Top 12 GCP Cost Optimization Tools

Enticing advantages like per-second billing and a complimentary 12-month trial plan drive the growing migration of businesses to the Google Cloud Platform. However, this surge in adoption has resulted in increased expenses, particularly attributed to escalating storage costs.

Recognizing this challenge underscores the critical necessity for GCP cost optimization tools. These tools are pivotal in enhancing financial viability, optimizing resource utilization, and generating substantial cost savings.

In this blog post, we delve into a comprehensive exploration of 12 crucial GCP cost optimization tools. These insights are aimed at fortifying your cloud cost management strategy, empowering you to navigate this journey effectively.

We advocate for transparent cloud expenditure, emphasizing the importance of comprehending how your cloud budget is allocated. This transparency is key to recognizing the factors, rationale, and specific components that impact your cloud expenses.

Access to this level of understanding empowers you to make informed decisions. Whether it involves reducing unnecessary costs or strategically increasing investments in areas with high potential returns, this visibility optimizes your cloud financial management effectively.

In line with this perspective, we've recently delved into cost optimization tools available in Azure and AWS. As part of our ongoing commitment to provide comprehensive insights into cost management, we now present an exploration of 12 GCP cost optimization tools in this continuing series.

Introduction To Google Cloud Platform

Google Cloud Platform (GCP) offers a comprehensive suite of cloud services encompassing virtual machine server space, internal networks, VPN connections, disk storage, Software as a Service (SaaS) applications for machine learning, and cutting-edge Tensor Processing Units (TPU).

While arriving later to the cloud computing scene, Google Cloud Platform( GCP ) has made a significant impact, hosting over 1.42 million websites, including notable brands like Spotify. Despite competing with industry giants like AWS and Microsoft Azure, GCP has emerged as a strong competitor due to its distinct advantages:

  • Affordable pricing: GCP's introduction of per-second billing is a standout benefit, aligning charges more accurately with actual service usage. This precision enhances cost efficiency, ensuring fair billing based on the actual time services are utilized.
  • High availability: Renowned for stability, GCP ensures uninterrupted service even during potential downtime. With a commitment to 99.99% uptime as per its Compute Engine Service Level Agreement, users value its consistent and reliable performance.
  • Ease of use: Setting up on GCP is notably user-friendly, offering preconfigured solutions that include essential components like storage disks and databases. This streamlined approach simplifies onboarding, enabling users to initiate projects without complex configuration hassles.

However, this increasing adoption also increases cloud costs primarily due to cloud wastage. According to Flexera's 2021 findings, companies allocated around 30% of their cloud budgets to cloud waste. In the year 2022, they witnessed a discernible upturn, with this percentage rising to 32%. A StormForge study on 131 IT professionals reported that cloud waste is increasing to as much as 47% of the total cloud budget with increased cloud spending. This is why there is a need for GCP optimization tools that can help bring down the cost by ensuring efficient resource allocation.

What Is A GCP Cost Optimization Tool?

A GCP cost optimization tool is a software solution created to efficiently manage and optimize an organization's expenditure on cloud services. These tools are designed to tackle the dynamic and intricate nature of GCP environments, where resource consumption and expenses can vary based on demand, application workloads, and various other factors.

Benefits Of the GCP Cost Optimization Tool

GCP cost optimization tools offer a range of advantages for organizations aiming to manage and optimize their cloud expenditure effectively. Here are the key benefits:

  • Cost Savings: Optimization tools assist in identifying and eliminating unnecessary or underutilized resources, reducing overall cloud costs. Further, these tools provides recommendations for right-sizing and helps in automated scaling to ensure the efficient allocation of resources, preventing overprovisioning.
  • Enhanced Visibility: These tools have comprehensive dashboards that centralize real-time visibility into spending, usage patterns, and cost breakdowns. You can generate detailed reports to conduct in-depth analysis of historical data, facilitating better decision-making.
  • Improved Budgeting and Forecasting: Enables you to utilize historical data to predict future costs, allowing for more precise budgeting and financial planning. Sends timely alerts when spending nears or surpasses predefined thresholds, enabling proactive budget management.
  • Resource Efficiency: Identify opportunities to scale resources up or down based on demand, thereby optimizing workloads with the assistance of dedicated tools. Reduce manual effort and ensure continuous efficiency by implementing automated actions for resource optimization.

