Top 3 Areas To Automate To Avoid Overpaying Cloud Bills

AWS is one of the most used cloud services across the world. Gartner Magic Quadrant ranks AWS as the largest IaaS providers. AWS services are used by enterprises from every possible domain. Around 1000,000 companies worldwide are using AWS as their IaaS provider.

From Netflix to Unilever to Met Office everyone has moved to cloud infrastructure on AWS. Since you are reading this blog, chances are you are using AWS too, and overpaying too! !

A report suggests enterprises around the globe overpay an amount of 6.4 Billion Dollars for AWS cloud services. An amount that would make at least 6 startups a Unicorn.

Top 3 Areas in AWS Enterprises Must Automate to Avoid Overpaying Cloud Bills

Amount overpaid for AWS solutions = $6.4 Billion

What is it that enterprises are getting wrong while deploying AWS services?

It is dangerously easy to get your organization to move to cloud infrastructure and easier to get it wrong, thus overpaying in hundreds of dollars on AWS deployments. Here are a few pointers:

Top 3 Areas in AWS Enterprises Must Automate to Avoid Overpaying Cloud Bills

Idle and Unused Resources

There are resources that are required only on a case-to-case basis. However, enterprises end up paying for them round the clock. Areas where such resources can be found are development, testing, QA, staging, etc. Similarly, there are resources that are not required anymore. However, they continue to run. Some examples to elucidate would be:

  1. Unutilized or underutilized EC2 instances in sparingly used environments or regions that go unnoticed for months. Result: Your enterprise ends up paying for them.
  2. Unused RDS instances  for a long period of time, especially in a non-production environment. Result: Your enterprise ends up paying for the entire duration.
  3. Outdated snapshots that are retained longer than required. Result: Your enterprise ends up paying for the storage.
  4. Unattached EBS volumes that persist even when an instance is deleted forever. Result: Your enterprise ends up paying for them.

Inefficient Data Management, Data Archiving and Data Retrieval within AWS

With the amount of data enterprises require, irrespective of the industry/vertical, you have to be prudent in how you store and manage the data. Failing to do so can result in your enterprise’s compute costs flying through the roof. Some of the places where you need to efficiently manage data are S3 usage, archiving data, caching data, etc.

Security and compliance

In the early days of cloud adoption, one of the major reasons for enterprises’ reluctance to shift to a cloud was security concerns. Even today, one of the major challenges enterprises face is ensuring a secure AWS infrastructure 24/7.

Despite all measures, enterprises have been victims of security breaches. For instance, in 2017, Accenture accidentally configured four of their AWS S3 buckets as accessible to the public. This meant anyone who could access and figure out one of the bucket’s URL would be able to download the bucket’s content. In the same year, hackers got access to Uber’s GitHub data and were able to extract the AWS credentials of the company.

Automation is the key to efficiently deploy and use AWS

With the augmentation of AWS in an enterprise setup, several factors, such as instance options, management, selection, and deployment of the right solutions become more and more complex to handle.

Despite these limitations, an enterprise can scale on AWS without overpaying! How? Using AUTOMATION!

Top 3 Areas in AWS Enterprises Must Automate to Avoid Overpaying Cloud Bills

Automation of Data Storage Management

Efficient use of S3, proper data retrieval, archiving and information caching methods can help save hundreds of dollars for enterprises. So, automate the following:

  • Scheduled deleting of older backup data stored on S3 after a certain period of time
  • Management of backups and retention of your RDS, EC2 and Redshift resources with snapshots and AMIs, on S3.
  • Moving data from S3 to S3 RRS (Reduced Redundancy Storage) where data is kept in a single region, but backed up at multiple AZs.
  • Cross-region replication to replicate or back-up S3 data to other regions. This automation helps in replicating the data uploaded in the source bucket to a destination bucket in a different region.
  • Caching through services like Amazon Elasticache, which simplifies setting up, managing, and scaling a distributed in-memory cache environment in the cloud.

