Contributed Content
Are AI Agents the Future of DevOps Automation?
Vinay Pasilkar | | agentic AI 2026, AI agents in DevOps automation, AI development company, AI-driven incident management, AI-powered observability, AIOps vs DevOps 2026, autonomous DevOps workflows, DevOps automation with AI, DevSecOps AI governance, GenAI in DevOps, human-in-the-loop AI, infrastructure as code AI, intelligent CI/CD pipelines, ML in DevOps, MTTR reduction AI, platform engineering automation, predictive build failure, predictive deployment analytics, self-healing infrastructure, software delivery automationDevOps has changed fast in the last decade. Scripts became pipelines. Pipelines became platforms. Now, AI agents in DevOps automation are leading the next wave. Today’s cloud systems are complex. Teams manage containers, microservices and hybrid ...
AI Didn’t Break Your DevOps Pipeline, Your Process was Already Rotten
Alexander Williams | | 2026 tech trends, AI DevOps failures, AI incident response, AI-driven rollbacks, automated decision-making risks, automated pipeline decay, CI/CD judgment automation, DevOps cultural debt, DevOps ownership gaps, machine-speed operations, observability discipline, on-call burnout, operational friction, proactive observability, process debt, Signal-to-Noise Ratio, software delivery performance, software reliability, technical debt amplification, telemetry driftAI isn’t breaking your DevOps pipeline; it’s exposing the flaws you’ve ignored for years. Learn how automated decision-making accelerates process decay, amplifies noisy signals, and reveals the ownership gaps that human intuition ...
From AI Code to Production: The Case for FeatureOps
Alex Casalboni | | AI Code Governance, AI coding risks, automated rollbacks, Cloud-Native Ecosystem, Cloudflare Downtime Postmortem, Continuous Deployment Safety, Deployment vs Release, DevOps vs FeatureOps, DORA Report 2025, Error Handling AI Code, Feature Flag Best Practices, Feature Flagging 2026, FeatureOps, Global Kill Switches, Google Cloud Outage 2025, OpenFeature CNCF, progressive delivery, Runtime Control, Software Understanding Gap, Unleash Open SourceAs 80% of developers adopt AI coding tools, delivery stability is hitting a wall. Discover why "FeatureOps" and feature flagging are the critical runtime controls needed in 2026 to close the understanding ...
The SaaS Observability Era is Ending: Why BYOC Is the Future of Telemetry
Shahar Azulay | | AI workload observability, Bring Your Own Cloud, BYOC Observability, Cardinality Surcharges, cloud-native monitoring, Data Ingestion Pricing, Egress Cost Optimization, FinOps for Observability, High-Cardinality Metrics, Infrastructure as Code Monitoring, Kubernetes Telemetry 2026, Modern Engineering Architecture, OpenTelemetry Standards, Private Cloud Observability, Real-time Telemetry Processing, SaaS Observability Costs, Telemetry Data Sovereignty, Trace Sampling Tradeoffs, VPC Deployed Monitoring, Zero Trust ObservabilityThe era of expensive, centralized SaaS observability is hitting a wall. Discover why the "architectural revolution" of Bring Your Own Cloud (BYOC) is the 2026 solution for Kubernetes and AI workloads, restoring ...
Policy as Code for Cost Control, Not Just Compliance
Mariusz Michalowski | | cloud cost management, FinOps, infrastructure as code, kubernetes, platform engineering, policy as codePolicy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early ...
The Green Side of Observability: Why Less Data Can Mean More Insight
Observability can generate massive data volumes. Learn how sustainable observability reduces telemetry waste, lowers costs and improves insight ...
Low-Code’s New Frontier: Tailored Solutions for Each Industry
JJ McGuigan | | application development platforms, DevOps pipelines, digital transformation, enterprise devops, low-code development, regulated industriesFor years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering ...
The Risk Profile of AI-Driven Development
Ilkka Turunen | | AI-generated code, AIBOM, autonomous development, autonomous security, challenge bottleneck, CI CD gating, cloud-native security, Dependency Management, GRC engineering, hallucinations, IDE controls, license compliance, machine speed enforcement, OpenSSF Gemara, Outdated Dependencies, policy based dependency selection, prompt level governance, review bottleneck, runtime transparency, SBoM, secure by default, shift left security, Software Supply Chain, threat modeling, transitive dependencies, trusted registries, typosquattingAnalysis arguing that AI-driven code generation accelerates dependency decisions and expands supply-chain risk, requiring shift-left governance, prompt-level controls, automated SBOM/AIBOM visibility, threat-modeling as engineering, and autonomous security to match autonomous development ...
How eBPF and OpenTelemetry Have Simplified the Observability Function
Morgan McLean | | auto instrumentation, ebpf, endpoint visibility, Grafana Labs, instrumentation, kernel level, kubernetes, legacy applications, linux, metrics, monitoring, network observability, OBI, observability, observability adoption, observability practice., OpenTelemetry, OpenTelemetry Injector, RED metrics, SDKs, security concerns, Splunk, supply chain, telemetry, third party software, traces, vendor neutral, zero code instrumentationOverview arguing that OpenTelemetry eBPF Instrumentation (OBI) — combined with OpenTelemetry Injector — removes barriers to full observability by enabling zero-code, kernel-level telemetry for Kubernetes and Linux environments, solving language, legacy, and ...
Zero Downtime Multicloud Migrations for Observability Control Planes
Deven Chawla | | control planes, distributed systems, multicloud, observability, platform engineeringMost platform teams aren’t deciding whether they’ll run across multiple clouds. They already are, or they’ll be soon. The real question is how to migrate critical systems without turning on-call into a ...
How We Got Here: Alert Fatigue to Decision Fatigue
AI and observability reduced alert fatigue, but decision fatigue remains. Decision architecture helps DevOps teams scale operational judgment ...
On-Call Rotation Best Practices: Reducing Burnout and Improving Response
Neel Shah | | alert fatigue, alert hygiene, automated remediation, burnout prevention, incident management, incident postmortem, mttr, observability, on‑call best practices, on‑call compensation, on‑call metrics, OpsGenie, pagerduty, platform engineering, rotation models, runbook automation, Runbooks, shadow rotation, SREPractical SRE on‑call guide covering rotation models, alert hygiene, runbooks, metrics, compensation, shadowing, and automation to cut pager load and prevent engineer burnout ...