3 Aspects Of GCP Cost Optimization

Now that we understand the various benefits of GCP cost optimization tools, it is essential to be meticulous in your search for the right tools. There are three types of tools that you should consider investing in.

  • Tools for optimizing cloud storage
  • Tools for optimizing the cost of compute resources
  • FinOps tools provide visibility and reporting on cloud costs

Let's break down the benefits of the tools mentioned above.

Benefits Of Cloud Storage Optimization Tools

GCP storage can be divided into the following categories:

  • Cloud Storage: Cloud Storage offers object storage for a diverse range of data types, including images, videos, documents, and backups. Its prominent features include durable and highly available storage and global distribution for quick access with low latency. Additionally, it seamlessly integrates with Google Cloud CDN for efficient content delivery. This versatile storage solution supports multiple storage classes, catering to different performance and cost requirements.
  • Cloud Filestore: It provides fully managed file storage primarily designed for applications that demand a traditional file system interface. It extends support for the NFS (Network File System) protocol, enabling easy integration. With its high-performance capabilities, Cloud Filestore ensures low-latency access to shared file systems. It also offers various tiers, including standard and high-performance SSDs, to cater to diverse storage demands.
  • Persistent Disk: Persistent disk is one of the most commonly used block storage options in the GCP. It is a high-performance block storage with durability and availability to keep the business running. However, not tracking the block storage resource allocation and usage can result in skyrocketed cloud bills. 

But why should your optimization focus be on Persistent Disk?

This is because numerous features associated with Persistent Disk add to the overall cloud bill, such as those mentioned below.

  • Disk Size: The cost of a Persistent Disk is directly influenced by its size. Opting for larger disk sizes will lead to higher charges.
  • Provisioned IOPS: Provisioned IOPS (Input/Output Operations Per Second) enables you to determine the performance level of a disk. Higher provisioned IOPS generally come with additional costs.
  • Standard vs. SSD Persistent Disks: Google Cloud Platform (GCP) provides both Standard Persistent Disks (HDD) and SSD Persistent Disks. SSDs generally deliver better performance but are associated with a higher cost than Standard Disks.
  • Snapshot Storage: Creating and storing snapshots of Persistent Disks incurs supplementary expenses. Snapshots prove valuable for backup and recovery purposes.
  • Data Transfer Costs: Transferring data to and from Persistent Disks, particularly across different regions or zones, may result in additional expenses for data transfer.
  • Lifespan and Deletion: The duration for which the Persistent Disk is active and remains provisioned can impact costs. Consequently, eliminating or releasing resources when they are no longer required is vital in reducing continuous expenses.

Overlooking persistent disk storage cost optimization in GCP can significantly impact the cloud bill, causing increased cloud expenditure, suboptimal resource utilization, budget overruns, and resource waste.

We know what you are wondering. 

Can storage have such an impact that it escalates cloud bill?

Yes, storage is one of the significant contributors to the overall cloud cost. As per a Virtana report, 94% of 350 cloud decision-makers agreed that their cloud storage cost is increasing, and 54% agreed that their storage spend is growing faster than their overall cloud bill. To corroborate this study, we conducted an independent audit on over 100 enterprises and found that an average of 40% of the overall cloud cost was spent on storage. 

Despite this, many organizations overlook optimizing storage and only optimize compute resources. This is because of the following two reasons.

