Operations | Monitoring | ITSM | DevOps | Cloud

Atlassian recently dropped a bombshell: OpsGenie is shutting down. If you’re an OpsGenie user, this news probably hit hard. After investing time setting up your alerts, configuring oncall schedules, and training your team on OpsGenie, you’re now faced with finding and migrating to a new incident management solution. We understand the frustration and uncertainty you’re feeling right now. The reactions on Hacker News show you’re not alone in this challenge: Take a deep breath.

At incident.io, we've always focused on empowering your team to manage incidents calmly, confidently, and effectively. Today, we’re introducing a powerful new addition to our suite of AI incident responders — one designed to bring a new layer of strategic oversight to your engineering organization: Agentic CTO.

A common misconception surrounding IT automation is that it always requires in-depth technical expertise. That certainly helps, but it’s by no means a requirement anymore. There are a few developments powering this shift, but the advent of low-code automation tools is one of the most important.

Proper logging isn't just nice to have – it's your secret weapon when things go sideways. In this guide, we'll talk about everything you need to know about Java logging frameworks and logging libraries that help when you need it most.

Imagine spending weeks grinding through SQL tutorials, practicing syntax, and refining your queries in your spare time. But when the interviewer throws a complex JOIN + subquery at you, your brain suddenly hits a 404. It happens to the best of us. However, most candidates crash and burn—not because they lack knowledge, but because they prepare like students instead of engineers. They memorize syntax, pray for predictable questions, and freeze the moment they’re asked to think, not recite.

Without SQL aggregate functions, databases would be nothing more than glorified spreadsheets. These functions—SUM(), COUNT(), AVG(), MIN(), and MAX() —do the heavy lifting in analytics. They process massive datasets, transforming scattered records into clear, usable insights that drive decision-making. But while aggregation simplifies data, it can also slow things down.

Kubernetes autoscalers like Cluster Autoscaler (CAS) and Karpenter have evolved significantly to manage the sprawling Kubernetes ecosystem, which has grown far beyond a simple container orchestration platform to include a vast array of add-ons, operators, CRDs, and third-party integrations. These autoscalers play a crucial role in ensuring K8s workloads get the resources they need, precisely when they need them, without creating excess and waste.

Cloud migration is a rapidly growing market, projected to reach $1.3 trillion in 2025 (Gartner). Yet, 74% of migrations exceed budget and timeline expectations (IDC). Why? Because cloud migration isn’t just a technical shift—it’s a strategic business transformation requiring coordinated planning across applications, infrastructure, networks, and finances.