~40% YoY growth in Elastic Cloud on Google Cloud business
Reduced operational expenses by ~20% through automation
Cut compute-related carbon footprint by estimated 25%
Elastic fundamentally re-architected its core offering to Elastic Cloud Serverless on Google Cloud, transforming its ability to provide lightning-fast search and AI capabilities at scale while eliminating operational complexity for customers and significantly improving its own software delivery performance through DORA practices.
Elastic fundamentally re-architected its core offering to Elastic Cloud Serverless on Google Cloud, transforming its ability to provide lightning-fast search and AI capabilities at scale while eliminating operational complexity for customers and significantly improving its own software delivery performance through DORA practices.
Reimagining the experience: A vision for simpler, faster search
As data volumes grew and workloads became more demanding, Elastic saw an opportunity to reimagine the experience for a broader set of users—delivering a simpler user experience that continues to offer lightning-fast performance. The impetus for this transformation was driven by both practitioner insights and executive strategy. Developers and SREs, both at Elastic and across their customers, wanted to focus on building applications, not managing infrastructure. SOC analysts wanted to detect threats faster, not configure shards.
Elastic realized they could better serve these needs with a modern, cloud-based model.
We realized we could better serve our and our customers' needs with a modern, cloud-based model, eliminating operational complexity and consistently delivering high performance at scale.
Yuvraj Gupta
Yuvraj Gupta, Director, Product Management, Elastic
This shared vision led to Elastic Cloud Serverless; a strategic re-architecture of Elasticsearch that eliminates operational complexity, enables automatic scaling, and consistently delivers high performance at any scale.
Elastic Cloud Serverless: Built on the Search AI Lake
This transformation has made Elastic leaner, more scalable, and more customer-focused, demonstrating the long-term business value of cloud-based innovation.
Yuvraj Gupta
Director, Product Management, Elastic
Elastic Cloud Serverless is built on the industry-first Search AI Lake architecture, combining decoupled storage and compute with low-latency search and efficient, scalable storage, along with advanced AI capabilities to deliver uncompromising speed and scale. The solution leverages Google Compute Engine, Google Kubernetes Engine (GKE), and Cloud Storage to empower developers, analysts, and SREs to search and analyze massive volumes of data in real time, all without managing infrastructure.
Through a close partnership with Google Cloud, Elastic became the first ISV directly integrated into Gemini Enterprise Agent Platform's UI and SDK, enabling seamless grounding of Gemini prompts using Elastic's vector search.
DORA metrics success: By adopting Google Cloud's DORA framework, Elastic significantly improved its software delivery performance:
- Deployment frequency: Improved over 10x, from biweekly releases to 25 code releases per day on average.
- Lead time for changes: Reduced from seven days to under one day for 70% of services.
- MTTR: Lowered by 40–60% through enhanced observability, automated rollback, and canary deployments.
- Change failure rate: Cut by half to around 1% by adopting automated testing and canary releases.
Elastic has helped customers search and analyze complex, unstructured data for over a decade, becoming a key pillar in the AI stack for rapid data search at scale.
Industries: Technology, Financial Services, Media and Entertainment, Communications and service providers
Location: United States
Products: Compute Engine, Gemini models, Google Kubernetes Engine (GKE), Google Cloud, Cloud Storage, Gemini Enterprise Agent Platform
About Google Cloud partner - Elastic
Elastic is a Google Cloud Partner. Elastic's partnership with Google Cloud has been instrumental in accelerating innovation and delivering value to customers through deep technical alignment and co-development.
