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Seamless migration of Elasticsearch to Elastic Cloud for an AgriTech leader

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30.1 TB of data migrated with zero data loss

Client

The client is a technology-driven AgriTech company providing real-time agricultural insights and analytics. Their platform supports critical search and monitoring functions across production systems serving thousands of users.

Project Context

The client needed to migrate 30.1 TB of Elasticsearch data from their on-prem setup to Elastic Cloud without impacting daily production. Their environment included complex user access controls, alerting systems, and over 60,000 daily search hits.

Challenges

- Live data ingestion during migration
- Hot node saturation during restoration
- Complete configuration migration without data loss
- Ensuring smooth transition with minimal downtime

Solution

- Dual Google Pub/Sub topics enabled parallel data capture
- Full configuration migration (roles, alerts, agents) using Kibana APIs and snapshots
- Resolved JVM spikes by adjusting index allocations and tuning ILM policies

Project Objectives

- Seamlessly migrate on-prem Elasticsearch to Elastic Cloud
- Ensure data integrity and near-zero downtime
- Transfer user access, alerting, and agent configurations
- Resolve hot node saturation and optimize performance

Solution Delivery

SquareShift executed the migration with less than 5 minutes of downtime using a dual Pub/Sub pipeline. They migrated all Kibana objects, fine-tuned ILM strategies, and conducted post-migration validation with full documentation and training handover.

Testimonial

SquareShift ensured our production migration was seamless, secure, and perfectly optimized for the cloud.

Technology Stack

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