Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

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.