We’re pleased to announce that along with the release of the machine learning inference ingest processor, we are releasing language identification in Elasticsearch 7.6. With this release, we wanted to take the opportunity to describe some use cases and strategies for searching in multilingual corpora, and how language identification plays a part. We’ve covered some of these topics in the past, and we’ll build on these in some of the examples that follow.

Our Data-to-Everything vision is to bring data to every question, decision and action—blockchain data is no exception. Part of making that vision a reality is getting data into Splunk where you can start to investigate, monitor, analyze and act in order to turn data into doing.

It is imperative for organizations to monitor performance, security and stability of their blockchain integrations. Splunk makes it easy to achieve this observability, not just with blockchain but with all enterprise infrastructure. Our customers have told us this is simply a necessity for getting to production and also makes application development faster. Based on Ethereum, Quorum is an open source blockchain platform built for business and backed by strong partnerships such as J.P.

We are excited to announce the general availability of version 7.6 of the Elastic Stack. This release streamlines automated threat detection with the launch of a new SIEM detection engine and a curated set of detection rules aligned to the MITRE ATT&CK™ knowledge base, brings performance improvements to Elasticsearch, makes supervised machine learning more turnkey with inference-on-ingest features, and deepens cloud observability and security with the launch of new data integrations.

Today, most enterprises rightfully think about their business strategies by leveraging available data. Data-driven decisions certainly are more solid and reliable than those based upon mere instinct, intuition or just plain mysticism. Logs, in particular, are a fantastic source of information from which a company can draw to fuel its business intelligence (BI) strategies. However, there’s a big and sometimes unbridgeable gap between theory and practice.

LogDNA is releasing Custom Webhooks, enabling customers to easily integrate LogDNA alerts with 3rd-party services. Custom Webhooks allows you to configure a webhook’s header and body and add specific LogDNA tokens to your alerts going through that webhook.

We highly recommend that all App Search users keep their deployments up to date with the latest available version to have access to new features, security updates, and performance improvements. This guide is designed to help customers through the upgrade process, to minimize the impact of an upgrade on production environments, and to ensure data safety during an upgrade. Finally, the guide helps App Search users troubleshoot any issues that may occur during an upgrade.

Snyk is a developer-centric company whose raison d’être is to identify and patch vulnerabilities in open source security software. With about 50 engineers, Snyk VP Engineering Anton Drukh wants to maintain flexibility in how the team operates. The best way to ensure that is to give them as much insight into their own work as possible, and hence options. They also look at the state of open source security across the industry.

When Splunk was first released almost 20 years ago, it helped many organizations realize the power of logs to gain business insights with pricing based on the volume of data ingested per day. Over the last two decades, the volume, variety, and velocity of data generated by systems and users have grown exponentially. The demands of business and operations have quickly moved beyond compliance and basic reporting.

ClickHouse is an open source database management system, and was originally developed as a backend for Yandex’s Metrica analytics platform. ClickHouse is column oriented, meaning that it can quickly scan through ranges of values in a single column without touching irrelevant values in other columns. This makes ClickHouse well suited for online analytical processing (OLAP).