At STRABAG, we are using Elastic Cloud Enterprise (ECE) for two main use cases within our on-premises web applications. One to power different kinds of search and a second for operations where we ship more than 25,000 log entries per minute to Elastic from our load balancers. The ECE platform runs in an air-gapped environment, and we would still like to be able to use our corporate logins for the ECE platform.

We're happy to announce that we have just launched our improved integration for the Azure Event Hub, allowing DevOps & Security professionals to send log data for analysis easier than ever. This announcement comes as Microsoft’s Azure Event Hub reaches its highest global popularity as a data ingestion service. The integration ensures best-in-class performance across a variety of use cases using Azure.

Logs are an important part of troubleshooting and it’s critical to have them when you need them. When it comes to logging, Google Kubernetes Engine (GKE) is integrated with Google Cloud’s Logging service. But perhaps you’ve never investigated your GKE logs, or Cloud Logging? Here’s an overview of how logging works in GKE, and how to configure, find, and interact effectively with the GKE logs stored in Cloud Logging.

This post is the second in our series on system metrics where we cover: In the previous post, we went through some built-in tools and methods for identifying key metrics and values on your systems. In this post, we'll provide a tutorial on how to use Metricbeat to consolidate metrics, store and analyze them in the long term, and discuss some of the benefits of a centralized metric store.

We hosted our first ever virtual Elastic{ON} Gov Summit with one primary goal: recreate the collaboration and community-building we normally enjoy at our in-person Gov Summit in a new, virtual format. And we were humbled to be able to do just that. The event gathered more than 2,000 registered attendees from across government agencies and partners to collaborate while so many of us were social distancing across the nation.

Data visualisations allow users to organise and present log data in a practical, usable, and sensible manner. This tool in log management ensures that the data collected communicates real-time, actionable insights that will support timely and informed decision-making. Knowing which types of visualisation best suits a particular data set is critical in giving data visualisation optimal business value. Here is how to pick the right type of log data visualisation. Pie charts

Ten years ago NewRelic, DataDog, Splunk, Dynatrace and SolarWinds built tools we loved to use. They were easy to implement and solved problems quickly and efficiently. Each company was known primarily for a single, well-conceived product. NewRelic’s APM. Splunk’s log file analyzer. DataDog’s server monitor. SolarWinds’ network performance monitor. These companies were beloved by users during the 2000s. Fast forward to 2020 and the world is very different.

We are pleased to announce that all users can now benefit from having their stacks hosted on NVMe (Non-Volatile Memory Express) SSDs. NVMe is one of the newest high-performance networking technologies changing the landscape of scalable infrastructure and assisting in decreasing infrastructure costs on a revolutionary scale.