency, enable stitching between Iceberg snapshots and Redpanda offsets, reduce risk of duplicates, and improve governance. Key tech: Iceberg integration, REST catalog, coordinator state management, admin API exposure, and test engineering.
January 2026
December 2025
9 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for redpanda-data/redpanda. Focused on delivering robust features, stabilizing tests, and enhancing performance and observability across the RPC and replication stack.
December 2025
9 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for redpanda-data/redpanda. Focused on delivering robust features, stabilizing tests, and enhancing performance and observability across the RPC and replication stack.
November 2025
18 Commits • 3 Features
Nov 1, 2025November 2025 — delivered standout improvements in transactional reliability, offset semantics, and production readiness, with focused enhancements to API design, data integrity, and test/CI robustness. The work spans feature delivery, bug fixes, and stability investments that directly reduce operational risk and improve production throughput. Key features delivered: - Enhanced remove_stream API with timeout control: Adds timeout parameter to remove_stream to better control deletions and avoid hangs. (Commit 69ea2346455ddaebd5e7c4a53f684a117537ca99) - Enable compaction for transactional control batches: Re-enable compaction for transactional control batches to restore prior behavior. (Commit 879bbfe6b7120edd07d4eb24e4cd9a204dfa92f3) - CI and test stability improvements: Expanded CI/test reliability with longer drift allowances, shorter test timeouts, and broader test infra refinements (multiple commits including 0415db56, 6a603702, ffea6a33, 656a8f9e, b5ce222b, etc.). Major bugs fixed: - Transactional integrity and offset semantics improvements: Fix high watermark translation with empty logs; protect LSO during begin/end tx; ensure stable offset fetch semantics; handle shutdown-cleanly in tx paths. (Commits 3e659635e5d2b6f43191d040d68299d15c7bd0c7, 579cdbfeac6d749aeaa66a24eb031853f2c3dd53, f469df6aa78ba476f50d4f1311c47005897ee635, 5d75abf228ba59e7c07339f48230145ee461ca36, 347b006a29fe3f316f83bfa8c2b8af7dbede3c35) - Topic metadata reliability during STM snapshot application: Ensure topic table state is applied before other components when applying a controller STM snapshot. (Commit b7c9dbcc906cfa1d9ee6d7b112de2459a2a2b077) - Migration robustness for consumer groups: Add retries to building group partition maps to handle race conditions and prevent crashes. (Commit df303706d797899ead3e0c98791c805f23a7551b) - Improve error handling for resource migrations: Return 400 Bad Request when accessing a resource currently migrating to improve UX. (Commit 6a5c75d94386211e1adbc39a052b3e4d3c353a4d) Overall impact and accomplishments: - Increased production reliability by hardening transactional paths, improving offset semantics, and ensuring consistent topic metadata during STM snapshot application. - Reduced operational risk in migrations and resource access, with clearer error signaling and retriable flows. - Strengthened test and CI stability to support faster, more reliable deployments and backports. Technologies and skills demonstrated: - C++ concurrency and distributed systems concepts: high watermark handling, offset translation, LSO locking, and snapshot orchestration. - STM-based transaction management and crash/recovery handling. - API design and error handling for better UX. - Test automation, CI reliability improvements, and infrastructure tunings for migration and deployment stability.
18 Commits • 3 Features
Nov 1, 2025November 2025 — delivered standout improvements in transactional reliability, offset semantics, and production readiness, with focused enhancements to API design, data integrity, and test/CI robustness. The work spans feature delivery, bug fixes, and stability investments that directly reduce operational risk and improve production throughput. Key features delivered: - Enhanced remove_stream API with timeout control: Adds timeout parameter to remove_stream to better control deletions and avoid hangs. (Commit 69ea2346455ddaebd5e7c4a53f684a117537ca99) - Enable compaction for transactional control batches: Re-enable compaction for transactional control batches to restore prior behavior. (Commit 879bbfe6b7120edd07d4eb24e4cd9a204dfa92f3) - CI and test stability improvements: Expanded CI/test reliability with longer drift allowances, shorter test timeouts, and broader test infra refinements (multiple commits including 0415db56, 6a603702, ffea6a33, 656a8f9e, b5ce222b, etc.). Major bugs fixed: - Transactional integrity and offset semantics improvements: Fix high watermark translation with empty logs; protect LSO during begin/end tx; ensure stable offset fetch semantics; handle shutdown-cleanly in tx paths. (Commits 3e659635e5d2b6f43191d040d68299d15c7bd0c7, 579cdbfeac6d749aeaa66a24eb031853f2c3dd53, f469df6aa78ba476f50d4f1311c47005897ee635, 5d75abf228ba59e7c07339f48230145ee461ca36, 347b006a29fe3f316f83bfa8c2b8af7dbede3c35) - Topic metadata reliability during STM snapshot application: Ensure topic table state is applied before other components when applying a controller STM snapshot. (Commit b7c9dbcc906cfa1d9ee6d7b112de2459a2a2b077) - Migration robustness for consumer groups: Add retries to building group partition maps to handle race conditions and prevent crashes. (Commit df303706d797899ead3e0c98791c805f23a7551b) - Improve error handling for resource migrations: Return 400 Bad Request when accessing a resource currently migrating to improve UX. (Commit 6a5c75d94386211e1adbc39a052b3e4d3c353a4d) Overall impact and accomplishments: - Increased production reliability by hardening transactional paths, improving offset semantics, and ensuring consistent topic metadata during STM snapshot application. - Reduced operational risk in migrations and resource access, with clearer error signaling and retriable flows. - Strengthened test and CI stability to support faster, more reliable deployments and backports. Technologies and skills demonstrated: - C++ concurrency and distributed systems concepts: high watermark handling, offset translation, LSO locking, and snapshot orchestration. - STM-based transaction management and crash/recovery handling. - API design and error handling for better UX. - Test automation, CI reliability improvements, and infrastructure tunings for migration and deployment stability.
