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

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

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.

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.

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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