Crest Data solved these challenges by building more than 15 open-source Elastic integrations using the proven frameworks and standards for ingesting logs, metrics, and documents. By deploying strong data collectors and specialized analytics, Crest Data enabled the customer to correlate logs from multiple platforms and gain a holistic view of their entire infrastructure for monitoring abnormalities. This solution improved team productivity by standardizing Enterprise Search connectors for different sources, including SharePoint and Microsoft Teams, to enable content to be readily accessible via custom enriched dashboards.

About the Customer

The customer is a leading and widely used analytics platform that provides specialized solutions for Security, Observability, and Enterprise Search. Their platform is designed to ingest, parse, and normalize logs, metrics, and documents from a vast array of diverse data sources, ensuring that information is standardized for accurate analysis regardless of its original format.

Customer Challenge

As a popular analytics platform, the customer was faced with the complex problem of ingesting and normalizing massive amounts of data from disparate data sources across Security, Observability, and Enterprise Search. As each source contained data in different formats, it was an absolute necessity to normalize the information before ingestion in order to ensure accurate data parsing and analysis. Furthermore, given the humongous amount of new data sources that need integration, the customer did not have a standardized development outline to simplify the process of data collection and the creation of custom dashboards.

Customer Solution

To solve the normalization and integration challenges posed due to scaling of data, Crest Data built out full-fledged integrations for Security, Observability, and Enterprise Search that enable the ability to seamlessly correlate logs across multiple platforms. This solution allows the customer to monitor their environment for abnormalities and perform unified text searches across their entire documentation infrastructure.

The solution implemented had several important technical elements:

• Custom Integration Development: Crest created over 15 open-source Elastic integrations using established frameworks and standards for ingesting diverse data feeds.
• Robust Data Collection and Transformation: The team analyzed third-party data sources to identify critical logs and metrics and then implemented robust data collectors to ingest and transform that information for accurate analysis.
• Out-of-the-Box Analytics: To deliver immediate value, Crest built special analytics and detections, as well as custom enriched dashboards for security use cases.
• Standardized Enterprise Search: Crest standardized connectors for Elastic Workplace Search, making content from a variety of platforms – including SharePoint, Network Drives, and Microsoft Teams – easily accessible and searchable.
• Unified Infrastructure Visibility: The solution gives the organization a unified view of the entire infrastructure and helps them to proactively monitor abnormalities in the systems.

Outcome

Implementation of Elastic integrations led to several major operational improvements and increased visibility in the organization:

• Faster Team Productivity: Standardization of Enterprise Search connectors allowed Crest to make content that was located on different sources (such as SharePoint, Network Drives, and Microsoft Teams) readily accessible and searchable via Elastic Workplace Search.
• Unified Infrastructure Visibility: The solution offered the customer a holistic view of their overall infrastructure, and as such, they could easily monitor the abnormalities of their systems.
• Higher Security Analytics: The customer effectively combined security feeds of multiple sources that were visualised using bespoke enriched dashboards to provide deeper analytics.
• Scaled Integration Ecosystem: The solution comprises over 15 open-source Elastic integrations, offering powerful data collection and transformation capabilities in the areas of Security, Observability, and Enterprise Search.
• Enhanced Log Correlation: The solution ensured that users could analyze and correlate logs of different platforms, monitor them more comprehensively, and identify irregularities faster.

About Crest Data

Crest Data is a data and AI-first product engineering and technology solutions provider with deep expertise in cloud and AI, cybersecurity, observability, data analytics, and workflow automation. In this case study, Crest Data leveraged its Elastic integration and data engineering capabilities to empower the customer to standardize the ingestion and normalization of vast amounts of disparate data across Security, Observability, and Enterprise Search, supported by over 15 open-source integrations, robust data collectors, and custom enriched dashboards for unified infrastructure visibility.

With 1,200+ experts and a track record of 5,500+ successful projects across 150+ global customers, and backed by strong partnerships with Google, AWS, Microsoft, Datadog, Dynatrace, ServiceNow, and NetApp, Crest Data delivers outcome-focused solutions that strengthen security, improve platform reliability, and enable sustainable digital growth.