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Deep, recent reads ranked by depth and freshness.

  1. Shard design doesn't start from your tables

    Designing a sharded Postgres architecture requires grouping tables around shared query keys rather than starting from table structures alone. The post details how to configure shard groups, reference tables, SQL expressions in shard indexes, and global secondary indexes using Neki. This setup enables efficient single-shard queries and transactions while maintaining full Postgres semantics.

    DEPTH ■■■■■8 min read2 days ago

    PostgreSQL

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  2. I don't trust ON DELETE CASCADE

    Postgres ON DELETE CASCADE can cause production outages, replication failures, and performance degradation during large deletions or schema migrations due to long-running transactions holding locks and generating massive WAL. The author recommends using soft deletes with batched background cleanup instead to keep transactions short and bounded. This approach avoids table locks and simplifies data recovery.

    DEPTH ■■■■■5 min read4 days ago

    PostgreSQL

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  3. Sentry JavaScript SDK v11 adds tracing for all JS platforms

    Sentry replaced its OpenTelemetry-based JavaScript SDK instrumentation with a source-code transformation approach using diagnostics channels in version 11. This change removes reliance on Node-specific module loader hooks, enabling reliable tracing across non-Node runtimes like Deno, Bun, and Cloudflare Workers, while also supporting bundled applications. The result is a simplified architecture that reduces bundle weight and fixes previous limitations with load order and immutable exports.

    DEPTH ■■■■■13 min read2 weeks ago

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  4. Reducing Android scope-sync overhead in Sentry Flutter

    The Sentry Flutter team investigated scope-sync overhead on Android and found redundant data normalization across isolates alongside unnecessary buffer copies during JSON encoding. By removing the duplicate normalization and encoding directly to UTF-8 bytes, the team reduced processing time by 27 to 30 percent across benchmarked payloads.

    DEPTH ■■■■■4 min read2 weeks ago

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  5. What gets TOASTed in Postgres

    This post examines how PostgreSQL uses TOAST to manage oversized rows and variable-length columns through compression and off-row storage. It compares the pglz and LZ4 compression algorithms across different workloads, highlighting trade-offs in search windows, file sizes, and CPU overhead. The analysis demonstrates how these mechanisms impact storage efficiency and read performance for large text and JSON data.

    DEPTH ■■■■■12 min read13 days ago

    PostgreSQL

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  6. The Sentry Android SDK is now 20-30% faster!

    The Sentry team optimized the Android SDK to reduce initialization time by 20-30% and background CPU usage by up to 10%. Improvements were achieved by profiling with Perfetto, replacing slow runtime manifest parsing and DSN parsing with build-time bytecode writing and lightweight parsers, and reusing thread pools. Upgrading to the latest SDK version allows applications to realize these startup performance gains.

    DEPTH ■■■■■4 min read5 days ago

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  7. TIN v1.0.6: 2-3x faster, with support for stemming

    Following competitive benchmarks that highlighted opportunities for optimization, the developers of the TIN full-text search index for Postgres released versions 1.0.4 and 1.0.6. These updates added Snowball stemming for 18 languages, optimized top-k sorting queries with deterministic tiebreakers, and improved overall query performance. As a result, benchmark tests show that TIN outperforms competing extensions across conjunction, disjunction, and phrase query workloads.

    DEPTH ■■■■■8 min read2 weeks ago

    PostgreSQL

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  8. Safer for Teens, Same Discord for Adults

    Discord developed a privacy-preserving age assurance and estimation system to comply with expanding global regulations while keeping adult experiences unchanged. By analyzing account metadata and patterns rather than private messages, the system automatically classifies over 90 percent of users into age groups. Users can also verify their status through alternative methods like credit cards or platform app stores if automated classification is incorrect.

    DEPTH ■■■■■18 min read4 weeks ago

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  9. Building a faster, lazier router for Postgres

    To reduce overhead when routing queries across PostgreSQL shards, the Neki router avoids unnecessary parsing and decodes responses lazily. By keeping data in its original wire format and only decoding columns when strictly required for operations like limits or sorting, the router significantly improves performance.

    DEPTH ■■■■■16 min read3 weeks ago

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  10. Unreal MCP now speaks Sentry

    The Sentry team integrated their crash reporting plugin with Unreal Engine's new experimental Model Context Protocol (MCP) server, allowing coding agents to fully automate setup and debugging. By combining editor tools and Sentry MCP, an agent successfully configured the SDK, uploaded debug symbols, packaged a build, induced a crash, and traced the root cause without manual file editing. The integration streamlines crash reporting setup, though it currently suffers from occasional agent tool-discovery issues and server fragility across editor restarts.

