# Best Auto Scaling Software

  *By [Rachana Hasyagar](https://research.g2.com/insights/author/rachana-hasyagar)*

   Auto Scaling software dynamically allocates or deallocates computing resources based on an application’s requirement. This type of software can automatically scale up resources during high traffic and scale down when there is less traffic. IT administrators use auto scaling software to ensure the availability of cloud systems by adding more computing resources when needed and optimizing costs by automatically decommissioning instances when capacity requirement reduces.

Auto scaling has some features of [cloud infrastructure monitoring software](https://www.g2.com/categories/cloud-infrastructure-monitoring) as it continuously monitors systems to check for resource usage. However, auto scaling software, in addition to monitoring, can also increase or decrease capacity allocation. It also has features that overlap with [load balancing software](https://www.g2.com/categories/load-balancing), a tool that distributes traffic to healthy server instances to ensure continuous availability. Load balancing and auto scaling software working in tandem provide efficient management of resources. Auto scaling software provides new instances for which load balancing software can provide connections.

To qualify for inclusion in the Auto Scaling category, a product must:

- Continuously monitor the cloud environment to identify capacity needs and free resources
- Allocate and deallocate new instances if an application requires more or fewer resources
- Anticipate demand fluctuations based on regular resource consumption patterns
- Provide visibility into resource consumption across the system through a single dashboard or portal





## Best Auto Scaling Software At A Glance

- **Leader:** [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews)
- **Highest Performer:** [ScaleOps](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews)
- **Easiest to Use:** [Cast AI](https://www.g2.com/products/cast-ai/reviews)
- **Top Trending:** [Cast AI](https://www.g2.com/products/cast-ai/reviews)
- **Best Free Software:** [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews)


---

**Sponsored**

### Cast AI

Cast AI is an automation platform for operating cloud-native and AI infrastructure at scale. It keeps applications fast and stable by continuously optimizing production systems and eliminating manual operations as environments scale.



[Visit company website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1004993&secure%5Bdisplayable_resource_id%5D=1004993&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1004993&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=136001&secure%5Bresource_id%5D=1004993&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fauto-scaling%3Fopen_modal_url%3D%252Fproducts%252Fscaleops-cloud-native-optimization-scaleops%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fauto-scaling%2526source%253Dcategory&secure%5Btoken%5D=13c547dae93e6fe13d630631e645a3472d98d893be00e491aed4e79737e2984d&secure%5Burl%5D=https%3A%2F%2Fcast.ai%2Flp%2Fstart-automation%2F%3Futm_source%3Dg2%26utm_medium%3Dpaidsocial%26utm_campaign%3Dg2_auto_scaling%26utm_term%3Dg2_auto_scaling%26utm_content%3Dg2_auto_scaling&secure%5Burl_type%5D=custom_url)

---

## Top-Rated Products (Ranked by G2 Score)
  ### 1. [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews)
  Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 877

**User Satisfaction Scores:**

- **Ease of Admin:** 8.6/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,840,340 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Data Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 35% Small-Business, 34% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (76 reviews)
- Scalability (69 reviews)
- Virtual Machines (64 reviews)
- Features (58 reviews)
- Google Cloud Platform (54 reviews)

**Cons:**

- Pricing Issues (49 reviews)
- Expensive (45 reviews)
- Cost Management (33 reviews)
- Complexity (30 reviews)
- Learning Difficulty (27 reviews)

  ### 2. [Cast AI](https://www.g2.com/products/cast-ai/reviews)
  Cast AI is an automation platform for operating cloud-native and AI infrastructure at scale. It keeps applications fast and stable by continuously optimizing production systems and eliminating manual operations as environments scale.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 190

**User Satisfaction Scores:**

- **Ease of Admin:** 9.2/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Cast AI](https://www.g2.com/sellers/cast-ai)
- **Company Website:** https://cast.ai
- **Year Founded:** 2019
- **HQ Location:** Miami, FL
- **Twitter:** @cast_ai (1,795 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cast-ai (331 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** DevOps Engineer, Senior DevOps Engineer
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 40% Mid-Market, 24% Enterprise


