Operations | Monitoring | ITSM | DevOps | Cloud

Install an AI SRE Agent in Kubernetes with AURA and Helm

Aug 6, 2026 By Mezmo In Mezmo
AURA does not have to live on your laptop. Install it into the cluster with Helm and it is still there the next time something breaks. AURA is a fully open source AI agent built specifically for SRE work. Rather than one general assistant, you configure workers: separate agent roles, each scoped to a job like inspecting the cluster.
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Free Open Source AI Agent for SRE and More: Why We Give AURA Away

Aug 6, 2026 By Mezmo In Mezmo
Wondering what the catch is on a free, vendor-backed agent? There is not one in the license. AURA stays Apache 2, fully capable, and free to run. If you are weighing an open source tool with a company behind it, the first question is what the catch is. You have seen the project that turns out to be open core, or that is quietly hindered in one key way. This is Mezmo's answer for AURA.
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Open Source AI Agent for SRE: Why AURA Is Free

Aug 6, 2026 By Mezmo In Mezmo
The most common question since we started 31 Days of AURA: how do you plan to make money? The short answer is the control plane, not the agent. Mezmo sells an enterprise-grade control plane for running large numbers of agents across large environments, where coordinating across environments, governance, access control, and the efficiency of preprocessing MCP data start to matter. If a hundred people run AURA and three or four of them need that, the model works. The more people running AI agents in production, the bigger the market for the tooling underneath them.
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gitkraken

Open Models Are Closing the Gap

Aug 6, 2026 By Chris Griffing In GitKraken
The frontier models have led the pack for a while now. It seems like the big players of Anthropic and OpenAI keep leapfrogging each other by a couple points in benchmark scores every other month. But, a trend we are starting to see is that open weight models are improving by leaps and bounds. They don’t hold the lead and probably won’t for a while, but the fact that open models are scaring the leaders is something to think about.
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ivanti

How to Build and Scale Unified Asset Intelligence for AI Success

Aug 6, 2026 By Cristiane Villar In Ivanti
Every IT leader has felt this tension: your organization has invested in AI, automation and digital operations, and yet outcomes still fall short of expectations. Even with the right tools and intent, you won’t be able to fully realize the value of your AI investments if they’re built on an unsteady foundation.
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cloudzero

AI isn't a black box. It's Pandora's Box.

Aug 6, 2026 By David Aponovich In CloudZero
When CFOs talk about AI budgets, they tend to describe it the same way: it’s a black box, offering little or no transparency. The bill arrives at the end of the month, it’s bigger than last month, and nobody can really explain why. Meanwhile, engineering keeps asking to raise the token budget. I think that framing undersells what’s actually happening out there. If the black box is the bill, the Pandora’s box is what you opened when you brought AI into the company.
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cloudzero

Generative AI ROI: benchmarks and how to prove it

Aug 6, 2026 By Lyne Carolyne In CloudZero
Generative AI ROI measures the financial return on generative AI investments relative to their total cost. Benchmarks diverge sharply: Google Cloud's 2025 study found 74% of enterprises see ROI within the first year, while MIT's NANDA initiative found 95% of pilots deliver no measurable P&L impact. The difference is not the AI. It is whether the organization can actually measure cost and outcome at the use case level.
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cloudzero

Shipped: Catch the S3 object-tag charge before it scales with you

Aug 6, 2026 By Kevin Lamb In CloudZero
There’s an S3 charge that stays invisible in a normal storage cost review. AWS bills S3 object tags per tag, per hour, so the cost scales with how many objects you have, not how much data you store. It gets its own line item, which is easy to miss when you’re scanning storage spend. It can sneak up on you. Tags get added in a dev environment to drive lifecycle rules, where object counts are small and the cost is nothing.
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civo

GPU Cloud for non-AI workloads: Rendering, simulation, and scientific computing

Aug 6, 2026 By Civo Team In Civo
The GPU cloud conversation over the last three years has been almost entirely captured by AI. Marketing pages talk about training, inference, and foundation models. Vendor announcements focus on which NVIDIA card fits which LLM. Reference customers are AI companies. The infrastructure decisions being made in the market are shaped by AI's specific requirements - high VRAM, fast interconnect, FP8 support, continuous utilization patterns.
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