Operations | Monitoring | ITSM | DevOps | Cloud

AI-powered monitoring with Site24x7's Zia

Jul 8, 2026 By ManageEngine Site24x7 In Site24x7
In this video, you'll learn how to integrate Large Language Models (LLMs) with Site24x7 using Bring Your Own Key (BYOK), Zoho Key Services (ZKS), and Microsoft Azure OpenAI. Discover how Zia helps you analyze outages, understand performance issues, identify root causes, and get monitoring insights using simple natural-language queries. What you'll learn.
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elastic

The future of governing AI agents

Jul 8, 2026 By Marcus Jeffes In Elastic
How to build governance into autonomous security agents from the architecture up The industry has moved fast on capabilities. Agents now triage alerts, investigate endpoints, create detection rules, and enrich indicators, and they are even capable of performing most actions we as security operators can perform. The architecture patterns are maturing, as are the models, but governance is not keeping pace.
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Aiven

The Aiven MCP in Practice: From Dev Environment to App Deploy

Jul 8, 2026 By Tibs (Tony Ibbs) | In Aiven
I spend a good amount of my time deploying Aiven services for demos and examples. Traditionally the tools I reach for are: If I’m writing a program, I may also look to the Aiven API, perhaps using curl at the command line or in a shell script, or perhaps with direct HTTP requests in a Python program. The API is how the console and the CLI tool talk to Aiven, but I generally find that too low level to be comfortable, and I always have to look up how to pass in the Aiven user token.
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Co-founder & CEO of digna, Marcin Chudeusz

From Data Warehouses to AI: How Enterprise Data Quality Has Changed Over the Last 20 Years

Jul 8, 2026 By OpsMatters In OpsMatters
An interview with Marcin Chudeusz, co-founder and CEO of digna Two decades ago, enterprise data quality looked very different. Organizations were building centralized data warehouses, business intelligence projects revolved around structured reporting, and most data quality initiatives relied on thousands of manually created validation rules. The objective was simple: ensure the data entering reports was accurate enough for decision-making.
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Anthropic Warns Against AI While Building It Faster Than Anyone

Anthropic Warns Against AI While Building It Faster Than Anyone

Jul 8, 2026 By OpsMatters In OpsMatters
On June 4, 2026, Anthropic published a document unlike anything a major AI lab had put in writing before. Titled "When AI builds itself," and co-authored by Jack Clark (Anthropic's co-founder and head of policy) and Marina Favaro, who runs the Anthropic Institute, the piece argues that frontier AI development may need to slow down - or even stop - before humans lose the ability to control what comes next.
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manageengine

The invisible visitor: Why the internet is no longer just for humans

Jul 7, 2026 By Harsitha P In ManageEngine
"Every website was once designed for people. That assumption is beginning to change." For nearly three decades, the internet has worked in a predictable way. Whenever we wanted to know something, we searched for it, clicked through a few websites, compared information, and made a decision. Whether it was buying a new phone, planning a vacation, or researching software for work, businesses knew exactly how people behaved online.
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How do you run AI when your data can't leave the network?

Jul 7, 2026 By Civo In Civo
Highly classified environment. Strict compliance requirements. Data that can't leave the network. But still a real need for the competitive advantage AI delivers. Civo Director of Enterprise Cloud Solutions John Dietz addresses exactly that challenge and how Konstruct makes it possible to run Kubernetes, deploy your own models, and point Claude Code at your own internal private servers instead of public APIs.
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Introducing the BigPanda AI Incident Assistant

Jul 7, 2026 By BigPanda In BigPanda
AI incident assistant from BigPanda gives L2, L3, and SRE teams instant answers to resolve incidents faster without manual triage or tool-switching. IT teams lose critical minutes during incidents because context is scattered across Slack threads, bridge calls, monitoring tools, and historical tickets. The BigPanda AI Incident Assistant fixes that by surfacing relevant knowledge exactly when and where responders need it. It gives responders evidence-based resolution paths drawn from historical incidents and live system data, without leaving your workflows.
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