Elastic announced the general availability of its Elastic Cloud Serverless powered by a re-architectured Elasticsearch that is built on an industry-first Search AI Lake optimized for real-time applications. It combines vast storage with low-latency querying and all of the strengths of Elasticsearch’s AI and search capabilities.
“The need for scalability within search has never been more prevalent,” said Maribel Lopez, Founder & Principal Analyst of Lopez Research. “Serverless architecture supports the development of AI-powered search applications because it offers significant benefits in terms of scalability, cost-efficiency, and flexibility for modern software development. Companies need this type of architectural flexibility to navigate a rapidly changing AI landscape without having to make scale or performance trade-offs."
Elastic Cloud Serverless is engineered to tackle high-volume, complex, and high-performance workloads—from retrieval augmented generation (RAG) to threat detection. By decoupling compute from storage, indexing from search and using cost-effective cloud-native object storage, the architecture scales seamlessly while retaining the rapid, low-latency querying performance and AI relevance capabilities of Elasticsearch.
“Ingesting data and querying the cluster showed nearly zero latency using Elastic Cloud Serverless,” said Madison Bahmer, Senior Principal Enterprise Architect, Two Six Technologies . “It is really fast and extremely easy to set up; we provisioned a new project without needing technical expertise.”
Streamlined Solutions That Start Fast and Search Faster
The fully managed Elastic Cloud Serverless offers both streamlined solutions and pricing. The new solution-specific pricing aligns costs with actual usage tailored to the different needs of security, observability, and search — offering greater flexibility and predictability.
By focusing on resource-based metrics like data ingestion, storage, and compute units, Elastic makes it easier for customers to manage budgets and scale as needed — enabling more control to manage workloads across different applications.
In addition, new volume pricing for security and observability data, using a tiered pricing model, simplifies scaling by reducing costs per unit as data usage increases, making it easy for customers to set up new projects for search, observability and security.
■ Elasticsearch Serverless lets developers rapidly build AI-powered search applications with the latest features, save time managing infrastructure, and scale up or down to meet their needs.
■ Elastic Observability Serverless enables a hassle-free experience without the overhead of managing the Elastic Stack or manually scaling capacity.
■ Elastic Security Serverless provides security analysts with a new cloud deployment option for their security analytics and SIEM use cases.
“What has stood out to our team with Elasticsearch Serverless is its ease of use,” said Marcel Makus, Development Manager at SAP Concur. “Elasticsearch Serverless is simple to use as a fully managed service, and it takes virtually no time to set up a new project. We’ve also been impressed with how well Elastic delivers on its autoscaling capabilities.”
“With our fully managed Elastic Cloud Serverless, we’re helping customers save more, scale fast, and search faster,” said Ken Exner, chief product officer at Elastic . “By removing operational overhead, developers can rapidly build AI-powered search applications without concern for latency or scalability. Our Search AI Lake inherently supports dense vectors and features such as hybrid search, faceted search, and relevance ranking, which are especially vital for applications like GenAI and RAG."
Pricing and Availability
Elastic Cloud Serverless is initially generally available on AWS. Support for Azure instances will be available in early 2025, opening Elastic Cloud Serverless to Microsoft's growing cloud ecosystem for seamless integration with Azure services like Blob Storage, Event Hubs, and Azure Active Directory among many others to streamline workflows. Support for Google Cloud instances will also be available in early 2025.
Elastic Cloud Serverless offers both streamlined solutions and pricing. Information on the solution-specific pricing is available here. Read the blog to learn how to get started more, including for search, observability, and security, or start your free trial now.
The Latest
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