#### Pros & Cons

**Pros:**

- Cost Saving (43 reviews)
- Ease of Use (43 reviews)
- Cost Management (42 reviews)
- Recommendations (39 reviews)
- Cost Reduction (38 reviews)

**Cons:**

- Expensive (12 reviews)
- Scaling Issues (12 reviews)
- Pricing Issues (10 reviews)
- UX Improvement (10 reviews)
- Learning Difficulty (9 reviews)

  ### 3. [AWS Auto Scaling](https://www.g2.com/products/aws-auto-scaling/reviews)
  Amazon EC2 Auto Scaling helps you maintain application availability and allows you to dynamically scale your Amazon EC2 capacity up or down automatically according to conditions you define. You can use Amazon EC2 Auto Scaling for fleet management of EC2 instances to help maintain the health and availability of your fleet and ensure that you are running your desired number of Amazon EC2 instances. You can also use Amazon EC2 Auto Scaling for dynamic scaling of EC2 instances in order to automatically increase the number of Amazon EC2 instances during demand spikes to maintain performance and decrease capacity during lulls to reduce costs. Amazon EC2 Auto Scaling is well suited both to applications that have stable demand patterns or that experience hourly, daily, or weekly variability in usage.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 226

**User Satisfaction Scores:**

- **Ease of Admin:** 8.9/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,220,862 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, DevOps Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 40% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Auto Scaling (4 reviews)
- Scaling (4 reviews)
- Cost-Effective (3 reviews)
- Features (2 reviews)
- Performance (2 reviews)

**Cons:**

- Scaling Issues (4 reviews)
- Complex Configuration (2 reviews)
- Difficulty in Usage (2 reviews)
- Slow Performance (2 reviews)
- Complexity (1 reviews)

  ### 4. [ScaleOps](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews)
  ScaleOps is a cloud resource management platform designed to automate resource optimization in real-time based on application context-awareness. This innovative solution continuously monitors live application behavior and dynamically adjusts Kubernetes workload resources according to actual usage and contextual demands. By leveraging ScaleOps, organizations can achieve significant cost reductions, of up to 80%, while ensuring that availability, performance, and compliance with production constraints are maintained. The primary target audience for ScaleOps includes DevOps teams, cloud architects, and IT administrators who manage Kubernetes environments. These professionals often face challenges related to resource allocation, cost management, and application performance. ScaleOps addresses these issues by providing a solution that operates autonomously, eliminating the need for manual intervention or code modifications. This allows teams to focus on higher-level strategic initiatives rather than getting bogged down in the minutiae of resource management. Key features of ScaleOps include automated pod-level resource management, which encompasses CPU, memory, replicas, and scheduling. This capability allows the platform to adapt in real-time to the changing behavior of workloads, ensuring optimal resource utilization. Additionally, ScaleOps employs application context-aware optimization, taking into account factors such as burstiness, Pod Disruption Budgets (PDBs), statefulness, and the presence of noisy neighbors. This level of sophistication enables organizations to maintain performance and availability even in complex environments. ScaleOps also offers flexible deployment options, making it suitable for various infrastructures, including air-gapped, on-premises, hybrid, and cloud-native environments. Its compatibility with existing Kubernetes scaling tools, such as Horizontal Pod Autoscaler (HPA), KEDA, and Karpenter, allows for a gradual rollout without disrupting current systems. Furthermore, the platform provides granular policy control, enabling teams to define performance, cost, or availability priorities at the namespace, workload, or environment level. This feature empowers organizations to tailor their resource management strategies to meet specific operational goals and constraints. By integrating seamlessly into existing workflows and providing continuous, context-aware resource optimization, ScaleOps stands out as a comprehensive solution for organizations looking to enhance their Kubernetes resource management. Its unique approach not only drives cost efficiency but also ensures that applications run smoothly and reliably, regardless of the underlying infrastructure.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 93

