Operations | Monitoring | ITSM | DevOps | Cloud

When a service slows down, metrics will tell you that it’s happening but logs tell you why. For MySQL, slow queries can be a silent performance killer, gradually chewing through resources until users start complaining. By enabling MySQL’s slow query log and forwarding it to Loki (via Promtail), you can visualize query-level details right alongside your metrics on Grafana dashboards. This makes it easy to correlate what is slow (metrics) with what is causing the slowdown (logs).

In a modern DevOps environment, having just metrics or just logs is like trying to navigate with half a map because you’re missing important context that makes decisions faster and smarter. Metrics tell you what is happening (CPU spikes, request rates, failed logins) but logs tell you why it’s happening, with the timestamps to prove it.

Security threats aren’t always loud and don’t always crash systems or trigger alarms. Sometimes they creep in quietly as a steady stream of unauthorized login attempts, slow brute-force probes, or unknown IPs scanning your server for vulnerabilities. These behaviors often show up in logs before they surface in metrics but if you're only watching logs or only tracking metrics, you're missing part of the story.

Librato (a SolarWinds product) is being sunsetted summer of 2025, and that directly affects Heroku teams who’ve relied on the Librato add-on for “good enough” visibility into dynos, routers, and Postgres. If you’re in that group, you’ll need a replacement monitoring add-on that keeps you covered on Heroku and lets you grow beyond it without re-architecting how you ship metrics.

As modern infrastructure grows more dynamic and distributed, collecting logs alongside metrics becomes a critical part of any observability strategy. To make this easy and powerful, MetricFire now supports a direct logging pipeline using Grafana Loki. This allows you to forward system logs from your servers to Hosted Graphite's Loki backend and visualize them in your Hosted Grafana dashboards with full control over queries, filtering, and alerting.

MinIO is a high-performance, S3-compatible object storage server built for cloud-native applications. It’s open-source, lightweight, and incredibly fast which makes it a solution for developers who need to store and serve unstructured data like images, logs, or backups. Whether you’re building a self-hosted alternative to Amazon S3 or running MinIO as part of a local development pipeline, it fits into modern containerized environments.

Podman is a modern, open-source container engine developed by Red Hat that serves as a powerful alternative to Docker. It's designed with security, composability, and simplicity in mind. Here’s why it stands out.

Once upon a time in the world of metrics, Wavefront was a pioneer. Before Prometheus took over and tools like OpenTelemetry unified tracing and metrics, Wavefront brought something novel to the table: human-readable metrics with real-time querying and tag-based dimensionality. In enterprise environments running VMware or early microservices, it offered a scalable way to understand a system's behavior. But as the telemetry landscape evolved, many systems that spoke Wavefront were left behind.

In today's fast-paced digital landscape, ensuring the reliability and performance of your applications is paramount. Heroku, a cloud-based Platform-as-a-Service (PaaS), simplifies application deployment and scaling. However, to fully leverage Heroku's capabilities, effective monitoring is essential. This guide delves into best practices for monitoring Heroku applications, providing context, practical steps, and unique insights to enhance your observability strategy.

Apache Flink is an open-source, distributed stream processing engine built for real-time, high-throughput data pipelines. It excels at processing continuous data streams with low latency, making it a great fit for use cases like fraud detection, log analytics, real-time dashboards, personalized recommendations, and IoT telemetry.