  • To effectively optimize storage needs, it is often essential to create a specialized tool. This is mainly due to the limitations of the current features provided by Cloud Service Providers (CSPs). Consequently, this requirement significantly amplifies the efforts of DevOps teams and the time required to build a customized solution. Conversely, depending solely on the tools provided by CSPs may result in subpar results. This is characterized by laborious, resource-heavy procedures that could be more efficient and feasible for everyday operations.
  • Compute resources yield an immediate and notable influence on performance. Organizations might prioritize refining computing operations to improve application responsiveness, user experience, and overall system efficiency.

Hence, while compute resource optimization is essential, storage resource optimization should also be prioritized equally. 

Optimizing GCP storage resources has the following advantages:

Cost Savings

  • Resource Right-Sizing: The optimization process ensures that block storage resources are aligned with the actual usage requirements, eliminating the need for overprovisioning and resulting in cost reduction.
  • Efficient Capacity Utilization: Identify and reclaim unused or underutilized storage capacity to minimize unnecessary expenses.

Improved Budget Management

  • Predictable Costs: Organizations can achieve more predictable and controlled storage costs through block storage optimization, facilitating better budget management.
  • Budget Alerts: Implement alerts to detect abnormal spending patterns on storage or when predefined budget thresholds are reached, allowing for proactive cost management.

Enhanced Performance and Efficiency

  • Performance Tuning: Optimize storage configurations to enhance overall system performance, ensuring that resources are tailored to meet application requirements.
  • Reduced Latency: Proper optimization techniques contribute to reduced storage latency, thereby improving the system's overall efficiency.

Benefits Of Tools That Optimize Compute Resources

Different compute resources are available with GCP, such as general-purpose VMs, Tau VMs, and Shielded VMs. Leaving them unsupervised can result in a high cloud bill. A tool optimizing the cost of computing resources will offer you the following benefits.

Cost Savings

  • Detect Overprovisioning: Optimization tools analyze the utilization of compute resources to identify instances of excessive provisioning, allowing for downsizing and resulting in cost savings.
  • Optimal Instance Selection: Provide recommendations on selecting the most cost-effective instance types based on real usage patterns.

Efficient Resource Utilization

  • Real-time Monitoring: Tools enable continuous compute resource monitoring, ensuring efficient utilization.
  • Automated Scaling: Implement automatic scaling based on demand, dynamically adjusting compute resources to match workload requirements.

Improved Performance

  • Performance Monitoring: Tools assist in monitoring compute resource performance, identifying bottlenecks, and optimizing configurations for enhanced efficiency.
  • Effective Resource Allocation: Ensure appropriate allocation of resources to maintain optimal performance levels.

Visibility and Transparency

  • Comprehensive Reporting: Deliver detailed reports and dashboards that provide insight into compute resources' utilization, expenses, and performance metrics.
  • Transparent Cost Analysis: Break down the costs linked with computing resources, enabling users to comprehend and efficiently manage their expenses comprehensively.

Budget Control

  • Budget Notifications: Establish alerts and notifications for computing resource expenditures, ensuring budget limits adherence.
  • Cost Management: Implement strategies to proactively manage computer-related costs and prevent unforeseen spikes, promoting financial discipline.

Benefits Of Finops Tools That Offer Visibility And Reporting On Cloud Cost

In a study on cloud waste by Anodot, 54% of the respondents said that their cloud waste stems from the lack of visibility into the cloud costs. You need FinOps tools to provide visibility and reporting on cloud costs. You need profound insights into the resource usage pattern to strategize and implement an effective cloud cost optimization plan to cut costs and increase ROI. You get the following benefits with a FinOps tool offering visibility and reporting on the cloud cost.

Enhanced Perception Of Expenditure

  • Thorough Analysis: FinOps tools facilitate in-depth breakdowns of cloud expenditure, clearly comprehending how the budget is distributed.
  • Precise Insight: Users can effortlessly view spending at a detailed level, such as by specific service, department, project, or individual resource.

Instantaneous Visibility

  • Live Surveillance: These tools offer real-time monitoring capabilities, enabling users to observe spending and usage patterns as they occur.
  • Prompt Notifications: Users receive timely alerts and notifications when abnormal spending patterns emerge, or predefined thresholds are approached, enabling them to intervene promptly and take necessary actions.

