Application performance monitoring systems tend to be available in two modes: on-premise and cloud-based SaaS. Which is the “right” choice? Well, it depends on your situation, but overall cloud-based SaaS offerings have significant benefits when compared to on-premise. However, it’s not always so simple. The right selection depends on the facts on the ground.

Why do we go for server health checkups? Well, think of it like this: just as we schedule regular checkups for ourselves to make sure we're healthy and functioning optimally, our servers need the same level of care. After all, they're the backbone of our digital infrastructure, tirelessly handling requests, serving data, and keeping our applications running smoothly.

If I were to ask you what marine biologists and database engineers have in common, you’d think it was the beginning of a nerdy joke. There probably is one in there somewhere but, as someone that has sat on both sides of the fence – or operated on both sides of the water’s surface to continue the analogy – I can say with certainty that the parallels are more common than coral on the Great Barrier Reef.

OpenTelemetry is a popular open source project to instrument, generate, collect, and export telemetry data, including metrics, logs, and traces. OTel, however, does not provide a monitoring backend — and this is exactly where the Grafana stack comes in. Here at Grafana Labs, we’re fully committed to the OpenTelemetry project and community.

Kentik NMS collects valuable network data and then transforms it into usable information — information you can use to drive action.

Observing Edge & WAF solutions is challenging. There are a host of unique problems to overcome, including security complexities and traffic intent identification. Let’s explore the complexities of observing edge data and how Coralogix’s revolutionary features take an entirely new approach to edge observability.

Hello, Mattermost community! We’re thrilled to announce the release of the Mattermost AI Copilot beta, a groundbreaking addition to the Mattermost platform. This plugin is not just a tool. It’s a way for organizations to deploy artificial intelligence in mission-critical environments — a true game-changer. With that in mind, let’s explore how this plugin will establish new standards in workplace collaboration for Mattermost Enterprise customers.

ITOps and DevOps teams face many challenges. Their responsibilities are extensive, from navigating complex IT environments at scale to quickly addressing performance issues and minimizing downtime and outages. Enhancing your organization’s IT service assurance requires you to ensure the reliability, performance, and availability of IT services.

Around the world, organizations of all sizes rely on Microsoft Azure to bring modern services online—and deliver innovation at scale. Azure provides the flexibility to roll out cloud-based applications at breakneck speed. But running these applications and services in Azure can add complexity for already overworked IT teams, tasked with boosting performance and reducing costs in ever-evolving cloud environments.

It’s easy to pitch technology buying decisions as black or white, where one camp is the promised land and the other is a dystopian wasteland where companies and profits go to die. But that doesn’t match reality. Instead, organizations need to balance technical trade-offs with their needs. So, while it’s easy to stand atop the “rip and replace” mountain and shout the virtues of your new technology, that’s not something that most organizations are willing to do.