Operations | Monitoring | ITSM | DevOps | Cloud

The siren song of building a custom, internal cloud cost management platform is enticing. Many brilliant engineering teams are convinced they can come up with a bespoke solution that perfectly fits their needs. They look at their company’s unique infrastructure and decide they can DIY cost management without having to rely on an external vendor. Believe me, I get the temptation.

Every IT operator anywhere on the team ladder dreads this feeling: another day, another flood of service desk tickets. Like cockroaches, they come in waves and they’re repetitive. Worse still, they distract your teams from higher-value work. Ironically for the amount of disruption they can cause, most of these tickets are not complex incidents or novel challenges. They’re the same everyday IT headaches your enterprise has been dealing with for years.

On October 20, 2025, much of the internet came to a halt. Apps wouldn’t load. Payments failed. Cloud dashboards went dark. From Fortnite to Alexa, Snapchat, and countless business platforms, users across the world were suddenly offline — all because DNS broke inside Amazon Web Services’ (AWS) US-East-1 region.

Aiven for OpenSearch is a fully-managed service that provides an ideal way to run OpenSearch on Google Cloud. It is designed for companies looking to operate search applications without taking on the burden and complexity of self-managing the infrastructure in the cloud. Running on Google Cloud, the service is built upon core infrastructure like Google Compute Engine, Google Cloud Storage, and Private Service Connect.

Modern applications depend on dozens of external cloud platforms, APIs, and SaaS services to function. But when those providers experience issues, engineers often spend valuable time asking a basic question: Is the problem with us or with them? Provider-maintained status pages are often slow to update, leaving teams waiting for confirmation while incidents escalate. This delay wastes valuable time, prolongs investigations, and risks customer trust.

High-performance computing (HPC) environments support some of the most critical workloads in the world—from asset pricing models in financial institutions to molecular simulations in drug discovery. These workloads often span hundreds of thousands of cores, depend on specialized infrastructure such as GPUs, and run for extended periods. As a result, performance and efficiency are critical.

When external SaaS providers or cloud services degrade or go down, engineers often find themselves wondering if the issue they're encountering is local or more widespread. The answers they find are usually slow to surface, limited in detail, or entirely dependent on the provider's updates. Vendor-controlled status pages and third-party aggregators don’t provide the timely, independent visibility that's necessary to quickly and accurately identify the root cause of slowdowns.

The world of cloud computing is undergoing a significant transformation, driven by the rapid adoption of Artificial Intelligence (AI). As AI continues to evolve and improve, it's becoming increasingly clear that access to advanced AI infrastructure is crucial for businesses to remain competitive. During Civo Navigate London 2025, Josh Mesout spoke about the importance of of AI for the future of cloud computing and how Civo is working to democratize access to advanced AI infrastructure.

As the witching hour approaches, your data center hums quietly – servers glowing like jack-o’-lanterns in the dark. Everything seems calm… until suddenly, your phone lights up with a chilling alert. CPU usage is spiking. Network latency is haunting your system. The ghost of downtime lurks nearby. Welcome to the spooky world of IT alerting – where nightmares come true if your team isn’t ready.

When your company has multiple offices or operational sites – whether that’s across the U.S. or around the world – getting alerts to the right team isn’t as easy as just checking who’s on duty. Events can come from a wide range of sources tied to different physical locations, time zones, or even separate departments, and not every alert is meant for every team. Let’s say your company has operations in New York, Dallas, and San Francisco.