Docker Swarm vs Kubernetes: Which Should You Use in 2026?
Docker Swarm vs Kubernetes: compare learning curve, scaling, networking, security, cost, and best use cases so you can choose the right orchestrator.
Read the full story on Portainer BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More from Portainer
Recent updates from Portainer, so you can tell whether this is a one-off or part of a pattern.
Multi Cluster Kubernetes Configuration Management Guide
Kubernetes configuration management is how teams define, store, and control app settings via ConfigMaps, Secrets, Helm, and GitOps across clusters.
Kubernetes Secrets Types, Management, Best Practices & Solutions
Managing Kubernetes Secrets at scale? See how Portainer helps teams improve visibility, enforce access controls, and simplify Kubernetes operations.
5 Best Citizen Developer Tools in 2026 (Reviewed & Compared)
The best citizen developer tools include Microsoft Power Apps, Mendix, OutSystems, Retool, and Airtable, each suited to a different type of build.
More in Containers & Kubernetes
What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service), you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
Why your startup needs open models alongside frontier APIs
Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows. Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most effective engineering teams have…