Operations | Monitoring | ITSM | DevOps | Cloud

Managing 50 client networks means 50 separate monitoring instances, 50 sets of credentials, and 50 different dashboards to check daily. Every morning starts with logging into multiple platforms, context switching between interfaces, and hoping you didn't miss a critical alert buried somewhere. Traditional network monitoring tools weren't exactly built for MSPs. They're designed for single organizations monitoring their own infrastructure, which means every client you onboard adds exponential complexity.

Eliminate the “idle tax” to reclaim 40% of your cloud spend and secure CSRD compliance.

If you’ve ever tried to get a clean view of your company’s software stack, you know how this goes: one team buys a tool, another one adopts a different one for the same job, renewals keep piling up, and before you know it, you’re paying for apps no one can even name. The application portfolio grows in the background, until it becomes too expensive and too messy to ignore.

Over the last few years, we’ve helped hundreds of organizations build and organize their IT inventories, and design automations that make daily tasks easier. That level of maturity is essential, but sometimes it’s still not enough. The real shift happens when Asset Management evolves from reactive to proactive, and from information to decision-making. That’s where an intelligence-driven system makes the difference: it turns data into proactive decisions that deliver tangible results.

Picture a small B2B software company in the early 2010s. The company grew in the 2000s to a few thousand customers by offering on-prem software to small and medium businesses. Senior leaders had recently decided to offer their software over the web via servers rented from AWS.

Now, we will explore how this foundational strength translates into organizational maturity and lay out the durable operating habits required to bridge the gap between reactive firefighting and strategic performance engineering.

A note from Lauren Nagel, Mezmo's VP of Product: At Mezmo, we believe the best observability tools aren't just built for users, they're built with them. Since the launch of Mezmo's AI SRE agent, we've listened and learned from our customers. The feedback and insights have been invaluable in helping our teams refine and enhance the experience. Today, we're excited to share our latest release, packed with improvements and powerful new capabilities that make our AI SRE even faster and more intuitive.

Consolidation unifies your observability stack, readies it for AI, and paves the path to autonomous IT. Many IT leaders consider consolidation because of cost pressure or rising vendor spend. But the real challenge goes deeper. IT environments have become more complex, distributed, and noisy, making it difficult for fragmented tools to keep up.

Running Graylog on Kubernetes has been possible for a while, but let’s be honest: it usually involved a fair amount of DIY. Custom manifests, duct-taped values files, and more than one late-night kubectl describe pod. That changes today. We’re releasing the first-ever Graylog Helm chart for Kubernetes — now available in beta.

The Ingress NGINX Controller is approaching retirement, and teams need a clear path forward to manage Kubernetes ingress traffic securely and reliably. To make this transition easier, we’ve created a single, curated hub with all the relevant blogs and webinars. This hub serves as your one-stop resource for understanding the migration to Kubernetes Gateway API with Calico Ingress Gateway.