When Intellicheck first approached us, they were struggling with their Elasticsearch deployment. Like many organizations, they had adopted the Elastic Kubernetes Operator, following what seemed like the industry-standard approach. It promised simplicity, scalability, and modern infrastructure practices. However, as their data needs grew and requirements became more sophisticated, they found themselves constrained by the very tool meant to simplify their operations.

Client Overview

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Intellicheck, a leading provider of identity verification solutions across banking, retail, automotive, and other sectors, partnered with Digitalis.io to transform their Elasticsearch infrastructure. As Intellicheck grew, their existing search tools, though industry standard, became bottlenecks, increasing costs and limiting agility. They required a scalable, cost-efficient, and manageable search platform to support their rapid innovation and growth.

The Challenge

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Intellicheck’s Elasticsearch environment was encumbered by unnecessary complexity. Routine changes demanded multiple intricate steps and specialized expertise, consuming precious engineering time better spent on enhancing search capabilities. Infrastructure costs ballooned without optimization avenues, and the inability to tailor resources to distinct workloads led to waste. Adding new capacity or updating configurations was cumbersome, often requiring days, slowing the business’s ability to respond swiftly.

The Solution

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Digitalis.io implemented a transformative, automation-driven architecture that provided:

• Streamlined Configuration: Consolidated 3,000+ lines of redundant config code into 500 lines of scalable, reusable code deployable across all regions.
• Self-Configuring Servers: Newly provisioned servers automatically detect their role and self-configure, eliminating manual setup.
• Automatic Resource Discovery & Smart Scaling: Dynamic adaptation to workload changes ensures optimal use of resources and cost-efficiency.
• Consistent Multi-Region Deployment: Infrastructure setup that once took weeks of heavy modification now completes within hours, ensuring rapid regional scalability.

The Outcome

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This evolution delivered major benefits:

• Deployment times for new clusters shrunk from 3 days to 4 hours, a 92% improvement.
• Configuration errors dropped from around 15 monthly to zero, boosting reliability.
• Engineering time spent on infrastructure management fell by 83%, from 60% to only 10%.
• Infrastructure costs decreased by 40%, thanks to right-sized servers, new cost-saving features, and automated data lifecycle management.
• The team was empowered with a user-friendly, flexible system, allowing focus on improving search quality rather than firefighting infrastructure issues.

Looking Forward

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Digitalis.io continues to advance Intellicheck’s Elasticsearch platform with predictive scaling, self-healing infrastructure, and seamless global expansion, ensuring their technology scales alongside business success. This project shows how intelligent automation combined with flexible infrastructure can transform enterprise search into a strategic asset.

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