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DevOps automation

SRE High-Level History of the Container Ecosystem

How SREs are Using AI to Transform Incident Response in the Real World 

Traditional incident response can’t keep pace with today’s complex, multi-cloud environments. Discover how AI-augmented SRE frameworks reduce MTTR, automate remediation, and strengthen reliability through a five-stage maturity model and modular architecture powered ...
Manvitha Potluri | November 5, 2025 | AI incident response, AI operations, AIOps, anomaly detection, autonomous remediation, cloud native, DevOps automation, event correlation, feedback-driven automation, intelligent observability, MTTR reduction, multi-cloud, observability, reliability engineering, root cause analysis, site reliability engineering, SLA compliance, SRE
metrics, agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

AI Agents Power Cloud-Native Transformation 

AI agents are redefining cloud-native development by embedding intelligence into DevOps workflows — optimizing pipelines, automating debugging, and accelerating release cycles. Experts like Promevo CTO John Pettit explain how these autonomous systems ...
Nathan Eddy | October 30, 2025 | AI agents, AI code reviewer, AI in DevOps, AI in software engineering, AI observability, AI-powered debugging, autonomous systems, CI/CD optimization, cloud infrastructure management, cloud-native transformation, DevOps automation, intelligent automation, platform engineering, shift left security, software delivery lifecycle (SDLC)
It Worked Last Tuesday: What Operators Teach Us About Platform Reality 

It Worked Last Tuesday: What Operators Teach Us About Platform Reality 

Infrastructure as code defined the cloud era, but Kubernetes operators are redefining how DevOps keeps systems reliable. Instead of “apply and hope,” operators continuously reconcile reality with intent — automating change, reducing ...
Avery Pennarun | October 21, 2025 | Atlanta, automation, CI/CD, cloud infrastructure, cloud native, cloud operations, CloudNativeCon 2025, cluster management, configuration management, continuous delivery, control loops, declarative infrastructure, DevOps automation, DevOps culture, GitOps, IaC, infrastructure as code, intent-based automation, KubeCon 2025, kubernetes, kubernetes best practices, Kubernetes controller, Kubernetes operators, Kubernetes reconciliation loop, microservices, observability, operational excellence, operator pattern, platform engineering, platform stability, reconciliation, resilience engineering, self-healing systems, service reliability, SRE

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You Can’t Just Layer AI on Your Observability Platform: Why Context is King
19 May 2026
You Can’t Just Layer AI on Your Observability Platform: Why Context is King
AppSec in 2026: Security at Machine Speed — or Not at All
18 May 2026
AppSec in 2026: Security at Machine Speed — or Not at All
Multi-Million-Dollar Lessons: What FinOps Maturity Actually Looks Like
14 May 2026
Multi-Million-Dollar Lessons: What FinOps Maturity Actually Looks Like
From Prompt to Exploit: How LLMs Are Changing API Attacks
13 May 2026
From Prompt to Exploit: How LLMs Are Changing API Attacks
Data is the Differentiator for Exposure Management
6 May 2026
Data is the Differentiator for Exposure Management
The Context Engine: Why Consolidation is the Natural Future of AppSec
5 May 2026
The Context Engine: Why Consolidation is the Natural Future of AppSec

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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

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Docker Inc. Allies with NanoCo to Deploy General-Purpose AI Agent Safely

April 1, 2026

Intruder Adds Container Image Scanning to Cloud Security Platform

April 14, 2026

Pedal to Bare-Metal Kubernetes, Nutanix Forges NKP Metal 

April 8, 2026

Survey: Few IT Teams Can Continuously Optimize Kubernetes Clusters

April 7, 2026

CleanStart Takes Aim at BusyBox to Harden Container Security

April 8, 2026

RECENT POSTS

Argo CD’s Rise and the Future of AI-Driven Deployments
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Argo CD’s Rise and the Future of AI-Driven Deployments

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Configuring NVIDIA NeMo Agent Toolkit With Docker Model Runner 
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Report: Utilization of Kubernetes Infrastructure Remains Abysmal

April 21, 2026 Mike Vizard 0
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AI in CI/CD: Where Are You Really?

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How would you describe your organization’s current level of AI adoption within your CI/CD pipeline?(Required)
How would you describe your current CI/CD environment?(Required)
In which areas of your software delivery pipeline are you currently using AI? (Select all that apply)(Required)
In which areas of your software delivery pipeline are you considering using AI? (Select all that apply)(Required)
Which AI use cases are delivering, or do you expect to deliver, measurable value in your CI/CD pipeline? (Select up to three)(Required)
What, if anything, is limiting your organization’s progress with AI in CI/CD? (Select up to three)(Required)
How do you expect your use of AI in CI/CD pipelines to change over the next 12–18 months?(Required)

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