Cloud resource optimization

Table of contents
Problem
An influx of users creates unique problems
In 2018, Mailchimp’s acquired Sawa, an automated graphic design tool. This acquisition meant new capabilities for Mailchimp’s millions of active users, who could now access this a new “Creative Assistant” tool.
However, as users of Creative Assistant skyrocketed, so did the cost and management overhead of the Google Cloud resources it used.
Solution
Cloud resource optimization at scale
Tensure partnered with Mailchimp’s engineering team to understand the optimal resources necessary to run specific workloads. Then, we migrated the product from Compute Engine to AppEngine so it could scale to meet the increase in user demand at a better price. Additional migration of workloads to managed solutions such as Spanner, Cloud Run, and Cloud functions allowed for a consumption-based model that far outperformed the previous fixed-cost infrastructure.
Benefits
Superior scale at a better price
With a new Cloud Cost Management strategy and infrastructure, Mailchimp experiences several benefits:
- 60% increase in application performance
- 40% reduction in monthly consumption rate
- 100% Automated deployment pipelines
More engineering wins
Cost Optimization / FinOps
Cost Optimization / FinOps
Cost Optimization—also known as FinOps—integrates financial accountability into the engineering workflow. By embedding cost visibility and controls directly into the platform, organizations can optimize cloud spend, reduce waste, and make informed trade-offs between speed, performance, and cost.
Multi-Cluster & Multi-Cloud Management
Multi-Cluster & Multi-Cloud Management
Multi-Cluster & Multi-Cloud Management allows organizations to operate seamlessly across multiple Kubernetes clusters and cloud providers. Platform engineering abstracts the complexity of distributed environments, ensuring governance, consistency, and control at scale through unified configuration and automation.
Cloud Foundations
Cloud Foundations
Cloud Foundations provide the secure, scalable base upon which all modern applications run. By defining organizational structures, networking, IAM policies, and security baselines, platform engineering ensures every workload operates within a consistent, compliant, and well-governed cloud environment.
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