When managing Kafka clusters, health checks are essential—not just a luxury. They’re your frontline defense in maintaining stability and performance, helping you catch issues before they snowball. Let’s dive into effective ways to assess your Kafka cluster’s health, from tracking key metrics to taking proactive steps that keep your operations running smoothly.

Note: The data presented in this analysis is based on information we collected from January 2024 to October 2024 and may contain errors or omissions. This post has been updated to include the latest dataset. GitHub and its components are used by developers and businesses around the world to power everything from small projects to large-scale operations. This is why it's crucial to understand the platform's reliability as a core business enabler.

At incident.io, we run on a monolith. This brings a whole load of benefits that we don’t want to give up any time soon. We don’t have to worry about the speed of internal network requests, complex deployments, or optimizing work that touches multiple services. This blog post isn’t about the relative benefits of monoliths though (but we’ve written more about that here if you are interested)! Ownership in monoliths is tricky.

In previous discussions about Managed Security Service Providers (MSSPs), I’ve looked into the architectural benefits and product-level advantages of integrating Cribl. Today, let’s explore why Cribl isn’t just technically sound—it’s also a smart business decision that can help MSSPs like you manage and lower egress costs, creating a significant impact on the financial efficiency of your operations.

You may have heard of Scrum but aren’t sure what it is or how it benefits the business. Or perhaps you use it but others in your organization don’t understand it. As a certified Scrum master, I’d like to share a bit about how I’ve used Scrum to transform my work and my team’s working model to improve efficiency, among other things. I truly believe it can help you once you (or others in your organization) understand its purpose and how it’s meant to be applied.

In today’s digital economy, infrastructure has evolved from your organization’s technical foundation to a strategic asset that can make or break your business outcomes. Yet, as companies embrace hybrid environments, many find themselves struggling with a critical challenge: how to maintain control and visibility across increasingly complex infrastructure landscapes and AI workloads.

Have you ever been in the middle of an important video call, only for it to glitch or freeze out of nowhere? Or did an application suddenly slow down right when you needed it most? These frustrating moments can often be caused by something hidden in the background: packet bursts. But what exactly are packet bursts, and why do these sudden surges in data traffic catch you off guard when your network seems steady? Are they just random spikes in the data flow, or is there something deeper causing them?

The sheer volume of data and the need for fast, accurate troubleshooting can overwhelm even the most experienced network operations center (NOC) teams. Stress levels increase when response times lag — as do costs, customer frustration, and risks to revenue. AIOps can help. Deploy AIOps to automate data analysis and correlate alerts in real time, filter alerts to reduce noise, and pinpoint incident root cause faster than traditional methods.

Applications today are more portable and distributed than ever before. We’re witnessing businesses accelerate their migration to cloud-based infrastructure and software as a service (SaaS). Yet, amid this cloud adoption wave, a noticeable “cloud exit” trend is emerging as organizations seek an optimal balance between cloud and on-premises infrastructure.

When your system shows a "no healthy upstream" error, it usually means your load balancer can't connect to any of your backend servers. Let's get straight to fixing this problem.