November 2025
October 2025
39 Commits • 14 Features
Oct 1, 2025October 2025 (2025-10) was focused on stabilizing core data paths, improving resilience during outages, and enhancing testing and tooling to accelerate safe deployments. Key work spanned memory- and performance-optimizations, correctness hardening for sequencing, and robust cross-cluster synchronization, with a strong emphasis on reducing operator risk and improving business continuity.
October 2025
39 Commits • 14 Features
Oct 1, 2025October 2025 (2025-10) was focused on stabilizing core data paths, improving resilience during outages, and enhancing testing and tooling to accelerate safe deployments. Key work spanned memory- and performance-optimizations, correctness hardening for sequencing, and robust cross-cluster synchronization, with a strong emphasis on reducing operator risk and improving business continuity.
September 2025
81 Commits • 20 Features
Sep 1, 2025Month: 2025-09 — Delivered security, reliability, and performance gains across core data-plane, client integrations, and cluster linking. Implemented TLS infrastructure modernization, reusable TLS credentials utilities, partition metadata and health integration, and robust cluster mirroring with scheduling, improving migration correctness and observability. Expanded testing, benchmarks, and Kafka client integration to reduce risk in production rollouts. Addressed race conditions and edge-case offsets, enhancing recoverability and operator confidence in cluster linking scenarios.
81 Commits • 20 Features
Sep 1, 2025Month: 2025-09 — Delivered security, reliability, and performance gains across core data-plane, client integrations, and cluster linking. Implemented TLS infrastructure modernization, reusable TLS credentials utilities, partition metadata and health integration, and robust cluster mirroring with scheduling, improving migration correctness and observability. Expanded testing, benchmarks, and Kafka client integration to reduce risk in production rollouts. Addressed race conditions and edge-case offsets, enhancing recoverability and operator confidence in cluster linking scenarios.
September 2025
August 2025
39 Commits • 16 Features
Aug 1, 2025Month: 2025-08 — Redpanda data engineering monthly summary (repo: redpanda-data/redpanda). This month delivered key Kafka protocol capabilities, cluster linking improvements, and enhanced recovery/observability, creating immediate business value and stronger guarantees for cross-cluster operations. Key deliverables span protocol extensions, configuration/ lifecycle refinements, and health-focused instrumentation. The work emphasizes reliability, performance, and readiness for cross-cluster mirroring. Key highlights and outcomes: - Kafka RPC: list offsets support — introduced request/response for listing partition offsets, added RPC method to fetch partition offsets, wired in topic metadata cache in the client, and included a basic test to validate listing behavior. - Consumer offsets mirroring feature — established a cross-cluster mirroring path with a router interface, configuration converter, mirroring task, and tests to validate consumer group offset synchronization across clusters. - Leader and lifecycle improvements — wire in controller abort source into leaders_table to support abort signaling in leadership flow; refactors to improve startup semantics and lifecycle handling, reducing race risk. - Health and observability enhancements — enhanced health reporting: store partition statues in a map, include Kafka highwatermark in partition status, and store a copy of topic when collecting local reports, improving runtime visibility and issue diagnostics. - Recovery memory optimization — cleanup to remove unnecessary configuration providers and to utilize all available memory during recovery for faster, more scalable recovery across partitions. Business value and impact: - Safer leadership transitions and abort signaling reduce risk of leadership disruption. - Cross-cluster consumer offsets mirroring enables more reliable multi-cluster deployments and faster time-to-value for data replication strategies. - Improved health observability accelerates issue detection and reduces MTTR. - Memory-driven recovery increases recovery throughput and resilience under heavy cluster load. Technologies and skills demonstrated: - C++/Seastar backend development, Kafka protocol extension, cluster linking and mirroring concepts, testing strategies (unit/integration), memory management optimizations, and configuration/lifecycle refactoring.
