Operations | Monitoring | ITSM | DevOps | Cloud

In cybersecurity, defense-in-depth is a fundamental principle – you never rely on a single security measure to protect your systems. The same philosophy applies to application monitoring. No single monitoring approach, no matter how sophisticated, can capture every possible failure mode of your application. This is why layered monitoring isn't just a best practice – it's essential risk mitigation.

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.

This is the second post in a series examining the requirements necessary to achieve operational excellence. Did you miss the first post? You can find it here. Maintaining continuous uptime and resolving issues swiftly has never been more critical in the rapidly changing digital operations landscape. Automation must become the industry standard, yet the distinction between native process automation and reliance on external tools has a significant impact on operational efficiency and responsiveness.

I'm pleased to share that we've can now notify you via Google Chat. Here's what that looks like: Our Google Chat notifications include: You can read more on how to set up Google Chat notifications in our docs. Of course, we also offer numerous other channels to notify you when something is wrong with your site. I'm pleased to share that we've can now notify you via Google Chat.

Apache Kafka has become the go-to platform for organizations handling high-throughput, real-time data streaming. Its ability to manage massive data volumes while ensuring reliability is second to none. However, as businesses grow and demand for data increases, scaling Kafka isn’t always a walk in the park. It often comes with its own set of challenges that can throw even the most seasoned teams for a loop.

As power-hungry workloads like AI and HPC become the norm, data centers face mounting pressure to rethink their thermal strategies. Traditional air cooling has long been the industry standard, but with rising rack densities and energy costs, many operators are exploring liquid cooling as a more efficient alternative. In 2024, the global liquid cooling market was valued around $4.18 billion and is projected to reach $13.2 billion by 2029.