The agentic era: Elastic at Google Cloud Next 2026

Highlights from this year’s agentic enterprise event by Google Cloud

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Summary
  • Elastic was recognized as Partner of the Year for helping customers progress in the agentic era.
  • Elastic is an embedded security layer for Google Distributed Cloud air-gapped environments.
  • Elastic's Jina Embeddings v3 are available as a self-deployable model on the Gemini Enterprise Agent Platform Model Garden
  • Elastic is 25% faster on Google Cloud with Google Axion processors.

One thing was clear at Google Cloud Next 2026: The agentic era is here. The Agentic Enterprise is becoming a reality with tangible results surfacing across many industries.

Whereas a year ago much of the discussion felt conceptual and centered on proof-of-concept initiatives, the maturation of AI technologies has led to broad use that solves for real-world use cases.

Partner of the year, again!

Elastic continues to thrive in this agentic era through close collaboration with partners like Google Cloud. As a testament to that, we were named a Google Cloud Partner of the Year for the fifth time, highlighting our ability to help joint customers deploy generative AI (GenAI) solutions that deliver valuable impact via Elasticsearch, a complete data platform for context engineering and AI.

Google Cloud Partner of the Year Data Management & AI 2026 logo
Elasticians accepting the Partner of the Year award at Google Cloud Next 2026

To learn more about this prestigious award, check out the press release or blog.

Built for what’s next

We were delighted to share the practical side of Elastic’s AI innovation on Google Cloud during the event. Below are our top areas of innovation.

Elastic for GDC air-gapped environments

Securing air-gapped environments is crucial for government agencies, national security organizations, financial institutions, and telecommunications providers. Through expansive collaboration, Google Cloud selected the Elastic agentic SecOps platform for securing Google Distributed Cloud (GDC) air-gapped environments.

Elastic Security is now an embedded security layer for organizations using GDC to run workloads completely disconnected from the public internet. For additional details, see the press release or blog.

Jina models on Gemini Enterprise Agent Platform Model Garden

Elastic combines industry-leading search with native best-in-class Jina AI or third-party models to deliver relevant, permission-aware answers across unstructured and semi-structured data. 

One of the top announcements at Next was the introduction of Gemini Enterprise Agent Platform, which is the evolution of Vertex AI to build, scale, govern, and optimize agents. The platform provides access to more than 200 of the world’s leading models through Model Garden.

Given our close alignment with Google Cloud, Elastic was the first Jina model available on the platform, enabling organizations to deploy high-performance retrieval models directly within their own cloud environments. For more information, read the press release or blog.

CPU-optimized (Arm) hardware profile powered by Google Axion

At Elastic, we are always focused on improving performance and cost efficiency for our customers running observability, security, and search workloads on Elastic Cloud Hosted. Consequently, we were excited to introduce a new CPU-optimized (Arm) hardware profile powered by Axion — Google’s custom-designed, Arm-based processors.

During Next, Elastic and Google Cloud experts provided a breakdown of the Google Axion custom Arm-based processor family and how to map it to specific workload requirements.

Elastic and Google Cloud experts provided a breakdown of the Google Axion custom Arm-based processor family

If you’re interested in how Google Axion processors deliver up to 25% better price-performance for Elastic Cloud workloads, read the blog.

Build AI architectures with custom models on Cloud Run

Modern AI architectures use specialized and open models to deliver high-performance features with greater efficiency. As part of a joint Elastic and Google Cloud session, we explored how the Cloud Run serverless GPU architecture provides a scalable, cost-effective runtime without the complexity of having to manage clusters. This highlights another way that Elastic helps customers bridge the gap between enterprise data and high-quality AI experiences.

a joint Elastic and Google Cloud session speaker on stage

Elastic Agent Builder and Elastic Workflows

With the recent launch of Elastic Agent Builder and Elastic Workflows, we took the opportunity to focus on the capabilities and value these features offer during our breakout session. Through a fun Indiana Jones–style demo, Elastic presenters showed how users can build on Elastic’s deeply integrated open stack for context engineering and AI, bringing together vector database capabilities, hybrid search, Jina AI models, and Agent Builder in a single platform.

Speakers on stage focus on the capabilities and value of Agent Builder and Workflows features

Scale applications with Google Cloud ADC integration

Building and scaling applications using Elastic and Google Cloud's Application Design Center (ADC) allows teams to combine high-performance search and observability with governed, automated infrastructure deployment. Technical specialists from Elastic and Google Cloud demonstrated how an Elastic Agent using ADC templates can gather logs, metrics, and security data across application instances to improve performance.

Elastic booth with a speaker talking about scaling apps with Elastic and Google Cloud ADC integration

Native Prometheus and PromQL support in Elastic Observability

Another Elastic announcement centered on the technical preview of native Prometheus ingestion and PromQL support in Kibana. With native Prometheus support, Elastic eliminates data fragmentation tradeoffs by allowing teams to ingest, store, and analyze native Prometheus data alongside other telemetry data directly via Remote Write. 

And with native PromQL support in Kibana, users can run existing PromQL queries in dashboards and alerts without modification, thereby lowering the barrier to adoption for teams already using Prometheus. To understand how these features empower site reliability engineers (SREs), take a look at the press release or blogs on Prometheus and PromQL.

Customer appreciation

Amid all of these announcements and presentations, we wanted to thank our customers for pushing us to be the best we can be. Whether it was chatting at the Elastic booth on the expo floor or enjoying a cocktail at our private reception, we recognize that our customers and our community are at the heart of everything we do in our actions, in our products, and in the experiences that we create for them. 

Our passion for our users translates into their passion for Elastic. Google Cloud Next 2026 provided a wonderful occasion for celebrating our achievements together.

Two people chatting at the Elastic booth on the expo floor
Bright marquee Elastic sign in front of a bar at Elastic's private reception

See you next year!

As we conclude our Elastic fiscal year with this invigorating event, we look forward to bringing even more capabilities to our customers in the agentic era ahead.

For more details on the event, watch the webinar From Next to Now: Elastic & Google Cloud's Agentic Enterprise in Action.

If you are interested in exploring Elastic Cloud, start your seven-day free trial on Google Cloud Marketplace today.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

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