Operations | Monitoring | ITSM | DevOps | Cloud

Financial services AI demands more than models and prompts. Context engineering provides real-time, governed, and explainable intelligence with Elastic serving as the foundational context layer. Artificial intelligence in financial services is no longer constrained by model capability. The real bottleneck is context.

In today's global enterprises, distributed infrastructure is the norm, not the exception. Organizations operate across continents and are driven by customer proximity and regulatory requirements. For the Elastic Stack, this reality often translates into a multi-cluster deployment model, where data is collected and stored in multiple geographically dispersed Elasticsearch clusters. But, why adopt complexity? The decision to decentralize data storage is generally driven by three critical factors.

In 2025, Elastic and Google Cloud created a powerhouse of AI-driven insights, providing an end-to-end search, observability, and security journey for our joint customers. We continue to partner on many opportunities for success and have made even further progress this year to empower all our users, especially around generative AI (GenAI). This blog highlights our collaboration with Google Cloud to help you harness the power of data at scale as well as our top moments from Google Cloud Next ‘25.

Highlights of another laudable year of customer-centric collaboration The integration of Elastic’s capabilities, including vector databases and context engineering, with AWS services helps customers build intelligent, scalable, and secure applications faster and with greater flexibility. Our ongoing collaboration has resulted in another year of notable innovation with AWS. This blog highlights our continued collaboration with AWS throughout 2025 to help you capitalize on the power of AI.

Highlights of another successful year of customer-centric collaboration Once again, our partnership delivered an impressive year of innovation with Microsoft Azure, Azure AI Foundry, and Azure OpenAI. This blog highlights our continued collaboration with Microsoft to better serve customers throughout 2025 and our key moments at Microsoft Ignite.

The observability landscape has undergone a fundamental transformation over the past several years. In a recent report, The Landscape of Observability in 2026: Balancing Cost and Innovation conducted by Dimensional Research and sponsored by Elastic, over 500 IT decision-makers were surveyed. It revealed that observability has definitively transitioned from an optional capability to a mission-critical business function.

Students can now learn what they need within the Elastic stack anytime. The Elastic Training team has shifted its on-demand training strategy from paid to free! Yes, you heard that right — complimentary on-demand training is now readily available to everyone. The Elastic Training team is continuously developing and releasing bite-sized training modules designed to align with Elastic solutions and highlight key features.