Question: I need a unified observability solution for my hybrid data estate - what options are available?

Another contender is LogicMonitor, which offers a hybrid observability platform, LM Envision, for operational visibility and predictability. The platform offers real-time insights and automation through an agentless architecture, and can be used to monitor infrastructure, clouds and digital experiences. With AIOPS capabilities and integrations with security tools, LogicMonitor can help predict and prevent IT issues, making it a good fit for many industries and enterprise IT operations.

Datadog is another option. It's an all-in-one monitoring and security platform that offers real-time insights into performance, security and user experience for any stack or infrastructure. Datadog's suite of features includes infrastructure monitoring, APM, synthetic monitoring and security monitoring, so you can quickly identify and optimize system performance and reliability. The platform integrates widely with cloud providers and other tools, so it's a good fit for many industries.

If you have a data estate that's more specialized, EDB Postgres AI is an option. It's designed to help you if your data estate is heavily reliant on Postgres. The platform unifies transactional, analytical and AI workloads on the Postgres database engine, with native AI vector processing, lakehouse integration and unified observability across hybrid data estates. It's designed for high availability and performance, so it's a strategic technology asset for companies that are bringing AI and analytics to their Postgres workloads.