Open Source Tech
Graceful Shutdown in Go: Practical Patterns
Go applications can implement graceful shutdown by handling termination signals (SIGTERM, SIGINT) via os/signal or signal.NotifyContext. Shutdown must complete within a specified timeout (e.g., Kubernetes’ terminationGracePeriodSeconds)…
Prometheus Monitoring: Functions, Subqueries, Operators, and Modifiers
Prometheus querying involves multiple moving parts: functions, operators, modifiers, and subqueries. Small differences in how vectors are handled or rollups are applied can lead to completely different outcomes or errors. MetricsQL extends PromQL by handling these edge cases more gracefully with features like default rollups.
Don’t default to microservices: You’ll thank us later!
We believe microservices shouldn’t be the default and that companies should start with monoliths until reality actually demands they scale and shift from one node to a cluster of nodes. As a result, we offer clustering on an open source basis because we want to support realistic growth. Read on for details!
Container CPU Requests & Limits Explained with GOMAXPROCS Tuning
When running Go apps in Kubernetes, default CPU thread scheduling can conflict with cgroup CPU limits. The runtime sees all host CPUs, but the container may only be allowed a fraction of one. This often leads to early throttling. Properly configuring GOMAXPROCS avoids this waste and improves stability.
gRPC in Go: Streaming RPCs, Interceptors, and Metadata
Go’s gRPC implementation uses code generation to create type-safe client and server interfaces. Streaming RPCs allow sending multiple messages over a single connection, perfect for real-time updates and continuous data flows. Interceptors provide middleware-like functionality for authentication, logging, and error handling without modifying your core service logic.
Prometheus Alerting 101: Rules, Recording Rules, and Alertmanager
Recording rules can transform complex PromQL queries into pre-computed metrics, eliminating repeated calculation overhead. When organized in groups, these alerting and recording rules can be precisely scheduled to run at specific times like 01:30, 02:30, and even execute in parallel for maximum efficiency.
Inside vmselect: The Query Processing Engine of VictoriaMetrics
The article explains vmselect’s core functionalities: concurrent request processing, query parsing and validation, data fetching and merging from vmstorage nodes, and memory-efficient result caching.
Practical Protobuf - From Basic to Best Practices
Different Protobuf types dramatically impact your binary size—sint32 encoding needs just 1 byte for negative numbers while int32 wastes 10 bytes, repeated fields can balloon with large tag numbers, and poor type choices can triple your network traffic. Learn the exact patterns to optimize your Protobuf messages for production.
Prometheus Monitoring: Instant Queries and Range Queries Explained
When evaluating, instant vectors provide current snapshots, while range vectors give you multiple values over a period of time. But how do they work?
Prometheus Metrics Explained: Counters, Gauges, Histograms & Summaries
Metrics come in different types: counters that only increase, gauges that fluctuate, histograms that show value distributions, and summaries that pre-calculate statistics.