Operations | Monitoring | ITSM | DevOps | Cloud

Going on-call for the first time can feel a bit overwhelming, but a little prep work makes it smooth and stress-free. This guide covers five things to set up before you start your first on-call shift. They help you stay on top of your schedule, get on-call notifications, and have a backup in place. By the end, you’ll be ready to handle your first on-call shift with confidence.

Data is the backbone of the modern economy, but if you don’t have control of the infrastructure, you don’t control the data. Historically, data sovereignty was a compliance checkbox, something for the legal team to handle. Today, it’s a strategic national priority. At Civo Navigate, we sat down with industry experts to unpack why India is now placing sovereignty at the centre of its digital strategies.

When I first started using AI (Cursor, to be more specific) for coding, I was very impressed to see how it could generate such high-quality code, and I understand why it's now one of the most widely used tools for software engineers. As I continued to use them more regularly, I realized they are far from perfect. Their effectiveness depends heavily on how they are used and the context in which they are applied.

From cloud on-ramps to virtual edge services, Megaport’s expansion into India from March 2026 will support modern network design in the market. India’s digital economy is growing at incredible speed. Cloud and AI adoption is accelerating, data volumes are scaling, and more businesses are designing architectures that extend well beyond a single data center or cloud region.

Last year, we collaborated with two design student teams from Loughborough University in the UK. These students were challenged to work on open source project briefs. Team 1 focused on non-code contributions, while Team 2’s brief was to create a unified documentation experience, giving them a chance to apply their design skills to real-world problems within the open source ecosystem.

TL;DR: Prometheus pays cardinality costs at write time (memory, index). ClickHouse pays at query time (aggregation memory). Neither is "better":they fail differently. Design your pipeline knowing which failure mode you're accepting. -- Every month, someone posts "just use ClickHouse for metrics" or "Prometheus can't handle scale." Both statements contain a kernel of truth wrapped in dangerous oversimplification.

Since Honeycomb started, it has had a weakness: too many choices. Every field, custom or standard, hundreds of them, all are free to group, filter, and visualize in dozens of ways. Which ones are interesting? Honeycomb exists to help people understand custom software. It doesn’t pretend to know what matters in your application. That’s an interpretive task, not programmatic. Hey, computers can do interpretation now!

Modern security operations face a growing architectural challenge: collect telemetry from everywhere, process it in real time, and route it to multiple platforms while maintaining data sovereignty, avoiding agent sprawl, and keeping costs under control. Single-model collection strategies force security teams to make compromises. Agent-only models create operational overhead and maintenance risk. Agentless-only approaches simplify operations but limit depth and flexibility.