Operations | Monitoring | ITSM | DevOps | Cloud

AI can be a transformative tool in network operations — but only when it’s tied to clear, measurable outcomes. Rather than chasing hype, IT and NetOps teams should focus on solving specific operational challenges like reducing MTTR, cutting costs, and stabilizing infrastructure. AI has real potential when strategically applied, and when aligned with business goals, it becomes a powerful ally in modern network operations.

Engineering teams constantly balance the need for speed and standardization, but achieving both goals at the same time often feels impossible. Developers’ dependence on platform engineers for support with infrastructure and tooling can create bottlenecks for routine operational tasks such as provisioning environments, troubleshooting incidents, and managing deployments.

We’re excited to share that Honeycomb has completed our first-ever acquisition: we’re joining forces with Grit, bringing on board not only a strong team, but also compelling technology that supercharges our ability to deliver on our mission: to bring observability to every software engineer. This is a strategic move that will help us deepen the value we deliver to customers and accelerate our vision for what modern observability can and should be.

Intellyx BrainBlog by Jason English for Mezmo ‍ “Bubble bubble, toil and trouble” describes the mysterious process of mixing together log data and metrics from multiple sources as they enter an observability data pipeline. ‍ Customers demand high performance, functionality-rich digital experiences with near-instantaneous response times.

In recent years, we’ve seen many organizations migrate from legacy incident response tools to Grafana Cloud IRM — our unified incident response and on-call management application hosted on Grafana Cloud — as they look to improve reliability, reduce costs, and consolidate their tooling. To help guide those efforts, we offer several IRM migration tools that allow you to more seamlessly migrate away from those legacy solutions and start using Grafana Cloud IRM.

It started with promise: deploy a chatbot, cut service desk costs, and deliver instant support to employees anytime, anywhere. And many large organizations bought in. But several years into this so-called “chatbot revolution,” the results tell a different story—one of inflated expectations and underwhelming outcomes. It’s time to face a hard truth: AI that only talks is no longer enough.

Monitoring applications shouldn’t be a guessing game. But too often, DevOps engineers end up buried under a pile of metrics that don’t help when things go wrong. That’s where Prometheus APM comes in. It offers a straightforward way to make sense of your systems—especially when you're working with modern, distributed setups like microservices.

When architecting high-performance infrastructure capable of handling substantial traffic loads, the choice of load balancer is a critical decision that can significantly impact system reliability, performance, and cost-efficiency. Among the leading contenders, HAProxy and NGINX stand out as mature, battle-tested solutions with distinct strengths and characteristics.

If you run IT operations for a managed service provider (MSP), you know you’ve got to work with a lot of different customers, each of whom presents a unique set of challenges to your ability to deliver the services that you offer. These customers expect flawless service delivery—and often, you’re asked to deliver that despite the limitations of your own IT infrastructure. But don’t fret.