Operations | Monitoring | ITSM | DevOps | Cloud

Last week, I ordered a pizza on a food delivery app. And they promised the delivery in 30 minutes. Similarly, all digital services: Apps, websites, cloud platforms, etc, make promises about speed, uptime, and reliability. The difference is how they track and measure those promises. That’s where SLA, SLO, and SLI come in. These three metrics define what “reliable” actually means. They turn a vague claim like “99.9% uptime” into something you can measure, track, and act on.

New Relic probes in Harness Chaos Engineering let you automatically validate system performance against defined SLOs during chaos experiments, transforming subjective testing into objective, metrics-driven resilience validation. By querying New Relic metrics in real-time and comparing results against your success criteria, you can programmatically verify that your systems maintain acceptable performance levels even under failure conditions.

With increasing security threats and stringent compliance requirements, database code quality isn’t just a best practice; it’s a business imperative. Yet many organizations struggle to enforce their database development standards consistently across teams, leading to security vulnerabilities, potential data loss, and lengthy review cycles that slow down software delivery.

Every finance team knows this pain. The cloud bill continues to grow, but the numbers don’t quite add up. Engineering swears their usage reports are accurate. But when you ask, “Which product or customer drove last month’s 18% cost increase?” things go quiet. That silence usually means one thing. Inaccurate cost allocation. Native cloud cost allocation tools from AWS, Azure, and Google Cloud can help. However, they often stop at the average this or average that layer.

SaaS, AI, and technology spending today looks like a more intense version of how it was a decade ago when everyone first migrated to the cloud. The mentality was and, at some companies, still is to build build build and worry about controlling expenditures and optimizing costs later. We’re seeing astronomical amounts of money being raised by brand-new AI businesses that barely even existed a couple of years ago. More than $145 billion has been raised for U.S.

The speed and reliability of deploying backend and full-stack applications are usually a concern for development teams. Fortunately, Railway is a developer-friendly platform that allows you to deploy apps with limited configuration. It is also quick, easy to use, and has reasonable defaults. Now, imagine pairing that with CircleCI, one of the strongest continuous integration platforms available.

If you're anything like your peers, you probably blinked in April and found yourself a month away from Black Friday when you opened your eyes. Much like a shopper desperately scrambling to pull together gift lists for their loved ones, many engineering teams find themselves rushing to ensure their systems can handle the biggest shopping day of the year.

For a very long time now, IT leaders have relied on the “throw more bodies at it” strategy: when ticket volumes rise, headcount follows. That model no longer works. Hybrid work, SaaS sprawl, and cloud complexity have made human-only scaling unsustainable. The enterprises winning today aren’t scaling with headcount. They’re scaling with autonomous ITSM agents: AI-driven specialists that resolve tickets instantly, escalate only when needed, and keep operations running 24/7.

AI has created a paradigm shift in software development. AI-native development teams – from small startups to enterprises like Goldman Sachs and Google – are adopting agentic development tools like Cursor and Copilot to increase the speed of code generation to a pace we’ve never seen before. But with all this new code comes a big challenge: how do you manage all these potential new releases and get the right ones deployed?

Trust in Big Tech is eroding. Geopolitical tensions are rising. The only predictable thing about the cloud today is that it’s time to re-evaluate everything. At Civo Navigate London 2025, we pulled together a panel of industry experts to cut through the noise and finally define what digital sovereignty means for the UK.