Cache is king for speedy data retrieval. So if you’re interested in how Elasticsearch leverages various caches to ensure you are retrieving data as fast as possible, buckle up for the next 15 minutes and read through this post. This blog will shed some light on various caching features of Elasticsearch that help you to retrieve data faster after initial data accesses.
Your logs, metrics, security, and trace data are all invaluable to you. They are mission critical for your observability and security needs. As your IT infrastructure grows and keeps generating more and more data, your data volumes and data storage needs go up accordingly. It can quickly become cost-prohibitive to indefinitely store all of it on your hottest machines.
Today, I’m happy to share more about our partnership and commitment to our users that they will have the best possible experience of both Elasticsearch and Grafana, across the full breadth of Elasticsearch functionality, with dedicated engineering from both Grafana Labs and Elastic. Through joint development of the official Grafana Elasticsearch plugin users can combine the benefits of Grafana’s visualization platform with the full capabilities of Elasticsearch.
Splunk is a fantastic platform for ingesting, storing, searching and analysing data from logs, metrics and traces from a massive variety of sources. But does that mean we should ignore all of that data that doesn’t fall into these categories, like image and video data for example? Of course not!
We are excited to bring you a number of updates for using Elastic Cloud (Elasticsearch managed service) in the AWS Marketplace.
The idea of uncovering the root cause of a problem has a universal appeal. The systems we are dealing with on a daily basis are complex. When an issue occurs, we naturally opt to resolve the deeper underlying problem rather than settle for treating the symptoms or the downstream effects.
For the 7.10 release of Elastic Workplace Search, we highlighted some of the new analytics logging capabilities and took you through a short walkthrough of some sample analysis scenarios. With the 7.11 release we introduced analytics fields, which open up new possibilities for exploring query and click data with helpful dashboards and visualizations.
We're excited to announce that autoscaling is now available on Elastic Cloud. In our initial release, autoscaling monitors the storage utilization of your Elasticsearch data nodes and the available memory capacity for your machine learning jobs.
Like many other industries, contact centers are increasingly relying on employees working from home. The WFH trend poses new challenges, but it also surfaces issues that were largely ignored before. This article explains how holistic monitoring with Splunk Contact Center Analytics and uberAgent help drive exceptional customer service.
