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Reduced Operational Cost by 70%: Migrating from Rundeck to AWS Batch for a Leading Content Marketing Platform

Transforming Cost Efficiency: How Migrating to AWS Batch Slashed Operational Costs by 70% for a Content Marketing Leader

Cost Reduction: Achieved a 70% reduction in operational costs by utilizing AWS Batch for more efficient resource management and scaling.
100 %
Scalability & Performance: AWS Batch enabled handling of a 150% increase in workload without performance issues and improved system performance by 40%.
50 %
Operational Efficiency: Automation of batch processing and orchestration cut manual intervention by 60%, optimizing resource allocation for critical tasks.
60 %

Company Overview

A leading company in the content marketing domain, this organization helps brands and their customers connect through high quality, relevant content. The platform enables companies to produce and disseminate their own content, improving customer acquisition, building brand loyalty, and sustaining interest in their offerings. The company also owns a marketing analytics software that helps marketers compute ROI and improve outcomes across integrated digital and social channels.

Issue

High Operational Costs: Elevated costs associated with using Rundeck for batch processing.

Need for Scalability: Requirement for a more scalable and efficient solution to manage growing workloads.

Migration Disruption: Ensuring minimal disruption during the transition from Rundeck to the new solution.

Performance Enhancement: Improving the overall performance and reliability of batch processing operations.

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Solution

Migration to AWS Batch Moved
batch processing operations from Rundeck to AWS Batch, leveraging AWS’s scalable infrastructure for enhanced performance and efficiency.

Automation & Orchestration Implemented AWS Lambda for job management and AWS Step Functions for orchestrating complex workflows and managing job dependencies.

Monitoring & Transition Utilized AWS CloudWatch for monitoring and alerting, ensuring smooth operations and a seamless transition with minimal downtime through meticulous planning.

AWS Batch job queue management

Impact

Cost Savings & Efficiency

Migrating to AWS Batch reduced operational costs by 70% and automated batch processing, cutting job execution time by 40%

Scalability & Reliability

Leveraged AWS Batch’s scalable architecture to efficiently handle increased workloads, supporting effective business growth

Resource Optimization

Reduced manual intervention and improved operational efficiency, enabling better allocation of resources to strategic initiatives.

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