Webtagr - Technology News Summarizer

Go's New `slog`: A High-Performance Structured Logger for Observability

2025-09-12

Go 1.21 introduces `slog`, a native, high-performance, structured logging solution designed to be the new standard. Built around `Logger`, `Handler`, and `Record`, `slog` offers a flexible and efficient logging approach. The article details `slog` usage, covering log levels, context-aware logging, attribute handling, level control, and custom handler creation, emphasizing the use of `slog.Attr` to prevent malformed log entries. Performance considerations, OpenTelemetry integration for enhanced observability, and best practices like global loggers and dependency injection are also discussed. `slog` aims to transform logging from an afterthought to a crucial observability signal.

(www.dash0.com)

Development structured logging

Monitoring My Minecraft Server with OpenTelemetry and Dash0

2025-05-11

To enable multiplayer Minecraft mischief with the kids, I set up a Java Minecraft server on a Linux VM and implemented comprehensive monitoring using OpenTelemetry, a Prometheus exporter, and Dash0. The OpenTelemetry Java Agent monitors JVM health, a Minecraft Prometheus exporter collects game-specific metrics (player count, blocks mined, etc.), and the OpenTelemetry Collector aggregates and sends all data to Dash0. Dash0's PromQL queries and log monitoring allow me to track server status, such as downtime and JVM restarts, with Slack alerts. The process was a fun refresher on Java and Linux sysadmin skills. While the dashboard is simple, a stable server is the priority.

(www.dash0.com)

Game

Debugging React Server Components in Next.js with OpenTelemetry

2025-01-23

React Server Components (RSCs) offer performance benefits but introduce debugging challenges. This article demonstrates using OpenTelemetry, a powerful observability framework, to trace RSC activity within Next.js applications. OpenTelemetry allows tracing requests, collecting metrics, and aggregating logs, giving developers insights into server-side component execution, including lifecycle events, data fetching operations, and rendering performance. A real-world case study showcases optimizing a page loading numerous GitHub API calls using OpenTelemetry. The article details installing necessary packages, creating an instrumentation.js file, and configuring data export destinations. It also explains creating custom spans for more granular insights.

(www.dash0.com)

Development

Autoscaling Your Kubernetes Apps with Dash0: Beyond CPU and Memory

2025-01-11

This blog post demonstrates how to leverage Dash0 for automated scaling of Kubernetes applications. While Kubernetes simplifies scaling, manual replica adjustments are inefficient. Dash0 automates this process by monitoring application telemetry. The post explores three Kubernetes autoscaling types: Horizontal Pod Autoscaling, Vertical Pod Autoscaling, and Cluster Autoscaling, focusing on Horizontal Pod Autoscaling. It explains its mechanics and how to utilize custom metrics (like latency) instead of solely relying on CPU and memory utilization for optimal scaling strategies. Dash0 integrates with the Prometheus Adapter, enabling PromQL queries against Dash0 data to drive HPA, resulting in automated scaling based on application performance and improved user experience.

(www.dash0.com)

Development Autoscaling