The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Kubernetes has emerged as the de facto standard for container orchestration, with its ability to automate deployment, scaling, and management of containerized applications. However, even with the best practices and expertise, Kubernetes deployment can sometimes be a complex and challenging process. It involves multiple layers of infrastructure, including the application, Kubernetes cluster, nodes, network, and storage, and each layer can have its own set of issues and challenges.
Elastic Search 8.9 introduces hybrid search with Reciprocal Rank Fusion (RRF) to combine vector, keyword, and semantic techniques for better results. This release also brings performance improvements in vector search and ingestion with response times that are up to 30%+ faster. Users also have more ingestion options with the new SharePoint Online connector, which includes document-level security.
The latest versions of Elastic Observability’s most popular observability integrations now use the storage cost-efficient time series index mode for metrics by default. Kubernetes, Nginx, System, AWS, Azure, RabbitMQ, Redis, and more popular Elastic Observability integrations are time series data stream (TSDS) enabled integrations.
It’s been about 8 months since we first launched Cribl Search. For our early adopters, it’s been a game changer, and with each monthly release, we continue to innovate — expanding access to new datasets and adding new functionalities. If Crib Search is new to you, here is a quick recap. Cribl Search flips the observability data search paradigm on its head. You no longer have to collect, ingest, and index your data before you can search it.
Let’s face it: when it comes to Digital Experience monitoring, the customer is always the first thing organizations focus on. They are the ones who give the organization their reason to exist, and their satisfaction determines the organization’s future. The link between revenue and good Customer Experience is obvious, so it’s a hot topic of interest and often the top priority – as it probably should be.
As businesses embrace more cloud-native technologies and IT infrastructure becomes more dispersed, they must connect their business goals and end-user experience with the availability and performance of their IT infrastructure. This change necessitates infrastructure monitoring to assure compatibility with cloud environments, operating systems, storage, servers, virtualized systems, and other components.
The lack of proper insights can make diagnosing incidents difficult. Another factor that can contribute to this is agents having to switch between various tools to remediate user issues. The delay in ticket resolution and escalations drives up AHT and MTTR causing the service desks to struggle.
Understanding the impact of digital employee experience allows IT leaders to get a sense of the maturity of their organization, set goals and drive improvements based not on trial and error, but on clear evidence derived from organizational data. Let us now gain insights into DEX of the organization using Nexthink Experience Central.
