AWS cost allocation tags explained

AWS cost allocation tags can be a powerful tool for organizations looking to better manage and understand their AWS costs. Users can assign metadata to resources, making it easier to track costs. Whether you are just getting started with AWS or are looking to optimize your AWS cost management practices, understanding cost allocation tags can be an important step toward achieving your goals.

Purpose of tagging in AWS

Applying tags is crucial for almost every AWS user because it helps to organize and manage resources in a more efficient and effective way. Without tags, it can be difficult to keep track of resources, especially in larger and more complex environments. Tagging resources provides a way to add metadata to resources, making it easier to identify, categorize, and manage them.

Imagine a scenario where an organization has hundreds or thousands of EC2 instances running across multiple regions and accounts. Without tags, it would be challenging to keep track of which instances are used for development, testing, or production environments. With tags, it becomes easier to filter, search, and organize instances based on their purpose, making it simpler to manage resources and ensure that they are used appropriately.

In addition to making it easier to manage resources, tags can also be used for aws cost allocation and chargeback. By tagging resources with specific values, such as department or project, organizations can allocate costs to the appropriate teams or individuals. This can help to improve accountability and reduce waste, as teams are more likely to be mindful of their resource usage when they are aware of the associated costs.

Also, tags can be used to improve security and compliance. By tagging resources with specific values, such as classification level or compliance requirements, organizations can ensure that sensitive or regulated resources are properly secured and monitored. This can help to reduce the risk of security breaches and ensure that organizations are meeting their compliance obligations.

Avoiding cost allocation tags issues

There are many guides on applying tags to your resources, yet there are several common mistakes that users can make when doing it in AWS. Here are a few examples and some tips on how to avoid them:

  • Inconsistent tagging

One of the most common mistakes is using inconsistent or incomplete tags across different resources. This can make it difficult to search and organize resources and can lead to confusion when trying to determine the purpose of a resource. 

To avoid this mistake, establish a clear set of tagging conventions and ensure that all resources are tagged consistently. Consider using automation tools like AWS Config or AWS Resource Groups to enforce tagging standards across your environment.

  • Overcomplicating tags

Another mistake is creating overly complex tags that are difficult to understand or manage. For example, using tags with multiple values or long descriptions can make it challenging to search for resources and allocate costs accurately. 

To avoid this mistake, keep tags simple and easy to understand. Use descriptive values that are easy to search for, and avoid creating tags with multiple values unless necessary.

  • Using non-standard or ambiguous tags 

Non-standard or ambiguous tags can make it difficult to manage and monitor resources. For example, using abbreviations or acronyms that are not commonly understood can lead to confusion, while using vague tag values like “miscellaneous” or “other” can make it hard to understand the purpose of a resource. 

To avoid this mistake, use standard tag values and conventions that are commonly understood across your organization.

  • Failing to update tags

Another common mistake is failing to update tags as resources change or evolve over time. For example, if a resource is repurposed or decommissioned, it is important to update the associated tags to reflect the new state of the resource. To avoid this mistake, establish a process for reviewing and updating tags on a regular basis. Consider using automation tools to alert you when resources are no longer being used or are no longer compliant with tagging standards.

By avoiding these common mistakes and following best practices for tagging, users can ensure that their resources are properly categorized, making it easier to manage and monitor them over time.

Summary

Applying tags is crucial for almost every AWS user because it helps to organize and manage resources more efficiently, allocate costs more accurately, and improve security and compliance. By following best practices for tagging, organizations can ensure that their resources are properly categorized, making it easier to manage and monitor them.

Our cost optimization expert can help you to set up or improve AWS cost allocation tags. Just use this link to book a meeting if you have any questions on this matter.

12 Tools for Your Container Orchestration

Containerization has revolutionized software development and deployment, allowing organizations to build, test, and deploy applications faster and more efficiently. However, as the number of containers grows, managing and scaling them becomes increasingly challenging. Container orchestration is the process of managing and automating the deployment, scaling, and operation of containerized applications. In this article, we will explore twelve tools for container orchestration.

What is Container Orchestration and How You Benefit from It

Container orchestration is the process of managing and automating the deployment, scaling, and operation of containerized applications. Containers are a lightweight and portable way to package software code and dependencies, making it easier to move applications between different environments.

Container orchestration provides a way to manage containers at scale, making it easier to deploy and run applications in a distributed environment. With container orchestration, you can:

  • Simplify deployment: Container orchestration makes it easier to deploy applications by automating the process of creating, deploying, and updating containers.
  • Improve scalability: Container orchestration allows you to scale your applications up or down based on demand, making it easier to handle spikes in traffic.
  • Enhance reliability: Container orchestration provides features such as load balancing and self-healing, which help ensure that your applications are always available.
  • Increase efficiency: Container orchestration allows you to optimize resource usage by running multiple containers on a single host, reducing infrastructure costs.

To take advantage of container orchestration, you need to use a container orchestration platform. There are several container orchestration platforms available, each with its own features and benefits. In the next section, we’ll take a closer look at some of the popular container orchestration tools.

