
Tomasz Grabiec engineered core distributed systems features and reliability improvements in the scylladb/scylladb repository, focusing on scalable topology, rack-aware replication, and robust load balancing. He designed and implemented algorithms in C++ and Python to optimize tablet allocation, automate replication factor handling, and enhance operational observability. His work included performance tuning, concurrency control, and memory management, addressing challenges in multi-datacenter deployments and cluster scaling. By refactoring code for maintainability and expanding test coverage, Tomasz ensured safer topology changes and reduced operational risk. The depth of his contributions reflects strong backend development skills and a comprehensive approach to distributed database engineering.
April 2026 monthly summary for scylladb/scylladb focusing on reliability improvements in the test framework and stability of the CI suite. Implemented targeted fixes to the test polling mechanism to shield tests from transient server boot issues, improving overall test reliability and reducing flaky outcomes. The work tightens feedback loops for developers and accelerates release readiness by ensuring CI consistently reflects real code changes.
April 2026 monthly summary for scylladb/scylladb focusing on reliability improvements in the test framework and stability of the CI suite. Implemented targeted fixes to the test polling mechanism to shield tests from transient server boot issues, improving overall test reliability and reducing flaky outcomes. The work tightens feedback loops for developers and accelerates release readiness by ensuring CI consistently reflects real code changes.
March 2026 performance summary for scylladb/scylladb focused on stability, scalability, and correctness of topology, storage group merges, and load balancing. Delivered key features, fixed critical deadlocks, and improved test reliability, enabling safer topology changes and more accurate resource planning.
March 2026 performance summary for scylladb/scylladb focused on stability, scalability, and correctness of topology, storage group merges, and load balancing. Delivered key features, fixed critical deadlocks, and improved test reliability, enabling safer topology changes and more accurate resource planning.
February 2026 monthly summary for scylladb/scylladb focusing on performance, scalability, and reliability. Delivered configurable tablet migration concurrency with load-balancer adjustments to allow zero-load migrations, major memory/layout optimizations for sstables index handling, memory management improvements, enhanced benchmarking tooling, a VINT zero-case correctness fix, and reliability improvements in test tooling and stability.
February 2026 monthly summary for scylladb/scylladb focusing on performance, scalability, and reliability. Delivered configurable tablet migration concurrency with load-balancer adjustments to allow zero-load migrations, major memory/layout optimizations for sstables index handling, memory management improvements, enhanced benchmarking tooling, a VINT zero-case correctness fix, and reliability improvements in test tooling and stability.
January 2026 focused on stabilizing topology operations, improving test reliability, and delivering performance-oriented enhancements in the load-balancer and tablet management across the scylladb/scylladb repository. Key efforts contributed to more robust topology reactions to stats refresh, higher test stability, and clearer diagnostics, enabling faster iteration and safer deployments.
January 2026 focused on stabilizing topology operations, improving test reliability, and delivering performance-oriented enhancements in the load-balancer and tablet management across the scylladb/scylladb repository. Key efforts contributed to more robust topology reactions to stats refresh, higher test stability, and clearer diagnostics, enabling faster iteration and safer deployments.
December 2025: Focused on performance, reliability, and observability improvements across topology, draining, and load-balancing workflows. Delivered build-time and runtime optimizations, expanded test coverage, improved debugging, and modernized schema support. These changes reduce developer feedback loop, stabilize parallel operations, and enhance cluster visibility for faster issue resolution and higher availability.
December 2025: Focused on performance, reliability, and observability improvements across topology, draining, and load-balancing workflows. Delivered build-time and runtime optimizations, expanded test coverage, improved debugging, and modernized schema support. These changes reduce developer feedback loop, stabilize parallel operations, and enhance cluster visibility for faster issue resolution and higher availability.
November 2025 monthly summary for scylladb/scylladb: Delivered robust address map replication with barrier synchronization, enhanced tablet draining and topology management, and improved error reporting for the scylla-sstable tool. These changes lowered latency, increased reliability under high load, and improved operational debugging.
November 2025 monthly summary for scylladb/scylladb: Delivered robust address map replication with barrier synchronization, enhanced tablet draining and topology management, and improved error reporting for the scylla-sstable tool. These changes lowered latency, increased reliability under high load, and improved operational debugging.
Monthly accomplishments for 2025-10 focused on delivering operational resilience, scalable topology, and improved replication handling for scylladb/scylladb, with aligned tests and quality improvements.
Monthly accomplishments for 2025-10 focused on delivering operational resilience, scalable topology, and improved replication handling for scylladb/scylladb, with aligned tests and quality improvements.
