What are the current options to migrate from OpenSearch to Elasticsearch®? OpenSearch is a fork of Elasticsearch 7.10 that has diverged quite a bit from itself lately, resulting in a different set of features and also different performance, as this benchmark shows (hint: it’s currently much slower than Elasticsearch).

An easy way to communicate with Elasticsearch and Elastic Cloud using Arduino IoT devices At Elastic®, we are constantly looking for new ways to simplify search experience, and we started to look at the IoT world. The collection of data coming from IoT can be quite challenging, especially when we have thousands of devices. Elasticsearch® can be very useful to collect, explore, visualize, and discover data — for all the data coming from multiple devices.

In the world of monitoring and observability, Prometheus has grown into the de-facto standard for monitoring in cloud-native environments because of its robust data collection mechanism, flexible querying capabilities, and integration with other tools for rich dashboarding and visualization.

ING Group is a Dutch-based multinational banking and financial services corporation serving more than 38 million customers globally. It’s one of the biggest banks in the world, consistently ranking among the top 30 largest banks globally. At ING, our 20-year-old COBOL-based financial messaging system — which provides electronic instructions to enable financial transactions between banks and customers — is slowly becoming obsolete and difficult to integrate.

Elastic Observability is the premiere tool to provide visibility into web apps running in your environment. AWS App Runner is the serverless platform of choice to run your web apps that need to scale up and down massively to meet demand or minimize costs. Elastic Observability combined with AWS App Runner is the perfect solution for developers to deploy web apps that are auto-scaled with fully observable operations, in a way that’s straightforward to implement and manage.

Elastic® has enabled the collection, transformation, and analysis of data flowing between the external data sources and Elastic Observability Solution through integrations. Integration packages achieve this by encapsulating several components, including agent configuration, inputs for data collection, and assets like ingest pipelines, data streams, index templates, and visualizations. The breadth of these assets supported in the Elastic Stack increases day by day.

Elastic® SQL inputs (metricbeat module and input package) allows the user to execute SQL queries against many supported databases in a flexible way and ingest the resulting metrics to Elasticsearch®. This blog dives into the functionality of generic SQL and provides various use cases for advanced users to ingest custom metrics to Elastic®, for database observability. The blog also introduces the fetch from all database new capability, released in 8.10.