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shift-left

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
Security Tool Sprawl: The New Breach Vector for Cloud Native

Security Tool Sprawl: The New Breach Vector for Cloud Native

“More is better” has always been a dangerous assumption in tech. In security, it’s downright reckless. Across the cloud-native ecosystem, organizations are drowning in their own defenses: dozens of overlapping tools, agents, ...
Alan Shimel | September 15, 2025 | cloud native, kubernetes, security, shift-left, tool sprawl
4 Reasons to Shift Day 2 Operations Left With Kubernetes

4 Reasons to Shift Day 2 Operations Left With Kubernetes

Rapid application growth and increased production deployments at scale have pushed many enterprises to maintain a focus not just on the application development life cycle but also on ‘Day 2’ operations and ...
Michael Cade | June 3, 2021 | kubernetes, observability, SDLC, shift-left, software development
containers Lacework zero-trust backup data recovery Red Hat Kubernetes security

What Will It Take to Shift Kubernetes Security Left?

Considering Kubernetes security must come earlier in the development journey Interest in Kubernetes has skyrocketed. A recent CNCF study found 84% of companies run containers in production, and 78% are using Kubernetes ...
Bill Doerrfeld | October 30, 2020 | containers, developers, kubernetes, security, shift-left
GitOps policy-as-code security KubeCon TriggerMesh serverless computing

Shift-Left Security is About Empowerment, Not Encroachment

Containers have changed the security conversation in many organizations There are many reasons why containers have become popular in recent years. For one, they help developers maintain consistency across platforms and through ...
Udi Nachmany | May 2, 2019 | application security, containers, developers, kubernetes, open source, security, shift-left

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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

SUSE Rancher Prime Throws a Lasso Around VM and Container Management

March 26, 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

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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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