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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

upsun

The reproduction problem: why you can't recreate the investigative gap

Apr 6, 2026 By Upsun In Upsun
In the modern dev stack, we have mastered the art of the deploy. We have CI/CD pipelines that ship code in minutes and observability dashboards that track every millisecond of latency. Yet, when a P0 incident strikes, the most common phrase in Slack isn’t a solution; it’s "I can’t reproduce this locally." This is the Reproduction Gap. Most engineering teams are world-class at building and monitoring, but they are remarkably fragile at recreating runtime behaviour.
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smikar

Microsoft 365 Departed User Archiving: The Complete Guide for Enterprise IT

Apr 6, 2026 By Mark In SmiKar Software
When an employee leaves your organisation, a clock starts ticking. Microsoft begins deleting their data — OneDrive files, Exchange Online emails, Teams conversations — within days of their account being disabled. For most large enterprises this is happening continuously, quietly, and without IT teams necessarily knowing until someone asks for data that no longer exists.
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cloudzero

How Will We Hold AI Accountable For Risky Investments?

Apr 6, 2026 By Erik Peterson In CloudZero
The word “Trillion” never fails to set the tech world on fire. Foundation Capital’s Jaya Gupta and Ashu Garg are two of the most recent firestarters. Late in December, they co-wrote “AI’s trillion-dollar opportunity: Context graphs,” outlining how AI will transition from organizational knowledge to organizational comprehension.
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cloudzero

Cloud Cost Optimization Framework: Build Your FinOps Practice (2026)

Apr 6, 2026 By Lyne Carolyne In CloudZero
Quick answer: A cloud cost optimization framework is a structured, repeatable system for managing cloud spend across people, processes, and tools. It defines how teams gain cost visibility, allocate spend to the right owners, optimize resources and rates, and measure whether spend is generating business value. The FinOps Foundation organizes this around three phases: Inform, Optimize, and Operate — and the Crawl, Walk, Run maturity model maps directly to how organizations progress through them.
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harness

AI Demos Are Easy. Enterprise AI Is Not. | Harness Blog

Apr 6, 2026 By Shubham Jindal In Harness
‍Why 90% of AI prototypes never make it to production, and what to do about it. Every week, someone on my team shows me a demo that looks incredible. An agent that writes deployment pipelines. A chatbot that triages incidents. A copilot that generates test cases from Jira tickets. The demo takes 20 minutes. The audience claps. Everyone leaves convinced we're six weeks from shipping it. We're not.
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harness

Ansible vs Terraform Explained: Key Differences for Modern Infrastructure Automation | Harness Blog

Apr 6, 2026 By Mrinalini Sugosh In Harness
If DevOps teams mix up the roles of Ansible and Terraform, deployment pipelines can become unreliable. Manual handoffs slow down changes, and audits may find gaps where responsibilities overlap. Each tool solves different problems, so using them correctly avoids delays and compliance risks. Are you dealing with scattered provisioning and configuration workflows?
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harness

AI for GitOps: Tame your Argo Sprawl | Harness Blog

Apr 6, 2026 By Eric Minick In Harness
Innovation is moving faster than ever, but software delivery has become the ultimate chokepoint. While AI coding assistants have flooded our repositories with an unprecedented volume of code, the teams responsible for actually delivering that code, our Platform and DevOps engineers, are often left drowning in manual toil. If you’re managing Argo CD at an enterprise scale, you’re painfully familiar with the "Day 2" reality.
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End to End Reliability for all your Workloads

Apr 6, 2026 By Datadog In Datadog
Delivering great products to your customers requires a mix of evolution and consistency. To really land with users your product has to be ready to adapt and scale, prioritizing across a mix of customer and business needs. Join experts in reliability, systems engineering, and DevOps as they share real-world examples, true stories of pitfalls, and astounding impact from the experiments they have run. Learn how experienced practitioners handle failure, adapt to scale, and bridge gaps between teams to improve software performance and customer outcomes.
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