September 2025 monthly summary focused on delivering performance, reliability, and maintainability improvements for tablet load balancing in the scylladb/scylladb repo, plus enhanced testing and a centralized replication configuration utility. The work reduced rebalance time, improved safety of plan-making across DCs/racks, and strengthened test coverage for replica placement changes. Foundational refactors prepare the codebase for future scalability and easier maintenance across replication strategies.
September 2025 monthly summary focused on delivering performance, reliability, and maintainability improvements for tablet load balancing in the scylladb/scylladb repo, plus enhanced testing and a centralized replication configuration utility. The work reduced rebalance time, improved safety of plan-making across DCs/racks, and strengthened test coverage for replica placement changes. Foundational refactors prepare the codebase for future scalability and easier maintenance across replication strategies.
August 2025 monthly summary for scylladb/scylladb focusing on business value and technical achievements. Delivered rack-list replication factor support for keyspaces with parsing/validation and NetworkTopologyStrategy integration, backed by tests and user-facing documentation. Fixed a critical bug by preserving old replication options during ALTER for tablet-based keyspaces to prevent data loss or misconfiguration. Advanced topology operations with parallel tablet draining during decommission/bootstrap, along with cancel-request update refinements and improved observability via debug logging. Introduced ks_prop_defs.flattened() to support nested replication options, enabling robust option handling. Expanded test coverage and documentation to reflect rack-list behavior and topology changes.
August 2025 monthly summary for scylladb/scylladb focusing on business value and technical achievements. Delivered rack-list replication factor support for keyspaces with parsing/validation and NetworkTopologyStrategy integration, backed by tests and user-facing documentation. Fixed a critical bug by preserving old replication options during ALTER for tablet-based keyspaces to prevent data loss or misconfiguration. Advanced topology operations with parallel tablet draining during decommission/bootstrap, along with cancel-request update refinements and improved observability via debug logging. Introduced ks_prop_defs.flattened() to support nested replication options, enabling robust option handling. Expanded test coverage and documentation to reflect rack-list behavior and topology changes.
July 2025 monthly summary for scylladb/scylladb:Key accomplishments centered on reliability, scalability, and test coverage for multi-datacenter deployments.Implemented robust keyspace ALTER option processing across vnode/tablet paths with early error checks and enhanced validation to prevent misconfigurations and test flakiness.Improved migration and streaming reliability by reorganizing scheduling groups (group0 barrier under gossip scheduling) and running view checks in a separate scheduling group to avoid deadlocks.Expanded test infrastructure for rack-list-based replication factors to validate multi-dc scenarios and prepare for auto-expansion.Ensured immediate load statistics refresh after node replacement to keep tablet scheduler decisions current.Technologies demonstrated include topology coordination, CQL coordinator option processing, scheduling group design, and test automation.
July 2025 monthly summary for scylladb/scylladb:Key accomplishments centered on reliability, scalability, and test coverage for multi-datacenter deployments.Implemented robust keyspace ALTER option processing across vnode/tablet paths with early error checks and enhanced validation to prevent misconfigurations and test flakiness.Improved migration and streaming reliability by reorganizing scheduling groups (group0 barrier under gossip scheduling) and running view checks in a separate scheduling group to avoid deadlocks.Expanded test infrastructure for rack-list-based replication factors to validate multi-dc scenarios and prepare for auto-expansion.Ensured immediate load statistics refresh after node replacement to keep tablet scheduler decisions current.Technologies demonstrated include topology coordination, CQL coordinator option processing, scheduling group design, and test automation.
June 2025 performance summary for scylladb/scylladb: Delivered multi-rack rack-aware cluster creation with automatic RF expansion to rack lists, addressing keyspace validation when rack-aware settings are enforced. Strengthened test reliability for rack validity and RF handling across per-shard tests and Alternator scenarios. These changes reduce operational risk in multi-datacenter deployments and improve the robustness of automated deployments.
June 2025 performance summary for scylladb/scylladb: Delivered multi-rack rack-aware cluster creation with automatic RF expansion to rack lists, addressing keyspace validation when rack-aware settings are enforced. Strengthened test reliability for rack validity and RF handling across per-shard tests and Alternator scenarios. These changes reduce operational risk in multi-datacenter deployments and improve the robustness of automated deployments.
May 2025 monthly summary for scylladb/scylladb. Key features delivered include rack-aware data placement enhancements in the network topology and keyspace replication, along with automation for replication factor handling in new data centers. Major tests were added to validate rack-based RF behavior. The work also improved tablet allocation to respect rack bindings. Major fixes were applied to ensure rack boundaries are respected during tablet reallocation and that replicas bind to racks appropriately. Overall, this enhances multi-datacenter resilience, reduces manual configuration effort, and strengthens data placement guarantees.
