Cloud Cost Optimization

Cloud cost optimization and the proper FinOps practices can significantly reduce your overall cloud usage and cost. We can help you find and fix issues with your cloud utilization and introduce FinOps best practices, which can vastly reduce your TCO.

Cloud Cost Optimization

Cloud Optimization Workflow

Following are the steps and procedures that we will follow 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.
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.
Reserved Resources Allocation
Many public cloud providers are offering Reserved Instances or RIs in short. Actually, 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% by 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.
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.
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.
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.
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.
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.
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.

Please reach us if you have any doubts regarding any of our cloud cost optimization procedures.

Plan briefing in under 90 seconds!

Listen to this AI-generated cloud optimization briefing if you still have any doubts or if in a hurry. This will only take under 90 seconds!

Cloud Optimization | FAQ

Most frequently asked questions about Cloud Cost Optimization Service | Read more frequently asked questions

Please, please reach us for cost optimization before migrating to the cloud. That is the perfect time to plan everything and create an optimization strategy. Cloud optimization after the migration is double the amount of work. ( Please note that we are providing cloud migration service and cloud optimization is part of that. )
Also, it will be difficult to change the instance types and storage classes after the migration.

Spot instances are recommended only for fault-tolerant workloads or for batch jobs because the cloud provider will terminate these instances anytime whenever they need these resources back.

It depends on your infrastructure complexity. So, we can’t give you an ETA before the initial review.

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