The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
The needs of observability workloads can sometimes be orthogonal to the needs of compliance workloads. Honeycomb is designed for software developers to quickly fix problems in production, where reducing 100% data completeness to 99.99% is acceptable to receive immediate answers. Compliance and audit workloads require 100% data completeness over much longer (or "infinite") time spans, and are content to give up query performance in return.
Kubernetes is the leading container orchestration platform and has developed into the backbone technology for many organizations’ modern applications and infrastructure. As an open source project, “K8s” is also one of the largest success stories to ever emanate from the Cloud Native Computing Foundation (CNCF). In short, Kubernetes has revolutionized the way organizations deploy, manage, and scale applications.
Just because your network is "UP," doesn't mean it’s working well! Network issues like choppy VoIP, jerky video calls, and network and application slowness issues can affect your business in drastic ways - which is why it’s important to know how to identify network issues for network performance troubleshooting. There are many problems that can affect network performance, and some of them are very complex to identify and understand.
In the complex and dynamic landscape of modern IT environments, the availability and smooth functioning of Citrix StoreFront are paramount. Citrix StoreFront is responsible for providing users with access to their virtual apps and desktops, but what ensures this seamless accessibility? Enter the critical role of XML broker services, and why monitoring them is an absolute necessity.
Performance monitoring is an essential practice in network monitoring. When something goes wrong with a device, be it a physical server, a network storage system, or a virtual switch, there are often signs or symptoms. These symptoms might display in various places, and they could be related to the CPU, to the hardware, or maybe bandwidth usage. Only by tracking them can you be aware of performance issues.
Application performance monitoring (APM) is much more than capturing and tracking errors and stack traces. Today’s cloud-based businesses deploy applications across various regions and even cloud providers. So, harnessing the power of metadata provided by the Elastic APM agents becomes more critical. Leveraging the metadata, including crucial information like cloud region, provider, and machine type, allows us to track costs across the application stack.
In the world of observability, having the right amount of data is key. For years Apica has led the way, utilizing synthetic monitoring to evaluate the performance of critical transactions and customer flows, ensuring businesses have important insight and lead time regarding potential issues.
