Enterprise applications rely on large amounts of data that needs to be distributed, processed, and stored. Data platforms offer data management services via a combination of open source and commercially supported software stacks. These services enable accelerated development and deployment of data-hungry business applications. Building a containerized data analytics platform comprising different software stacks comes with several deployment challenges.

In order to stay competitive, enterprise organizations are engaged in an ongoing drive to optimize and scale the delivery of their products and services. Data has become a critical solution component of achieving these goals.

We’re excited to introduce usability enhancements to the Elastic Cloud Enterprise (ECE) platform administration console to simplify your experience. Administration is shifting to a host-based management and dedicated role pages for ECE proxies and control plane.

In a previous blog, we covered how you can incorporate synonyms into your Elasticsearch-powered application. Here, I build upon that blog and show how you can combine stemmers and multi-word synonyms to take the quality of your search results to the next level.

As organizations migrate to Elastic from incumbent vendors, quickly onboarding log data from their current solution into Elastic is one of the first orders of business. Data onboarding often involves having to adjust ingestion architecture and implement configuration changes across data sources. We want to ensure that users trialing or migrating to Elastic can get data in quickly to start seeing the power of Elastic solutions as quickly as possible.

Our Kibana team has been hard at work implementing and executing on a new Kibana strategic vision to streamline the dashboard creation process and sand down the rough edges of creating visualizations for dashboards. We accomplished our goal and reduced the overall time it takes users to go from a blank slate to a meaningful dashboard that conveys insights about the data.

We at Splunk know that data drives better decisions. We see this with customers, and we live it every day in our own operations within Splunk. Running large cloud services across multiple cloud providers, we have to manage data policies and data processing needs against an increasing set of use cases, as well as the backdrop of regulatory, privacy and security frameworks.