Automation of Resource Utilization

In an enterprise setup, managing hundreds of AWS EC2 instances poses a huge challenge. Optimizing their usage and avoiding cost wastage are of paramount importance. Read the best practices you must adopt to achieve efficiency in scheduling. Autoscaling definitely helps in utilizing EC2s optimally, however, there are other areas that can be automated, to avoid overpaying, such as:

  • Shutting down unused instances
  • Rightsizing EC2 instances according to the workload
  • Moving workloads to the best-matched EC2 instance types
  • Shutting down related components of EC2 instances not in use, like orphaned snapshots, EBS volumes, etc.
  • Releasing Elastic IPs of non-running instances

You can use our EC2 cost savings calculator to find out how much you can save on compute spend by scheduling your resources, and enabling real-time scheduling.

Automation of Security and Compliance

While AWS security solutions emphasize security protocols, organizations still face challenges while ensuring a robust security infrastructure, and sometimes face security breaches like the ones mentioned earlier in the article. There are two ways in which security issues may arise – inefficient user management and unauthorized access. You can use our security checklist to ensure your architechture is risk-free.

In such cases, automation can help. Here’s how:

  • Using solutions like AWS CloudTrail can help track API usage, which can help in auditing and maintaining compliance controls. However, it is difficult to follow all of them manually while you need to manage an umpteen number of compliance regulations. Automation can help.
  • Tools like Amazon GuardDuty can help the enterprise to monitor your AWS accounts and workloads. It also uses intelligent threat detection to determine malicious activity, and can automatically counter them.

In Conclusion:

AWS is a boon for enterprises for scaling their infrastructure into a secure platform. However, not optimizing the usage can lead to wastage of precious dollars for your enterprise. Automating the critical elements can help enterprises achieve this. And this is where cloud management automation platform like TotalCloud can help you make the most out of your AWS deployments and help you avoid overpaying your AWS bills. Know more …

Top 3 Areas To Automate To Avoid Overpaying Cloud Bills

Smart Scheduling at your fingertips

Go from simple to smart, real-time AWS resource scheduling to save cost and increase team productivity.

Learn More
More Posts

You Might Also Like

Cloud Computing
How To Migrate To Azure Faster?
Migrating from on premise data centers to a cloud provider is always considered a difficult endeavor. From the cost, to the planning and resource allocation, plenty of preliminary work is gone to setting up a cloud infrastructure. Which is why, Microsoft Azure’s new program stands to benefit many organizations still on the fence about migrating to the cloud.
July 21, 2021
Cloud Computing
Everything You Need To Know About Kubernetes Scheduler
When creating a Kubernetes cluster, scheduling the pod to an available node is an important component of the process. This component works under specific rules and technicalities that I’d like to explore in this article...
September 23, 2020
Cloud Computing
20 Cloud Influencers You Should Be Following in 2020
It’s important to follow the right individuals so that you remain on the loop and always find yourself learning things that you were unaware of. These thought leaders and influencers can only be the avenues by which you meet other interesting technologists.
September 23, 2020
Cloud Automation
New In: No-code cloud management workflows for Azure, VMware & Private Cloud (in addition to AWS)
At TotalCloud, we’ve been enabling workflow-based cloud management for AWS to make it intuitive, accelerated, and no-code. Instead of programming cloud management use cases or depending on siloed solutions, we built out a platform that gives you building blocks to assemble any cloud management solution. 
September 4, 2020
Cloud Computing
List of Essential Kubernetes Tools
Kubernetes is a Container-as-a-Service with tons of unique tools to choose from. External tools play a role in integrating with different systems or maintaining control over the clusters you deploy. Manual health checks and troubleshooting is not ideal to keep a system in full health.This list of tools will provide ample support to your containers and have enough configuration to leave management flexible...
August 12, 2020
AWS Use Case Files
TotalCloud Inventory Actions: Giving a new meaning to Cloud Inventory
Learn how the TotalCloud Inventory Dashboard can become equivalent to your cloud provider’s SDK. Carry out any action on any discovered resource with Inventory Actions.
July 30, 2020