Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

As the Indian cloud market continues to grow, businesses are increasingly looking for ways to manage their cloud costs effectively while ensuring data sovereignty. At Civo, we've seen firsthand how our cloud and AI platform can help companies achieve these goals. In this blog, we'll explore how three of our customers in India - KubeNine, BeezLabs, and OpsMx - have leveraged Civo to improve their cloud costs and data sovereignty.

Cloud outage? Your flags should keep running. Harness Feature Management ensures seamless feature delivery with instant SDK fallback, local decisioning, and a globally distributed streaming architecture—no redeploys required. Over the past few weeks, the software industry has experienced multiple cloud outages that have caused widespread disruptions across hundreds of applications and services. When systems went down, the difference between chaos and continuity came down to architecture.

The AI Velocity Paradox is real. While teams are writing code faster than ever, they're hitting a wall downstream. Deployments are failing. Security vulnerabilities are slipping through. Manual toil is eating up whatever time developers saved with AI-assisted coding. The speed boost from one part of the software delivery lifecycle is being strangled by legacy processes in another. Harness is solving this the only way that works: by bringing intelligent AI deeper into the delivery process itself.

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.

If an agent only performs on a curated notebook, it is not production-ready. Real customers expect reliability across dozens of apps, strict compliance, and predictable costs. That is the daily reality for IT middle management. Recent research shows the gap between benchmark wins and real tasks.

Let’s break down why this matters, and how it can change the way you approach building and running applications. You want database power without getting bogged down in tooling and config. Most of your week should be building features, not hunting for connection strings or maintaining bespoke infra scripts. Developers tell us they just want to code and solve application problems, with minimal platform friction.

This blog is based on a presentation by Guillaume, Field Chief Technology Officer at Upsun, and Robert from Ilwiin Technology during the AI Action Summit. The original French presentation has been translated and edited for clarity and accuracy. The AI field is advancing significantly, presenting organizations with the question: Should they choose open-source or commercial AI models? This choice impacts everything from costs and data privacy to long-term business strategy.