**User Satisfaction Scores:**

- **Ease of Admin:** 8.9/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [ScaleOps - Cloud-Native Optimization](https://www.g2.com/sellers/scaleops-cloud-native-optimization)
- **Company Website:** https://scaleops.com
- **Year Founded:** 2022
- **HQ Location:** New York, US
- **LinkedIn® Page:** https://www.linkedin.com/company/scaleops-sh (118 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** DevOps Engineer
  - **Top Industries:** Computer Software, Financial Services
  - **Company Size:** 55% Mid-Market, 34% Enterprise


#### Pros & Cons

**Pros:**

- Customer Support (46 reviews)
- Ease of Use (41 reviews)
- Cost Saving (29 reviews)
- Cost Reduction (27 reviews)
- Easy Setup (24 reviews)

**Cons:**

- Scaling Issues (10 reviews)
- Slow Performance (9 reviews)
- Difficulty in Usage (8 reviews)
- Missing Features (8 reviews)
- Poor Documentation (8 reviews)

  ### 5. [Amazon EC2 Auto Scaling](https://www.g2.com/products/amazon-ec2-auto-scaling/reviews)
  Amazon EC2 Auto Scaling is a service that helps maintain application availability by automatically adjusting Amazon EC2 instance capacity to meet changing demand. It enables users to define scaling policies that dynamically add or remove instances based on real-time metrics or predictable schedules, ensuring optimal performance and cost efficiency. Key Features and Functionality: - Automatic Scaling: Seamlessly launches new EC2 instances when demand increases and terminates unneeded instances when demand decreases, optimizing resource utilization. - Dynamic and Predictive Scaling: Adjusts capacity based on Amazon CloudWatch metrics or predefined schedules, allowing for proactive scaling in anticipation of traffic changes. - Health Monitoring and Replacement: Continuously monitors instance health and automatically replaces impaired instances to maintain desired capacity and application availability. - Multi-AZ Deployment: Distributes instances across multiple Availability Zones to enhance fault tolerance and resilience against localized failures. - Support for Multiple Instance Types and Purchase Options: Allows provisioning of various instance types and purchase options, including On-Demand and Spot Instances, to optimize performance and cost. - Integration with Load Balancing: Works with Elastic Load Balancing to distribute incoming traffic evenly across healthy instances, ensuring consistent application performance. Primary Value and Problem Solved: Amazon EC2 Auto Scaling addresses the challenge of fluctuating application demand by automatically adjusting compute capacity, ensuring applications remain responsive and cost-effective. By automating the scaling process, it reduces the need for manual intervention, minimizes the risk of over-provisioning or under-provisioning resources, and enhances overall application reliability and performance.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 28

**User Satisfaction Scores:**

- **Ease of Admin:** 8.6/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,220,862 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 47% Small-Business, 43% Enterprise


#### Pros & Cons


**Cons:**

- Complex Configuration (1 reviews)
- Complexity (1 reviews)
- Learning Difficulty (1 reviews)

  ### 6. [Pepperdata Capacity Optimizer](https://www.g2.com/products/pepperdata-capacity-optimizer/reviews)
  Pepperdata Capacity Optimizer is the only real-time, automated cost optimization solution for Spark workloads that can immediately save you up to 47%. By instructing the scheduler to consider the actual resource utilization instead of allocated resources, Capacity Optimizer reclaims waste, maximizes resources utilization, and optimizes autoscaling in the cloud. It operates autonomously, continuously, and in real time to reclaim application waste.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 39

**User Satisfaction Scores:**

- **Ease of Admin:** 9.0/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Pepperdata](https://www.g2.com/sellers/pepperdata)
- **Year Founded:** 2012
- **HQ Location:** Sunnyvale, US
- **Twitter:** @pepperdata (700 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2703086/ (32 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Banking
  - **Company Size:** 72% Enterprise, 15% Mid-Market


#### Pros & Cons

**Pros:**

- Performance (4 reviews)
- Cost Saving (2 reviews)
- Resource Management (2 reviews)
- Savings (2 reviews)
- Analytics (1 reviews)

