Operations | Monitoring | ITSM | DevOps | Cloud

Devart Brings AI Agents Closer to Enterprise Data with New MCP Server Product Line

We are excited to announce the release of the brand new line of MCP Servers (Model Context Protocol), designed to connect AI assistants, AI agents, and large language models directly to enterprise databases and cloud business platforms. The release includes 19 specialized MCP Servers and the flagship Universal MCP Server, which enables AI access to virtually any data source through the ODBC standard.
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Multi-Cloud Monitoring And Why Status Pages Aren't Enough

Multi-cloud environments make outage detection harder. Relying on individual status pages from Amazon Web Services, Google Cloud Platform, and Microsoft Azure often leads to delayed, incomplete, or conflicting signals during incidents. This article explains how fragmented visibility impacts incident response, and how aggregating status across cloud and SaaS dependencies helps DevOps teams detect outages faster and respond with confidence.

The "Single Pane of Glass" Is Dead - What Network Teams Actually Need Is Intelligence

The infrastructure industry spent two decades chasing a single pane of glass. The future looks different: domain-expert AI platforms that reason deeply within their own data, connected through tool chaining when problems cross boundaries.

Why AI economics needs a financial control plane

Runtime guardrails and control towers govern AI activity — but without a financial control plane connecting spend to outcomes, enterprises can't tell which AI bets are worth it. Most enterprises can answer exactly one question about their AI rollout: what did we spend?

Generate test scripts from natural language with Grafana Assistant: introducing k6 Script Authoring

Performance testing is critical to ensure your applications stay reliable under load, but writing the scripts themselves often feels like a chore. Most engineers already know the scenario they want to test; the hard part is translating that intent into a working performance test. Even experienced developers who use k6 can lose time looking up syntax, configuring load stages and thresholds, or debugging boilerplate code before they can run a meaningful test.

Project and manage cloud spend with Datadog budget forecasting

Cloud and SaaS spending continues to grow across teams, services, and providers, changing too quickly for retrospective cost management workflows to keep up. Finance and engineering leaders often rely on last month’s reports or manually maintained spreadsheets, which don’t reflect current usage. As a result, teams lack context on how spend is trending and often discover budget overruns only after they’ve occurred.

SIEM alerts: everything you need to know

Let's walk through setting up SIEM (Security Information and Event Management) alerts to monitor security threats in applications. We will explain what SIEM alerts are, why they're relevant with regard to application security, and provide practical examples of common alerts a developer could implement. We will show how to configure simple alerts with Honeybadger Insights.

Closing the Evidence Gap

Compliance teams are entering a moment where the expectations placed on them far exceed the visibility tools they have available. AI-driven environments introduce new forms of variance, drift, and distributed decision-making that unfold across infrastructure, models, agents, and services. These patterns do not map cleanly to the evidence structures that compliance processes rely on.