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deployment

CNCF, cloud native, NVIDIA, AI, Peritus microservices

Build and Orchestrate Agents Using Docker cagent 

Docker's cagent is a new open-source framework that simplifies the deployment of AI agents, allowing users to create everything from basic Hello World agents to complex multi-agent workflows using a declarative YAML ...
Siri Varma Vegiraju | February 10, 2026 | agent capabilities, AI agents, AI applications, automated workflows, composable workflows, deployment, Docker cagent, GraphQL, lightweight agents, Model Context Protocol (MCP), multi-agent processing, open-source framework, rapid development, technical integration, vendor-agnostic stack, YAML configuration
lambda, deployments, AWS Lambda FaaS Serverless Computing vs. Containers

Deploy Serverless Lambdas Confidently with Canary

Exploring Lambda function releases using CD pipelines and canary deployments, comparing deployment strategies, detailing best practices and offering insights on making releases safer and faster.  ...
Prajwal S. Nayak | March 8, 2025 | aws, Canary, CI/CD, deployment, Lambda
Octopus Deploy Streamlines Application Deployment on Kubernetes Clusters

Octopus Deploy Streamlines Application Deployment on Kubernetes Clusters

Octopus Deploy's CD platform works more easily with Kustomize, Helm or YAML files when deploying cloud-native apps on Kubernetes clusters ...
Mike Vizard | December 18, 2023 | CD, clusters, continuous deployment, deployment, kubernetes, Octopus Deploy
How Docker Changes Everything (Not Just Deployment)

How Docker Changes Everything (Not Just Deployment)

At their core, Docker containers are just a new way to deploy applications. But their implications for the software world extend much further than just application deployment. Here’s how Docker changes monitoring, ...
Christopher Tozzi | April 17, 2017 | containers, delivery chain, deployment, docker, microservices, monitoring, security, server, storage

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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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SUSE Rancher Prime Throws a Lasso Around VM and Container Management

March 26, 2026

Broadcom Extends Reach and Scope of Kubernetes Platform

March 24, 2026

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

April 1, 2026

Kubernetes Builds a Sandbox CRD for AI Agents

March 25, 2026

Istio Weaves ‘Future-Ready’ Service Mesh for AI 

March 27, 2026

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Report: Utilization of Kubernetes Infrastructure Remains Abysmal
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Report: Utilization of Kubernetes Infrastructure Remains Abysmal

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Intruder Adds Container Image Scanning to Cloud Security Platform

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How AI Is Transforming Cloud-Native Identity and Access Management
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How AI Is Transforming Cloud-Native Identity and Access Management

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AI in CI/CD: Where Are You Really?

Step 1 of 7

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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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