
Meredith contributed to getsentry/snuba by engineering robust backend features that improved data retention, migration reliability, and operational observability. She implemented long-term data downsampling and daily storage selection, enabling efficient querying and storage management for outcomes data. Using Python, ClickHouse, and Kafka, Meredith enhanced deployment safety with health checks and streamlined migration workflows, including cross-host table copy with UI-driven verification. Her work addressed concurrency, rate limiting, and error handling, reducing operational risk and maintenance overhead. Meredith also improved test infrastructure and CI pipelines, accelerating feedback cycles and ensuring code quality. These efforts resulted in scalable, maintainable systems aligned with business needs.
February 2026 for getsentry/snuba: Business-value oriented improvements across multi-cluster operations, reliability, and test efficiency. Delivered cross-cluster table creation with host verification, improved delete performance controls, and extensive test infra upgrades that reduce feedback cycles and improve observability, while preserving correctness across clusters.
February 2026 for getsentry/snuba: Business-value oriented improvements across multi-cluster operations, reliability, and test efficiency. Delivered cross-cluster table creation with host verification, improved delete performance controls, and extensive test infra upgrades that reduce feedback cycles and improve observability, while preserving correctness across clusters.
January 2026 performance summary for getsentry Snuba and Sentry backends. Focused on delivering reliable data, safer data migrations, and faster CI feedback loops. Notable feature work includes uptime data retention enhancements, cross-host ClickHouse table copy with a UI workflow and dry-run option, and a manual event data deletion workflow. Key bug fixes improved observability and reduced noise in deletion operations. Also strengthened deletion capabilities in getsentry/sentry with a new tag-value deletion referrer. A major emphasis was placed on performance and tooling improvements in CI (Fast Revert Bot, EAP-based test fixtures), contributing to more deterministic PR flows and faster feedback to engineers. Business value centers on extended uptime analytics fidelity, safer data migrations, streamlined data governance, and faster engineering cycles.
January 2026 performance summary for getsentry Snuba and Sentry backends. Focused on delivering reliable data, safer data migrations, and faster CI feedback loops. Notable feature work includes uptime data retention enhancements, cross-host ClickHouse table copy with a UI workflow and dry-run option, and a manual event data deletion workflow. Key bug fixes improved observability and reduced noise in deletion operations. Also strengthened deletion capabilities in getsentry/sentry with a new tag-value deletion referrer. A major emphasis was placed on performance and tooling improvements in CI (Fast Revert Bot, EAP-based test fixtures), contributing to more deterministic PR flows and faster feedback to engineers. Business value centers on extended uptime analytics fidelity, safer data migrations, streamlined data governance, and faster engineering cycles.
December 2025: Delivered significant enhancements to Snuba admin and query capabilities, improving observability, operational flexibility, and data accuracy. These changes deliver measurable business value by extending audit history, enabling clusterless system queries, and refining routing retention behavior. Implementations were accompanied by targeted tests to ensure reliability and maintainability.
December 2025: Delivered significant enhancements to Snuba admin and query capabilities, improving observability, operational flexibility, and data accuracy. These changes deliver measurable business value by extending audit history, enabling clusterless system queries, and refining routing retention behavior. Implementations were accompanied by targeted tests to ensure reliability and maintainability.
In November 2025, Snuba delivered targeted performance and maintainability improvements for ClickHouse workloads, focusing on delete-query efficiency, compatibility, and configuration hygiene. The work emphasizes business value from faster, more reliable deletes, safer upgrades, and a leaner configuration surface for easier operations and faster troubleshooting.
In November 2025, Snuba delivered targeted performance and maintainability improvements for ClickHouse workloads, focusing on delete-query efficiency, compatibility, and configuration hygiene. The work emphasizes business value from faster, more reliable deletes, safer upgrades, and a leaner configuration surface for easier operations and faster troubleshooting.
October 2025 (getsentry/snuba) – Focused on shaping long-term data retention with a robust downsampling path and readiness for a 30-day non-sampled storage strategy.
