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.

Many articles that you may find on the web discuss the importance of reducing Azure costs by identifying and removing unused resources. Still, they often fall short of providing practical methods to achieve this. However, Turbo360 has introduced a new feature that simplifies identifying idle or unattached Azure VM disks, eliminating the need for complex queries or PowerShell scripts.

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.

If you deploy container-based services in Kubernetes, chances are you’re also using infrastructure-as-code to help automate the provisioning and maintenance of the cloud environments where your applications will run. Up until recently, Terraform was “the name” in infrastructure-as-code.

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.

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.

Imagine your network as a complex orchestra. A harmonious interplay of various instruments—applications, servers, devices, firewalls, and more—creates the symphony of efficient data flow that keeps your business operations running smoothly. But just like a conductor needs a keen ear to identify even minor imbalances within the orchestra, you need a way to assess and audit the health of each network component.

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.

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.