A developer's monthly digest covering books on Go, TypeScript, and Prometheus, plus articles on AI, work culture, and teaching observability.
Brendan Gregg's SREcon22 APAC keynote on the future of computing performance, covering new developments and predictions.
![Ultimate Guide: NestJS Tracing with Open Telemetry [Updated 2022]](https://alldevblogs.blob.core.windows.net/thumbs/article-781b039e77b2-full-305c7e7b.webp)
A tutorial on implementing distributed tracing in NestJS applications using the Open Telemetry framework for observability.
A developer discusses key considerations for releasing new features in a B2B SaaS environment, including logs, feature flags, and observability.
A case study on implementing a custom microservice (Chronos) to measure end-to-end latency in a microservice architecture.
The article discusses the shift from traditional debugging methods like printf to modern observability tools and structured event systems for distributed applications.
Learn how to use OpenTelemetry to monitor, identify, and fix common database performance issues in a .NET application.
Using OpenTelemetry to identify and manage database dependencies in microservices architectures.
A critique of traditional metrics for observability, arguing they are limited for debugging unknown issues but still valuable for system health monitoring.
A guide to advanced OpenTelemetry tracing configuration for ASP.NET Core applications, moving beyond basic setup to optimize performance and data collection.
A developer's experience and commentary on integrating OpenTelemetry for tracing and observability within Python Flask functions on OpenFaaS.
A discussion of common pitfalls in measuring tail latency metrics in distributed systems, using examples from Twitter's infrastructure.
Discusses the appropriate cost for an observability stack, suggesting a rule of thumb of 20-30% of infrastructure spend.
A critique of static dashboards for debugging, arguing they encourage pattern-matching over systematic problem-solving in software engineering.
Explains why Prometheus is fundamentally a monitoring system, not just a time-series database, and clarifies its design and query behavior.
A guide to learning PromQL by setting up a controlled Prometheus playground environment to test queries and understand core concepts.
Introducing pq, a Rust-based tool for parsing and querying log files as time series data with PromQL-like syntax.
A visual guide to understanding PromQL vector matching rules in Prometheus, covering one-to-one, one-to-many, and many-to-one operations.
A guide to using Kubernetes Metrics Server for resource monitoring and autoscaling, with practical deployment and verification steps.
Explores the need for and methods of correlating different observability signals like metrics, logs, and traces for effective system monitoring.
