Operations | Monitoring | ITSM | DevOps | Cloud

civo

Why London's tech community should care about AI, cloud and digital sovereignty in 2026

Aug 24, 2026 By Debora Tonet In Civo
London has spent decades establishing itself as one of the world’s major technology hubs. Its strength comes from the concentration of AI and technology startups, financial services and fintech, highly regulated industries, universities and research institutions, international businesses and technology companies, alongside a large community of developers and engineers.
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jfrog

Fly Graduates: Agentic Repository Experience Lands in the JFrog Platform

Aug 24, 2026 By CTO Office In JFrog
The way software gets built is changing faster than at any point in the last decade, and the software supply chain has to keep up. A year ago at swampUp, we introduced JFrog Fly: the first agentic repository, serving as a fast, AI-native environment to build what a modern, agentic developer workflow could look like, unconstrained by the shape of the enterprise stack. Today, we’re bringing what we learned back home.
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Making AI (net)work: tips for a successful AI-integrated network by Jason Gintert | AIFNL

Aug 24, 2026 By Selector In Selector
AI in network operations has moved past the demo. In some shops it's already cutting detection time and clearing the alert noise that used to bury the engineering team. In others, a promising rollout has quietly stalled the moment it met production. That difference between the two rarely comes down to the model, it comes down to how the AI gets integrated into the network and most importantly, the team around it.
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Built to amplify: how Lumen is rethinking teams and technology in the AI era by Greg Freeman | AIFNL

Aug 24, 2026 By Selector In Selector
Last year, Lumen shared its AIOps roadmap. This year: two updates. First, how Lumen's thinking on AI-era org design has shifted — including why the instinct to cut junior headcount is a trap, and what sustainable team structures look like instead. Second, what Lumen built as a result: a single AI core (AskGreg) extended into a customer-facing email agent (NORA), a chatbot, and an in-progress voice agent — all leveraging the same modular platform. Live video demos show the system diagnosing network problems from alarm data and driving real-time network decisions. The closing thesis ties it together.
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tigera

AI Red Team Agents Automate Attacks on your AI Agents. Runtime Policies Automate their Defense.

Aug 24, 2026 By Alister Baroi In Tigera
The AI red teaming market grew up fast this year. OpenAI bought Promptfoo, Cisco and Microsoft shipped automated attack suites, and a seed-stage startup publicly compromised 50 of 55 live customer service bots. These platforms find real problems at a scale no human team can match. But when you read the findings closely, a pattern emerges: agents talked into refunds, transfers, and data leaks they had standing authority to perform. Patching the prompt fixes one phrasing until the next model update.
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Build your own Bits Agent with Datadog Bits Agent Builder

Aug 24, 2026 By Datadog In Datadog
Datadog Bits Agent Builder lets you build AI agents that use your observability data to automate operational tasks. In this walkthrough, see how to build an agent that analyzes monitor and alert activity, identifies patterns, and provides actionable recommendations to improve your monitoring strategy. With Bits Agent Builder, you can give agents access to Datadog data and tools, customize their instructions and models, and run them automatically to continuously analyze and act on your environment.
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auvik

Why AI Adoption Fails Without Operational Maturity First

Aug 24, 2026 By Amanda Doucette-Lachapelle In Auvik
Most MSPs are already experimenting with AI in some form, and every vendor at every conference has an AI for MSPs pitch ready. Few have stopped to check whether their own operations are solid enough to scale. Our 2026 IT Trends Report found that three-quarters of IT leaders believe they have an AI policy, while fewer than half of help desk staff agree. That’s the real risk: AI doesn’t fix drift, unclear ownership, or gaps between what’s documented and what’s actually happening.
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AI speeds up delivery. Here's how IT leaders manage the risk when AI-generated code hits production.

Aug 24, 2026 By Redgate Software In Redgate
AI can accelerate speed to market, but for IT leaders it also raises a harder question: can you prove how an AI-generated change reached production? Chris Yates (SVP, Managing Director of Data & Architecture, Republic Bank) explains how his team builds a full evidence trail for every change, using version-controlled deployment tooling like Redgate Flyway Enterprise, so governance becomes a guardrail rather than a brake on speed.
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