Overview of Available Tools

  1. Kubernetes – Kubernetes is currently the most popular container orchestration tool in the market. It’s an open-source platform that provides a wide range of features such as automatic scaling, load balancing, and self-healing.
  2. Docker Swarm – Docker Swarm is a native clustering tool for Docker containers. It’s easy to use and provides features such as rolling updates and service discovery.
  3. Mesos – Apache Mesos is a distributed systems kernel that provides features such as resource isolation and dynamic allocation. It supports multiple container runtimes, including Docker.
  4. Nomad – Nomad is a simple and flexible container orchestration tool that supports multiple scheduling algorithms and can run on multiple platforms.
  5. Rancher – Rancher is an open-source container management platform that provides features such as multi-cluster management, automated deployment, and centralized logging.
  6. Amazon ECS – Amazon Elastic Container Service (ECS) is a fully-managed container orchestration service that runs on Amazon Web Services (AWS). It provides features such as automatic scaling and integration with other AWS services.
  7. Google Kubernetes Engine – Google Kubernetes Engine (GKE) is a fully-managed Kubernetes service that runs on Google Cloud Platform (GCP). It provides features such as automatic scaling and integration with other GCP services.
  8. Azure Kubernetes Service – Azure Kubernetes Service (AKS) is a fully-managed Kubernetes service that runs on Microsoft Azure. It provides features such as automatic scaling and integration with other Azure services.
  9. OpenShift – OpenShift is a container application platform that provides features such as integrated container registry, automated builds, and continuous delivery.
  10. Docker Enterprise – Docker Enterprise is an enterprise-grade container platform that provides features such as container security, automated operations, and integrated registry.
  11. Portainer – Portainer is a simple and easy-to-use container management platform that provides features such as user management, container management, and container logs.
  12. Kubernetes Operations (kOps) – kOps is a tool that automates the deployment, scaling, and management of Kubernetes clusters on AWS. It provides features such as automated updates and backup and restore.

Each of these container orchestration tools has its own strengths and weaknesses, so it’s important to choose the one that best fits your specific needs. 

Сonclusion

Сontainer orchestration has become an essential part of modern software development and deployment, and it’s important to choose the right tool for your organization’s specific needs. The twelve container orchestration tools discussed in this article are likely to be popular in 2023, and each one offers unique features and benefits. Kubernetes remains the most popular tool in the market, but there are other options such as Docker Swarm, Mesos, Nomad, Rancher, Amazon ECS, GKE, AKS, OpenShift, Docker Enterprise, Portainer, and kOps. By enabling container cost optimization, you can take full advantage of the benefits of container orchestration, such as simplifying deployment, improving scalability, enhancing reliability, and increasing efficiency, while also reducing infrastructure costs. With the right container orchestration tool, organizations can streamline their software development and deployment processes, improve application performance, and ultimately deliver better experiences to their users.

If you experience issues with choosing the most appropriate tool that will fit your needs, you can schedule a call with our Cloud Expert. 

How to reduce COGS with AWS Cloud cost optimization

COGS is a reflection of how much money you spend on the goods or services your customers buy. It describes the direct expenses required in creating and maintaining subscription-based software services at a software-as-a-service (SaaS) business. Anyone who has ever used any cloud services can confirm that the cost of cloud computing can become one of the largest expenditure items on that list. Cloud costs are very erratic; they shift as you add more clients, commission more features, and drive more traffic with viral marketing campaigns. You need to be accurate with your cloud management, finance, and even engineering in order to maintain your metric at the needed level. For instance, the costs of testing software features in production or increasing your customer’s resources can suddenly boost COGS. This gets us to the idea that using cloud cost optimization to track and cut back on wasteful spending is an excellent method to raise COGS.

In the previous article about COGS overview, we gave you a straightforward example of how to calculate COGS for a typical SaaS company and discussed the benefits of tracking this statistic. This article will provide you with recommendations on how to handle your AWS cloud cost optimization so that it reduces your COGS.

Implement cost allocation

You might never know how much you spend on each feature, client, or project in your app if you can’t track costs back to them. It could mean being unable to report higher gross margins that would increase your valuation, attract investors, and make it easier to service operating costs.

Unfortunately, most cloud service providers combine all fees into a single monthly invoice. As a result, it is highly challenging to eliminate items like non-production resources from the COGS calculation. However, each SaaS company’s COGS will vary depending on its particular business strategy, industry, compliance rules, and other elements. To suit your unique business requirements and development process, you must apply cost allocation.

Identifying, aggregating, and assigning costs to cost objects are the steps in the cost allocation process. Products, research projects, customers, sales regions, and departments are a few examples of cost objects. Businesses can determine the costs associated with running various applications and services within their organization by creating explicit cost allocation.

You don’t need to create anything by yourself; most vendor-provided or third-party cloud cost optimization tools provide you with built-in tagging functionality.

To link AWS costs to conventional cost-allocation dimensions, organizations frequently use tags like cost center/business unit, client, or project. However, any tag can be included in a cost allocation report. This makes it easier to link expenses to technical or security factors like particular apps, environments, or compliance initiatives.