Historical Data Analysis

  • Trend Analysis: FinOps tools use historical data to conduct trend analysis, aiding organizations in comprehending the gradual evolution of costs over time.
  • Forecasting: By leveraging historical data, organizations can effectively forecast future costs and resource usage through predictive analytics, ensuring accuracy in their estimations.

Cost Attribution

  • Resource Allocation: FinOps tools attribute costs to specific resources, projects, teams, or departments, promoting transparency and accountability in the organization.
  • Showback and Chargeback: These tools enable organizations to implement showback or chargeback mechanisms, fostering responsibility and raising cost awareness.

Customizable Reporting

  • Tailored Dashboards: Users have the flexibility to create personalized dashboards and reports using FinOps tools, allowing them to visualize cost data according to their unique reporting requirements.
  • Exportable Reports: FinOps tools offer the functionality to generate and export reports, facilitating further analysis or sharing with stakeholders and decision-makers.

Budget Planning and Management

  • Budgeting Tools: FinOps tools typically incorporate budgeting capabilities, providing organizations with the ability to set, track, and manage budgets efficiently.
  • Budget Variance Analysis: Keep a close eye on budget variances and analyze any disparities between planned expenses and actual spending.

Cost Efficiency Insights

  • Identifying Inefficiencies: Enhanced visibility allows for identifying inefficient spending, such as underutilized resources or overprovisioning.
  • Recommendations for Optimization: Some tools offer practical recommendations for optimizing costs based on usage patterns and historical data.

Hence, reiterating those above, when looking for a GCP cost optimization tool, invest in 2-3 tools, each with their specialty, such as one for optimizing compute resources, one for providing granular visibility, and one for optimizing storage resource optimization. 

12 GCP Cost Optimization Tools

Now that we have established the significance of having multiple GCP cost optimization tools for comprehensive optimization, let us look at some of them. You can choose the one that best suits your requirements.

1. Lucidity To Optimize Your Storage

As mentioned before, storage is one of the significant contributors to the overall cloud bill. Storage significantly impacts overall cloud costs, yet its complexity often leads organizations to overlook its optimization. Many resort to overprovisioning to ensure ample storage for variable needs. While beneficial during peak demands, this approach often results in underutilized resources during periods of reduced requirements, leading to increased costs for idle resources.

Beyond cost implications, overprovisioning causes inefficient resource allocation. To address these challenges, prioritizing storage resource management is a key consideration in finding an effective GCP cost optimization tool. Lucidity stands out as such a tool, recognizing the inefficiencies and errors inherent in manual provisioning.

Lucidity offers two automated solutions, Lucidity Storage Audit and Lucidity Block Storage Auto-Scaler, designed to streamline resource management, minimize waste, and mitigate errors associated with manual processes.

Lucidity Storage Audit: Lucidity Storage Audit addresses the common challenges organizations face in understanding the impact of storage on cloud bills. Traditionally, discovering the root cause behind escalating storage expenses involved manual analysis or reliance on monitoring tools, both demanding significant investment in cost and effort from DevOps teams. Lucidity tackles this issue by providing an automated Storage Audit solution.

This comprehensive tool simplifies the storage auditing process, offering an automated, user-friendly, and easily accessible executable. Users gain valuable insights into their disk health and usage by replacing intricate manual assessments. With this information, optimizing expenses and minimizing the risk of downtime becomes effortless.

The Lucidity Audit tool uses GCP's internal service to collect crucial storage metadata, including metrics such as:

  • Storage utilization percentage
  • Disk size

This data gives users a deeper understanding of storage usage, facilitating informed decision-making to streamline costs.

