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canonical

Canonical announces fully Managed Kubeflow AI operations platform on the Microsoft Azure Marketplace

May 21, 2026 By Massimiliano Gori In Canonical
Canonical, the publisher of Ubuntu, today announced the general availability (GA) of Managed Kubeflow on the Microsoft Azure Marketplace. This solution enables AI teams to get a fully managed, production-ready MLOps platform in their own tenant. Upstream Kubeflow is a powerful tool for machine learning, but it remains notoriously challenging to deploy and maintain.
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canonical

Developing web apps with local LLM inference

May 21, 2026 By Abdelrahman Hosny In Canonical
I’ve yet to meet a developer that enjoys working with metered AI APIs. The need to pay for every API call in development works in direct opposition to the ethos of rapid iteration, and it’s easy for the costs to get out of hand. That’s why Canonical has created a different approach to building AI-powered applications; one where the model lives inside your app, not behind a pay-per-token HTTP call.
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sematext

Using AI to Instrument Applications with OpenTelemetry

May 21, 2026 By Sematext In Sematext
OpenTelemetry is one of the best things that’s happened to observability in the last decade. It’s open. It has SDKs for every language that matters. It’s vendor neutral. The OTel community has been doing the hard work of standardizing how applications emit telemetry, so that you, the engineer, don’t have to learn five different agent formats to monitor five different services.
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iOPEX

From AI Sprawl to Orchestration: Delivering Intelligence as a Service

May 21, 2026 By Sarang Tuteja , Regional Managing Director, Europe In iOPEX
Most enterprise AI deployments were never designed to coexist. They were designed to prove a point, respond to a board directive, or secure a budget. The result, two years into the generative AI cycle, is an expanding estate of disconnected models, fragmented pilots, and overlapping capabilities that collectively deliver far less value than the sum of their parts. HFS Research calls it "death by a thousand POCs". The more precise description is architectural negligence at an enterprise scale.
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Why Nearby Search Optimization Matters for Modern Dental Clinics

Why Nearby Search Optimization Matters for Modern Dental Clinics

May 21, 2026 By OpsMatters In OpsMatters
Picture this: it's Saturday night, someone cracks a tooth on a piece of hard candy, and the absolute last thing they're doing is flipping through a phonebook. They're on their phone within seconds, searching for help. If your practice doesn't appear in those results, someone else's does, and that's a patient you just lost without ever knowing it. According to recent data, 98% of consumers search online for nearby companies, which means showing up digitally isn't a nice-to-have anymore. It's your front door.
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AI Powered IT Operations & Autonomous Resilience | Full SolarWinds Day Q2 2026 Event Replay

May 20, 2026 By solarwindsinc In SolarWinds
Watch the full SolarWinds Day 2026 event on-demand and discover how AI is transforming IT operations, observability, and incident response. In this exclusive event, SolarWinds CEO Sudhakar Ramakrishna and product leaders unveil the company’s vision for Autonomous Operational Resilience—powered by AI, automation, and unified visibility across hybrid and multi-cloud environments.
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datadog

How we made a SQL query optimization agent 59% more accurate using autoresearch and LLM Observability

May 20, 2026 By Datadog In Datadog
Without experiment infrastructure to help you test your LLM applications, every research session starts with the same questions: What have we tried previously? What were the numbers? Which prompt version produced that result? Why did we discard that approach? The answers live in scattered notes, terminal history, and half-remembered conversations. Each handoff between sessions loses context. In practice, iteration can slow down as teams get bogged down in testing and analysis.
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