Optimize your instance type for utilization and availability over performance alone

1.33 Million developers use Vangal for cloud optimization

1.33 Million developers use Vangal for cloud optimization

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With Vangal you can right size your services to meet exactly the capacity requirements you need without having to over-provision or compromise capacity. With Vangal, you can adapt your services to address actual business needs at any time, with no penalties or incidental fees.

With Vangal you can choose services that meet your existing business needs, and as your demands change, you can easily shift to the services option that meets your new requirements. With Vangal you can also run multiple service options concurrently, helping you reduce costs and still maintain optimal performance.​

Best practices to lower your cloud costs

Compute

Storage

Cost Optimization Techniques from the Pros

To schedule a demo, contact us at sales at  vangal.com

Rightsizing reports analyze performance monitoring data for individual virtual machines and then recommend changes to resource allocation. Such a report might, for instance, identify a poorly performing virtual machine and recommend that additional resources be allocated. More often, however, rightsizing reports find that virtual machines have been provisioned with more resources than they need. Reclaiming these resources may make it possible to achieve a higher overall virtual machine density, thereby reducing costs.​


In addition to running rightsizing reports, a cloud management platform can also gather performance metrics to determine the average and peak resource consumption of an instance over a configurable period. If these remain below a threshold, the CMP will recommend a change to a smaller, more appropriate instance type.

With configurable rightsizing rules, you can enforce more aggressive rightsizing thresholds for less critical workloads, leading to even more savings. For example, you might configure a threshold for downsizing a less critical workload when CPU usage is less than 50%, but downsize a critical workload only when CPU usage is less than 25%.


​It’s important to manage capacity and sprawl in an integrated fashion, such that both IT and the end consumers of IT services have visibility of their workload capacity needs. Providing rightsizing recommendations ensures that the infrastructure is optimized for the real needs of the business. Moreover, giving stakeholders rightsizing visibility empowers the end IT consumers to make knowledge-based decisions in real time.

69% of Fortune 1000 companies use Vangal

Vangal manages over $23 Billion Cloud Spend

Our customer success stories document 25% - 30% savings consistently for over 92% of our clients.

View our known optimization techniques for saving on your AWS and Azure bill

Find and delete Elastic Block Storage volumes which are used but still attached to your EC2 instances 

Knowledge Center

Vangal

Auto Scaling

We are over 20 ex AWS and Microsoft Azure developers, product managers and solution architects with 250+ years of combined experience on the cloud. Since 2015, Vangal has saved over 450K organizations more than $3.2 Billion on cloud costs.


Vangal is a cloud hosted, analytics and optimization software solution with consulting support in all AWS, Azure and Google Cloud regions and availability zones. Learn more about us and our team.

Save 25% on AWS, Azure, or Google Cloud


Availability Zones

Vangal manages over $23 Billion Cloud Spend

Continuous cloud cost management

AWS, Microsoft Azure, Google Cloud Platform

Benchmark your service profile against others of the same size and industry to optimize your auto scaling

Free Assessment

Some availability zones such as US East and EU West are less expensive for compute than others

We offer a free bill assessment and review of your AWS or Azure bill for 1 month.


We guarantee savings of over 25% in under 3 months of our assessment and implementation. If we cant save you 25%, you can use our software for free for one year!

Vangal use meta heuristics and machine learning, automating over 157 known cost optimization techniques to lower cost of cloud storage, compute and services. These include:

  • Storage Class Selection
  • Compute Cost Management
  • Auto Scaling Automation
  • Region and Availability Zone Optimization ​