August 2025
39 Commits • 16 Features
Aug 1, 2025Month: 2025-08 — Redpanda data engineering monthly summary (repo: redpanda-data/redpanda). This month delivered key Kafka protocol capabilities, cluster linking improvements, and enhanced recovery/observability, creating immediate business value and stronger guarantees for cross-cluster operations. Key deliverables span protocol extensions, configuration/ lifecycle refinements, and health-focused instrumentation. The work emphasizes reliability, performance, and readiness for cross-cluster mirroring. Key highlights and outcomes: - Kafka RPC: list offsets support — introduced request/response for listing partition offsets, added RPC method to fetch partition offsets, wired in topic metadata cache in the client, and included a basic test to validate listing behavior. - Consumer offsets mirroring feature — established a cross-cluster mirroring path with a router interface, configuration converter, mirroring task, and tests to validate consumer group offset synchronization across clusters. - Leader and lifecycle improvements — wire in controller abort source into leaders_table to support abort signaling in leadership flow; refactors to improve startup semantics and lifecycle handling, reducing race risk. - Health and observability enhancements — enhanced health reporting: store partition statues in a map, include Kafka highwatermark in partition status, and store a copy of topic when collecting local reports, improving runtime visibility and issue diagnostics. - Recovery memory optimization — cleanup to remove unnecessary configuration providers and to utilize all available memory during recovery for faster, more scalable recovery across partitions. Business value and impact: - Safer leadership transitions and abort signaling reduce risk of leadership disruption. - Cross-cluster consumer offsets mirroring enables more reliable multi-cluster deployments and faster time-to-value for data replication strategies. - Improved health observability accelerates issue detection and reduces MTTR. - Memory-driven recovery increases recovery throughput and resilience under heavy cluster load. Technologies and skills demonstrated: - C++/Seastar backend development, Kafka protocol extension, cluster linking and mirroring concepts, testing strategies (unit/integration), memory management optimizations, and configuration/lifecycle refactoring.
July 2025
58 Commits • 29 Features
Jul 1, 2025July 2025 monthly summary for redpanda: Focused on delivering core platform enhancements, improving reliability, and strengthening testing/packaging hygiene to drive business value and long-term maintainability. Highlights include a major transport/broker architecture refresh, cluster metadata lifecycle improvements with testing scaffolds, and direct consumer support with associated tests and verifications. In parallel, test hygiene, build maintenance, and packaging improvements reduced risk and streamlined CI/deployments.
58 Commits • 29 Features
Jul 1, 2025July 2025 monthly summary for redpanda: Focused on delivering core platform enhancements, improving reliability, and strengthening testing/packaging hygiene to drive business value and long-term maintainability. Highlights include a major transport/broker architecture refresh, cluster metadata lifecycle improvements with testing scaffolds, and direct consumer support with associated tests and verifications. In parallel, test hygiene, build maintenance, and packaging improvements reduced risk and streamlined CI/deployments.
July 2025
June 2025
51 Commits • 21 Features
Jun 1, 2025June 2025 performance summary for redpanda repository focused on stability, reliability, and developer productivity. Delivered API and configuration enhancements for the Kafka client, improved test stability and observability, modernized several code paths, and reinforced production readiness with resilient broker interaction strategies.
June 2025
51 Commits • 21 Features
Jun 1, 2025June 2025 performance summary for redpanda repository focused on stability, reliability, and developer productivity. Delivered API and configuration enhancements for the Kafka client, improved test stability and observability, modernized several code paths, and reinforced production readiness with resilient broker interaction strategies.
May 2025
57 Commits • 14 Features
May 1, 2025May 2025: In redpanda, delivered foundational reliability and observability improvements across partition balancing, health monitoring, telemetry, and cluster orchestration. Key work includes Partition Balancer refactor with extended observability and reallocations tracking; decommission failure reporting in status and tests; health monitor extension to report offline partitions in leaderless info with tests; usage stats propagation and test-result integration; and cluster scheduling group integration across controller components to enable cluster-level scheduling. These changes reduce operator toil, improve fault diagnosis, and lay groundwork for capacity planning and performance improvements.
