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Migrate to Elastic's AI-driven log analytics with ease through Express Migration

Elastic offers AI-powered log analytics with incentives to accelerate log migration from traditional logging vendors like Splunk

By

Elastic Observability Team

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Operations teams face a challenging environment: preventing downtime in complex, distributed, cloud-native environments with exponentially increasing data volume while avoiding runaway costs. SREs need accurate and contextual observability insights to resolve issues and ensure resiliency.

Built on Search AI, Elastic Observability provides AI-driven log analytics supported through contextual insights with RAG-based Elastic AI Assistant, fast problem identification with one-click AIOps, and powerful analytics the Elasticsearch Query Language (ES|QL). These capabilities enable faster issue detection and resolution while lowering costs and providing unlimited retention. To accelerate the adoption of these advanced features, Elastic’s Express Migration program now provides an incentivized path for organizations to quickly leverage Elastic Observability and migrate off legacy logging solutions, such as Splunk. Additionally, Elastic delivers these capabilities on a unified platform with a singular scalable data store.

Elastic Express Migration provides two key incentives for current customers of Splunk. Building on Elastic’s simple consumption-based pricing model, the program provides migrating customers with consumption credits for a portion of their new contract with Elastic to help alleviate their existing contract burden. Secondly, the program provides service credits — as a proportion of their new commitment with Elastic — that may be applied toward Elastic’s migration professional services.*

Transformation with Elastic Observability’s AI-powered log analytics

Many customers have found immense value in Elastic's AI-driven log analytics journey. The journey isn't just about better log analytics; it's about evolving their entire approach to business and customer experiences, ultimately leading to significant improvements in business performance and decision-making capabilities.

The journey starts with the foundational and open Elastic Common Schema (ECS) — now part of OpenTelemetry — and distributed Search AI Lake, allowing customers to normalize data semantics and aggregate in one location. Customers can gain upward of a 50% reduction in cost from the aggregated search lake coupled with Elastic's powerful and fast querying capabilities. 

This combination of normalized data with lower costs enables in-depth signal analysis and deeper insights across multiple data sets, including logs, traces, and metrics, while storing large volumes of data in low-cost storage. Additionally, ML-driven insights, such as anomaly and spike detection, help reduce RCA time by 50%. The real game-changer comes with the retrieval augmented generation (RAG) and natural language-driven Elastic AI Assistant, making complex analytics accessible to the entire team regardless of their technical expertise. This RAG-based analysis utilizes both LLM and private data to provide the most contextual and relevant insights. 

Customers have achieved meaningful transformations when migrating to Elastic Observability:

  • A media company transformed customer experiences with a 25% reduction in customer calls, a 3% increase in customer retention, and an 85% reduction in time resolving incidents with Elastic Observability.

  • A US enterprise data management leader cut costs by 50% and accelerated mean time to resolution (MTTR) after consolidating both observability and security solutions on Elastic.

  • A leading American financial services company cut costs by 49% per node and enabled $11M–$27M annual benefits after migrating to Elastic.
elastic ai-driven log analytics journey

Migrating your logs to Elastic

Migrating traditional logs to a modern solution has historically been a laborious task dominated by onboarding all of an organization's data sources and transferring semantics and queries from the old log analytics platform. Coupled with the commercial burden of existing multiyear contracts, this imposes significant friction and unnecessary delays in adopting and benefiting from recent advances.

Migrating to Elastic Observability is significantly easier with our 400+ out-of-the-box integrations, industry-standardized semantics (OTel), new piped query language ES|QL, and the ability to query data quickly across low-cost storage at scale. These capabilities paired with Elastic services ensure you reduce the migration friction associated with data onboarding and process (workflow) conversion. Additionally, numerous Elastic customers are also using the Elastic AI Assistant to auto-convert their existing rules, queries, and semantics, making it easier to migrate at a lower cost.

The goal of the Elastic Express Migration program is to provide commercial and implementation incentives in addition to these product innovations. This program aims to accelerate customer migration to Elastic's Search AI-powered log analytics, offering peace of mind and unbeatable ROI.

Take the next step

Take the next step by replacing your logs with Elastic. Then, set your sights on the future by focusing on the long-term benefits of a unified observability solution with end-to-end visibility, decreased MTTR, and lower total cost of ownership (TCO).

Learn more by exploring:

*Terms, conditions and restrictions apply to the Elastic Express Migration program. Users must meet eligibility and other requirements to qualify for credits or incentives

Splunk and other related marks are trademarks or registered trademarks of Splunk Inc. in the United States and other countries. All other brand names, product names, logos, or trademarks belong to their respective owners.

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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