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Acura: recuperación ante desastres y respaldo en la nube
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KVM

Cómo Zoom, DoorDash y Atlassian optimizaron los costos de AWS: casos de éxito de 2024 y 2025

Ventajas y limitaciones de adoptar AWS como infraestructura en la nube

Introducción

Amazon Web Services (AWS) continues to be the cloud provider of choice for enterprises worldwide. While AWS offers unmatched scalability, agility, and service breadth, cloud cost optimization has emerged as a critical priority for organizations aiming to achieve operational efficiency and sustainable growth.

In this article, we explore fresh real-world success stories from 2024 and 2025. These companies, not covered in our previous case compilations, showcase how modern FinOps practices and AWS-native and third-party tools helped them significantly cut costs, improve visibility, and align cloud usage with business objectives.

Zoom: Rebalancing costs after the pandemic surge

Challenge: Post-pandemic usage normalization left Zoom with overprovisioned compute and storage resources.

Solution: Zoom adopted AWS Graviton-based EC2 instances for better price performance and implemented S3 Intelligent Tiering to reduce cold storage costs.

Outcome:

  • ~20% savings on compute through Graviton migration
  • 30% reduction in storage expenses
  • Improved resource allocation using AWS Cost Explorer
AWS success stories - Zoom

DoorDash: Scaling efficiently with Spot Instances

Challenge: DoorDash’s dynamic peak usage made relying solely on On-Demand EC2 instances expensive.

Solution: The company implemented a workload orchestration engine that automatically shifted eligible workloads to EC2 Spot Instances.

Outcome:

  • 40% savings on compute-intensive batch jobs
  • Increased reliability through fallback to On-Demand when Spot capacity was unavailable
AWS success stories - DoorDash

Pinterest: Migrating to Graviton2 and serverless architectures

Challenge: Pinterest needed to handle traffic spikes cost-effectively while reducing underutilized infrastructure.

Solution: They migrated several backend services to AWS Lambda and replaced legacy EC2 with Graviton2-powered instances.

Outcome:

  • 25% lower compute costs
  • Better scalability and reduced idle resource costs
  • Faster deployment cycles with serverless
AWS success stories - Pinterest

Atlassian: Improving cost visibility through AWS organizations

Challenge: Diverse teams across Atlassian were using AWS without clear ownership or cost accountability.

Solution: Atlassian standardized tagging practices, implemented AWS Organizations with consolidated billing, and used AWS Budgets for proactive alerts.

Outcome:

  • 15% drop in unallocated expenses
  • Better team-level cost tracking
  • Enhanced cross-department collaboration on FinOps goals
AWS success stories - Atlassian
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Asana: Empowering developers with FinOps culture

Challenge: Engineering teams lacked awareness of cost implications when deploying resources.

Solution: Asana rolled out internal cost dashboards using third-party FinOps tools and AWS native services like CloudWatch and Cost Anomaly Detection.

Outcome:

  • 18% reduction in monthly AWS bills
  • Improved cost ownership among developers
  • Reduced unused or underutilized instances
AWS success stories - Asana

Mercado Libre: Optimizing hybrid cloud strategy

Challenge: Balancing AWS spend with on-premise infrastructure in diverse Latin American markets.

Solution: They moved dev/test workloads to Spot Instances, committed to Savings Plans for steady workloads, and integrated AWS Cost and Usage Reports (CUR) into their internal analytics.

Outcome:

  • 30% overall AWS cost reduction
  • Streamlined hybrid workload placement
  • Stronger budget forecasting
AWS success stories - Mercado Libre

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Conclusiones clave

Graviton and Spot adoption lead the way in compute cost optimization.

Serverless services like Lambda reduce operational burden and idle costs.

FinOps maturity is driven by cultural change and granular cost visibility.

Hybrid and multi-account strategies offer flexibility and control.

Conclusión

Organizations — from global enterprises to digital-native platforms — are actively embracing FinOps principles along with AWS-native and third-party tools to gain control over their cloud spending and drive cost optimization. These new success stories from 2024–2025 highlight the importance of continuous improvement, cost transparency, and scalable cloud governance.

Companies need platforms that empower engineering, finance, and operations teams to scale these benefits, collaborate effectively, and make data-driven decisions. That’s where Hystax OptScale steps in.

Hystax OptScale provides complete visibility into cloud usage, enables precise budgeting, and offers actionable optimization recommendations — all while supporting a strong FinOps culture. Whether your team is managing a single AWS account or a complex multi-cloud setup, OptScale helps you take charge of cloud economics with confidence.

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Noticias e informes

FinOps y MLOps

Una descripción completa de OptScale como una plataforma de código abierto FinOps y MLOps para optimizar el rendimiento de la carga de trabajo en la nube y el costo de la infraestructura. Optimización de los costos de la nube, Dimensionamiento correcto de VM, instrumentación PaaS, Buscador de duplicados S3, Uso de RI/SP, detección de anomalías, + herramientas de desarrollo de IA para una utilización óptima de la nube.

FinOps, optimización de costos en la nube y seguridad

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