Cost Analysis for the Cloud

Analyzing your cloud costs is the next step in lowering COGS with cloud cost optimization.

You must determine how much you are spending on cloud services, which expenses should be included as part of COGS, and what is causing the costs of each of these items to increase.

You can find areas where expenses can be reduced by analyzing your cloud costs: idle resources, overprovisioned resources, and ineffective instance usage. You can start optimizing your cloud costs to lower your COGS only after you have a thorough understanding of them.

Regardless of your requirements or background, it makes sense to think about using a cloud cost optimization tool to obtain basic cost analysis capabilities, such as cost monitoring and alerts on cost changes.

Choose the Appropriate Pricing

You can significantly reduce your COGS costs by choosing one of the many pricing options offered by AWS. When a component of your environment can fulfill the requirements for a certain commitment, you can switch to a more appropriate billing type to cut down the costs.

On-Demand

With this type of pricing, you can avoid the high fixed costs and complicated planning, buying, and maintaining hardware requirements, only paying for the resources you use.

Reserved instances

For companies that use cloud services for extended periods of time, reserved instances (RI) are a cost-effective choice. Businesses can see significant cost savings by reserving cloud capacity for a predetermined time period as opposed to using on-demand instances because reserved instances have lower hourly rates than on-demand instances. Businesses can lower their cloud costs and, as a result, their COGS by using reserved instances.

Savings Plans

Another customizable pricing structure that offers savings of up to 72% on your AWS computing utilization is called Savings Plans. No matter the instance family, size, operating system, tenancy, or AWS Region, this pricing model offers cheaper charges for the use of Amazon EC2 instances. Similar to EC2 Reserved Instances, Savings Plans offer significant savings over On-Demand Instances in return for a commitment to consume a certain amount of compute power (measured in $/hour) over a one or three-year period.

Also, you can keep buying RIs to keep them compatible with your current cost management procedures, and they will operate in conjunction with savings plans to lower your entire expenditure.

Spot Instance

A sort of Amazon EC2 instance called a spot instance enables you to place a bid on available EC2 capacity. Spot instance costs can be up to 90% less than on-demand instance costs. Workloads that can be interrupted, such as batch processing, rendering, or data analysis, can use this option.

Monitor and Improve Your Resource Use

According to Gartner, 35% of cloud spend is wasted. Overprovisioning of resources, which results in unnecessary expenses, is one of the key causes. To find inefficiencies and chances for cost savings, it becomes important to set up ongoing monitoring of cloud environment usage.

You can rightsize your resources to correspond with their actual demand using the analytics you already acquired. On the one hand, you can prevent overprovisioning resources, which can result in waste and extra costs. On the other hand, you can also prevent underprovisioning resources, which can result in poor performance and additional expenses.

Sometimes the choice between these rightsizing alternatives is harder than it appears to be. Thus the best advice is to inform the budget owners with your cost and usage data that is tied to the business units whenever you run onto a crossroads. This will assist you in making decisions that not only reduce costs but also aligns with the business strategy and goals.

As an illustration, imagine you are the Engineering Manager for a SaaS business that provides a messaging platform and stores the messages of your clients for no charge. One day, you realize that 30% of your COGS is spent on storage. Present this information and decide whether you need to start charging more for storage or whether it would be better to employ an engineering solution to decrease the price of storage.

Use Cloud Cost Optimization Tools

There are a lot of ways how a typical cloud cost optimization tool can assist companies in lowering COGS by offering real-time cost analysis. Yet, there are a few more elements that can assist you in lowering the price of your production.

Automatization of Routine 

By configuring auto events, such as assigning tags or ownership for each new resource you can cover more instances and do more accurate allocation. Turning instances on and off automatically in accordance with provided timetables allows you to spend less time on reducing your direct cost manually; moreover, it provides higher results.

View Cost Breakdown

An average tool provides you with a detailed cost breakdown right from the box. Use it to analyze your costs and understand where your money is being spent. This can help you identify areas where you can reduce costs by adjusting usage patterns, selecting a lower-cost service or changing pricing type.

Optimization opportunities

These tools can assist companies in identifying areas where they can cut back on cloud costs, such as unused resources, idle instances, or ineffective instance usage.

Calculate Upcoming Costs

Some tools use your prior usage patterns to forecast your costs in the future. This can assist you in budgeting for upcoming costs and selecting the best use of resources.

Monitor and Alert on Cost Changes

The tool can monitor your usage patterns and alert you when costs change significantly. This can help you stay on top of your expenses and take action to reduce costs when necessary.

Conclusion

In conclusion, cloud cost optimization is a crucial strategy for businesses that want to reduce their COGS. By analyzing cloud costs, utilizing reserved and spot instances, optimizing resource usage, using comfortable cloud cost optimization tools, and implementing cost allocation and accountability, businesses can reduce their cloud costs and with that ultimately reduce their COGS.

Hope this article was useful and interesting for our readers. In one of our next articles, we are going to publish materials with examples on how to apply the described plan to a real AWS cloud cost optimization use case.