Minifying your CSS helps improve your website performance. But as developers, we don’t really talk about minifying CSS anymore. Why? The TL;DR is that the delivery and optimization of CSS have both been improved with modern tech stacks, making it practically a non-issue. The efficient and performant delivery of CSS is largely solved by HTTP/2 and modern compression algorithms, whilst modern front end frameworks take care of the boring optimization jobs such as code-splitting and minification.

With the possibilities for increased productivity, reduced costs, and improved customer experiences, organizations are embracing automation across multiple areas of their operational activities. However, navigating the complexities of automation requires a structured approach. This is where frameworks such as Resolve Systems’ Automation Capability Framework and the TM Forum Automation Maturity Model come into play.

Mitigating the risk of operational failure is top of mind—and a top budget priority—for executives. A single unplanned event can have a disruptive effect across the organization, an outcome management teams work hard to avoid. For the New York Stock Exchange (NYSE), operational resilience is critical given the role it plays in the global economy and capital flows.

KubeCon Europe 2024 in Paris was the biggest event of the Cloud Native Computing Foundation (CNCF) to date. With over 12,000 participants, it was a monumental event, setting the stage for the latest trends and developments in cloud-native computing. As your loyal CNCF Ambassador, I’m here to share some of the important updates you don’t want to miss. I also invited fellow CNCF Ambassador Thomas Schuetz to join me with his own insights.

Monitoring tools are critical for DevOps, enabling them to quickly find and rectify performance issues. With the increasing popularity of Docker, it has become crucial that organizations can effectively monitor these containers. But, as monitoring Docker containers is particularly complex, developing a strategy and an appropriate monitoring system is not simple. However, this process can be streamlined by utilizing a Docker monitoring tool.

Splunk gives you amazing tools to analyze system data and make business-critical decisions, react to issues, and even proactively address future problems. And since it is so good at those things, it’s not surprising that there are myriad tools to help you reflexively analyze your own Splunk deployment.

When discussing reliability, we tend to focus on the things that we have control over: applications, virtual machine instances, deployment patterns, etc. But this ignores a significant and ever-growing part of nearly all modern software: dependencies. Dependencies are services that provide extra functionality for other services and applications. For instance, many websites depend on databases, caches, payment processors, and similar services in order to function.

As a cloud cost intelligence solution, we often get asked where we fit in the cloud cost universe — and whether or not we’re an alternative to CloudHealth. The short answer is: it depends. The landscape of cloud cost tools is busy, with lots of different solutions that take different approaches to helping companies optimize their cloud costs. To help answer this question, we thought we’d lay out the cloud cost landscape as we see it.

Modern monitoring systems depend heavily on ‘Alerting’ to reduce the Mean Time to Detect (MTTD) faulty systems. But, alerting hasn’t evolved to meet the demands of modern architectures. We’re changing that with Alert Studio.

When deploying an application using Kubernetes, you get used to all your resources being manageable by describing them to the Kubernetes API. Whether it’s deployments, secrets, configurations, or entire machines, everything exists as code somewhere. Introducing a cloud service into such an environment often means introducing additional ways to configure it, which can become cumbersome, given the rising number of cloud services modern applications depend on.