Lucidity Storage Audit equips you with valuable information, including:

  • Comprehensive Analysis of Disk Expenditure: Gain precise insights into your disk spending, enabling a detailed breakdown of expenses. This analysis aids in optimizing billing structures, potentially reducing disk spending by up to 70%. Optimize resource allocation and enhance cost-effectiveness significantly.
  • Efficient Identification and Resolution of Disk Waste: Effortlessly identify and resolve causes of disk waste using our intuitive audit tool. Pinpoint and eliminate waste stemming from idle volumes or overprovisioning, ensuring a streamlined and cost-efficient storage environment.
  • Swift Detection of Performance Bottlenecks: Easily identify and address performance bottlenecks within your storage system. Lucidity's audit tool swiftly detects areas requiring performance optimization, enhancing overall efficiency and productivity.

Lucidity Block Storage Auto-Scaler: Lucidity block storage auto-scaler eliminates overprovisioning by automating storage expansion and reduction based on evolving requirements. This tool streamlines the process, enabling rapid adjustment of storage resources within minutes.

Deploying the auto-scaler is remarkably simple - it's effortlessly set up with just three clicks. Once activated, the auto-scaler dynamically adjusts your storage, optimizing utilization to maintain a healthy 70-80% range. This proactive approach ensures immediate cost savings.

Expanding storage capacity becomes seamless with this tool. Scaling up takes just one minute, ensuring your infrastructure is always prepared for unexpected traffic surges or workload spikes. This swift response guarantees consistent and adaptable storage capacity, enhancing your system's resilience and responsiveness to demand fluctuations.

Lucidity Block Storage Auto-Scaler offers the following benefits.

Achieve uninterrupted operations: Ensuring seamless operations, Lucidity's Auto-Scaler optimizes costs and simplifies the complexities of manual provisioning. This tool guarantees uninterrupted user experiences by dynamically adapting storage resources to evolving needs, eliminating disruptions, and maintaining continuous system availability.

Customized Policies: Enhance storage optimization with Lucidity's customizable policies, designed to maintain uninterrupted operations. These policies enable proactive prevention of storage shortages by allowing users to set preferred disk utilization and buffer configurations.

Lucidity streamlines policy setup, offering a user-friendly experience. Users can input policy details, including name, utilization preferences, maximum disk size, and buffer size with a few clicks on the' Create Policy' button. This straightforward approach tailors policies to specific usage and loading conditions. 

Lucidity diligently adheres to these policies, ensuring efficient instance management aligned with your criteria. This high level of customization enhances performance, improves cost-effectiveness, and delivers a robust, tailor-made storage solution.

Effortless implementation: Lucidity Auto-Scaler streamlines deployment, ensuring a swift and hassle-free experience. Its lightweight nature, consuming just 2% of CPU or RAM usage, seamlessly integrates without straining resources.

Automated resource scaling: The tool eliminates guesswork from resource management by automatically scaling storage based on changing demand. Lucidity adeptly adjusts storage resources to optimize efficiency, accommodating dynamic workload demands, whether facing sudden spikes or reduced activity.

Experience 70% Reduction in Storage Costs: By leveraging Lucidity's automated scaling, users unlock substantial savings of up to 70% on storage expenses. Disk utilization sees a notable improvement, increasing from 35% to an impressive 80%. This efficiency empowers users to achieve substantial reductions in storage costs.

GCP Native Tools

Now, let us look at some GCP native tools that can help with cost optimization. Cloud-native cost optimization tools aim to efficiently manage and optimize expenses in cloud environments while adhering to the principles of cloud-native architecture.

2. GCP Cloud Console

The Google Cloud Console is Google's proprietary interface for managing and controlling your Google Cloud Platform (GCP) resources. The platform efficiently manages and offers valuable insights into all the integral aspects that empower cloud applications. This encompasses various components such as web applications, data analysis, virtual machines, datastores, databases, networking, and developer services.

