Operations | Monitoring | ITSM | DevOps | Cloud

Developers lose hours each week to a familiar troubleshooting loop: chase down telemetry across dashboards, decipher vague errors, and juggle alerts to find the signal worth fixing. Production issues, performance regressions, and security vulnerabilities all demand attention, but they often come with little context for taking action.

This is the first post in a series examining the requirements necessary to achieve operational excellence. In today’s dynamic digital landscape, operational resilience is no longer optional; it’s essential. Organizations must proactively embrace solutions designed to meet tomorrow’s challenges, not just today’s demands. Everbridge xMatters emerges as the clear leader in this space, delivering unmatched automation, sophisticated intelligence, and exceptional adaptability.

In the fast-paced world of CI/CD, understanding the performance and behaviour of your pipelines is crucial. GitHub Actions has become a popular choice for automating builds and deployments, but anyone who's debugged a flaky workflow or long-running job knows how challenging it can be to get visibility into what's happening under the hood. We usually rely on build logs, timing data, or guesswork when something goes wrong.

Open-source package repositories like the Python Package Index (PyPI) play a crucial role in software development. However, these platforms are also potential targets for malicious actors attempting to exploit application software vulnerabilities. The JFrog Security Research team regularly monitors open source software repositories using advanced automated tools, in order to detect malicious packages.

Today’s IT environments span legacy infrastructure, multiple cloud platforms, and edge systems—each producing fragmented data, inconsistent signals, and hidden points of failure. This scale brings opportunity, but also operational strain: fragmented visibility, overwhelming alert noise, and slower time to resolution. With good reason, public and private sector organizations alike are moving beyond basic visibility, demanding hybrid observability that’s context-aware and action-oriented.

With the latest iteration of the GitKraken CLI, you can now connect to a local MCP server to deliver more functionality to your agent of choice. Whether you are using GitHub Copilot, Cursor, Windsurf, or any other tool, you can now leverage the power of GitKraken’s MCP server to enhance your workflows.

Colocation providers must efficiently allocate power to keep up with increasing computational demands while minimizing wastage. Over-provisioning can lead to inefficiencies, while under-provisioning risks downtime and dissatisfied tenants.

Discover what an IP calculator is and how it helps you plan subnets, IP ranges, and addresses within IT networks. Ideal for system administrators.

Opsgenie set a high bar. For years, it helped teams respond faster and stay on top of incidents with reliable alerting and on-call management. At FireHydrant, we’ve always admired how Opsgenie modeled incident data and structured its workflows — it was one of the best in the game. But as Atlassian sunsets Opsgenie and teams face the pressure to migrate, there’s a real decision to make: move into Jira Service Management, or find a new solution that fits your team’s needs and scale.

I’ve been building apps with SQL Server for years. Everything worked well until I started dealing with sensor data, stock trade volume, and IoT telemetry. As the volume of time-stamped records grew into the millions, I saw relational databases struggling with workloads they weren’t designed for. That’s when I explored time series databases. The performance improvements were significant, but what surprised me was the mental shift required.