Top 13 Application Performance Monitoring Tools
Discover 7 reliable APM tools that help you monitor performance, spot issues early, and keep your applications running without surprises.
Log Format Standards: JSON, XML, and Key-Value Explained
A practical look at common log format standards, how JSON, XML, and key-value logs work, and when to use each in production systems.
PostgreSQL Performance Tuning: Cut Query Latency 50-80%
Slow Postgres queries killing your app? Learn proven tuning techniques for indexes, VACUUM, connection pooling, and query optimization. Real fixes that cut latency 50-80%.
What are Application Metrics?
Application metrics are key performance signals, like latency, error rate, and throughput, that help you understand how your app behaves in production.
Jaeger Monitoring: Essential Metrics and Alerting for Production Tracing Systems
Monitor Jaeger in production with core metrics and alerting rules, track trace completion, queue depth, and storage performance at scale.
Why Your Loki Metrics Are Disappearing (And How to Fix It)
Diagnose missing Loki metrics by fixing recording rule gaps, remote write failures, and high-cardinality issues in production setups.
OTel Updates: Auto-Instrument Your Apps with the OTel Injector
Automatically instrument your apps on Linux with the OTel Injector, no code changes, minimal setup, and support for Java, Node.js, Python, and .NET.
OTel Updates: Weaver for Consistent Observability with Semantic Conventions
Achieve consistent, reliable observability with OTel Weaver, validate and standardize telemetry using semantic conventions at ingest.
OTel Updates: How Prometheus 3.0 Fixes Resource Attributes for OTel Metrics
Prometheus 3.0 supports resource attribute promotion for OpenTelemetry metrics, enabling direct labeling without `target_info` joins.