May 2025 monthly summary for scylladb/scylladb. Key features delivered include rack-aware data placement enhancements in the network topology and keyspace replication, along with automation for replication factor handling in new data centers. Major tests were added to validate rack-based RF behavior. The work also improved tablet allocation to respect rack bindings. Major fixes were applied to ensure rack boundaries are respected during tablet reallocation and that replicas bind to racks appropriately. Overall, this enhances multi-datacenter resilience, reduces manual configuration effort, and strengthens data placement guarantees.
Month: 2025-04 • Delivered observability and allocation improvements for scylladb/scylladb, focusing on per-node load visibility, balanced new-table allocation, and robust testing. Key features: Virtual Tables and Load Monitoring Improvements (system.load_per_node exposure; consolidated load_stats); Table Allocation Balancing for New Tables (per-table balance prioritization). Bug fix: Graceful handling of missing tablet maps in load sketch. Test infrastructure: topology_builder refactor to reduce duplication. Impact: improved scheduling decisions, better cluster utilization in heterogeneous environments, and stronger test coverage with updated docs.
Month: 2025-04 • Delivered observability and allocation improvements for scylladb/scylladb, focusing on per-node load visibility, balanced new-table allocation, and robust testing. Key features: Virtual Tables and Load Monitoring Improvements (system.load_per_node exposure; consolidated load_stats); Table Allocation Balancing for New Tables (per-table balance prioritization). Bug fix: Graceful handling of missing tablet maps in load sketch. Test infrastructure: topology_builder refactor to reduce duplication. Impact: improved scheduling decisions, better cluster utilization in heterogeneous environments, and stronger test coverage with updated docs.
March 2025 focused on enhancing distribution, observability, and reliability in the scylladb/scylladb codebase. Delivered capacity-aware load balancing improvements with per-shard allocation, corrected load reporting for more accurate node balancing, introduced a storage-based tablet presentation mode for visual clarity, improved log messages around migration plan generation, and hardened test workflows with graceful shutdown to reduce flakiness. These changes strengthen cluster stability, optimize resource utilization, and improve CI reliability, delivering measurable business value in terms of more predictable performance and faster issue detection.
March 2025 focused on enhancing distribution, observability, and reliability in the scylladb/scylladb codebase. Delivered capacity-aware load balancing improvements with per-shard allocation, corrected load reporting for more accurate node balancing, introduced a storage-based tablet presentation mode for visual clarity, improved log messages around migration plan generation, and hardened test workflows with graceful shutdown to reduce flakiness. These changes strengthen cluster stability, optimize resource utilization, and improve CI reliability, delivering measurable business value in terms of more predictable performance and faster issue detection.
February 2025 — Focused on scalable, capacity-aware table management and improved observability for ScyllaDB clusters. Investments in load balancing, topology capacity calculations, monitoring, and performance testing yielded faster, more reliable startups, better resource utilization, and stronger validation through expanded tests.
February 2025 — Focused on scalable, capacity-aware table management and improved observability for ScyllaDB clusters. Investments in load balancing, topology capacity calculations, monitoring, and performance testing yielded faster, more reliable startups, better resource utilization, and stronger validation through expanded tests.
2025-01 Monthly Summary for scylladb/scylladb: Delivered a major overhaul of the Tablet Distribution and Sizing Framework to enhance stability, scalability, and performance in distributed tablet operations. Implemented centralized sizing planning via make_sizing_plan(), introduced per-shard goals, and consolidated initial allocation, resizing, and hints handling. Refactored the internal balancer to simplify usage, store configuration as instance members, and strengthened logging around resize decisions and target counts. Improved testing infrastructure and topology validation to increase coverage of load balancer scenarios and topology changes. Fixed a critical edge-case crash during table creation when a rack contains no normal nodes, with targeted tests to prevent regression. Overall, these changes improve predictability, reduce operational risk, and enable more aggressive, data-driven scaling while maintaining performance.
2025-01 Monthly Summary for scylladb/scylladb: Delivered a major overhaul of the Tablet Distribution and Sizing Framework to enhance stability, scalability, and performance in distributed tablet operations. Implemented centralized sizing planning via make_sizing_plan(), introduced per-shard goals, and consolidated initial allocation, resizing, and hints handling. Refactored the internal balancer to simplify usage, store configuration as instance members, and strengthened logging around resize decisions and target counts. Improved testing infrastructure and topology validation to increase coverage of load balancer scenarios and topology changes. Fixed a critical edge-case crash during table creation when a rack contains no normal nodes, with targeted tests to prevent regression. Overall, these changes improve predictability, reduce operational risk, and enable more aggressive, data-driven scaling while maintaining performance.
