Contributed Content
AIOps for SRE — Using AI to Reduce On-Call Fatigue and Improve Reliability
Ankur Mahida | | AI for IT operations, AI-driven operations, AIOps, alert fatigue, anomaly detection, automated remediation, cloud operations, devops, event correlation, incident management, IT observability, machine learning in IT, noise reduction, predictive maintenance, reliability engineering, root cause analysis, self-healing systems, site reliability engineering, SRE, SRE automationSite reliability engineering (SRE) has become an emergent niche practice invented at Google to become a foundation of contemporary enterprise performance worldwide. With the continued growth of microservices, a multi-cloud infrastructure and continuous deployment pipelines adopted by ...
DevSecOps in Practice: Closing the Gap Between Development Speed and Security Assurance
Usman Peter | | application security automation, automated vulnerability scanning, CI/CD pipeline security, cloud and container security, continuous feedback loops, continuous security integration, developer security mindset, development speed and security balance, devsecops, DevSecOps best practices, risk-based security, SaferNet VPN, Secure DevOps, secure software development, security as code, security automation tools, security champions, security culture, shift left security, Software Supply Chain SecurityIn the world of modern software development, speed is king. Teams are under constant pressure to release features, fix bugs and stay ahead of competitors. Yet, as development velocity increases, so does ...
The Most Destructive Cloud Cost Pitfall: Discounts Before Optimization
Organizations under pressure to cut cloud costs often reach for discount programs first as the simplest lever. It feels like a win to commit to reserved capacity or enterprise agreements because it ...
5 Pillars of Successful Web App Development
Roman Davydov | | app development best practices, app performance, cloud hosting, cross-platform compatibility, custom web apps, devops, digital transformation, Enterprise software, Itransition, microservices, responsive design, scalability, secure coding, software development, user-centric design, UX design, web app development, web architecture, web securityToday, building a high-quality and competitive web application requires more than just clean code, a user-friendly UX and good development practices. The success of such a project also hinges on creating a strategic approach and prioritizing components ...
From Code to Confidence: Building AI Apps That Earn User Trust
Chris Sheehan | | AI bias, AI ethics, AI Governance, AI quality assurance, AI testing, AI trust, Applause, bias detection, explainable AI, fairness, feedback loops, human-centered AI, inclusive testing, MLOps, model transparency, responsible AI, trustworthy AI, user confidence, user experienceAs 65% of users report issues with AI applications, trust has become the new UX battleground. Learn how developers can build fair, transparent, and reliable AI systems through human-centered testing, inclusive feedback ...
Gain Control of Your Innovation With Low Code Technologies
Claudia Mirza | | application development, automation, business agility, business innovation, cloud platform, collaboration, digital transformation, digital workflow, enterprise productivity, Enterprise software, integration, low-code development, no-code tools, operational efficiency, orchestration, process orchestration, rapid app development, RunMyProcess, visual development, workflow automationLow-code development and orchestration are redefining how enterprises build, connect, and scale digital systems. Discover how platforms like RunMyProcess empower teams to create applications faster, automate workflows, and drive collaboration, agility, and ...
How AI Code Assistants Can Save 1,000 Years of Developer Time
Dr. Michael Kwok | | AI code generation, AI coding assistants, AI development tools, AI for developers, AI in software development, AI pair programming, AI-assisted programming, automation in coding, code quality, coding automation, developer efficiency, developer productivity, generative AI tools, innovation in DevOps, software modernization, time savingsAI code assistants like GitHub Copilot and IBM watsonx Code Assistant are transforming software development—automating routine tasks, improving code quality, and saving developers up to 200 hours a year. The result: faster ...
How AIOps is Revolutionizing DevOps Monitoring in the Cloud Era
Joydip Kanjilal | | AI in IT operations, AI-Driven DevOps, AIOps, anomaly detection, automation in cloud, CI/CD pipelines, Cloud Computing, cloud-native monitoring, devops, digital transformation, hybrid cloud, incident management, intelligent automation, observability, Operational Excellence, Predictive Analytics, predictive monitoringAs cloud-native systems grow more complex, traditional monitoring falls short. AIOps brings AI, automation, and predictive insights to DevOps—enabling real-time detection, diagnosis, and resolution across distributed environments for faster, smarter operations ...
The AI-Powered Evolution of Software Development
Vishwanath Krishnamurthy | | agentic AI, AI for developers, AI in DevOps, AI in software development, AI productivity tools, AI testing tools, AI-driven coding, AI-native applications, AI-powered development, AI. analytics, autonomous software operations, code optimization, devex, Future of Software Engineering, GitHub Copilot, intelligent automation, machine learning, OpenAI Codex, predictive maintenance, software qualityArtificial intelligence is revolutionizing software development—accelerating coding, improving quality, and enabling autonomous operations. From GitHub Copilot to AI-driven DevOps, businesses leveraging AI tools are building smarter, faster, and more adaptive applications ...
Is There Still a Difference Between DevOps and AIOps?
Alexander Williams | | AI in IT operations, AIOps, automated remediation, CI/CD, devops, digital transformation, intelligent automation, machine learning, observability, Predictive AnalyticsDevOps transformed software delivery through speed and collaboration. AIOps takes it further—adding AI-driven insight, anomaly detection, and intelligent automation. Together, they form the next evolution of IT operations: smart, adaptive, and self-healing ...
DevOps Workflow: The Key Elements and Tools Involved
Peter Baker | | agile methodology, Automated testing, automation tools, CI/CD, collaboration tools, continuous delivery, continuous improvement, continuous integration, devops best practices, devops culture, DevOps workflow, devsecops, feedback loops, GitHub Actions, GitLab CI, IaC, infrastructure as code, IT operations, logging, Microsoft Teams, monitoring, observability, Quality Assurance, software developmentWhat does a modern DevOps workflow look like? Click to learn about the essential elements, tools, and practices involved in the effective work process. ...
Your Next Secrets Leak is Hiding in AI Coding Tools
AI coding tools are accelerating secrets sprawl in Kubernetes workflows. Learn where leaks happen and how platform teams can contain the risk. ...
