Operations | Monitoring | ITSM | DevOps | Cloud

It happens often that an application, when running on bare metal, performs well. However, after the application is packed into an image, tested on Docker/Podman, then migrated to Kubernetes, performance plummets. With an increasing number of database calls issued by the application, the application response times increase. This common situation is often due to data transfer induced I/O delays.

Many businesses rely on cloud infrastructure to power their software solutions. The cloud today makes it easier than ever to create services and components, increasingly the complexity of software. With more and often smaller processes, cloud-native architectures have driven the need for better insights into our software—a way to look into how these processes fit together.

Kubernetes is one of the most significant advances in cloud computing since the public cloud. It provides an open-source, highly scalable, and cloud-native platform for orchestrating containerized applications. More organizations now use Kubernetes to deploy, network, scale, and manage containers at scale. In addition, the Kubernetes architecture empowers them to deploy containerized applications swiftly across various platforms, support distributed systems, and scale operations to meet demands quickly.

In June 2024, Amazon hit an astounding $2 trillion valuation, joining the elite ranks of companies like Alphabet, Apple, Microsoft, and Nvidia. This growth was largely driven by the success of its cloud computing division, Amazon Web Services (AWS), which holds one-third of the global cloud market share. That equals the combined market share of Microsoft Azure and Google Cloud! But who are AWS’s biggest contributors to this success?