**Cons:**

- Lack of Automation (1 reviews)
- Learning Curve (1 reviews)
- Learning Difficulty (1 reviews)
- Limited Availability (1 reviews)
- Limited Functionality (1 reviews)

  ### 7. [Xosphere Instance Orchestrator](https://www.g2.com/products/xosphere-instance-orchestrator/reviews)
  Xosphere's super power is reducing AWS EC2 expense by up to 80%. Xosphere is the world's only intelligent cloud orchestration company empowering enterprises to seamlessly move applications to the right place at the right time to reduce cloud expense and increase reliability. Xosphere's intelligent cloud software transforms unreliable Spot instances into robust resources that have the same reliability as On-Demand but at a fraction of the cost, yielding unparalleled savings. For enterprises that want to reduce cloud costs, Xosphere's optimization engine maximizes savings with the fastest speed of implementation in the industry. Xosphere Instance Orchestrator is a cloud-native, self-hosted subscription software application. It installs into your Amazon Web Services (AWS) account using either a CloudFormation stack or a Terraform module and runs using Lambda functions. Instance Orchestrator uses an opt-in design; it only executes on Auto-Scaling groups or individual instances that have explicitly been enabled via an AWS tag. Tags can be applied using any method or tool that is used within the organization to manage tags (for example, AWS Console, AWS CLI, AWS APIs, infrastructure-as-code platforms such as CloudFormation or Terraform, cloud management platforms, etc.). Once this enabling tag has been applied, Instance Orchestrator will automatically perform its management duties on an ongoing basis.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 17

**User Satisfaction Scores:**

- **Ease of Admin:** 10.0/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Xosphere](https://www.g2.com/sellers/xosphere)
- **Year Founded:** 2017
- **HQ Location:** Woodland Hills, US
- **Twitter:** @XosphereInc (74 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/xosphereinc/ (6 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 41% Enterprise, 24% Mid-Market


  ### 8. [Real-Time Technology Solutions](https://www.g2.com/products/real-time-technology-solutions/reviews)
  Avi Networks enables public-cloud-like simplicity and flexibility for application services such as load balancing, application analytics, and security in any data center or cloud.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 9

**User Satisfaction Scores:**

- **Ease of Admin:** 8.3/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Broadcom](https://www.g2.com/sellers/broadcom-ab3091cd-4724-46a8-ac89-219d6bc8e166)
- **Year Founded:** 1991
- **HQ Location:** San Jose, CA
- **Twitter:** @broadcom (62,960 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/broadcom/ (55,707 employees on LinkedIn®)
- **Ownership:** NASDAQ: CA

**Reviewer Demographics:**
  - **Company Size:** 56% Enterprise, 33% Small-Business


  ### 9. [Alibaba Auto Scaling](https://www.g2.com/products/alibaba-auto-scaling/reviews)
  Auto Scaling is a service to automatically adjust computing resources based on your volume of user requests. When demand for computing resources increase, Auto Scaling automatically adds ECS instances to serve additional user requests, or alternatively removes instances in the case of decreased user requests.


  **Average Rating:** 3.8/5.0
  **Total Reviews:** 2


**Seller Details:**

- **Seller:** [Alibaba](https://www.g2.com/sellers/alibaba)
- **HQ Location:** Hangzhou
- **Twitter:** @alibaba_cloud (1,161,155 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1218665/ (4,817 employees on LinkedIn®)
- **Ownership:** BABA
- **Total Revenue (USD mm):** $509,711

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


#### Pros & Cons

**Pros:**

- Auto Scaling (1 reviews)
- Scaling (1 reviews)

**Cons:**

- Poor Documentation (1 reviews)

