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Exploring Jaeger traces with Elastic APM

Jaeger is a popular distributed tracing project hosted by the Cloud Native Computing Foundation (CNCF). In the Elastic APM 7.6.0 release we added support for ingesting Jaeger traces directly into the Elastic Stack. Elasticsearch has long been a primary storage backend for Jaeger. Due to its fast search capabilities and horizontal scalability, Elasticsearch makes an excellent choice for storing and searching trace data, along with other observability data such as logs, metrics, and uptime data.

Elasticsearch Service on Google Cloud Marketplace: New ways to purchase and discover

Last year we announced an expanded partnership with Google to bring Elasticsearch Service to even more Google Cloud users. We were also named one of Google Cloud's partners of the year! We've since deepened our partnership, and today we are proud to announce new ways to purchase and discover Elasticsearch Service in the Google Cloud Marketplace. You can now purchase monthly Gold and Platinum subscriptions as well as Standard, Gold, and Platinum annual subscriptions through the marketplace.

Elastic Cloud: Elasticsearch Service API is now GA

The Elastic Cloud console gives you a single place to create and manage your deployments, view billing information, and stay informed about new releases. It provides an easy and intuitive user interface (UI) for common management and administrative tasks. While a management UI is great, many organizations also want an API to automate common tasks and workflows, especially for managing their deployments.

How to implement Prometheus long-term storage using Elasticsearch

Prometheus plays a significant role in the observability area. An increasing number of applications use Prometheus exporters to expose performance and monitoring data, which is later scraped by a Prometheus server. However, when it comes to storage, Prometheus faces some limitations in its scalability and durability since its local storage is limited by single nodes.

Elastic Stack 7.7.0 released

We are pleased to announce the general availability of version 7.7 of the Elastic Stack. Like most Elastic Stack releases, 7.7 packs quite a punch. But more than the new features, we’re most proud of the team that delivered it. A feature-packed release like this is special during normal times. But it’s extra special today given the uncertain times we are in right now.

How to enrich logs and metrics using an Elasticsearch ingest node

When ingesting data into Elasticsearch, it is often beneficial to enrich documents with additional information that can later be used for searching or viewing the data. Enrichment is the process of merging data from an authoritative source into documents as they are ingested into Elasticsearch. For example, enrichment can be done with the GeoIP Processor which processes documents that contain IP addresses and adds information about the geographical location associated with each IP address.

Elastic at home for students and educators: A resource guide

George Lucas once said, “Education is the single most important job of the human race.” When considering the requirement of education in the mastering of any role or skill, there is no debate to the truth behind his words. Education is the cornerstone on which the future is built, which is why Elastic is launching the Elastic for Students and Educators program.

Getting started with adding a new security data source in your Elastic SIEM: Part 1

What I love about our free and open Elastic SIEM is how easy it is to add new data sources. I’ve learned how to do this firsthand, and thought it’d be helpful to share my experience getting started. Last October, I joined Elastic Security when Elastic and Endgame combined forces. Working with our awesome security community, I’ve had the opportunity to add new data sources for our users to complement our growing catalog of integrations.

Searching Confluence with Elastic Workplace Search

For many companies, Elastic included, wikis developed with Confluence are a critical source of content, procedures, policies, and plenty of other important info, spanning teams across the entire organization. But sometimes finding a particular nugget of information can be tricky, especially when you’re not exactly sure where that information was located. Was it in the wiki? In a Word doc? In Salesforce? A GitHub issue? Somewhere else?

Elastic Observability in SRE and Incident Response

Software services are at the heart of modern business in the digital age. Just look at the apps on your smartphone. Shopping, banking, streaming, gaming, reading, messaging, ridesharing, scheduling, searching — you name it. Society runs on software services. The industry has exploded to meet demands, and people have many choices on where to spend their money and attention. Businesses must compete to attract and retain customers who can switch services with the swipe of a thumb.