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Deep, recent reads ranked by depth and freshness.

Databases Distributed Systems Testing Microservices Clear all

01Cloudflare · architecture
Origin Range Requests: Serving large files without range-request tuning
Cloudflare replaced a legacy, fixed-size range caching design that suffered from bandwidth waste and memory pressure with a Pingora-based chunk coordinator. The new implementation dynamically combines cached chunks and aligned origin fetches to serve range requests accurately without manual tuning. This approach cut p99 time to first byte in half for R2 storage and reduced tiered cache traffic by six percent.
DEPTH ■■■■■8 min read3 days ago
Databases Performance Redis
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02The Pragmatic Engineer · architecture
The Pulse: Anthropic builds its own source control system
Anthropic experienced a massive increase in code merges due to the heavy use of AI coding agents, which quickly overwhelmed standard Git scaling limits and CI checkouts. To solve this, a small engineering team built a custom centralized version control system called Scion backed by Google Spanner and Cloud Storage, along with a code review tool called Antique. This move successfully migrated the entire monorepo off Git and eliminated bottlenecks, though the architecture drew controversy over similarities to Meta's Mononoke.
DEPTH ■■■■■12 min read4 days ago
Architecture Distributed Systems
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03GitHub · architecture
From 2,500 requests to 24: Rebuilding star history without the stargazers
GitHub faced abuse and performance issues because tools were scraping user identities to reconstruct repository star history. The engineering team collaborated with maintainers to build a purpose-built aggregate endpoint that returns daily star counts without identities and filters by time before aggregation. This reduced request volume from thousands to a few dozen and eliminated heavy database scans.
DEPTH ■■■■■8 min read12 days ago
Microservices
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04Zalando · postmortem
Thundering herd of circuit breakers
An engineering team investigated why a client-side circuit breaker repeatedly failed to close on its own after an outage. By exporting OpenTelemetry traces into a custom visualization tool, they discovered that low probe traffic caused the autoscaler to scale down the service to minimum capacity, triggering a thundering herd of requests and immediate timeouts the moment the circuit breaker closed. Adjusting the system to account for capacity and probe representativeness prevents this oscillation.
DEPTH ■■■■■10 min read2 weeks ago
Microservices Observability Reliability
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05Cloudflare · architecture
Under the hood, off the hot path: How D1 scales to millions of databases
Cloudflare scaled its serverless SQLite database, D1, to support millions of databases by decoupling the control plane from the data plane. The team used distributed metadata caching via Workers KV, optimized database connections through Hyperdrive, and implemented a self-correcting heartbeat mechanism. This architecture prevents centralized bottlenecks and allows D1 to handle rapid on-demand database creation efficiently.
DEPTH ■■■■■22 min read13 days ago
Databases
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06Stack Overflow · practice
The Regression Tests Nobody Writes: Capturing How Software Actually Behaves
Standard regression tests usually only verify developer intent rather than the actual, unwritten behaviors that systems accumulate in production over time. By capturing real production traffic and network-level interactions, teams can build characterization test suites to automatically detect unintended behavioral shifts. This approach prevents accidental regressions during legacy refactoring, rewrites, and major framework upgrades.
DEPTH ■■■■■6 min read4 days ago
Testing
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07Stack Overflow · practice
Your next job doesn’t have a title yet: Emerging role skills Q&A with Cory Hymel of Andela
Researchers analyzed thousands of job postings to understand how artificial intelligence is changing technical skill requirements. The findings indicate that instead of creating a workforce of pure generalists, the market is developing distinct new specialized skill bundles and hybrid roles. Consequently, organizations are facing talent debt as the half-life of technical skills rapidly shrinks.
DEPTH ■■■■■15 min read12 days ago
Testing
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08Grab · architecture
Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs
Grab addressed runtime data reliability issues in its data mesh by implementing automated Data Production Issues (DPIs). The system uses an incident orchestrator to detect contract breaches, a Data Health API for cross-platform root cause analysis, and Hugo for automated remediation. This approach resolved 86.9 percent of incidents automatically and made mean time to resolve six times faster.
DEPTH ■■■■■12 min read8 weeks ago
Databases Observability
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