Operations | Monitoring | ITSM | DevOps | Cloud

Redgate Software recognized as a Strong Performer in Gartner Peer Insights Voice of the Customer for Infrastructure Monitoring Software

We’re thrilled to share that Redgate Software has been recognized as a ‘Strong Performer’ in the 2025 Gartner Peer Insights Voice of the Customer for Infrastructure Monitoring Tools category with our Redgate Monitor solution. We believe this recognition is a reflection of the trust and feedback from the people who matter most: our customers.

Top DevOps Challenges in 2025 and How APM Solves Them

In 2025, DevOps continues to grow and change quickly, helping teams deliver software faster and more securely. But as systems become more complex with microservices, cloud platforms, and AI-driven tools, new challenges arise. Teams now need to balance speed with security, manage too many tools, control rising cloud costs, and still maintain high-quality software. This is where Application Performance Monitoring (APM) becomes essential.

What Is Synthetic Monitoring?

Synthetic Monitoring is a proactive approach to testing a website or web server to ensure that digital services stay available, responsive, and functional at all times. Instead of waiting for real users to encounter a problem, synthetic monitoring uses automated scripts to imitate user interaction, such as visiting pages, submitting forms, or performing transactions from multiple global locations.

Messaging Infrastructure Is Still in the Dark: The Observability Illusion Costing Millions

In today’s always-on digital world, even the best messaging platforms—like Apache Kafka and Apache ActiveMQ—can become blind spots that undermine resilience. This article exposes the “observability illusion” many organizations face, showing how limited visibility and manual processes lead to outages, high costs, and constant firefighting. Learn how meshIQ transforms reactive operations into proactive engineering through unified observability, automation, and self-service.

Making Observability AI-Native with the Logz.io MCP Server

Now available: Secure, real-time access to your observability data via Logz.io’s Model Context Protocol (MCP) Server. The Logz.io MCP Server brings your logs, metrics, and telemetry data into the Model Context Protocol (MCP), an emerging open standard that lets AI systems query real data securely and contextually, in real time. That means any MCP-compatible LLM, like Claude Desktop, Cursor, your own AI agent… can now connect directly to your Logz.io environment.

Getting Started with InfluxDB 3 Core: From Installation to First Query in 10 Minutes

Getting started with any database technology can be daunting, and nothing is ever as easy as a snap of the fingers. With InfluxDB 3, we’ve made it as painless as possible. If you want to do some testing, development, or exploration, you’ve read the title: you should be up and running in under 10 minutes with very little hassle.

How to Monitor AI Agents in Commerce Systems

Artificial intelligence (AI) isn’t just writing text or generating images anymore. It’s starting to make real-world decisions. Now, with agentic systems, we’re entering an era where AI models don’t just respond; they act autonomously, buying, booking, and negotiating on behalf of users. That may sound promising, but those of us in the trenches of reliability know that progress always comes with trade-offs. Make no mistake, this shift fundamentally changes how observability works.

Sync your Backstage catalog with Datadog IDP

Backstage is a popular open source framework for building internal developer portals (IDPs) used by organizations to aggregate service metadata and create a single source of truth for their software developers. However, data stored in the Backstage Software Catalog can quickly become siloed and inaccessible from monitoring tools such as Datadog.