Features

  • Cloud governance: With its user-friendly platform, you can easily oversee and govern your resources. 
  • Customizable dashboard: It features a customizable dashboard, Identity and Access Management (IAM) functionalities, and detailed audit logs, making it a comprehensive tool for efficient resource management. 
  • Visibility and monitoring capabilities: The Cloud Console has native visibility features that allow users to manage GCP services seamlessly. It provides access to logs, robust monitoring capabilities, and customizable alerts, ensuring precise control over your infrastructure. 
  • Cost control: Besides resource management, the Cloud Console is crucial in cost control. It offers insights and tools to optimize and manage expenditure within the Google Cloud Platform ecosystem.

Customer Rating

  • G2: 4.3

3. Cloud Billing Report

Cloud Billing Reports provide insight into usage expenses, simplifying the detection and examination of resource consumption patterns. They aim to assist businesses in their development, innovation, and scalability by providing open and flexible technology that avoids vendor lock-in.

Features

  • Graphs: Utilizing intuitive graphs, you can identify the main factors driving your expenses, whether they are particular products, locations, or services.
  • Cost Control: These reports enable an approach to cost control that aligns with your organizational structure, represented by projects, folders, or labels. This versatile perspective thoroughly comprehends your spending habits, fostering strategic and effective cost management within your cloud environment.

Customer Rating

  • G2: 4.3

4. Cost Table

The Cost Table report offers more than just superficial information. It provides an in-depth breakdown of expenses for each invoiced month in a table format. 

Feature

  • Cost Breakdown: This detailed breakdown shows the total amount in your invoice and facilitates reconciling invoices effectively. With the ability to dynamically filter, sort, and group data, this report enables you to investigate every line item, gaining a comprehensive understanding of the costs associated with each entry on your invoice. It is a potent resource for obtaining insights and ensuring transparent financial analysis in your billing system.

Customer Rating

  • G2: 4.3

5. Looker

Google Looker offers hybrid GCP cost optimization and management capabilities beyond conventional limitations. It effortlessly amalgamates billing data from numerous cloud services and diverse teams, establishing a cohesive platform. 

Features

  • Insights: Cloud Cost Management enables businesses to gain unmatched insights into fund allocation across different projects, services, and individual contributors. 
  • Google Cloud Billing Block: By utilizing the efficiency of the Google Cloud Billing block, organizations can navigate the intricacies of cost distribution with absolute clarity and precision, guaranteeing a strategic and knowledgeable approach to resource allocation.

Customer Rating

  • G2: 4.4

If You Are Looking To Optimize Compute Resources

Cloud compute resource optimization tools are designed to improve the efficiency and cost-effectiveness of computing resources in cloud environments. These tools utilize various techniques and strategies to ensure that computing resources are utilized to their fullest potential.

6. Densify

Densify offers monitoring, analyzing, and optimizing costs for various workloads across multiple cloud and virtualization platforms. The platform caters to Kubernetes environments, including Google Kubernetes Engine (GKE), AWS, Azure Cloud, OpenShift, and VMware infrastructure. 

Features

  • Rightsizing recommendations: By implementing proven cloud cost optimization strategies, Densify helps rightsize instances, identify idle resources for termination, and recommend the most efficient machine types within the Google Cloud Engine ecosystem. 
  • Optimizing resource allocation: They take a comprehensive approach to ensure organizations can optimize their infrastructure in various environments, aligning resource allocation with actual workload demands.

Customer Rating

  • G2: 3/5

7. CloudCheckr

CloudCheckr is an integrated platform that combines cost analysis and security automation. Its purpose is to assist users in effectively managing cloud expenses, safeguarding their environment, and ensuring optimal cloud infrastructure performance. A multi-cloud cost optimization platform, CloudCheckr offers cloud cost analysis and optimization for GCP, Azure, and AWS. 

Features

  • Insights: CloudCheckr offers detailed analyses of spending on Google Cloud Platform (GCP), revealing valuable opportunities for cost savings and providing recommendations to optimize resource allocation.
  • Resource management: By utilizing CloudCheckr, businesses can effectively navigate the complexities of their cloud usage, promoting efficiency and adopting a cost-effective approach to managing resources within the Google Cloud environment.