October 2025 (getsentry/snuba) – Focused on shaping long-term data retention with a robust downsampling path and readiness for a 30-day non-sampled storage strategy.
September 2025: Two key features delivered for getsentry/snuba focusing on data management for outcomes and deployment reliability. 1) Outcomes Daily Storage Configuration and Intelligent Querying: Introduced daily storage configuration for outcomes with a new schema and allocation policies; updated the storage selector to route between hourly and daily outcomes based on query settings and time range to improve data management and querying efficiency. Commit: 9987ee89826dc3b5c693ce622de819bb2af3331f (ref(outcomes): storage selecter, settings, daily storage (try 2) (#7398)). 2) Deployment Health Checks Extended to DE Region: Adds a health check to the DE environment for the Snuba deployment pipeline to block deployments when unhealthy, extending the existing health check from the US region to prevent deployment issues and speed up incident resolution. Commit: be260d78898a52cef355a92014056203b8264bd2 (ref(gocd): add healthcheck to de (#7435)).
September 2025: Two key features delivered for getsentry/snuba focusing on data management for outcomes and deployment reliability. 1) Outcomes Daily Storage Configuration and Intelligent Querying: Introduced daily storage configuration for outcomes with a new schema and allocation policies; updated the storage selector to route between hourly and daily outcomes based on query settings and time range to improve data management and querying efficiency. Commit: 9987ee89826dc3b5c693ce622de819bb2af3331f (ref(outcomes): storage selecter, settings, daily storage (try 2) (#7398)). 2) Deployment Health Checks Extended to DE Region: Adds a health check to the DE environment for the Snuba deployment pipeline to block deployments when unhealthy, extending the existing health check from the US region to prevent deployment issues and speed up incident resolution. Commit: be260d78898a52cef355a92014056203b8264bd2 (ref(gocd): add healthcheck to de (#7435)).
Monthly summary for 2025-08: Focused on stabilizing data ingestion, observability, and compatibility. Delivered three high-impact items across getsentry/snuba: 1) Kafka Subscriptions now enforces LogAppendTime on the default topic with a crash-on-misconfig guard and a topic-recreation utility to support recoveries and improve consumer stability. 2) Sentry SDK tracing stability and API modernization achieved by upgrading sentry-sdk (to 2.33.2 and 2.35.0), resolving get_current_span issues and adding update_current_span for modernized span updates, improving observability and code clarity. 3) ClickHouse Compatibility updated maximum supported server version to 25.3.6.10034 to align with deployed clusters and enable newer features. These changes reduce data inconsistencies, enhance resilience, and ensure compatibility with current deployments.
Monthly summary for 2025-08: Focused on stabilizing data ingestion, observability, and compatibility. Delivered three high-impact items across getsentry/snuba: 1) Kafka Subscriptions now enforces LogAppendTime on the default topic with a crash-on-misconfig guard and a topic-recreation utility to support recoveries and improve consumer stability. 2) Sentry SDK tracing stability and API modernization achieved by upgrading sentry-sdk (to 2.33.2 and 2.35.0), resolving get_current_span issues and adding update_current_span for modernized span updates, improving observability and code clarity. 3) ClickHouse Compatibility updated maximum supported server version to 25.3.6.10034 to align with deployed clusters and enable newer features. These changes reduce data inconsistencies, enhance resilience, and ensure compatibility with current deployments.
July 2025 highlights: delivered stability and reliability improvements across Sentry and Snuba, focusing on API resilience, metadata operations, and observability. Key outcomes include a concurrency-limited API rate limiter for sensitive endpoints, a Zookeeper-based retry for metadata sync and enhanced DROP TABLE operations, a Sentry SDK upgrade for compatibility and improvements, and refined error reporting with a dedicated SubscriptionQueryException, plus a test suite cleanup to streamline validation. These workstreams reduce operational risk, improve triage, and support scalable growth.
