Cloud resource optimization

5 min Read

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

Case studies

More engineering wins

Case studies
Cost Optimization / FinOps
BY {Name Writer}

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.

Case studies
Multi-Cluster & Multi-Cloud Management
BY {Name Writer}

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.

Case studies
Cloud Foundations
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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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