Telemetry - Tag - IT Guy Journals

How Telemetry Systems Evolve with Infrastructure: Example Architectures from Startup to Enterprise

Luka Krapić — Sun, 20 Jul 2025 13:44:59 +0200

In our previous post, we introduced the fundamentals of telemetry—covering logs, metrics, traces, and security monitoring. In this follow-up, we’re shifting from theory to practice: what do telemetry stacks actually look like in real-world environments?

The answer depends heavily on infrastructure. In reality, infrastructure decisions come first, and the telemetry stack adapts to support what’s already in place—not the other way around. Observability evolves as a response to growing scale, complexity, and operational maturity.

Structured Logging in Python

Luka Krapić — Sat, 21 Jun 2025 17:50:06 +0200

In modern DevOps workflows, observability plays an important role. Operating distributed systems often depends on telemetry data, including metrics, traces, and logs. Logs are frequently a detailed source of information during troubleshooting. Traditional unstructured log messages, written as free-form text, can make it difficult to extract useful information automatically.

Structured logging organizes log data into a consistent, machine-readable format. For a primer on telemetry systems and observability fundamentals, see the blog post Introduction to Telemetry Systems.

Introduction to Telemetry Systems: The Backbone of Observability

Luka Krapić — Sat, 31 May 2025 12:31:42 +0200

Modern software systems are complex, distributed, and constantly evolving. Whether you’re deploying microservices in Kubernetes or managing legacy systems in the cloud, one truth holds: you need visibility. That’s where telemetry systems come in. They provide the data and structure needed to observe, understand, and operate IT systems with confidence.

In this post, we’ll explore the fundamentals of telemetry systems, how they work, the types of data they handle, and why they’re indispensable for achieving observability.