The increase in cloud technologies has ignited a revolution by offering productivity, agility, and innovation. Thus, the Google Cloud platform is a cloud computing service that mainly runs on similar infrastructure that Google uses internally for end-user products like Google Search, Gmail, YouTube, and so on.
It also provides a reliable place to compute and store data which helps the developers to develop, test, and deploy the applications. Therefore, this article provides comprehensive knowledge about the Google Cloud platform and the top 10 AI tools used to optimize the GCP Cloud setup
What is GCP?
GCP is a type of public cloud vendor that offers a suite of computing services to do everything from data management to delivering the web and video over the website to AI and machine learning tools. Google Cloud platform is mainly used for developing, deploying, and scaling the applications, websites, and services on the Google environment. It provides many innovative tools for cloud warehousing like BigQuery and real-time data processing tools like Google Cloud Dataflow
Top 10 AI Tools used to optimize GCP Cloud Setup
Many AI tools are used to optimize the GCP Cloud setup. Some of these tools are mentioned below with their features and advantages.
1. PyraCloud
Pyracloud is a single platform used to transact software licenses and cloud subscriptions. It aids in managing budgets and spending for all cloud services. As a fully featured cloud management software, it caters to the needs of both startups and enterprises.
Key Features
- Customizable dashboards as per user needs are present in Pyracloud.
- In Pyracloud report functionalities, and features are present.
- PyraCloud provides big-picture visibility and granular consumption metrics for the companies.
Advantages
- This tool helps in optimizing the costs by reducing the overall spend.
- It also helps in increasing the overall quality of the cloud licensing process.
2. OpenMetal
OpenMetal is a leading provider of open-source private cloud as a service and dedicated servers as a service. It distinguishes itself by ensuring transparent costs without the risk of overruns, a stark contrast to traditional cloud services.
Key Features
- It provides a clear breakdown of expenses by making sure businesses have a thorough understanding of their investment.
- OpenMetal is an innovative VM resource management system that stands out by allowing previously wasted resources to be dynamically redistributed.
- It also makes sure that during the period of low demand, resources are not lying idle.
Advantages
- It is beneficial due to its cost optimization through infrastructure.
- This tool also helps in providing private cloud and bare metal solutions.
3. Cloud Custodian
Cloud Custodian is also known as c7n which is a rules engine for managing the public cloud accounts and resources. It enables the individuals to manage the cloud resources by filtering, tagging, and applying actions to them. Therefore its main purpose is to share how projects work under the hood.
Key Features
- This tool mainly provides support and integration with Azure, GCP, and AWS.
- It is a flexible rules engine with the policies written in simple YAML configuration files.
- It is designed to help organizations maintain security and compliance.
Advantages
- Individuals can immediately make new rules without manually reminding all members of an organization.
- This tool provides account management capabilities.
4. Exivity
Exivity is a cloud and source agnostic billing and metering tool that provides show back, data analysis, and budgeting across a wide variety of data sources. It is a flexible billing tool capable of satisfying the requirements of virtually any IT service delivery model.
Key Features
- It helps in extracting data from any resources on-premise or public cloud.
- This tool helps in rate and cost management.
- This tool provides hybrid cloud billing reports.
Advantages
- It is a type of billing tool that is capable of satisfying the needs of the IT service delivery model.
- It also provides a robust solution for cloud expense management and cost optimization.
5. Densify
Densify is a type of cloud and container optimization solution in the market that mainly delivers the optimization as code and also uses machine learning technology. This tool provides a good level of detail and enables better utilization of resources and easily managed reporting functionalities.
Key Features
- It helps in leveraging the machine learning-based technology to optimize the virtual infrastructure.
- This tool also helps the individual to operate with reduced costs, and better performing applications.
- This tool also helps the individual to make better decisions.
Advantages
- This tool integrates an engine that works every day to align resources with demand.
- It also helps in balancing the infrastructure supply and application demand.
6. Flexera
Flexera is one of the top AI tools that is used to optimize GCP Cloud setup as it provides a comprehensive cloud management platform that includes cost optimization features. This tool also provides businesses the ability to visualize, optimize, and analyze the cloud usage to reduce the costs.
Key Features
- This tool provides detailed cost breakdowns and trend analysis.
- It allocates the costs to multiple departments, projects, or teams.
- It provides recommendations for cost savings such as identifying idle resources.
Advantages
- This tool helps companies to manage and optimize software licenses.
- It offers tools for managing IT assets across cloud environments.
7. GCP Cloud console
GCP Cloud console is mainly used to help the individual deploy, diagnose, and scale the production issues in a simple website-based interface. This tool helps to quickly find out the resources and connect to instances via SSH in the browsers
Key Features
- It helps in accessing all the Google Cloud platform projects.
- Cloud storage stores the data on the Google servers in a cost-effective way.
- It also consists of resource management features.
Advantages
- With the help of Google Cloud console individuals can export the billing data to Big Query.
- This tool mainly focuses on cost tracking and visibility.
8. Looker
Looker tool is used in organizational and business intelligence. This tool helps to access, analyze, and act on the up to date. With the help of looker analytics users can get modern data stack integration and application development features.
Key Features
- It helps to visualize the data through highly configurable charts.
- It can easily connect to multiple data sources.
- This tool helps to collaborate on reports with the team.
Advantages
- It allows to provide important information at the right time through proactive alerts.
- This tool can seamlessly integrate with the pre-existing BI solutions.
9. Harness
Harness is another popular simple, secure way for engineering the DevOps teams and all across the industries. It is used to automate the processes and reduce the manual interventions and consolidate the tools. Therefore Hrness is a type of continuous delivery platform used to automate the CI/CD pipeline.
Key Features
- This tool provides cost management features.
- It integrates with the multiple resources such as repositories and cloud platforms.
- It also provides specialized tools for each step in the software development life cycle.
Advantages
- It helps in empowering the software developer team with AI-infused technology for seamless software delivery.
- It also allows to manage deployments by using git.
10. Kubecost
Kubecost is a type of cost management tool that is designed mainly for Kubernetes and it also provides visibility into the resource and helps individuals to enable the cost of applications and workloads. It also helps businesses to understand their Kubernetes expenditure.
Key Features
- This tool helps in managing the costs across multiple Kubernetes clusters.
- It is designed for organizations that want to manage their costs and can take cost-effective decisions.
- It offers distributed shared costs like networking and storage across the workloads.
Benefits
- It offers detailed insights into the Kubernetes environments
- It helps and make sure that the applications are up to date and detailed cost reports are provided to the users.
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Conclusion
These GCP AI tools are used to monitor, control, and optimize the GCP costs. The Google Cloud platform stands out for multiple powerful reasons and its multiple functionalities. Therefore, in this article, detailed knowledge has been provided about the AI tools which are used to optimize the GCP cloud setup, its features, and their advantages
AI Tools to optimize GCP Cloud setup – FAQs
Define Google Cloud Platform.
Google Cloud Platform (GCP) is a suite of cloud computing services by Google, offering infrastructure, platform, and serverless computing solutions. It enables users to build, deploy, and scale applications on Google’s infrastructure
What is the use of Google Cloud?
Google Cloud provides a wide range of features for the computing services and the client libraries which enables the individual to easily develop and manage the resources.
Name the top AI tools that are used to optimize GCP Cloud setup.
The top AI tools that are used to optimize the GCP Cloud setup are- PyraCloud, Openmetal, Cloud custodian, Exivity, Densify, Flexera, GCP Cloud console, Looker, Harness, and Kubecost.