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From ELK Stack to easy — Elastic Observability on Elastic Cloud Serverless

Announcing the general availability of Elastic Observability on Elastic Cloud Serverless — a fully managed observability solution

By

Bahubali Shetti,

Chris DiStasio

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As organizations scale, an observability solution that can handle the complexity of distributed cloud environments and provide real-time insights often feels like an insurmountable challenge often due to data- and cost-related compromises. Elastic Observability — now generally available on Elastic Cloud Serverless — is fully managed, offering hassle-free operations and effortless scale with an architecture optimized for low-latency queries, boundless storage, and the full power of Elasticsearch.

Elastic Observability has evolved significantly since the early days of the ELK Stack, which transformed how organizations collected, searched, and analyzed their operational data. Originally designed as a self-managed solution for logs, metrics, and traces, the ELK Stack — with over 5 billion downloads — became the cornerstone of modern observability. Over time, Elastic innovated to meet the growing demands of distributed, cloud-native environments by first introducing Elastic Stack Hosted and now Elastic Cloud Serverless. 

Elastic Observability on Elastic Cloud Serverless enables site reliability engineers (SREs) to monitor and optimize their environments with ease. Our Search AI Lake — with its cloud-native architecture — separates compute and storage allowing SREs to scale telemetry ingest, optimize storage, and use advanced AI for actionable insights. Elastic Cloud Serverless offers a reliable, cost-effective approach to observability that few others can match.

Key benefits of Elastic Observability on Elastic Cloud Serverless include:

  • Hassle-free observability

  • Out-of-the-box curated workflows and dashboards

  • Cost-efficient and scalable data storage with Search AI Lake

  • Improved delivery for system reliability

  • Easy deployments from anywhere — a strategy that evolves with your environment

  • Simplified consumption-based pricing

Hassle-free observability

Elastic Cloud Serverless delivers a fully managed observability solution that is tuned to meet the needs of SRE and operations teams. Compared to the open source ELK Stack, there is no need to manage backend provisioning, scaling, capacity planning, or upgrades with Elastic Cloud Serverless. Elastic Observability on Elastic Cloud Serverless eliminates all management complexity and overhead so that SREs can focus on innovation instead of managing their observability solution.

Out-of-the-box curated workflows and dashboards

Elastic Observability’s curated workflows simplify getting started and scaling for all of your observability needs. Whether it's logs, metrics, or traces for infrastructure, Kubernetes, applications, or specific components, SREs are provided with easy onboarding mechanisms to bring data into Elastic in seconds.

add observability data

Data onboarding workflows with simple, intuitive, out-of-the-box dashboards for AWS, Azure, GCP, Kubernetes, and more are now available with Elastic Observability on Elastic Cloud Serverless. SREs don’t have to manage ingest, develop customized views, or even handle tedious schema conversions — accelerating time to observability for SREs.

Elastic is also now 100% OpenTelemetry (OTel)-native, retaining OTel data natively without requiring data translation. This eliminates the need for SREs to handle tedious schema conversions and develop customized views. All Elastic Observability capabilities, such as entity discovery, entity-centric insights, APM, infrastructure monitoring, and AI-driven issue analysis, now seamlessly work with native OTel data.

Cost-efficient and scalable data storage with Search AI Lake

Elastic Cloud Serverless storage simplifies scalability while maximizing efficiency by using cost-effective object storage and minimizing data duplication. Search AI Lake eliminates redundant replication, uses advanced compression techniques, and efficiently stores data, significantly lowering storage costs.

It delivers low-latency search capabilities ensuring quick queries and contextual analysis across large data volumes at scale. In addition, Elastic’s AI-driven query engine accelerates root cause analysis, enabling organizations to access precise and actionable insights faster than ever before. With Elastic Cloud Serverless, you benefit from storage that is not only cost-effective but also performance-optimized — driving lower mean time to resolution (MTTR) for surfacing unknown unknowns.

Improved delivery for system reliability

Elastic Observability on Elastic Cloud Serverless enhances system reliability by equipping SREs with powerful, AI-driven tools to streamline operations, accelerate problem resolution, and boost productivity.

The retrieval augmented generation (RAG)-based Elastic AI Assistant integrates telemetry data with organizational knowledge, such as GitHub issues, standard operating procedures (SOPs), runbooks, and customer cases, to provide meaningful insights and resolve issues faster. Complementing RAG, Elastic’s zero-configuration machine learning (ML) and artificial intelligence for IT operations (AIOps) automate root cause analysis — reducing configuration complexity while delivering precise and actionable insights. Together, these tools empower teams to quickly address challenges and minimize operational disruptions. SREs can significantly reduce MTTR and focus on proactive, data-driven decision-making.

Elastic Observability, your way — Deploy anywhere

Flexibility is key in today’s dynamic environments. Elastic empowers you to deploy an observability solution that supports your unique operational needs. Whether you prefer on-premises, self-managed Elastic Stack, Elastic Cloud Hosted, or Elastic Cloud Serverless, the platform is built to meet your needs wherever you are. This versatility ensures that your observability strategy can evolve with your environment whether you're modernizing legacy systems or scaling dynamic cloud-native architectures.

Simplified consumption-based pricing

Elastic Cloud Serverless takes the guesswork out of budgeting with simplified consumption pricing. You only pay for what you use — ensuring predictable costs that scale with your needs. This model eliminates the overhead of managing capacity and resource planning, enabling you to focus on insights and innovation instead of infrastructure management.

We’re also happy to introduce new volume pricing for observability data using a tiered pricing model. This approach simplifies scaling by reducing costs per unit as data usage increases. Pricing decreases with higher data volumes and is divided into tiers based on data ingested and retained.

Why choose Elastic Cloud Serverless for observability?

Elastic Cloud Serverless combines the power of AI, ML, generative AI, and analytics to create an observability solution that meets the demands of complex production environments. It is designed to be production-ready — providing an open source, secure, and hassle-free experience along with deployment flexibility and cost-effectiveness.

Whether you’re monitoring large-scale microservices or handling the complexities of diverse systems, Elastic Observability on Elastic Cloud Serverless can scale seamlessly to support your needs without adding unnecessary complexity. These capabilities empower teams to resolve issues efficiently, optimize performance, and focus on innovation rather than operational challenges. Try it 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.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, ESRE, Elasticsearch Relevance Engine and associated marks are trademarks, logos or registered trademarks of Elasticsearch N.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.

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