Operations | Monitoring | ITSM | DevOps | Cloud

For years, businesses relied on a reactive IT management approach, also known as the break-fix model—only addressing problems after they occurred. This method often led to unpredictable downtime, rising costs, and a struggle to scale with growing business needs. Without proactive monitoring, issues could escalate, causing major disruptions.

From day one, we built Coroot to work beyond just Kubernetes. Many teams still run databases and other stateful services on dedicated VMs or bare-metal servers. But that’s starting to change. More and more teams no longer see Kubernetes as a platform just for stateless apps. Powerful Kubernetes operators now handle day-2 operations like failover, backups, and disaster recovery—making it easier than ever to run databases on Kubernetes. And the number of teams choosing this path keeps growing.

Server hardening is securing a server by reducing its surface of vulnerability. This means minimizing the number of potential entry points for attackers by disabling unnecessary services, applying patches, and enforcing strong security controls. If you use Kamal to deploy applications but you must harden your servers yourself. This is a guide on the steps to take to have a secure server. The Basics of Server Security: Patch often and restart often. Patching helps with fixing known vulnerabilities.

What differentiates the vendors between each other, when the feature stack is similar?

Searching through error data efficiently is critical for developers using monitoring tools. At Rollbar, we recently completed a significant overhaul of our Item Search backend. The previous system faced performance limitations and constraints on search capabilities. This post details the technical challenges, the architectural changes we implemented, and the resulting performance gains.

A while ago, your company chose a network monitoring tool that worked perfectly — back when most employees worked in the office, networks were centralized, applications ran on-premise, and "the cloud" was just a buzzword.

Recently we introduced support for Failure Strategies, which allows developers to implement more powerful logic and control flow into their workflows. Today, we are excited to announce a new step failure strategy, retry, which can auto-retry your failed steps without requiring any input from the user.

Public sector organizations today face unique challenges in maintaining and optimizing their IT infrastructure and prioritizing efficiency and interoperability. With a mix of modern cloud and legacy systems, ensuring consistent performance, reliability, and security is paramount. To effectively observe across these environments, government agencies need observability tools that are open, flexible, and scalable. OpenTelemetry (OTel) is fast becoming a pivotal part of that flexible toolset.

Cloud computing is all about efficiency. You need to get the most out of your resources without overspending or causing performance issues. For example, if you’re running virtual machines in Google Compute Engine, you need to size your instances correctly, optimize your workloads, and monitor your network traffic to prevent unexpected failures. However, when resources aren’t properly managed, things can quickly spiral out of control.

The Datadog Action Catalog provides more than 1,400 actions to help you accelerate remediation across your infrastructure directly within Datadog. With actions, you can use Workflow Automation to configure workflows that automatically address issues as they happen and build custom apps in App Builder that empower anyone in your organization to act when incidents occur.