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FinOps

Kubernetes cost cloud Day 2

Build Cost Awareness Into Your Kubernetes IDP 

How platform teams can make cost efficiency a natural outcome of following the golden path — not a billing surprise discovered three weeks after deployment ...
Sandeep Bharadwaj Mannapur | March 27, 2026 | Cost Visibility, FinOps, Golden Path, internal developer platform, kubernetes, platform engineering, shift-left
KubeCon, cloud native, ai, cloud-native,

Pod Requests Are the Input to Every Kubernetes Cost Control Loop

Pod CPU and memory requests drive Kubernetes scheduling, autoscaling and cost allocation. Learn why rightsizing them improves cost control ...
Rafael Brito | March 17, 2026 | cloud native, Cost Optimization, FinOps, kubernetes, platform engineering
SRE, autoscaling, Tailscale, Kubernetes, argo cd, Kubernetes v1.33,  AI, Nelm, Kubernetes, architecture, , architecture, Rackspace, GPUs, Kubernetes, Solo.io Kubernetes cloud foundry keptn cloud-native automation

The Efficiency Era: How Kubernetes v1.35 Finally Solves the “Restart” Headache 

Kubernetes v1.35 introduces in-place resource resizing, revolutionizing how stateful workloads are managed. Discover the benefits of dynamic resource allocation, traffic distribution, and the improvements that enhance operational efficiency for platform engineers ...
Pavan Madduri | March 3, 2026 | AI/ML workloads, cloud costs, Dynamic Resource Allocation, efficiency era, FinOps, immutability, Kubernetes architecture, Kubernetes enhancements, Kubernetes v1.35, Openshift, operational efficiency, resource resizing, self-healing infrastructure, Stateful Workloads, system performance, traffic distribution, vertical scaling
IBM, kubernetes, finops, costs, Finout FinOps financial services Kublr

Cost Control for Kubernetes: Monitor, Right-Size, Govern

As Kubernetes moves from testbeds to production, managers are getting sticker shock from the bills a K8s deployment can incur. Whether hosted in-house or on a cloud provider, who knew cloud nativity ...
Joab Jackson | February 20, 2026 | cost control, devops, FinOps, kubernetes
CloudBolt, StormForge, automation, Solo.io eBPF Automation in Microservices Security

Machine Learning in Kubernetes: Why Trust, Not Tech, is Your Biggest Hurdle 

Explore why trust—not technology—is the real barrier to ML-driven Kubernetes optimization and how intelligent automation builds confidence at scale ...
Yasmin Rajabi | October 24, 2025 | AI in DevOps, AI in infrastructure management, AI-driven automation, automated cloud governance, cloud cost optimization, cloud efficiency, container optimization, continuous optimization, developer trust, devops, FinOps, intelligent automation, KubeCon 2025, Kubernetes optimization, Kubernetes performance, Kubernetes resource management, Kubernetes trust gap, machine learning in Kubernetes, ML in cloud infrastructure, ML-based cost control, ML-powered rightsizing, platform engineering, platform reliability, predictive scaling
Kubernetes, DoiT, FinOps,

DoiT Acquires PerfectScale to Manage Kubernetes Platforms

DoiT this week revealed it has acquired PerfectScale to add an ability to govern and optimize deployments of Kubernetes environments ...
Mike Vizard | February 7, 2025 | FinOps, IT, kubernetes, SaaS
costs, FinOps, cloud costs, Kubernetes

Best of 2024: Rising Kubernetes Costs Highlight the Need for Better Monitoring and FinOps Optimization

The CNCF’s latest report suggests good news: Effective cost visibility tooling and FinOps practices do lead to cloud cost optimization ...
Ajay Tripathy | December 26, 2024 | cloud native, cncf, container costs, containers, FinOps, kubernetes, Kubernetes costs
IBM, kubernetes, finops, costs, Finout FinOps financial services Kublr

IBM Acquires Kubecost to Bring FinOps to Kubernetes Environments

IBM this week revealed it has acquired Kubecost, a provider of a cost monitoring and optimization platform designed specifically for Kubernetes environments ...
Mike Vizard | September 19, 2024 | costs, FinOps, kubernetes
NTT Data VP: Cloud-Native Adoption Starts at the Top

NTT Data VP: Cloud-Native Adoption Starts at the Top

It's a good idea to approach cloud adoption and modernization as a strategic business enabler, rather than a technological or cost reduction asset.  ...
Adrian Bridgwater | June 7, 2024 | application architecture, cloud strategy, FinOps, NTT Data
costs, FinOps, cloud costs, Kubernetes

Rising Kubernetes Costs Highlight the Need for Better Monitoring and FinOps Optimization

The CNCF’s latest report suggests good news: Effective cost visibility tooling and FinOps practices do lead to cloud cost optimization ...
Ajay Tripathy | May 10, 2024 | cloud native, cncf, container costs, containers, FinOps, kubernetes, Kubernetes costs
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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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Press Releases

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

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

Survey: Few IT Teams Can Continuously Optimize Kubernetes Clusters

April 7, 2026

RECENT POSTS

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

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

April 27, 2026 Mike Vizard 0
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
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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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