Liberating Structures are a great way to improve communication, collaboration and decision making in groups.

Chaos engineering is a discipline that helps to improve system resilience through controlled experiments that simulate real-world failures. By intentionally causing disruptions, chaos engineering allows organizations to identify weaknesses in their systems and address them before they lead to actual outages. Learn more about how to design and conduct chaos experiments effectively.

ChatGTP is booming and many developers are already exploring it for their day-to-day work. ChatGPT for AWS – what’s in it for you?

Software supply chain (SSC) attacks are on the rise. To protect themselves from attacks and breaches, enterprises need new solutions to secure every aspect of the SSC.

Understand how Codefinger ransomware affects AWS users and ways to minimize them.

Explore the dynamic synergy between Portainer and GitLab, two powerhouse platforms revolutionizing container orchestration. Discover how their seamless collaboration streamlines workflows, enhances collaboration, and empowers businesses for agile, innovative success.

Learn all about Crowdstrike Charlotte AI detection triage, the Agentic AI innovation that uplifts threat detection with Crowdstrike’s cybersecurity expertise.

Veranderingen in DevSecOps volgen zich razend snel op. Innovaties transformeren de manier waarop organisaties software ontwikkelen, beveiligen en beheren, waardoor processen efficiënter en applicaties veiliger worden. In dit artikel behandelen we hoe dit de toekomst van DevSecOps zal vormgeven.

Explore DeepSeek's rise as a cost-effective AI solution, its potential to disrupt the market, challenges, data privacy concerns, and international regulations.

DeepSeek challenges US AI dominance, sparking a geopolitical AI war. Can China compete without US chips? Will export bans backfire? Where does the EU stand?

We are thrilled to announce the fifth edition of our "DevOps in Switzerland” report!

AI-assisted development is no longer a futuristic concept; it's the present reality. With AI accelerating the development velocity, can your legacy and fragmented tooling help you sustain the frequent code deployments?