Customer Rating

  • G2: 4.1/5

8. CloudBolt

CloudBolt provides a comprehensive cloud management service powered by artificial intelligence (AI). It seamlessly supports and enhances cloud management experiences, whether the infrastructure is based on Terraform or Ansible or is spread across GCP, Azure and AWS.

Features

  • Integrated cloud optimization: The integrated cloud optimization tool automates critical tasks such as cost optimization, security, and governance in a hybrid cloud environment. 
  • Self-serving ability: By enabling self-service capabilities for DevOps, FinOps, ITOps, and SecOps teams, CloudBolt empowers organizations to manage multiple aspects of their cloud operations effectively.

Customer Rating

  • G2: 4.7/5

If You Want To Enhance Visibility And Reporting

These tools offer comprehensive analysis, enabling organizations to make well-informed choices, pinpoint areas of inefficiency, and execute specific enhancements. Consequently, this results in substantial cost reductions and improved resource utilization.

9. CloudZero

CloudZero assists in effortlessly taking in, evaluating, and presenting data from various origins, like Snowflake and Google's BigQuery. CloudZero provides a platform that delivers consistent, visually appealing, and actionable cost insights for a wide range of cloud services.

Features

  • Insights: CloudZero guarantees a thorough comprehension of your cloud expenses, equipping you with the necessary insights to make informed choices and efficiently streamline costs.
  • Cost allocation: It allows organizations to assign costs to specific teams, projects, or departments, thereby facilitating the formation of a comprehensive overview of how various aspects of the business contribute to overall cloud expenditure.

Customer Rating

  • G2: 4.5 

10. Ternary

Built on Google Cloud for GCP customers, Ternary offers visibility and cost optimization recommendations for GCP computing, storage, BigQuery, Kubernetes, and more. 

Features

  • Workflow: The workflow makes it easy to assign tasks, track progress, and provide reports on any anomalies. Features like commitment and sustained use discounts make it easy to understand the cos-impacting factors in GCP.
  • Anomaly detection: Employs machine learning models to identify irregular behavior and atypical observations in datasets.
  • Recommendations powered by AI: Employing sophisticated machine learning algorithms, it examines patterns and behaviors in datasets to deliver tailored suggestions based on user preferences, behavior, and past interactions.

Customer Rating

  • G2: 4.9

11. Harness

Harness is a hybrid cloud cost optimization tool with capabilities such as tracking cost across the cloud, cost monitoring, anomaly alerts, custom recommendations, and more for comprehensive cloud cost optimization. 

Features

  • Cost transparency: It offers smart cloud cost management, ensuring comprehensive visibility into costs for engineering and finance departments, powered by strong business intelligence capabilities.
  • ML-based recommendations: It utilizes machine learning to make suggestions that can help reduce overall cloud costs. 

Customer Rating

  • G2: 4.5/5

12. Kubecost

Kubecost is a cloud cost management tool designed explicitly for Kubernetes that aims at reducing cloud costs.

Features

  • Visibility: It offers visibility into resource usage and allocates resources across the team. It helps organizations better understand Kebernet's spending and make cost-effective decisions by providing granular cost data and actionable insights. 
  • Cost breakdown: It offers a detailed cost report broken down by Kubernet resources such as deployments, namespace, and labels.

Customer Rating

  • G2: 5/5

Optimize Your GCP And Save Money!

The demand for GCP cloud cost optimization tools is growing with the increasing adoption of GCP due to its dynamic nature that presents opportunities and challenges for managing cloud expenses. The varying workload and fluctuating demand lead to inefficient resource allocation and usage, thus spiking the cloud bill. With GCP cost optimization tools that offer insights into cloud spending and analyze, monitor, and optimize cost, organizations can save significantly on their overall cloud bill. 

If your cloud cost is suspiciously increasing and you can't seem to pinpoint the reason, book a demo with a Lucidity representative to understand how much of your overall bill comprises storage cost and optimize it with automation.

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