GCP Cost Optimization

Using a cloud cost optimization tool is important for organizations that want to reduce cloud costs and improve efficiency. The tool can provide detailed visibility into cloud spending and identify areas where costs can be reduced by shutting down underutilized resources or optimizing resource usage.

Maximizing savings with Committed-use Discounts

Committed Use Discounts (CUDs) can be used to optimize Compute Engine and Cloud SQL costs by committing to a certain level of usage for a specific period of time. This allows businesses to receive a discounted hourly rate for their usage, which can result in significant cost savings.

When to use CUDs:

  • When you have a predictable and consistent workload that can be committed to a specific level of usage for a certain period of time.
  • When you are able to make the commitment for a period of 1 or 3 years.

How to use CUDs:

  • Start by determining the level of usage that you expect to need for your workloads.
  • Then, choose the appropriate commitment term (1 or 3 years) and purchase the CUDs.
  • Finally, apply the CUDs to your Compute Engine and Cloud SQL instances to receive the discounted hourly rate.

It is important to note that CUDs are applied to specific projects and resource types, so businesses should ensure that they are applying the CUDs to the appropriate projects and resources to maximize cost savings. Additionally, it is important to monitor usage and adjust CUD commitments as needed to ensure that you are not over-committing or under-utilizing resources.

Say farewell to high cloud costs and hello to savings!

Tired of cloud costs that are sky-high? Economize to the rescue!

On average, users save 30% on their cloud bills and enjoy a reduction in engineering efforts. It's like finding money in your couch cushions, but better!

When is it ideal to use Google Cloud Platform Spot Virtual Machines?

Google Cloud Platform Spot VMs are a cost-effective option for running workloads that can tolerate interruptions. They are pre-emptible virtual machines (VMs) that are made available at a discounted price compared to on-demand VMs, in exchange for the possibility of being terminated by GCP with a short notice (30 seconds) when the spot instances are needed by other customers with higher priority.

Some examples of workloads that can benefit from using GCP Spot VMs include:

  • Batch jobs: These are typically non-interactive workloads that can be stopped and resumed without any negative impact. Examples include data processing, analytics, and rendering.
  • Stateless workloads: These are workloads that do not maintain any persistent state, and can easily be replaced by another instance if needed. Examples include web servers and load balancers.
  • Fault-tolerant workloads: These are workloads that can continue to function even if one or more instances are terminated. Examples include distributed systems and applications that use auto-scaling.

Identifying cost saving opportunities with GCP Active Assist

GCP Active Assist provides real-time guidance and suggestions to help users troubleshoot and optimize their GCP resources. It can help users identify and resolve issues related to performance, cost, security, reliability, manageability and sustainability, GCP calls it “Recommenders”. It also provides automated remediation actions to help users quickly resolve problems and improve the overall health of their GCP resources through Recommendations Hub. These Recommendations can also be consumed via Recommender API or exported to BigQuery on a scheduled manner.

The VM Machine Type Recommender is one of the most used features. It looks at how VMs have been used in the past to suggest the best machine type for your workload and usage. It takes into account data such as CPU and memory usage, as well as how many vCPUs and how much memory is allocated to the VMs. It also considers the cost of the different machine types so you can get the most cost-effective option.

The recommender can also detect VMs that are underutilized or idle and suggest shutting them down or resizing them to save money. It can also detect VMs that are overutilized and suggest upgrading them to improve performance.

The recommender relies on machine learning algorithms to make its recommendations. They are updated in real-time as new usage data becomes available, which lets the recommender adapt to changing usage patterns and make more accurate recommendations.

The missing piece of your cloud provider

Why waste hours tinkering with a spreadsheet when Economize can do the heavy lifting for you 💪

Let's upgrade your cloud cost optimization game!

Get Started Now

Measure and Manage your resources with Cloud Asset Inventory

Cloud Asset Inventory helps in optimizing resource allocation. It can provide detailed information about the resources in use, such as the resource type, location, and size. This information can be used to optimize resource allocation by identifying resources that are over or under-allocated, and adjusting them accordingly. This can effectively provide cost forecasting to help users plan and budget for their future GCP usage. This allows users to make informed decisions about their resource usage and reduce costs.

While Cloud Asset Inventory can be a powerful tool for tracking resource changes, there are some limitations to be aware of:

  1. Limited historical data: Cloud Asset Inventory may not retain historical data for an extended period of time, which can make it difficult to track long-term resource changes or trends.
  2. Limited visibility into certain resources: Some resources, such as cloud services or applications, may not be fully visible to Cloud Asset Inventory, which can make it difficult to track changes to those resources.
  3. Limited integration: Cloud Asset Inventory may not be able to integrate with other tools or systems, which can limit the ability to track resource changes in a centralized way.

Reports

Get a clear, comprehensive view of your cloud costs with our detailed reports. You can drill down into specific areas of spending, and see how your costs are changing over time.

Incidents

Stay on top of your cloud costs by getting notifications when unexpected spikes in spending occur. You can quickly identify and investigate any unusual activity, so you can take action to keep your costs under control.

Explorer

Get a comprehensive view of your cloud assets and usage. With this feature, you can easily navigate and understand your cloud environment, identify underutilized resources, and make informed decisions about scaling and optimization.

Testimonial Section

Testimonial Title

[testimonial goes in here] lorem ipsum is a placeholder text to demonstrate the visual.

Customer Name

Company Name
Testimonial Title

[testimonial goes in here] lorem ipsum is a placeholder text to demonstrate the visual.

Customer Name

Company Name
Testimonial Title

[testimonial goes in here] lorem ipsum is a placeholder text to demonstrate the visual.

Customer Name

Company Name
Testimonial Title

[testimonial goes in here] lorem ipsum is a placeholder text to demonstrate the visual.

Customer Name

Company Name
Testimonial Title

[testimonial goes in here] lorem ipsum is a placeholder text to demonstrate the visual.

Customer Name

Company Name
Testimonial Title

[testimonial goes in here] lorem ipsum is a placeholder text to demonstrate the visual.

Customer Name

Company Name
We're the best in this business
The cloud cost tool for every business