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Elastic: Building search experiences with Elastic Enterprise Search in Elastic Cloud

Get your Elastic skillset up to speed and join Huage Chen, Solutions Architect at Elastic, for an Elastic seminar on how to build powerful search experiences with Elastic Enterprise Search. During this seminar, we'll give you the tools you need to get started with Elastic Enterprise Search - whether that's adding rich, relevant search to your website or applications using Elastic App Search or unifying all your workplace content in one search experience with Elastic Workplace Search.

Elastic: Best practices for managing logs, metrics, and APM with Elastic Cloud

Get your Elastic skill set up to speed with Mikkel Kidmose, Solutions Architect at Elastic. You'll learn how to manage logs, metrics, and APM on Elastic Cloud - the official managed Elasticsearch experience with powerful, out-of-the-box solutions such as Elastic Observability. By bringing your logs, metrics, and APM traces together at scale in a single stack, you'll be able to monitor and react to events happening anywhere in your environment.

Elastic Security 7.9: Empowering security practitioners

Elastic Security 7.9 delivers the first major milestone toward comprehensive endpoint security integrated directly into the Elastic Stack by introducing signatureless malware prevention and kernel-level data collection on the new Elastic Agent. Learn how to streamline analyst workflows with community-driven refinements, analyst interface enhancements, and a trove of newly supported data sources that equip practitioners to stop threats, wherever they're revealed.

Grafana: Running Prometheus-as-a-service with Grafana Metrics Enterprise

As the de facto open source monitoring technology for the cloud native world growing around Kubernetes, Prometheus has seen massive adoption in recent years. While there are clear advantages to using Prometheus in complex, distributed environments like Kubernetes, there are also well-documented challenges to adopting the technology at the enterprise level.

The best of the PowerShell Gallery, right in your PE Console

PowerShell DSC might be the new kid on the block when it comes to configuration management, but it's certainly not lacking in power. DSC resources offer unprecedented hooks into the Windows operating system and provide straightforward configuration functionality that will make your Unix coworkers green with envy. It's a shame it's not easier to use….

How we use the Grafana GitHub plugin to track outstanding pull requests

First of all, we’re pleased to announce the first release of the GitHub data source. The source code is available at github.com/grafana/github-datasource. Contributions, feature requests, and bug reports are welcome. Using the GitHub data source, Grafana users can visualize data from GitHub’s API. In this blog, we’ll go over some use cases for this handy plugin.

The Diagnose: How Support Works at AppSignal

Setting up AppSignal isn’t as complex as rocket science. Developer experience is really important to us, as AppSignal started as a way to scratch our itch. We also put a lot of effort in providing you with a first-class developer support. In fact, our developers are the ones answering all of your your technical questions. This is why we’ve added a diagnose tool to our Node.js integration.

Introducing Multiple Shipping Tokens for Logz.io Accounts

We’re excited to share that we’ve revamped our Shipping Tokens feature! If you’re a Logz.io user, you’re familiar with the key role tokens play in shipping and protecting your data. As a form of virtual identification, tokens help us properly attribute data to the right account. They are required in a variety use cases such as log shipping, API access, and read access. And in addition, they are also mandatory for compliance.

Aggregate Data with Elasticsearch Data Frames

Ingesting various events and documents into Elasticsearch is great for detailed analysis but when it comes to the common need to analyze data from a higher level, we need to aggregate the individual event data for more interesting insights. This is where Elasticsearch Data Frames come in. Aggregation queries do a lot of this heavy lifting, but sometimes we need to prebake the aggregations for better performance and more options for analysis and machine learning.