Contributed Content
Secure DevOps at Scale: Integrating SRE, DevSecOps and Compliance
Johnbosco Ejiofor | | agile development, cloud-native security, compliance automation, devsecops, enterprise applications, regulatory standards, SaaS development, Secure DevOps, security and reliability, site reliability engineeringEnterprises developing SaaS products face the challenge of balancing innovation, security, and compliance. By adopting Secure DevOps practices—integrating security into every stage of development—and implementing site reliability engineering (SRE), organizations can enhance ...
When Open Networks Meet AI Coding: A Tsunami of Smart Enterprise Apps
Vikram Srivats | | AI-powered coding, digital transformation, enterprise technology, innovative connectivity, intelligent applications, network-aware applications, open telecom APIs, programmable networks, software development, telecom trendsThe enterprise technology landscape is on the verge of a major transformation, driven by two key trends: open telecom network APIs and AI-powered coding platforms. This convergence allows businesses to create intelligent, ...
Beyond Test Case Generation: How to Create Intelligent Quality Ecosystems
Hélder Ferreira | | AI‑infused product testing, BDD, CI triage, drift detection, flaky tests, GenAI QA, intelligent automation, intent‑based assertions, lifecycle intelligence, prompt variation, QA governance, regression risk, review‑first governance, test case generation, test coverage management., test data generation, Test Maintenance, test orchestrationMove GenAI in QA from test‑factory to life‑cycle intelligence: AI proposes coverage and data, humans review, deterministic automation executes—focus on risk‑aligned coverage, drift detection, and governance ...
The 10-Layer Monitoring Framework That Saved Our Clients From 3 a.m. Pages
Amjad Syed | | alerting philosophy, apm, application performance, cache metrics, database monitoring, Distributed Tracing, external dependency monitoring, Incident Prevention, infrastructure monitoring, Kubernetes monitoring, log pattern detection, , monitoring framework, observability, OpenTelemetry, production monitoring, real user monitoring, SSL certificate monitoring, synthetic monitoringA practical 10-layer monitoring framework for Kubernetes and VM environments that prioritizes what to watch—system, application, HTTP/RUM, databases, caches, queues, tracing, SSL, external deps, and log patterns—to prevent outages and reduce noisy ...
MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability
Abhijit Ubale | | agentic AI, AI-Driven DevOps, autonomous intelligence, cloud-native infrastructure, devops evolution, MCP, Model Context Protocol, multi-agent systems, resilience and efficiency, site reliability engineeringDiscover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems ...
4 Security Risks of AI Code Assistants
Zac Amos | | AI (Artificial Intelligence), AI agent security, Code Assistant, generative AI risks, risk managementAI coding assistants can introduce vulnerabilities, privacy risks, and dependency issues. Learn key cybersecurity practices to safely use AI in software development ...
Why Responsible AI Isn’t Optional in DevOps — it is the Next Frontier of Ownership
Sundeep Bobba | | accountability, AI in DevOps, automation, CI/CD pipelines, decision-making, governance, leadership, organizational commitment, responsible AI, trust in technologyThe integration of AI in DevOps brings both opportunities and accountability challenges. This article explores the implications of AI decision-making within CI/CD pipelines and emphasizes the need for governance frameworks to ensure ...
Why Data Contracts Need Apache Kafka and Apache Flink
Data contracts prevent breaking schema changes in data pipelines. Learn how Kafka and Flink help specify, implement and enforce them ...
Bot-Driven Development: Redefining DevOps Workflow
Oluwakorede Akinsete | | agile development, AI-powered tools, automation, bot-driven development, BotDD, CI/CD pipeline, devops, intelligent agents, productivity enhancement, software lifecycleExplore the transformative impact of bot-driven development (BotDD) in DevOps, where AI-powered tools drive significant parts of the software lifecycle. Learn how this evolution combines human insight with intelligent automation to enhance ...
What is OPA (Open Policy Agent)?
Open Policy Agent (OPA) is a versatile policy engine designed to handle policy enforcement across cloud infrastructures. It enables users to define and apply policies consistently across a variety of systems, helping ...
The Problem’s Not Your Monitoring Tools, It’s Your Workflow
Dan Roy | | alert fatigue, DevOps workflows, incident response, on-call management, Unified ObservabilityThe real cost of poor observability isn’t just downtime; it’s lost trust, wasted engineering hours, and the strain of constant firefighting. But most teams are still working across fragmented monitoring tools, juggling ...
Top 15 DevOps Trends to Watch in 2026
Launched in 2008, the audio streaming platform Spotify has more than 200 million active users worldwide. Initially, Spotify relied on a homegrown container orchestration system called Helios. In 2017, this became a ...