July 2025 highlights: delivered stability and reliability improvements across Sentry and Snuba, focusing on API resilience, metadata operations, and observability. Key outcomes include a concurrency-limited API rate limiter for sensitive endpoints, a Zookeeper-based retry for metadata sync and enhanced DROP TABLE operations, a Sentry SDK upgrade for compatibility and improvements, and refined error reporting with a dedicated SubscriptionQueryException, plus a test suite cleanup to streamline validation. These workstreams reduce operational risk, improve triage, and support scalable growth.
June 2025 monthly summary focusing on reliability, data quality, and cross-repo consistency across Snuba and Sentry. Delivered targeted fixes and data-normalization improvements with associated test coverage, reducing API errors, data inconsistencies, and operational noise. Highlights include hardening of trace item order_by validation, deduplication of trace item attributes while preserving types, removal of non-informative logs, and normalization of trace detail typing to remove float representations where not needed.
June 2025 monthly summary focusing on reliability, data quality, and cross-repo consistency across Snuba and Sentry. Delivered targeted fixes and data-normalization improvements with associated test coverage, reducing API errors, data inconsistencies, and operational noise. Highlights include hardening of trace item order_by validation, deduplication of trace item attributes while preserving types, removal of non-informative logs, and normalization of trace detail typing to remove float representations where not needed.
May 2025 monthly summary for getsentry/snuba focusing on stability, reliability, and observability improvements in the ClickHouse strategy. Key changes reduce upgrade risk and noise while preserving performance.
May 2025 monthly summary for getsentry/snuba focusing on stability, reliability, and observability improvements in the ClickHouse strategy. Key changes reduce upgrade risk and noise while preserving performance.
April 2025: Delivered core features and reliability improvements across getsentry/snuba and getsentry/arroyo, with a focus on business value: compatibility, observability, and deployment reliability. Key outcomes include upgrade to ClickHouse 24.8.14.10459, runtime config for testing, new receiver sleep metrics and write timeout, CI pipeline error filtering by environment, and back-pressure metrics for concurrency. These changes reduce ingestion delays, improve incident detection, and speed up safe deployments.
April 2025: Delivered core features and reliability improvements across getsentry/snuba and getsentry/arroyo, with a focus on business value: compatibility, observability, and deployment reliability. Key outcomes include upgrade to ClickHouse 24.8.14.10459, runtime config for testing, new receiver sleep metrics and write timeout, CI pipeline error filtering by environment, and back-pressure metrics for concurrency. These changes reduce ingestion delays, improve incident detection, and speed up safe deployments.
In March 2025, Getsentry/snuba delivered migration reliability and tooling improvements that strengthen data lifecycle and reduce maintenance effort. We stabilized CDC-driven migrations by reassigning CDC storage to the EVENTS storage set, enabling automatic removal of obsolete tables and hardening handling of missing nodes; and we cleaned up migration tooling by removing the obsolete add-node workflow and standardizing replica setup with the copy_tables.py script. These changes improve data integrity, deployment velocity, and operator experience while lowering ongoing maintenance cost.
In March 2025, Getsentry/snuba delivered migration reliability and tooling improvements that strengthen data lifecycle and reduce maintenance effort. We stabilized CDC-driven migrations by reassigning CDC storage to the EVENTS storage set, enabling automatic removal of obsolete tables and hardening handling of missing nodes; and we cleaned up migration tooling by removing the obsolete add-node workflow and standardizing replica setup with the copy_tables.py script. These changes improve data integrity, deployment velocity, and operator experience while lowering ongoing maintenance cost.
December 2024 Monthly Summary for getsentry/snuba. This period focused on delivering policy safety, improving reliability under concurrent allocations, and enhancing observability and admin tooling, while keeping documentation aligned with runtime support. Key outcomes include implementation of rate-limiter enforcement for delete allocation policies with a substantial increase in permissible deletions, fixing a core allocation policy error in multi-tenant environments, expanding admin capabilities with system queries for mutations and distributed DDL, and updating release documentation to reflect supported ClickHouse versions. Overall, these changes reduce operational risk during large-scale deletions, improve the reliability of concurrent allocation policies, and empower administrators with better visibility and control over long-running system processes. The work reinforces a data governance posture and positions Snuba to handle larger-scale data lifecycle operations more safely and transparently.
