This post was written by Joe Cozzupoli. Scroll down to read the author’s bio. As the cybersecurity landscape evolves and threats become more sophisticated, organizations need to stay ahead with the right tools and strategies to protect their valuable data. Two key technologies in this domain are Security Orchestration, Automation, and Response (SOAR) and Security Information and Event Management (SIEM).

The world of FinOps can be pretty complex. Don’t get us wrong, it’s a fantastic way to align IT and finance teams for maximum efficiency in cloud operations. But for newcomers, it may feel a bit overwhelming at first. That’s why following influential leaders in the FinOps space is a must. The tips, insights, and guidance from these top FinOps performers can give you the confidence and motivation to lead FinOps at your company.

Users with real-time and other analytic workloads want or need to keep large volumes of historical data to aid in important activities, such as ad hoc historical trend analysis and training AI models. However, storing this much data in a way that also makes it easily queryable becomes prohibitively expensive. As a result, users must balance data availability and usability with sacrificing data fidelity and storage costs. That is until now.

Are you interested to learn about the characteristics of Elasticsearch for vector search and what the design looks like? As always, design decisions come with pros and cons. This blog aims to break down how we chose to build vector search in Elasticsearch.