We are excited to announce the general availability of cross-cluster search and replication on Elastic Cloud. These two features allow you to search and replicate data across clusters in different regions and cloud service providers globally, making it possible to: Be sure to dive in and learn more about the features below! Cross-cluster search lets you search remote clusters across multiple regions and cloud service providers. When you break down regional data silos, you can get insights faster.

TierPoint is a leading provider of secure, connected data center and cloud solutions at the edge of the Internet with thousands of customers. At TierPoint, I’m responsible for maintenance and development of the information security program, which includes threat analytics, incident response, and digital forensics. We’re constantly looking for new and even more effective ways to aggregate, process, and make decisions from massive amounts of data streaming in from diverse sources.

At Elastic Security, we approach the challenge of threat detection with various methods. Traditionally, we have focused on machine learning models and behaviors. These two methods are powerful because they can detect never-before-seen malware. Historically, we’ve felt that signatures are too easily evaded, but we also recognize that ease of evasion is only one of many factors to consider.

We are thrilled that Elastic has been recognized as a Leader and a Fast Mover in the 2021 GigaOm Radar Report for Cloud Observability. GigaOm Radar reports offer a forward-looking view of the market and are designed to help IT decision makers evaluate solutions with an eye to the future. Their analysts consider not just where the solutions are today, but also how the market is evolving and where the solutions are headed relative to that trend.

As your Elastic usage increases and your use cases expand, it's important to know the benefits and cost savings that you can achieve by running Elasticsearch as a service. But since every Elasticsearch implementation can vary by use case and deployment model, it can be complicated to tackle on your own. So with that in mind, we are excited to share the Elastic Cloud Value Calculator.

The Elastic Common Schema (ECS) provides an open, consistent model for structuring your data in the Elastic Stack. By normalizing data to a single common model, you can uniformly examine your data using interactive search, visualizations, and automated analysis. Elastic provides hundreds of integrations that are ECS-compliant out of the box, but ECS also allows you to normalize custom data sources. Normalizing a custom source can be an iterative and sometimes time-intensive process.

Indices are an important part of Elasticsearch. Each index keeps your data sets separated and organized, giving you the flexibility to treat each set differently, as well as make it simple to manage data through its lifecycle. And Elastic makes it easy to take full advantage of indices by offering ingest methods and management tools to simplify the process.

Cloud API logs are a significant blind spot for many organizations and often factor into large-scale, publicly announced data breaches. They pose several challenges to security teams: For all of these reasons, cloud API logs are resistant to conventional threat detection and hunting techniques.

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.