December 2024 Monthly Summary for getsentry/snuba. This period focused on delivering policy safety, improving reliability under concurrent allocations, and enhancing observability and admin tooling, while keeping documentation aligned with runtime support. Key outcomes include implementation of rate-limiter enforcement for delete allocation policies with a substantial increase in permissible deletions, fixing a core allocation policy error in multi-tenant environments, expanding admin capabilities with system queries for mutations and distributed DDL, and updating release documentation to reflect supported ClickHouse versions. Overall, these changes reduce operational risk during large-scale deletions, improve the reliability of concurrent allocation policies, and empower administrators with better visibility and control over long-running system processes. The work reinforces a data governance posture and positions Snuba to handle larger-scale data lifecycle operations more safely and transparently.
November 2024 monthly summary: Strengthened deletion workflows, improved deployment safety, and enabled adaptive batch processing across two core repos. In snuba, delivered bulk delete capabilities for search_issues with a dedicated consumer, rollout toggle, and deployment scaffolding, laying groundwork to unify deletion processing. Standardized deletion topic naming and enabled safer lightweight deletions rollout, while aligning CI/config for ClickHouse 24.3 compatibility to reduce upgrade risk. Also addressed stability in the deletion/tracing path with targeted fixes. In Arroyo, introduced dynamic batch sizing via compute_batch_size for BatchStep and Reduce to improve throughput based on message content. These efforts collectively reduce manual intervention, increase data correctness, and enable faster, safer data lifecycle operations across the platform.
November 2024 monthly summary: Strengthened deletion workflows, improved deployment safety, and enabled adaptive batch processing across two core repos. In snuba, delivered bulk delete capabilities for search_issues with a dedicated consumer, rollout toggle, and deployment scaffolding, laying groundwork to unify deletion processing. Standardized deletion topic naming and enabled safer lightweight deletions rollout, while aligning CI/config for ClickHouse 24.3 compatibility to reduce upgrade risk. Also addressed stability in the deletion/tracing path with targeted fixes. In Arroyo, introduced dynamic batch sizing via compute_batch_size for BatchStep and Reduce to improve throughput based on message content. These efforts collectively reduce manual intervention, increase data correctness, and enable faster, safer data lifecycle operations across the platform.
Monthly summary for 2024-10 (getsentry/snuba). Key features delivered include the Bulk Delete Batching Pipeline, which introduces a new API endpoint to publish delete requests to Kafka and a batch-processing pipeline that consumes delete queries from a topic to reduce concurrent write pressure on ClickHouse. A routine Dependency Management Update bumped sentry-kafka-schemas to 0.1.115 and updated socket2 in Cargo.lock, with no user-facing changes. Overall impact centers on improved scalability and reliability for bulk-delete workloads through asynchronous, batched processing, along with validated builds via dependency updates. Technologies demonstrated include Kafka-based event streaming, batch processing pipelines, API design, and Rust/Cargo maintenance.
Monthly summary for 2024-10 (getsentry/snuba). Key features delivered include the Bulk Delete Batching Pipeline, which introduces a new API endpoint to publish delete requests to Kafka and a batch-processing pipeline that consumes delete queries from a topic to reduce concurrent write pressure on ClickHouse. A routine Dependency Management Update bumped sentry-kafka-schemas to 0.1.115 and updated socket2 in Cargo.lock, with no user-facing changes. Overall impact centers on improved scalability and reliability for bulk-delete workloads through asynchronous, batched processing, along with validated builds via dependency updates. Technologies demonstrated include Kafka-based event streaming, batch processing pipelines, API design, and Rust/Cargo maintenance.

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