Cloud Optimization


Cloud Optimization

We help businesses optimize their cloud applications, data, infrastructure to improve performance.

what we offer

We help in analyzing and optimizing the allocation of cloud resources that power applications, infrastructures, and workloads in order to enhance performance and reduce overprovisioning waste.

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the process

Cloud Optimization Workflow

We will follow the steps and procedures as part of the cloud cost optimization. At the end of the process, we’ll get back to you with the details and advice to create FinOps (Cloud Financial Operations) guidelines to avoid future cloud cost-related issues.

Spending History Assessment

SH FinOps experts will review your current and history billing and utilization statistics to check your spending priorities and current cloud cost optimization practices in place. This initial review will give us an insight into the cloud optimization challenges and areas that we need to focus on.

1. Compute Resources Optimization

Compute resource right-sizing is another name for this step. All cloud providers provide different types of instance or compute resource types for various requirements. If you are using the wrong instance types or instance types with resources that you don’t need, you are wasting all that for nothing. We can help you choose the right instance type based on your requirements. Instance Types examples: Amazon EC2 Instance Types Azure Virtual Machine series GCP Machine families Note: We might also need to talk with your development teams to understand your application’s exact resource requirements and details.

2. Reserved Resources Allocation

Many public cloud providers are offering Reserved Instances, or RIs in short. It’s not a resource type but a practice to purchase or reserve cloud resources ( mainly the compute resource ) for 1 to 3 years rather than the pay-as-you-go pricing. You can save up to 70% to 80% using RI’s. RI’s examples: Azure Reserved Virtual Machine Instances Amazon EC2 Reserved Instances GCP: Consuming and managing reservations Besides the infrastructure reviews, we might need to talk with your development teams to know the currently running projects and project durations. That will help us understand where else we can effectively use the RI’s.

3. Resource Elasticity Optimization

Cloud Elasticity is the process of matching the cloud resources to your needs. We can classify Elasticity into two subcategories. 1. Time-based elasticity 2. Volume-based elasticity In the “time-based elasticity”, we can review and automate cloud resources to turn on when we need them and turn off when we are not using the resources. We can review your autoscaling setups in the volume-based elasticity to ensure you have the proper auto-scaling configurations in place and scaling matches the exact demand.

4. Spot Instances Utilization

Spot instances or Preemptible Virtual Machines are an unexplored area in cloud computing for many. Spot VM’s are short-lived compute instances and can last for up to 24 hours ( vary based on cloud provider. ). If you have fault-tolerant workloads, testing, or batch jobs running, then these are the right instance type that you can use. Spot instances examples: Amazon EC2 Spot Instances Azure Spot Virtual Machines GCP: Preemptible Virtual Machines By using Spot instances or Preemptible Virtual Machines, you can save up to 80% to 90% on your compute engine cost, and our team can help you find areas where you can effectively use spot instances.

5. Storage Cost Optimization

Like in compute engines, cloud providers provide different storage solutions and storage classes for various requirements. If you are not using the right storage class, maybe that is where your money is going. Storage classes examples: Amazon S3 Storage Classes Azure Storage Services GCP: Storage Classes Our FinOps team can check your currently allocated storage resources and can and correct these for you.

6. Implement Cost Management Practices

All cloud providers have inbuilt cost management tools, and most of them are free of charge. But maybe because of the lack of required skills to manage these tools, only a tiny percentage of cloud users fully utilize these cost management tools and practices. For example, one of the basic cost management practices is using cost allocation tags, but from our experience, only a few are effectively using it. Cost management examples: Cloud Financial Management with AWS Azure Cost Management and Billing GCP: Cost Management We can bring these changes to your FinOps, and that will give you more insight into what is happening with the financial side of your cloud and make the FinOps easy for you besides saving money.

7. Check Multi-Cloud Possibilities

Multi-cloud is not a technology but a practice of using more than one cloud provider. Few of the benefits of multi-cloud including; voiding vendor lock-in, more flexibility, and competitive pricing. We can help you develop a better, cost-effective multi-cloud strategy. Multi-cloud is an intelligent investment strategy with higher efficiencies.

8. Provide FinOps Advices

Once we perform all the cloud optimization steps and strategies, we’ll get back to you with the details and give you advice on best practices, cloud optimization techniques, and procedures that you need to apply in the future to keep everything in order. We’d recommend passing these details to your staff, teams, and everyone who has access to your cloud. Because we believe an optimized cloud is a shared responsibility and we all need to work together to get the best results.


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