Operations | Monitoring | ITSM | DevOps | Cloud

Grafana is a popular choice for monitoring and visualizing metrics, but login issues can quickly block your access and slow you down. Forgot your password? Can’t get into the admin account? Problems after changing authentication settings? These are some of the most common hiccups—and they’re usually easy to fix. This guide covers the frequent login problems you might face and walks you through practical ways to resolve them.

Logs are essential, but managing them can be tedious. They quickly consume storage, slow down your searches, and make troubleshooting feel like an endless chore. Loki monitoring helps simplify this process, offering a more efficient approach to logging that developers can appreciate.

Debugging modern.NET apps isn’t as simple as scanning logs anymore. With services spread out and systems growing more complex, it's easy to miss the bigger picture. Serilog gives you clean, structured logs. OpenTelemetry brings in traces and metrics to connect the dots. This guide covers how to wire up Serilog with OpenTelemetry, send logs to traces, and build an observability setup that helps you troubleshoot, without digging through disconnected logs for hours.

When something breaks in production, logs are usually where you start. They help you figure out what happened, where, and why. But with microservices architecture, logging isn't simple anymore. In a traditional monolithic application, logs live in one place. With microservices, they're scattered across multiple services, containers, and sometimes even data centers. What used to be a simple grep command now feels like solving a mystery without most of the clues.

Both Grafana Tempo and Jaeger are distributed tracing tools designed for modern microservice architectures. Jaeger, released as an open-source project by Uber in 2015, has matured into a graduated CNCF project. Tempo, announced by Grafana Labs in October 2020, is a newer entrant focused on high-volume tracing with a unique storage architecture. Before comparing these tools in detail, let's quickly review what distributed tracing is and why it matters.

Effective Node.js monitoring requires tracking runtime metrics (memory, CPU), application metrics (request rates, response times), and business metrics (user actions, conversion rates). This guide covers what to track, how to collect it, and how to set up meaningful alerts.

Effective microservices logging requires standardized formats, centralized storage, correlation IDs, and strong security measures. This guide walks you through setup strategies, best practices, and tool recommendations that won't break your budget.

Your Java app slows down during peak load. A microservice crashes, but logs aren’t helpful. These aren’t rare events—they’re common signs something’s off inside the JVM. For Java developers and DevOps teams, JVM metrics offer clues to what’s going on. This blog covers the key metrics to track, what they tell you, and how to use them to troubleshoot performance issues in a practical, no-nonsense way.

Security logs are the quiet sentinels of your Linux systems, recording critical information that can mean the difference between detecting an intrusion and discovering a breach months too late. For most DevOps professionals and system administrators, these logs contain valuable insights that often go untapped. While they're essential for compliance, their real value lies in providing visibility into your system's security posture and operational health.

Troubleshooting failed cron jobs without proper logging can be frustrating. Ubuntu cron logs record the execution of scheduled tasks, helping you identify what's working and what isn't. This guide covers what engineers need to know about Ubuntu cron logs – from finding them to analyzing their contents and setting up effective monitoring solutions.