Contributed Content
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
Stamatis Houliaras | | API integrations, business continuity, digital transformation, Enterprise software integration, ERP implementation, IT infrastructure, Middleware solutions, Software selection, System connectivityImagine 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 ...
AI in Government: Why Flexibility Matters More Than Ever
Dr. Darren Pulsipher | | ai, AI Developers, artificial intelligence, Federal Technology, Government TechnologyThe 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
Hayk Ghukasyan | | automation platform, continuous deployment, Kafka Messaging, microservices, monolithic architecture, Observability Stack, scalabilityMicroservices 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
Surya Avirneni | | CI/CD security, Open Policy Agent (OPA), Secure software delivery, SPIFFE / SPIRE, Workload attestation, zero-trustThis 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 ...
Developing Software That Solves Real-World Problems – A Technologist’s View
Vijay Pahuja | | Cloud Computing, event-driven architecture, fintech innovation, healthcare technology, microservices, real-world problem solving, software architecture, software developmentSolving 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
Bibin Skaria | | CI/CD pipelines, cloud automation, Configuration Management, Infrastructure as Code (IaC), TerraformThe 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 ...
AI as the Architect’s Muse: Redefining Software Design in the Age of Intelligence
Sachin Suryawanshi | | AI-Driven Architecture, DevOps Innovation, Future of Software Engineering, Human-Machine Collaboration, Intelligent Optimization, Machine Learning in Design Architectural Resilience, self-healing systems, Software Design EvolutionSoftware 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
Michelle Buckner | | AI in DevOps, CI/CD pipeline security, cloud security best practices, continuous compliance, DevOps compliance, FedRAMP DevOps, GRC automation, microservices security, NIST compliance, security automationBreaking 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
Dinesh Besiahgari | | AI-Driven DevOps, Amazon SageMaker, AWS Bedrock, CI/CD Automation, devsecops, Self-Healing PipelinesThe combination of SageMaker and Bedrock enables DevOps teams to develop secure self-healing pipelines through AI harmonization, which transforms software delivery processes ...
