Operations | Monitoring | ITSM | DevOps | Cloud

As public sector organizations adapt to the exponential growth of data, there is a pressing need for powerful, adaptable solutions to manage and process large, complex data sets. Artificial intelligence (AI) and machine learning (ML) have become essential tools with the potential to transform data into actionable intelligence for government agencies. However, deploying these advanced solutions requires a robust infrastructure capable of handling the demands of data processing, storage, and analysis.

We recently spoke with customers who want all the advantages and benefits of being standardized on the Atlassian platform with Bitbucket, with an integrated experience across planning, source control, CI/CD, and beyond, while still being able to take advantage of using GitHub Copilot. In this blog, we’re excited to demonstrate how easy it is to use GitHub Copilot alongside your Bitbucket repos.

Breaking down AI complexity: Your gateway to production-ready applications with Elasticsearch — the world's most downloaded vector database Generative AI (GenAI) is transforming the business landscape we’ve come to know.

In today's rapidly evolving cloud landscape, robust security measures are more critical than ever. At Elastic Security, we're excited to introduce our extended protections for cloud — a key component of our cloud detection and response (CDR) use case. This initiative seamlessly integrates open source security tools from the Cloud Native Computing Foundation (CNCF) ecosystem with Elastic Security's powerful analytics platform.

While using a full-blown filesystem for storing your data in non-volatile memory is common practice, those filesystems are often too big, not to mention annoying to use, for the things I want to do. My solution? I’ve been hard at work creating the sequential-storage crate. In this blog post I’d like to go over what it is, why I created it and what it does.

Your organization probably relies on a collection of observability tools to track specific elements of its IT stack. You’re not alone; a recent survey from Enterprise Strategy Group showed that most organizations have six or more observability solutions. Our research found that the average BigPanda customer uses 20 observability and monitoring data sources!