Smooth Migration of MongoDB & Elasticsearch to AWS
- Nitin Yadav
- Case Studies
About
BatchService.com, a leading property technology company since 2018, provides data-driven tools for real estate professionals.
Industries
- AWS, AWS Cloud Services, Elasticsearch, MongoDB, SquareOps
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Client Overview
BatchService.com, a leading property technology company since 2018, provides data-driven tools for real estate professionals. Their products, including lead generation and skip tracing platforms, serve a diverse clientele, from solo entrepreneurs to tech firms.
To enhance control, cost efficiency, and scalability, BatchService aimed to migrate its MongoDB and Elasticsearch workloads from Mongo Atlas and Elastic Cloud to AWS on Elastic Kubernetes Service (EKS).
Challenges
BatchService.com faced significant challenges due to massive data volumes. MongoDB clusters ranged from 0.5 TB to 1 TB per cluster, while Elasticsearch clusters stored over 12 TB of data across staging and production environments. This data growth led to high hosting costs, with monthly expenses exceeding $30,000. Additionally, limited flexibility in hardware configurations, backup, and recovery options restricted their operational capabilities.
Scalability issues further compounded the problem, as managed service tiers imposed significant scaling limitations. Compliance requirements also posed a challenge, with the need to adhere to HIPAA and PCI-DSS standards for enhanced data security. To address these issues, BatchService sought a self-managed AWS architecture that provided high availability, cost savings, and operational efficiency.
Solution
SquareOps, an AWS Advanced Tier Partner, executed a full-scale migration strategy, ensuring a seamless transition with zero data loss. The infrastructure and architecture underwent significant upgrades, including the migration of MongoDB to high-availability replica sets on AWS EKS. Elasticsearch migration was performed using Elastic Cloud on Kubernetes (ECK) to enable shard optimization and performance scaling.
A zero-downtime data migration process was implemented. For MongoDB, live migration was conducted using replica set synchronization to maintain data consistency. For Elasticsearch, over 12 TB of data was migrated using snapshot and restore methods, along with real-time reindexing. This migration included 15+ production clusters and 10 staging clusters, all completed without any downtime.
Performance monitoring and backup strategies were enhanced through the deployment of Grafana dashboards, which monitored over 200 performance metrics, including query latency, disk IOPS, and replica lag. Advanced backups were implemented at the collection level for MongoDB and index level for Elasticsearch, encrypted and securely stored in AWS S3.
Security and compliance were also strengthened. Data was secured at rest and in transit using AWS KMS and TLS. Role-based access control (RBAC) and audit logging were applied to meet HIPAA and PCI-DSS compliance requirements. Additionally, cost optimization was achieved by migrating workloads to self-managed EKS clusters, reducing hosting costs by 27%, from $30,000 to $22,000 per month.
The Results
- Seamless Migration: Transferred 12 TB+ of data, 5+ billion documents, zero data loss.
- 30% Faster Query Performance: Improved database response times and ensured 99.99% uptime.
- Cost Reduction: Achieved $8,000 monthly savings ($96,000 annually).
- Operational Resilience: Integrated automated failovers & real-time observability via custom monitoring dashboards.
- Scalability: Enabled dynamic cluster scaling, ensuring future-proof growth.
Conclusion
BatchService’s migration to AWS successfully enhanced control, security, and cost efficiency while ensuring seamless scalability. The collaboration with SquareOps Technologies underscores their expertise in large-scale cloud migrations, ensuring high-performance, cost-effective, and future-ready solutions.
Thinking about migrating your databases to AWS? Contact SquareOps today!
About The Partner
SquareOps is a one-stop solution for any enterprise, regardless of size or industry, that wants to grow by taking advantage of the benefits of cloud-native platforms. We are a team of passionate engineers helping businesses set up the right processes and culture of DevOps for different verticals. We help developers understand best practices for coding, security as a basic need, and building pipelines for easy deployments. Our service model feature is a big differentiator from our competitors in the market, as we offer services at affordable prices.
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