Latest from Marc
The DevOps Standard Gives Teams a Shared Model for Software Delivery
A release can pass every pipeline check and still leave an organization uncertain about whether to proceed. Security evidence may exist in another system, the recovery plan may be incomplete, and nobody may own the final decision. The difficulty lies in how the delivery system connects its capabilities and responsibilities. The new DEVOPS INSTITUTE Official […]
Oct 2, 2026 · 3 minAll articles by Marc Hornbeek
Showing 1–24Respect and Trust as DevOps Engineering Disciplines
Respect and trust are DevOps engineering disciplines. They shape flow, quality, security, reliability, and adaptation.
Intelligent Continuous Security From the Platform Outward
In the end, ICS is not a tool — it’s a philosophy of secure software delivery. When it begins with the platform, everything else aligns: Speed, safety and scale.
From Testing Hell to Quality Heaven With Intelligent Continuous Testing
Intelligent Continuous Testing is not just the next step in automation — it’s the missing link between speed and quality in modern software delivery. If your team is stuck in manual testing purgatory, it’s time to reimagine testing as a smart, adaptive, and always-on partner in your journey to excellence.
Bridging the Dev and SecOps Gap: How Intelligent Continuous Security Enables True End-to-End Security
Intelligent Continuous Security (TM) (ICS) is the next evolution — harnessing AI-driven automation, real-time threat detection and continuous compliance enforcement to eliminate these inefficiencies. ICS extends beyond DevSecOps to also close security gaps with SecOps, ensuring end-to-end continuous security across the entire software lifecycle.
DevOps for Both Discontinuous and Continuous Improvements
According to Dr. Russell Ackoff, pioneer of systems design theory. “Discontinuous improvements are more important than continuous improvements” because creativity is a disruptive process. True quality focuses on value not efficiency. And to achieve quality it is essential to engineer a system as a whole, and not only improve its parts. This viewpoint is different […]
Crossing the DevOps Performance Chasm With Continuous Feedback
Continuous Testing, Quality, Security, and Feedback — is essential for organizations aiming to become DevOps high-performers.
Platform Engineering: The Evolution to DevOps-as-a-Service
Platform engineering represents the evolution of DevOps into a more structured and service-oriented model, effectively embodying the principles of DevOps-as-a-service.
How Generative AI Enables Unified Continuous Testing Platforms
Generative AI can help address the challenges of unifying diverse testing needs into a single continuous testing platform.
Applying AI/ML to Continuous Testing
Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT). CT is especially critical in the context of continuous integration/continuous deployment (CI/CD) pipelines, where the need for speed and efficiency must be balanced with the demands for quality and […]
The Great Debate: The Future of Humans and Software in the Age of AI
A balanced approach to AI adoption, integration and use in software development would result in a future where AI and human capabilities are intertwined.
Forget Shift Left: Why ‘No Shift’ is the Future of Software Innovation
A no shift strategy argues for developing and testing directly in production, bypassing the traditional dev-to-production delivery pipeline.
Embracing the Future: Navigating the Waves of AI in DevOps
Generative AI provides a unique competitive edge, enabling superior digital experiences, innovative products and services and proactive responses.
Operational Intelligence: AI-Powered SRE Measurements and Observability
AI-engineered tools can be used to improve the SRE measurements and observability pillar of practice.
Embracing Chaos With AI: Reinventing SRE’s Anti-Fragility Practices
Incorporating AI tools in the realm of anti-fragility enables SREs to build systems that not only resist stress but thrive under it.
Strategic Roadmap for SREs: Software Deployments With AI
AI’s role in enhancing SRE practices, specifically software deployments, is revolutionizing the efficiency of deployment processes.
AI: A Game-Changer for SRE Work-Sharing and Technical Debt
AI-engineered tools can be used to improve the SRE work-sharing and technical debt pillar of DevOps practice.
Unleashing AI in SRE: A New Dawn for Incident Management
In my recent blog, Revolutionizing the Nine Pillars of SRE with AI-Engineered Tools, I indicated that AI could assist with incident management by automating the detection and triage of incidents and helping to quickly identify the root cause. In this blog, I explain in more detail how AI-engineered tools can be used to improve the […]
Using AI to Shift Production Wisdom Left
Shifting the wisdom of production left is all about bringing production considerations into the development process as early as possible.
Upgrade SRE Performance Management With AI
In my recent blog, Revolutionizing the Nine Pillars of SRE with AI-Engineered Tools, I indicated that AI could analyze application and infrastructure performance data to identify optimization opportunities and predict capacity requirements. In this blog, I explain in more detail how AI-engineered tools can be used to improve the pillar that I call performance management […]
Harnessing AI for Automated and Toil-Free SRE
AI not only reduces toil but also contributes to improving system reliability, efficiency and scalability, forming a critical part of modern SRE practices.
The Role of AI in ITSM: SLAs, SLOs, SLIs and Error Budgets
In the complex landscape of ITSM, AI is emerging as a transformative force, enabling organizations to manage their systems with unprecedented precision and proactivity.
Revolutionizing the Nine Pillars of SRE With AI-Engineered Tools
In my blog Rapid Strategic SRE Assessments Accelerate IT Transformations published last year, I classified site reliability engineering (SRE) into nine pillars of SRE practices—a comprehensive framework that covers the full scope of SRE practices. This nine pillars SRE framework is consistent with the SRE blueprint published by the DevOps Institute. Each of these pillars […]
How AI Transforms DevOps Infrastructure
AI can help manage cloud resources for DevOps by predicting future needs based on usage trends and automatically adjusting resources to optimize cost and performance.