  ### 10. [Amazon Aurora Serverless V2](https://www.g2.com/products/amazon-aurora-serverless-v2/reviews)
  Product Description: Amazon Aurora Serverless v2 is an on-demand, auto-scaling configuration for Amazon Aurora that automatically adjusts database capacity based on application needs. It scales instantly to handle hundreds of thousands of transactions in a fraction of a second, providing the right amount of resources without manual intervention. This service supports both the MySQL-Compatible and PostgreSQL-Compatible editions of Aurora, offering high availability, performance, and resiliency. By paying only for the capacity consumed, users can achieve up to 90% cost savings compared to provisioning for peak loads. Key Features and Functionality: - Instant Auto-Scaling: Adjusts database capacity in fine-grained increments to match application demands without disrupting connections or transactions. - High Availability: Supports Multi-AZ deployments, read replicas, and global databases to ensure continuous operation and data durability. - Cost Efficiency: Charges are based on actual capacity usage, leading to significant cost savings by avoiding over-provisioning. - Feature Parity with Provisioned Aurora: Includes capabilities like cloning, Performance Insights, and IAM authentication, aligning with the full suite of Aurora features. - Seamless Integration: Allows mixing of serverless and provisioned instances within the same cluster, providing flexibility in database management. Primary Value and Problem Solved: Amazon Aurora Serverless v2 simplifies database management by eliminating the need for manual capacity planning and scaling. It addresses challenges associated with variable and unpredictable workloads by providing automatic, near-instantaneous scaling, ensuring optimal performance without over-provisioning. This approach not only enhances application responsiveness but also significantly reduces operational costs, making it ideal for a wide range of applications, from development and testing environments to business-critical systems.


  **Average Rating:** 3.5/5.0
  **Total Reviews:** 1

**User Satisfaction Scores:**

- **Ease of Admin:** 8.3/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,220,862 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Company Size:** 100% Small-Business


#### Pros & Cons

**Pros:**

- Customer Support (1 reviews)
- Ease of Use (1 reviews)
- Implementation Ease (1 reviews)


  ### 11. [AutoSpotting](https://www.g2.com/products/autospotting/reviews)
  AutoSpotting allows you to safely and reliably cut your AWS EC2 costs by up to 90% (usually 50-80%) without long term commitments or upfront payments, by replacing EC2 instances in autoscaling groups with identically configured Spot instances. It installs in minutes using CloudFormation and Terraform, and can be configured using tags and even taking over all the groups from your account, without requiring launch template or launch configuration changes, and without causing IaC drift. For maximum compatibility, it supports most applications backed by on-demand autoscaling groups, including for AWS services such as Beanstalk, EKS and ECS that use ASGs under the hood. The main requirement is for the instances to be replaceable without noticeable impact to your users, which is usually the case for autoscaling groups out of the box. For maximum security, privacy and reduced runtime costs it is a fully self-hosted, serverless, pay as you go software that runs entirely in your account with minimalist IAM permissions. Once enabled on your on-demand ASGs by tagging them(you can use any tool for tagging, but we also have a GUI to make it easier and reduce the chance of human errors), it gradually replaces their instances with diversified Spot instances. Under the hood we use attach API calls, then terminate the initial instances, leaving you with up to 90% cheaper but identically configured Spot instances. To minimize capacity churn as much as possible, any new instances are also replaced with the same approach within seconds of being launched, and we use a capacity optimized allocation strategy that gives us instances with lower probability of interruption. To ensure you always get the capacity you need for your application, Spot instances are launched with widest possible diversification, and we also have failover to on-demand instances with the same level of diversification we use for Spot instances. This makes the groups managed by AutoSpotting more resilient to Insufficient Capacity Events that may occasionally impact OnDemand ASGs usually configured with a single instance type. For increased performance and reduced carbon emissions, it always provisions the newest available instance types.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1


**Seller Details:**

- **Seller:** [LeanerCloud](https://www.g2.com/sellers/leanercloud)
- **Year Founded:** 2022
- **HQ Location:** Berlin, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/leanercloud/ (2 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


