We’re thrilled to announce that Elastic has been named a Leader in The Forrester Wave™: Cognitive Search, Q3 2021*, highlighting, in our opinion, our commitment to providing a set of tools that makes it quicker and easier to build great search experiences with Elasticsearch. In addition to receiving the highest score possible in the strategy category, Elastic also received the highest scores possible in the operations and market awareness criteria.

So you’re using InfluxDB Cloud and you’re taking full advantage of Flux to create custom data processing tasks, checks, and notifications. However, you notice that some of your Flux scripts aren’t executing as quickly as you expect. In this post, we’ll learn about best practices and tools for optimizing Flux performance.

Elasticsearch is a distributed search and analytics engine used for real-time data processing of several different data types. Elasticsearch has built-in processing for numerical, geospatial, and structured text values. Unstructured text values have some built-in analytics capabilities, but custom text fields generally require custom analysis. Built-in text analysis uses analyzers provided by Elasticsearch, but customization is also possible.

We are pleased to announce the general availability of the Azure Private Link integration with Elastic Cloud. Azure Private Link provides private connectivity between your VNET (Virtual Network) and other Azure resources. Private Link simplifies your cloud network architecture and eliminates data exposure to the public internet by routing your data to private Azure service endpoints.

Business Intelligence is essentially an umbrella term that includes infrastructure, best practices, and applications needed to analyze data and support decisions. In the age where data holds unlimited transformative potentials, hospitals and healthcare institutions are diving headfirst to harness the power of data through business intelligence (BI) services.

Last year I started an IoT project, Plant Buddy. This project entailed soldering some sensors to an Arduino, and teaching that device how to communicate directly with InfluxDB Cloud so that I could monitor those plants. Now I am taking that concept a step further and writing the app for plantbuddy.com. This app will allow users to visualize and create alerts from their uploaded Plant Buddy device data in a custom user experience.