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cloudzero

Why is AI so expensive? The real cost drivers of AI

Aug 14, 2026 By Doug Bonderud In CloudZero
AI is expensive because the model bill is only part of the cost. Three components set the floor: model subscriptions, per-token API pricing, and infrastructure. Three more make it move: adapting models to your business, catching and fixing errors, and rising energy and datacenter costs. Efficiency doesn't fix it, because cheaper AI gets used more, not less. Businesses are willing to spend on AI. Research from Deloitte found that in 2025, 85% of organizations increased their AI investments.
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No Custom Adapter: AI SRE Agent AURA Debugs Product Catalog in Dash0

Aug 14, 2026 By Mezmo In Mezmo
The platform shows you which service is failing and which paths it touches, and stops there. Point AURA at the same telemetry and the cause comes back too. Dash0 shows the product catalog service in a failed state across the selected window, with errors on the path from the frontend service.
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Kubernetes AI SRE Agent Finds a Crash Loop Nobody Asked About: AURA

Aug 14, 2026 By Mezmo In Mezmo
You ask for a routine health check and expect a clean baseline. What came back was a pod that had restarted 788 times, unrelated to the question. AURA is connected to a Kubernetes cluster and to Prometheus through read-only MCP servers, running as one coordinator with two specialized workers. The prompt is one sentence: check the health of the cluster, and confirm whether all the pods are running. What comes back is not a baseline. AURA names the state as CrashLoopBackOff and attaches the restart count to it.
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honeycomb

How I Support Humans in the AI Era

Aug 14, 2026 By Ileanell Perez In Honeycomb
When our company pushed everyone to start using AI tools, I thought about what it would mean for my team. As a remote company, we are already challenged by the lack of organic human connection. Every connection is planned and takes effort, and now, AI adds another layer. People now spend part of their day collaborating with a tool rather than with a person, which can take away from the time we spend learning from each other.
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bigpanda

Introducing the next generation of the BigPanda AI Incident Assistant

Aug 14, 2026 By Jason Walker In BigPanda
Effective incident response depends on having all of the context surrounding what’s happening. You have to understand your systems, services, architecture, and teams deeply enough to correctly interpret whatever alert just fired. Too often, that context doesn’t arrive packaged neatly in one place. Gathering and interpreting context correctly under time pressure is one of the most difficult parts of the job.
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Where AI Media Actually Slows Teams Down - And It Isn't Generation

Where AI Media Actually Slows Teams Down - And It Isn't Generation

Aug 14, 2026 By OpsMatters In OpsMatters
The constraint on AI-generated video and imagery inside most organisations is no longer the model. It is the review loop, the consistency of a set, and a cost model nobody agreed on in advance - and none of those three get solved by switching to a better generator. In short: budget for iteration rather than render time; build a reference library before the first deliverable; define what a project's generation allowance is up front; and evaluate models on how they respond to a single prompt edit rather than on peak output quality.
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From Log Line to Merged Fix: AI SRE Agent AURA with GitHub MCP

Aug 13, 2026 By Mezmo In Mezmo
Knowing why it broke is not the same as having it repaired. Point the agent at the repos behind the service and the change comes back as a pull request. A Govee integration crash-loops under Home Assistant because the container cannot write to a directory it does not own. That much was already established: the previous homelab video stopped at the root cause on purpose, so the next pass could improve the agent's configuration first.
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Garbage in, garbage out: Splunk's Steve Flanders on why AI can't fix your bad telemetry

Aug 13, 2026 By Cortex | Engineering Operations Platform In Cortex
Cortex co-founder and CTO Ganesh Datta sits down with Steve Flanders, who leads AI transformation at Splunk and wrote the book on OpenTelemetry, to talk about why AI acceleration without strong observability foundations creates more problems than it solves.
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appsignal

How to Investigate a Production Incident Using an AI Agent (AppSignal MCP)

Aug 13, 2026 By Dejan Lukić In AppSignal
An incident has hit your product. I've been there: you're context-switching between hosting, CI/CD, codebase, AppSignal for monitoring, and whatever else your product depends on to minimize downtime and potential losses. You're trying to piece everything together, but it takes a lot of time, and that's something you don't have. AI agents connected to your tooling and your monitoring data via MCP free up that time for you.
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upsun

Shared context for AI coding agents beats better tooling

Aug 13, 2026 By Upsun In Upsun
The instinct when adopting AI coding agents is to optimize the agent. Compare models, tune prompts, argue about which editor has the better completion, and treat the agent as the thing that determines how fast the team moves. Then the commits go up and the product does not. The team building Upsun Dispatch took a different route, and the result is worth copying. They did not find a better agent.
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