Operations | Monitoring | ITSM | DevOps | Cloud

How companies in India are using Civo to improve their cloud costs and data sovereignty

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.

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.

Replacing AT&T Email-to-Text with OnPage's Critical Alerting

When AT&T officially shut down its email-to-text and text-to-email service on June 17, 2025, a quiet but essential part of many organizations’ communication workflows disappeared overnight. Messages that used to be sent to addresses like simply stopped delivering. For teams who relied on those alerts to reach the on-call clinician, engineer, technician, or service lead — this created an unexpected and urgent gap. This wasn’t just a convenience feature going away.

Announcing HAProxy Unified Gateway (beta)

The continuous shift toward containerization means businesses are migrating more complex, mission-critical workloads to Kubernetes. This trend necessitates traffic management solutions that support diverse protocols (such as TCP, UDP, HTTP, and gRPC) and sophisticated organizational architectures, while delivering exceptional performance and efficiency.

Dropbox vs iCloud: Which One to Choose in 2025

If you’re in the market for cloud storage, then Dropbox and iCloud may be high up on your list. If you’re an Apple user, you automatically get 5GB of free storage with your device. But the question is, should you upgrade your iCloud account, or go for another service like Dropbox? If you’re considering Dropbox vs iCloud, then this article is for you, as we will cover the following topics to help you make your decision.

Value Engineering Vs. Cost Cutting: The Value Paradox

For every CFO who’s ever asked, “Can we reduce engineering costs by 15%?” there’s a CTO quietly thinking, “But at what cost?” That tug-of-war plays out inside most SaaS companies. Finance wants to tighten budgets to protect margins, while engineering and product teams push for the resources to build, test, and innovate faster. The truth is, the teams that spend most efficiently — not necessarily the least — drive the highest returns.

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.

Exploring why PostgreSQL 18 put asynchronous I/O in your database

For years, PostgreSQL relied on synchronous I/O, meaning that when the database needed data from disk, each read operation was a blocking system call. The database process would therefore pause and wait for the data retrieval before moving to the next task. Synchronous I/O works well for local storage, but our database needs have changed drastically since then, resulting in this architecture creating significant bottlenecks when storage has higher latency.