December 2024: Delivered resilience and scale-out improvements for the scylladb/scylladb project. Implemented robust draining and replication-aware load balancing across heterogeneous clusters, including per-shard load balancing during decommissioning, maintaining tablet_draining until all tablets are drained, skipping draining for nodes in skiplist, and enforcing replication-factor constraints during last-node draining. Added tablet distribution enhancements for new tables: initial_scale now represents the minimum-averaged tablets per shard, with a default initial tablet count scale of 10 to ensure a sufficient number of replicas and prevent overshoot. These changes increase reliability during node decommission, reduce data-skew risk in mixed-capacity environments, and provide more predictable performance for scale-out workloads. Demonstrated competencies in distributed systems design, load-balancing strategies, and tablet distribution algorithms.
December 2024: Delivered resilience and scale-out improvements for the scylladb/scylladb project. Implemented robust draining and replication-aware load balancing across heterogeneous clusters, including per-shard load balancing during decommissioning, maintaining tablet_draining until all tablets are drained, skipping draining for nodes in skiplist, and enforcing replication-factor constraints during last-node draining. Added tablet distribution enhancements for new tables: initial_scale now represents the minimum-averaged tablets per shard, with a default initial tablet count scale of 10 to ensure a sufficient number of replicas and prevent overshoot. These changes increase reliability during node decommission, reduce data-skew risk in mixed-capacity environments, and provide more predictable performance for scale-out workloads. Demonstrated competencies in distributed systems design, load-balancing strategies, and tablet distribution algorithms.
November 2024 monthly summary for scylladb/scylladb: Delivered key reliability and consistency improvements across schema versioning, hashing, and time-based UUIDs. Implemented hash-based schema versioning with auto version computation and raw schema storage, enhancing cross-node stability. Added new hashers for double, unique_ptr, and unordered_map to improve hashing consistency across components and platforms. Fixed time-based UUID TTL calculations by honoring clock offsets with db_clock to prevent premature expirations in test environments. These changes strengthen data integrity, make schema evolution safer, and improve test reliability, demonstrating strong C++ systems programming and performance-oriented engineering.
November 2024 monthly summary for scylladb/scylladb: Delivered key reliability and consistency improvements across schema versioning, hashing, and time-based UUIDs. Implemented hash-based schema versioning with auto version computation and raw schema storage, enhancing cross-node stability. Added new hashers for double, unique_ptr, and unordered_map to improve hashing consistency across components and platforms. Fixed time-based UUID TTL calculations by honoring clock offsets with db_clock to prevent premature expirations in test environments. These changes strengthen data integrity, make schema evolution safer, and improve test reliability, demonstrating strong C++ systems programming and performance-oriented engineering.
Overview for 2024-10: Performance and stability improvements in scylladb/scylladb were delivered through targeted sstable optimizations and a memory-safety bug fix. The work emphasizes business value by enhancing throughput for sstable-heavy workloads and reducing crash risk, contributing to more reliable service for customers. Key deliverables and impact: - Sstable performance optimizations: caching column value lengths during reads and optimizing destruction of resource units in the reader_concurrency_semaphore, reducing wait times and boosting throughput on sstable-heavy workloads. - Critical memory-safety fix: prevented potential use-after-free in column_translation by ensuring the schema pointer remains valid during usage, mitigating crash risk. Overall impact and accomplishments: - Higher read throughput and lower latency for sstable-heavy workloads. - Improved stability and reliability by hardening memory management and concurrency paths. - Clear, traceable changes with commits that reflect targeted performance and safety improvements. Technologies/skills demonstrated: - Low-level performance optimization (C++), concurrency patterns, and memory management. - Debugging and memory safety discipline, with precise code changes to lifetimes of schema pointers and resource destruction. - Incremental, well-scoped commits that improve throughput and safety without broad surface area changes.
Overview for 2024-10: Performance and stability improvements in scylladb/scylladb were delivered through targeted sstable optimizations and a memory-safety bug fix. The work emphasizes business value by enhancing throughput for sstable-heavy workloads and reducing crash risk, contributing to more reliable service for customers. Key deliverables and impact: - Sstable performance optimizations: caching column value lengths during reads and optimizing destruction of resource units in the reader_concurrency_semaphore, reducing wait times and boosting throughput on sstable-heavy workloads. - Critical memory-safety fix: prevented potential use-after-free in column_translation by ensuring the schema pointer remains valid during usage, mitigating crash risk. Overall impact and accomplishments: - Higher read throughput and lower latency for sstable-heavy workloads. - Improved stability and reliability by hardening memory management and concurrency paths. - Clear, traceable changes with commits that reflect targeted performance and safety improvements. Technologies/skills demonstrated: - Low-level performance optimization (C++), concurrency patterns, and memory management. - Debugging and memory safety discipline, with precise code changes to lifetimes of schema pointers and resource destruction. - Incremental, well-scoped commits that improve throughput and safety without broad surface area changes.

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