  ### 12. [Thoras AI](https://www.g2.com/products/thoras-ai/reviews)
  Meet your infrastructure Al toolkit: Thoras leverages bleeding-edge Al to predict and scale your GPU and CPU resources, prevent downtime, and optimize Kubernetes workloads—saving you money and keeping your systems running smoothly. Modern autoscalers react too late, forcing you to over provision compute or risk downtime. Thoras forecasts workload demand with precision using bleeding-edge ML modeling, so your infrastructure is always one step ahead.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 3

**User Satisfaction Scores:**

- **Ease of Admin:** 10.0/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Thoras AI](https://www.g2.com/sellers/thoras-ai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/thoras/ (17 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 100% Mid-Market


#### Pros & Cons

**Pros:**

- Automation (1 reviews)
- Auto Scaling (1 reviews)
- Customer Support (1 reviews)
- Easy Integrations (1 reviews)
- Features (1 reviews)

**Cons:**

- Complex Configuration (2 reviews)
- Complexity (1 reviews)
- Configuration Complexity (1 reviews)
- Time Consumption (1 reviews)

  ### 13. [UbiOps](https://www.g2.com/products/ubiops/reviews)
  If you are a data scientist or engineer, at some point you want to bring your algorithm to production. And that means installing libraries, managing dependencies, deploying your scrips and models, versioning, serving, and running out of compute. Let’s be honest: deployment is hard. The tools we use are not as helpful as they could be, because they are not designed for our specific needs. And we lose ourselves in time-consuming model deployments and infrastructure management. That is not what we are meant for. We want to make sure that our time is best spent where we are needed, developing algorithms and code to create impact. That’s why we’re building UbiOps.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 5


**Seller Details:**

- **Seller:** [UbiOps](https://www.g2.com/sellers/ubiops)
- **Year Founded:** 2020
- **HQ Location:** The Hague, NL
- **Twitter:** @UbiOps_ (109 Twitter followers)
- **LinkedIn® Page:** https://linkedin.com/company/ubiops (23 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 60% Mid-Market, 40% Small-Business


  ### 14. [F5 BIG-IP WAF AWS Deployment & Integration](https://www.g2.com/products/f5-big-ip-waf-aws-deployment-integration/reviews)
  Vandis engineers will work with your network and security teams to integrate F5 Network BIG-IP WAFs into your private network design on AWS. We will assist with the design and configuration of the VPC, subnets, DMZ, Security Groups, Route Tables, and EC2 Auto Scaling Groups as needed, and then deliver those in a detailed design and implementation document.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 2

**User Satisfaction Scores:**

- **Ease of Admin:** 8.3/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [F5](https://www.g2.com/sellers/f5-f6451ada-8c47-43f5-b017-58663a045bc5)
- **HQ Location:** Seattle, Washington
- **Twitter:** @F5Networks (1,386 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/4841/ (6,133 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Small-Business


#### Pros & Cons

**Pros:**

- Configurability (1 reviews)
- Configuration Ease (1 reviews)
- Customization (1 reviews)
- Load Balancing (1 reviews)
- Quick Setup (1 reviews)

**Cons:**

- UX Improvement (1 reviews)

  ### 15. [InfraGraf Network Traffic Forecasting](https://www.g2.com/products/infragraf-network-traffic-forecasting/reviews)
  InfraGraf Network Traffic Forecasting helps businesses get a future forecast of the network traffic based on historic data. Benefits offered by this solution includes accurate forecast of network traffic which enables better planning for network infrastructure, application scalability and auto scaling. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the right model based on the input data.




