Operations | Monitoring | ITSM | DevOps | Cloud

Complex escalation policy? No problem. Alert Visualization shows exactly how your alert will route, before it ever fires.

As companies adopt more artificial intelligence (AI) to stay competitive and simplify operations, they’re hitting a snag they’ve seen plenty of times before: complexity. Those user-friendly chatbots and impressive predictive models aren’t magic—they run on powerful GPUs like NVIDIA’s and rely on cloud services such as Azure OpenAI or Amazon SageMaker.

Megaport Cloud Router's new feature is here to cut complexity and secure your network even faster. If you’re already a Megaport customer, Megaport Cloud Router (MCR) likely needs no introduction. This popular and long-standing solution allows customers to spin up routing capabilities on-demand within Megaport’s global Network as a Service (NaaS) platform and can be utilized across a variety of use cases.

Keeping tabs on your network has never been more important. Whether you’re running a small business or managing infrastructure across cloud environments, visibility into what’s happening behind the scenes is essential. But visibility alone isn’t enough…when something breaks, the IT engineer needs to know immediately, so they can take action and resolve critical issues.

Your Prometheus dashboard shows 847 CPU metrics. The alert fired—but is the problem in us-east or us-west? You're trying to rule out whether that new feature caused a latency spike, but the sheer number of time series isn’t helping. Grouping can make this manageable. By organizing metrics by shared label values, you can quickly spot which service or region is behaving differently, without digging through every metric.

In our previous blog, we talked about how LangChain and LangGraph help structure your agent’s behavior. But structure isn’t the same as visibility. This one’s about fixing that. Not with more logs. Not with generic dashboards. You need to see what your agent did, step by step, tool by tool, so you can understand how a simple query turned into a long, expensive run.

Remember when we thought deploying from our laptops was efficient? When FTPing files directly to production at 2 AM felt like peak productivity? We’ve been here before. As AI transforms how we write code, we’re about to learn the same lesson all over again — but this time with much bigger bills.

If you’ve ever deployed a cloud application and wondered why some workloads seem faster, more resilient, or more expensive than others, the answer often lies in how you’ve used availability zones. In this guide, we’ll break down how GCP availability zones work, why they matter, and how to use them strategically to balance availability, compliance, and Google Cloud costs.

The automation paradox: Why are so many enterprises drowning in the very technology meant to save them? For years, enterprise leaders have chased the promise of automation. Millions have been invested in tools like Robotic Process Automation (RPA), hoping to unlock a new era of efficiency. However, what was once considered the highest level of agility has become a maze of fragmented systems.

Today we are releasing oh-dear-api-examples a brand-new open-source repository on GitHub. It curates bite-size scripts, helpers and ideas for helping you bulk-manage your Oh Dear account via the API.