Continuous Compliance for Cloud-Native CI/CD Pipelines
How DevOps teams can embed auditability without sacrificing delivery speed.
Why You Shouldn’t Forget Workflows With Agentic AI Systems
AI agents are the new kid on the block, but it doesn’t mean they’re here to usurp traditional workflows. The two work well in conjunction.
Chaos Engineering for APIs: Integrate Failure Testing into Your CI/CD Pipeline
Adopting chaos engineering is not just about tools and processes. It can also lead to a significant shift in how development teams view failure.
Streamlining CI/CD: Building Efficient Pipelines With GitHub Actions for Modern DevOps
How to use GitHub Actions to enhance your CI/CD pipelines, reduce operational overhead and create an automation and collaboration culture.
If Planes Can Fly Themselves Then Why Can’t IT Management be Autonomous?
Autonomous reliability platforms of the future will surface actionable insights and be competent enough to make autonomous decisions.
Will Policy-as-Code Still Matter if AI Generates Most Code?
Organizations should start embedding PaC into their AI workflows today. Tools and emerging AI-focused platforms are the first line of defense in the automated future.
The Integration Trap: When Your “Seamless” System Crashes at the Worst Possible Moment
Imagine this: You have just finished implementing a big, enterprise-level software. The project took months (or years), cost a fortune and required countless hours of work. But you did it! Now, it is finally time to reap the ROI from your investment. But guess what? You also have to deal with the consequences. Integration: A […]
AI in Government: Why Flexibility Matters More Than Ever
The early blooms of AI experimentation showed the new, promising ways of streamlining government operations. Now comes the real work of cultivating environments where AI can take root and thrive.
From One Big System to Many Small Ones: Our Microservices Story
Microservices offer flexibility, but they also introduce additional management complexities. Start small. Monitor everything. Plan for failure.
Why CI/CD Pipelines Break Zero-Trust: A Hidden Risk in Enterprise Automation
This article highlights a critical blind spot in pipeline security: The gap between job identity and runtime trust. Here’s how organizations can finally close it.
How Benchmarking Can Help Software Development Teams Achieve CISA’s “Secure by Design”
In April 2023, the Cybersecurity and Infrastructure Security Agency (CISA) launched its Secure by Design initiative, directing technology companies to ‘prioritize the security of customers as a core business requirement, rather than merely treating it as a technical feature’.
Developing Software That Solves Real-World Problems – A Technologist’s View
Solving real-world issues with software is not only about creating the biggest and the best system, but creating the right one.
Infrastructure-as-Code (IaC): The Key to Agile and Automated Cloud Deployments
The move to using infrastructure-as-code (IaC) for automated, reliable cloud deployments is a necessity in modern cloud computing.
From Tickets to Pipelines: Rethinking DevOps Through a Product Lens
Rather than viewing their work as a collection of isolated tasks, DevOps teams can begin to operate like product teams — designing and delivering platforms and tooling that add lasting value and improve the developer experience.
AI as the Architect’s Muse: Redefining Software Design in the Age of Intelligence
Software architecture is no longer a static artifact — it’s a dynamic, living thing, shaped by AI’s relentless curiosity and our own audacity.
AI-Powered DevSecOps: Navigating Automation, Risk and Compliance in a Zero-Trust World
Breaking down how artificial intelligence (AI) is reshaping DevSecOps, the security pitfalls that come with it and how to balance the raw efficiency of automation with the actual realities of risk mitigation.
Harmonizing AI-Driven DevOps: Building Secure, Self-Healing Pipelines With AWS Bedrock and SageMaker
The combination of SageMaker and Bedrock enables DevOps teams to develop secure self-healing pipelines through AI harmonization, which transforms software delivery processes.
Unit Testing in Development: Ensuring Code Quality and Reliability
Unit testing is a fundamental practice in software development that ensures code reliability, maintainability and early bug detection.
Next-Generation Observability: Combining OpenTelemetry and AI for Proactive Incident Management
OpenTelemetry and AI integration change the nature of observability for organizations in their quest to manage distributed systems.
Data, Determinism, and AI in Mass-Scale Code Modernization
Discussing the code data problem and what’s needed to enable agentic experiences that can drive code analysis and refactoring at scale.
From Code to Impact: The New Role of Engineers in an AI-Driven World
It’s no longer a question of if AI will change engineers’ roles — it already has. The real question is, how can engineers amplify their impact in this new reality? Exploring what’s next for engineers.
Balancing AI Workers of the Future With Human Talent of Today in Software Development
Artificial intelligence (AI) is becoming pivotal across industries and the app development market is no exception. Every app in the world is on track to be reinvented with AI. Even the most basic, single-purpose apps in Windows, such as Notepad and Paint, are now infused with AI to enhance productivity. These longtime staples, once just […]
Optimizing CI/CD Pipelines for Developer Happiness and High Performance
Focusing on DevEx through strategic CI/CD optimization can transform the development lifecycle and significantly improve developer productivity.