**Seller Details:**

- **Seller:** [Mphasis](https://www.g2.com/sellers/mphasis-5a2b4772-cd1c-4cbd-bf88-54fc79a85d25)
- **Year Founded:** 2007
- **HQ Location:** Reston, VA
- **Twitter:** @Stelligent (1,108 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/220927 (16 employees on LinkedIn®)



  ### 16. [Odoo SaaS Toolkit](https://www.g2.com/products/odoo-saas-toolkit/reviews)
  Odoo SaaS Toolkit by Ksolves is a powerful solution designed to transform Odoo into a fully scalable, secure, and subscription-driven SaaS platform. Built specifically for Odoo partners, SaaS innovators, ERP implementation companies, and enterprises, the toolkit enables businesses to launch, manage, and scale multi-tenant Odoo environments with minimal infrastructure complexity. With its multi-tenant architecture, organizations can deploy hundreds or even thousands of Odoo instances while maintaining high performance and secure tenant isolation. The platform supports automated deployments, rolling updates, subscription management, and centralized tenant monitoring, making it easier to operate large-scale SaaS environments. The toolkit eliminates traditional challenges such as manual instance creation, complex upgrades, infrastructure overhead, and scalability limitations. It provides cloud-ready deployment compatible with AWS, Azure, GCP, and private cloud environments, along with automated backups, real-time monitoring, and enterprise-grade security. Businesses can also create flexible SaaS offerings using custom domains, subscription billing, licensing management, and automated invoicing, enabling predictable recurring revenue models. Whether you are building a vertical SaaS product, offering SaaS ERP to multiple clients, or managing enterprise-grade multi-client environments, Odoo SaaS Toolkit simplifies SaaS operations and accelerates go-to-market while ensuring scalability, reliability, and operational efficiency.




**Seller Details:**

- **Seller:** [Ksolves](https://www.g2.com/sellers/ksolves-1e5bdb56-ac42-46ac-a7a8-4c1eaea57f86)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)



  ### 17. [ScaleFlow](https://www.g2.com/products/scaleflow/reviews)
  Eliminates Over-Provisioning: No more guessing storage requirements Real-Time Auto-Scaling: Expand or shrink instantly as needed Zero Downtime: Continuous availability guaranteed 60% Cost Reduction: Pay only for what you use Your infrastructure should scale itself. Storage shouldn't be a guessing game.




**Seller Details:**

- **Seller:** [QuarkWiz](https://www.g2.com/sellers/quarkwiz)
- **Year Founded:** 2018
- **HQ Location:** Bengaluru East, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/quarkwiz/ (21 employees on LinkedIn®)



  ### 18. [Sedai](https://www.g2.com/products/sedai/reviews)
  Sedai goes beyond recommendations. Our platform takes action to autonomously manage and optimize your cloud resources, without manual intervention. It analyzes your production environment to find cost and reliability optimization opportunities in real time — learning from behavior patterns and adapting to new releases. Under the hood, Sedai uses deep reinforcement learning to predict the impact of potential optimizations, enabling the platform to take these actions safely. Sedai's unique approach makes it the only way way to manage and optimize the cloud at scale. Unlike conventional automation, Sedai doesn't follow fixed rules and scripts. Instead, it acts like an experienced SRE: incrementally adjusting the configuration of your resources until the exact point where performance or availability would be impacted. The result? Sedai has executed more than 25 million autonomous actions in production — with 0 incidents. Ready to save 30–50% on your cloud costs? Visit sedai.io to speak with our cloud optimization experts.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 4

**User Satisfaction Scores:**

- **Ease of Admin:** 8.3/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Sedai](https://www.g2.com/sellers/sedai)
- **Company Website:** https://www.sedai.io
- **Year Founded:** 2018
- **HQ Location:** Pleasanton, California, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/sedai (121 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Small-Business, 50% Mid-Market


  ### 19. [Server Scheduler](https://www.g2.com/products/server-scheduler/reviews)
  Servers don't need to be online at 3 a.m. Manually schedule instances with our visual time grid. Shut down servers during off hours, downsize idle machines, and manage resources across AWS, GCP, and Azure. Stop paying for idle cloud resources. With ServerScheduler, you can automatically power down your servers and databases when your team isn't working, whether it's overnight, on weekends, or during holidays. This simple automation can reduce your cloud bill by up to 70% —all without requiring manual effort.




**Seller Details:**

- **Seller:** [Server Scheduler](https://www.g2.com/sellers/server-scheduler)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)





## Parent Category

[IT Management Software](https://www.g2.com/categories/it-management)