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developers

kubernetes,

Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility

Kubernetes v1.36 (Spring 2026) introduces 70 enhancements, including major security hardening for the Kubelet API and the debut of Workload-Aware Scheduling (WAS) for AI/ML. This release focuses on fine-grained resource health, stable ...
Adrian Bridgwater | April 22, 2026 | AI/ML Infrastructure, CI/CD, cloud native security, cloud-native applications, Cluster Hardening, container security, containers, CSI Token Redaction, developers, Distributed Training, DRA, Dynamic Resource Allocation, External Token Signing, Gang Scheduling, K8s v1.36, Kubelet API Authorization, kubernetes, Kubernetes Enhancements 2026., Kubernetes v1.36, microservices, Node Logs, open source, PodGroup API, Resource Health Status, storage, Volume Group Snapshots, WAS, workload-aware scheduling
tools, open source, Red Hat, tools, SUSE, tools, tool portfolio, tools Kubernetes

AWS Lambda Managed Instances Offer Specialized Compute Configurations 

AWS Lambda Managed Instances bring Lambda’s operational simplicity to EC2, enabling specialized compute options, cost efficiency, and predictable scaling ...
Adrian Bridgwater | December 10, 2025 | aws, AWS cloud engineering tools, AWS compute services, AWS Graviton4, AWS Lambda, AWS Lambda Managed Instances, AWS operational simplicity, cloud cost optimization, cloud native, cloud scalability, cloud services, compute-optimized instances, developers, EC2 specialized compute, GPU accelerated computing, Lambda compute configurations, Lambda infrastructure automation, Lambda steady-state workloads, memory-optimized instances, parallel request processing, pay-per-use compute, serverless compute, serverless vs EC2, storage-optimized instances, VPC configuration Lambda
Docker, AI, GenAI, Kubernetes, docker, ai, cloud-native AI Carbon Relay

Docker Extends Reach to Streamline Building of AI Agents

Docker. Inc. today extended its Docker Compose tool for creating container applications to include an ability to now also define architectures for artificial intelligence (AI) agents using YAML files ...
Mike Vizard | July 10, 2025 | agents, AI, applications, developers, docker
news

Docker, Inc. Makes Invoking LLMs Simpler for Application Developers

Docker Inc. this week added an ability to make it possible for application developers using its tools to build cloud-native applications to run large language models (LLMs) on their local machines. Available ...
Mike Vizard | April 11, 2025 | cloud-native apps, developers, docker, LLMs
containers Buoyant Docker

Best of 2024: Six Reasons to Consider Dev Containers

Here are six reasons to consider dev containers, and why the advantages currently outweigh the drawbacks enterprises currently face ...
Kyle Carberry | December 30, 2024 | containers, dev containers, developers, docker, IDE, IDP
kubernetes, Kubiya

Autonomous Ops Ahoy! Captain Kubernetes Steers Through Blustery Clusters 

AI-driven DevOps solutions company Kubiya has released Captain Kubernetes, an AI teammate for autonomous Kubernetes operations that simplifies Kubernetes management with natural language interaction and autonomous, self-healing capabilities.  ...
Adrian Bridgwater | November 14, 2024 | application development, cloud-native applications, cluster management, cncf, containers, developers, devops, kubernetes, Kubernetes clusters
developers, application, app developers, containers,

Docker Survey Surfaces Complex Application Development Landscape

A newly-published survey of app developers suggests that the lines between various architectures relied on to build applications are continuing to blur, and existing approaches will need to continue to evolve ...
Mike Vizard | June 11, 2024 | app developers, application development, containers, developers, open source software, software engineering
PaaS, Salesforce, Platform, strategy,

Platform as a Product 101

Adopting a platform as a product strategy can drive innovation, foster collaboration and unlock new revenue streams for your business ...
Jake Beck | June 4, 2024 | developers, platform, Product, strategy
docksec, devsecops, NVIDIA NIM, developers, AI, GenAI, cloud native developers Torc Trend Micro Advances DevSecOps via Kubernetes

NVIDIA Leverages Containers to Encapsulate AI Inference Models

Using NVIDIA NIM - essentially AI in a box - developers now have the ability to easily and quickly build GenAI applications for copilots, chatbots and more ...
Mike Vizard | June 3, 2024 | AI, chatbots, containers, copilots, developers, digital biology, GenAI, Nvidia
containers Buoyant Docker

6 Reasons to Consider Dev Containers

Here are six reasons to consider dev containers, and why the advantages currently outweigh the drawbacks enterprises currently face ...
Kyle Carberry | March 8, 2024 | containers, dev containers, developers, docker, IDE, IDP
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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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MOST READ

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

April 1, 2026

Istio Weaves ‘Future-Ready’ Service Mesh for AI 

March 27, 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

Zero Networks Tool Visually Maps Connections Within a Kubernetes Cluster

March 27, 2026

RECENT POSTS

Configuring NVIDIA NeMo Agent Toolkit With Docker Model Runner 
Contributed Content Docker Observability Social - Facebook Social - LinkedIn Social - X Topics 

Configuring NVIDIA NeMo Agent Toolkit With Docker Model Runner 

April 24, 2026 Siri Varma Vegiraju 0
Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility
Cloud-Native Development Features Kubernetes News Social - Facebook Social - LinkedIn Social - X Topics 

Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility

April 22, 2026 Adrian Bridgwater 0
Dockerfile Practices are a DevOps Tax Before They are a Security Concern 
Contributed Content Docker Social - Facebook Social - LinkedIn Social - X Topics 

Dockerfile Practices are a DevOps Tax Before They are a Security Concern 

April 22, 2026 Saqib Jan 0
Report: Utilization of Kubernetes Infrastructure Remains Abysmal
Features Kubernetes in the Enterprise News Social - Facebook Social - LinkedIn Social - X 

Report: Utilization of Kubernetes Infrastructure Remains Abysmal

April 21, 2026 Mike Vizard 0
AI-driven Kubernetes in Action: Exploring AI-Assisted Kubernetes Operations 
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AI-driven Kubernetes in Action: Exploring AI-Assisted Kubernetes Operations 

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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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