Operations | Monitoring | ITSM | DevOps | Cloud

Komodor

Why Kubernetes Is Becoming the Platform of Choice for Running AI/MLOps Workloads

Artificial intelligence (AI) and machine learning operations (MLOps) have become crucial across a wide swath of industries, with the two technologies working in tandem to provide value. AI enables data-driven insights and automation, while MLOps ensures efficient management of AI models throughout their lifecycle. With AI’s growing complexity and scale, organizations need robust infrastructure to manage intensive computational tasks, giving rise to platforms like Kubernetes.

Kubernetes at the Cutting-Edge of Innovation

Edge computing is a decentralized computing approach that processes data and performs computations near the source of the data—local servers, smart devices, or edge nodes—rather than depending on a centralized data center. This reduces latency, which is often a result of data having to travel long distances and improves bandwidth efficiency. Discover how edge computing and Kubernetes revolutionize data processing and deployment.

The Future of Kubernetes Observability

The Kubernetes ecosystem is undergoing a significant transformation, and the trends emerging at KubeCon highlight just how dynamic this space has become. Traditional Application Performance Monitoring (APM) providers are rapidly shifting focus to Kubernetes Performance Monitoring (KPM), reflecting the growing need for specialized observability in increasingly complex environments.

#032 - Kubernetes for Humans Podcast with Solomon Hykes (Dagger.io)

Solomon Hykes began his career as a System Administrator at Fairgame in 1999 and later worked as a Junior Software Engineer at the San Diego Supercomputer Center in 2002. In 2003, he became self-employed and worked as a Tech Mentor & Instructor until 2004. Solomon then joined CEIS as a Trusted Infrastructure Engineer from 2004 to 2006. Solomon Hykes then joined SmartJog as a Solutions Engineer from 2006 to 2007.

#031 - Kubernetes for Humans Podcast with Daniel Bryant (Syntasso)

Daniel Bryant is the Head of Product Marketing at Syntasso. His technical expertise focuses on ‘DevOps’ tooling, cloud/container platforms, and microservice implementations. Daniel is a long-time coder, platform engineer, and Java Champion, contributing to several open-source projects. He also writes for InfoQ, O’Reilly, and The New Stack and regularly presents at international conferences such as KubeCon, QCon, and JavaOne. In his copious free time, he enjoys running, reading, and traveling.

Kubernetes is Not Just a Platform - It's a Whole Ecosystem

As someone who is building a platform that is intended to make Kubernetes operations easier for everyone––I’ve learned a lot about production Kubernetes operations. The main thing I’ve noticed folks getting wrong, is that it isn’t simply a platform, it’s an entire ecosystem.

Build Your Own Developer Platform in 90 Minutes

In today’s fast-paced technology landscape, creating a robust developer platform is essential for streamlining software development processes and ensuring efficient collaboration across teams. In this talk, we will explore how you can build your own developer platform in just 90 minutes using a powerful combination of Backstage, ArgoCD, and Kubernetes (K8s).

Mastering Kubernetes Fleet Management for Multi-Cluster Success

In today’s cloud-native world, enterprises increasingly manage multiple Kubernetes clusters across public and private clouds, edge, and on-premises environments. As clusters proliferate, efficient management is key to ensuring consistency, security, and reliability across the fleet.

Build Your Own Developer Platform in 90 Minutes Using Kubernetes, ArgoCD, and Backstage

This is a re-recording of the LIVE workshop from DevOpsDays Tel Aviv In today's fast-paced technology landscape, creating a robust developer platform is essential for streamlining software development processes and ensuring efficient collaboration across teams. In this talk, we will explore how you can build your own developer platform in just 90 minutes using a powerful combination of Backstage, ArgoCD, and Kubernetes (K8s).