Operations | Monitoring | ITSM | DevOps | Cloud

New Relic has established itself as a top observability platform with full-stack monitoring. Unifying all telemetry data — metrics, events, logs, and traces — into one platform delivers deep performance insights and enables faster troubleshooting without juggling multiple tools. Also, New Relic prioritizes developers with tools like CodeStream, integrating error details and telemetry directly into the IDE.

New Relic has established itself as a top observability platform with full-stack monitoring. Unifying all telemetry data — metrics, events, logs, and traces — into one platform delivers deep performance insights and enables faster troubleshooting without juggling multiple tools. Also, New Relic prioritizes developers with tools like CodeStream, integrating error details and telemetry directly into the IDE.

When building robust, maintainable, and scalable Java applications, logging plays an essential role in debugging, monitoring, and ensuring smooth performance. Two of the most widely used logging frameworks in the Java ecosystem are SLF4J and Log4j. While both serve similar purposes, they offer different approaches and features, making it important to understand their differences before making a choice.

When building modern.NET applications, logging is one of those things you don’t want to get wrong. Serilog steps in as a popular logging framework that has earned its spot as a go-to tool for developers. Why? Because it’s flexible, versatile, and does an awesome job of giving you clear insights into your app's behavior. But what exactly is Serilog?

As technology advances at lightning speed, more and more businesses are turning to the cloud to boost growth, improve efficiency, and stay ahead of the competition. However creating a cloud strategy that matches your business goals, budget, and security needs can be tricky. It’s not just about switching to the cloud—it’s about using it wisely to get the most out of it.

You’re well on your way to becoming more reliable. You’ve added your services, found and fixed some Detected Risks, and run your first set of reliability tests. However, some of your tests returned as “Failed.” Not to worry: this isn’t a reflection of you or your engineering skills but rather an opportunity to learn more about how your systems work and, more importantly, how to make them more resilient.

For engineering leaders and technology decision-makers, CI/CD metrics have always been more than just operational measurements – they’re direct indicators of developer experience and team productivity. Every failed build, slow pipeline, or delayed deployment directly impacts your developers’ ability to deliver value.

In this third and final part of the series, I’ll provide some tips on how to set up your roadmap and effectively demonstrate compliance without overburdening your teams. If you’re just joining the fun now, in our two previous editions we covered who NIS2 applies to and what requirements it sets out. Be sure to have a look at them if you need any additional context.

Cybersecurity threats continue to grow in sophistication and frequency, making robust network security an essential priority for organizations of all sizes. By adopting a structured three-step approach – Identifying who is entering your network, Protecting key assets, and Maintaining good cyber hygiene – businesses can build a resilient defense strategy.

It’s a fast-paced digital landscape out there. So, building a reliable platform for your customers is crucial. They need assurance that your platform won’t be plagued by bugs, downtime, or outages, ensuring business continuity. This isn’t the stuff of traditional manual testing and quality assurance. Instead, you’ll want to empower your developers and QA teams with solid cloud testing tools.