    DEPTH ■■■■■7 min read2 weeks ago

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  11. Sequences and other volatiles in Neki

    Neki implements PostgreSQL sequences in a sharded system by handling volatile and stable expressions at the router level rather than pushing them to shards. Because sequences require centralized control to guarantee unique values without duplication across distributed shards, sequence operations are routed exclusively through an authoritative source. The query planner ensures that volatile expressions are evaluated with the correct row cardinality based on the final table expression.

    DEPTH ■■■■■14 min read11 days ago

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  12. Should you use a log or a metric?

    This post explains the distinction between logs and metrics in application monitoring, noting that logs capture what was true during specific events for debugging while metrics track ongoing numerical trends over time. The author demonstrates how to implement both using Sentry SDKs during a user signup flow and outlines criteria for choosing between them. The resulting takeaway helps engineers decide whether to log an event or track it as a metric based on the questions they need to answer.

    DEPTH ■■■■■12 min read3 days ago

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  13. PlanetScale is now available on Azure

    PlanetScale expanded its database offering to Microsoft Azure by adapting its Kubernetes-based infrastructure to handle Azure's networking constraints. The engineering team overcame Azure's private IP limits and slow pod startup times by implementing block-based IP allocation via a custom CNI plugin. This approach successfully increased IP capacity and removed the Kubernetes API server from the critical path during pod initialization.

    DEPTH ■■■■■3 min read12 days ago

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  14. Discord Update: September 25, 2026

    Discord released product updates including system-wide echo cancellation for Windows clients, along with various UI and feature changes. The engineering team also upgraded the React Native version for mobile and Electron for desktop, yielding measurable CPU and launch performance improvements. These updates aim to improve resource efficiency and overall application usability.

    DEPTH ■■■■■4 min read4 weeks ago

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  15. How Etsy gets its mobile apps ready for peak traffic

    Etsy prepares its mobile apps for peak holiday traffic through advance planning, operational guardrails, and risk management rather than relying on capacity scaling or the ability to quickly revert binaries. The engineering team utilizes a phased code slush, dual crash reporting, remote feature flags, and custom error tagging to surface and mitigate issues effectively under heavy loads. By connecting crash rates to business metrics and automating manual triage workflows incrementally, the organization maintains high visibility and reliability when updates cannot be instantly rolled back.

    DEPTH ■■■■■11 min read3 weeks ago

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  16. Application Metrics caught my broken size estimator

    An engineer integrated application metrics into a client-side video conversion tool to monitor file size estimation accuracy without using invasive telemetry. By tracking key performance indicators and analyzing the metric distributions, they discovered that an AI-generated estimation formula was flawed and producing results off by up to 83 percent. Replacing the broken logic with a correct bitrate-based formula brought the size estimation accuracy to within five percent of real-world results.

    DEPTH ■■■■■15 min read7 weeks ago

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  17. Seer, the Sentry MCP and CLI, or your own coding agent: where each one fits

    Engineers often struggle to choose between native debugging agents, Model Context Protocols, and command-line tools when integrating error tracking into their workflows. Sentry demonstrates how its debugging assistant Seer, the Sentry MCP, the Sentry CLI, and various coding agent integrations complement each other rather than compete. The resulting setup allows teams to diagnose complex application errors and automatically generate pull requests through whichever surface they prefer.

    DEPTH ■■■■■11 min read3 weeks ago

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  18. Handling hot shards

    Growing applications often encounter hot shards when certain tenants or data subsets outgrow initial sharding strategies based on workspace IDs. To mitigate this, teams can scale up resources, isolate large tenants into specific key ranges, or fundamentally change the shard key for problematic tables based on access patterns. Neki facilitates these adjustments by allowing declarative data topologies and online resharding without downtime.

    DEPTH ■■■■■7 min read3 weeks ago

    MySQLPostgreSQL

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  19. Measuring the back/forward cache with Application Metrics

    Engineering teams often lack visibility into back/forward cache performance because successful cache hits leave no telemetry traces and browser heuristics frequently change. To solve this blind spot, the team introduced an opt-in application metrics integration in their JavaScript SDK that models browser bfcache signals into hits, specific miss reasons, and reload durations. As a result, developers can track, query, and fix silent navigation regressions using customizable dashboards.

    DEPTH ■■■■■6 min read4 weeks ago

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  20. Building Sentry's Laravel AI Integration

    The Sentry team built a Laravel AI integration to support Agent Tracing during an internal hackweek. Because Laravel AI lacked events for individual LLM invocations, the integration correlates outgoing HTTP requests with active invocations using provider URL prefixes. The resulting zero-config feature is available in sentry-laravel 4.27 and automatically traces agents, LLM requests, and tool calls.

    DEPTH ■■■■■4 min read4 weeks ago

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