Operations | Monitoring | ITSM | DevOps | Cloud

It’s only a matter of time. OpenAI CEO Sam Altman said in 2024 that he thought this could be achieved by the end of 2026. Personally, I feel this is a little optimistic; however, based on the evidence I’ve seen, it won’t be long after that. Consider Telegram: a global messaging giant with just 30 employees, already achieving a remarkable $1 billion in revenue. Or Midjourney, revolutionizing creative industries with only 40 employees and generating an impressive $500 million.

With the rise of AI and machine learning comes data. Lots of it. For organizations today, AI is radically changing the way data is accessed, maintained and operationalized. For heads of architecture and development teams, it offers opportunity and responsibility.

Google Cloud released Google Kubernetes Engine (GKE) as a commercial version of native Kubernetes (K8s). GKE promises a user-friendly, reliable, and cost-effective service. Yet calculating GKE costs can be daunting, including understanding what you’re paying for and maximizing your return on investment. In this GKE pricing guide, we’ll discuss how GKE pricing works, what it costs, and more.

In this article, discover how the Qovery engineering team built a high-performance Logs Interface to handle thousands of lines of data efficiently.

We’re excited to share that our latest industry analysis has been featured in Packet Pushers, one of the most trusted voices in networking and infrastructure.

Today we are announcing chiseled containers for OpenJRE 8, 17 and 21 (Open Java Runtime Environment), coming from the OpenJDK project. These images are highly optimized for size and security, containing only the dependencies that are strictly necessary. They are available for both AMD64 and ARM64 architectures and benefit from 12 years of security support.

We’re going beyond notifications — and building the most powerful, flexible, and team-first on-call experience on the market. When we launched Signals, it was because alerting and on-call desperately needed a reset. Legacy tools hadn’t evolved with the way modern teams work — they were individual-centric, inflexible, and wildly overpriced. Signals changed that.

Modern cloud solutions mean much more than just data storage. Cloud technologies cover virtual services, including analytics, databases, networking, servers, and storage via the internet. Such a giant as Microsoft is among the most prominent cloud providers with its Azure platform. “Platform as a Service,” or PaaS, is a popular solution for database specialists. It is a powerful database engine that allows you to perform most database management routines.