57 Commits • 14 Features
May 1, 2025May 2025: In redpanda, delivered foundational reliability and observability improvements across partition balancing, health monitoring, telemetry, and cluster orchestration. Key work includes Partition Balancer refactor with extended observability and reallocations tracking; decommission failure reporting in status and tests; health monitor extension to report offline partitions in leaderless info with tests; usage stats propagation and test-result integration; and cluster scheduling group integration across controller components to enable cluster-level scheduling. These changes reduce operator toil, improve fault diagnosis, and lay groundwork for capacity planning and performance improvements.
May 2025
April 2025
46 Commits • 18 Features
Apr 1, 2025April 2025 (2025-04) monthly summary focused on delivering observability, reliability, and maintainability improvements in the redpanda repo. Emphasis this month was on boosting SLA adherence through backlog-aware throttling, expanding backlog visibility, strengthening recovery paths, and improving testing and maintainability across core state machines and translation components.
April 2025
46 Commits • 18 Features
Apr 1, 2025April 2025 (2025-04) monthly summary focused on delivering observability, reliability, and maintainability improvements in the redpanda repo. Emphasis this month was on boosting SLA adherence through backlog-aware throttling, expanding backlog visibility, strengthening recovery paths, and improving testing and maintainability across core state machines and translation components.
March 2025
59 Commits • 27 Features
Mar 1, 2025March 2025 monthly summary for redpanda: Delivered a set of high-impact features and reliability improvements across the Datalake, Iceberg transforms, translation, and replication subsystems. Key outcomes include improved path encoding and partition-key handling for datalake paths, validation enhancements and identity transform support for iceberg transforms, and stronger lifecycle/abort propagation to improve reliability during shutdown and replication. Introduced runtime configurability for max concurrent translations and exposed translation buffering state, along with throttling improvements and enhanced logging for observability. Many changes were accompanied by targeted tests and refactors to reduce risk and improve maintainability.
59 Commits • 27 Features
Mar 1, 2025March 2025 monthly summary for redpanda: Delivered a set of high-impact features and reliability improvements across the Datalake, Iceberg transforms, translation, and replication subsystems. Key outcomes include improved path encoding and partition-key handling for datalake paths, validation enhancements and identity transform support for iceberg transforms, and stronger lifecycle/abort propagation to improve reliability during shutdown and replication. Introduced runtime configurability for max concurrent translations and exposed translation buffering state, along with throttling improvements and enhanced logging for observability. Many changes were accompanied by targeted tests and refactors to reduce risk and improve maintainability.
March 2025
February 2025
50 Commits • 14 Features
Feb 1, 2025February 2025 highlights strong throughput and reliability gains across core data paths, expanded test coverage, and critical build/packaging and data-lake capabilities that reduce deployment risk and improve operator visibility. The month focused on delivering business value through performance-oriented refactors, safer replication, runtime configurability, and licensing safeguards for iceberg features.
February 2025
50 Commits • 14 Features
Feb 1, 2025February 2025 highlights strong throughput and reliability gains across core data paths, expanded test coverage, and critical build/packaging and data-lake capabilities that reduce deployment risk and improve operator visibility. The month focused on delivering business value through performance-oriented refactors, safer replication, runtime configurability, and licensing safeguards for iceberg features.
January 2025
12 Commits • 5 Features
Jan 1, 2025Month 2025-01: Focused on performance, latency, and reliability across Kafka, Raft, and datalake paths. Implemented scheduling-group driven throughput controls, reduced backpressure by removing raft buffering, introduced a dynamic backlog-based scheduling approach, strengthened test reliability, and improved storage size estimation. These changes deliver measurable business value in throughput, latency, and resilience, with broader operator visibility via debug logging and documentation.
12 Commits • 5 Features
Jan 1, 2025Month 2025-01: Focused on performance, latency, and reliability across Kafka, Raft, and datalake paths. Implemented scheduling-group driven throughput controls, reduced backpressure by removing raft buffering, introduced a dynamic backlog-based scheduling approach, strengthened test reliability, and improved storage size estimation. These changes deliver measurable business value in throughput, latency, and resilience, with broader operator visibility via debug logging and documentation.
January 2025
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Quality Metrics
Correctness92.0%
Maintainability90.4%
Architecture87.6%
Performance83.4%
AI Usage20.2%
Skills & Technologies
Programming Languages
BUILDBazelC++GoJavaMarkdownProtocol BuffersPythonSQLShell
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI developmentAWS S3AWS S3 APIAbstractionAsynchronous ProgrammingAuthenticationBackend DevelopmentBazelBenchmarkingBoostBug FixBuild System
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