“Okay,” said Bryan Boreham, distinguished engineer at Grafana Labs, as he took to the stage at GopherCon 2023 in September. “Who loves algorithms?” A room full of software engineers raised their hands in response — and with that, Bryan kicked off his talk at the annual event dedicated to the Go open source programming language. GopherCon 2023, which took place in San Diego, Calif.

How does ITIL 4 define the event management practice? And what can we learn from it for our day-to-day monitoring tasks? Let’s find out.

It’s never easy when layoffs hit your organization. In addition to the personal impact of losing friends and coworkers from your team, those who remain are left trying to achieve the same business goals with less people and resources. Unfortunately, layoffs and restructuring have become a common part of business. But you’re not alone. Your partners (including Gremlin) are here to help you navigate your new reality.

In today’s fast-paced cloud environment, understanding the pricing model of some of the best cloud monitoring tools like Datadog is essential in optimizing costs. With several features and adaptable pricing, clarifying Datadog costs and aligning them with your organization’s operational needs is vital for fully harnessing this robust monitoring tool. This guide simplifies Datadog pricing, offering a clear overview of its cost structure.

Mainframes might seem like relics of a bygone era to many of us in 2024, but the truth, however, is far from that. Despite their reputation as ancient behemoths—and frequent targets of jokes—mainframes continue to be vital powerhouses driving the global economy. Their capability to process billions of transactions daily, including the majority of credit card transactions, underscores their enduring significance.

Today, almost 90% of businesses use highly advanced technologies to deliver the best performance and user experience. However, maintaining infrastructure performance at all times in today’s digital age is quite challenging without the right tools and practices. System failure, security incidents, and other issues can happen at any time of the hour and degrade your performance.

Observability is the ability to understand the internal workings of a system by measuring and tracking its external outputs. In technical terms, it entails collecting and examining data from numerous sources within a system to attain insights into its behavior, performance, and health. All organizations are now familiar with how essential observability is to ensure optimal performance and availability of their IT infrastructure.

Earlier this year, Mark Boost and Dinesh Majrekar had the chance to sit down with Solomon Hykes at Navigate North America 2024 to speak about his thoughts on the future of tech. Solomon is best known as the Founder, former Chief Technology Officer, and Chief Architect of Docker, and is currently the founder of Dagger, a programmable CI/CD engine that runs pipelines in containers, allowing development in various programming languages and execution across diverse environments.

As Kubernetes adoption continues to surge across various industries, the need for robust monitoring solutions is more critical than ever. Effective Kubernetes monitoring not only ensures the health and performance of your containerized applications but also provides valuable insights for troubleshooting and optimizing your infrastructure. However, Kubernetes's distributed and dynamic nature presents unique challenges regarding monitoring and observability.

In today's age of cloud services and SaaS platforms, continuous improvement isn't just a goal — it's a necessity. Here at Elastic, we're always on the lookout for ways to fine-tune our systems, be it our internal tools or the Elastic Cloud service. Our recent investigation in performance optimization within our Elastic Cloud QA environment, guided by Elastic Universal Profiling, is a great example of how we turn data into actionable insights.