Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

An optimal approach to automating AWS operations arises from extensive project experience, allowing for streamlined processes through straightforward screen interactions. This expertise, honed by Serverworks over approximately 8,100 AWS projects, emphasizes the importance of innovative operational strategies to leverage AWS's cost benefits safely. While the pay-as-you-go model is advantageous, it also poses risks of escalating fees without careful resource management; hence, implementing effective cost control measures, such as pausing the development environment during inactivity, is essential. Additionally, there is a tangible risk of inadvertently deleting vital production data, necessitating a robust operational framework that ensures data can be restored promptly if mistakes occur. Furthermore, sizing resources based on peak usage instead of average demand can lead to unnecessary excess, significantly diminishing system investment efficiency. Therefore, adopting a balanced approach to resource allocation is crucial for optimizing both performance and cost-effectiveness in AWS environments.

Description

Establish governance policies that effectively manage cloud-native environments while preserving agility and speed. Assign budgets to distinct teams or projects, monitor expenses, regulate resource utilization, and provide immediate notifications for budget exceedances. Oversee the entire asset life cycle, from initiation and ownership to modification and eventual termination. Gain insights into the intricate consumption patterns of resources and the associated costs for decentralized development teams, all while encouraging developers to deliver value with every deployment. It’s essential to ensure that microservices, containers, pods, and Kubernetes clusters operate with optimal resource efficiency, maintaining reliability, availability, and performance standards. Replex facilitates the right-sizing of Kubernetes nodes and cloud instances by leveraging both historical and real-time usage data, serving as a comprehensive repository for all critical performance metrics to enhance decision-making processes. This comprehensive approach ensures that teams can stay on top of their cloud expenses while still fostering innovation and efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform No 
Kubernetes No 
Microsoft Azure No 
Prometheus No 
VMware Cloud No 

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
Kubernetes Yes 
Microsoft Azure Yes 
Prometheus Yes 
VMware Cloud Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Cloud Automator

Founded

2014

Country

Japan

Website

cloudautomator.com

Vendor Details

Company Name

Replex

Founded

2016

Country

Germany

Website

www.replex.io/solution/govern-k8s-environments-distributed-devops-teams-and-infrastructure

Product Features

Cloud Cost Management

Cost Reduction Optimization No 
Dashboard No 
Data Import/Export No 
Data Storage No 
Data Visualization No 
Resource Usage Reporting No 
Roles / Permissions No 
Spend and Cost Reporting No 

Product Features

Cloud Cost Management

Cost Reduction Optimization No 
Dashboard No 
Data Import/Export No 
Data Storage No 
Data Visualization No 
Resource Usage Reporting No 
Roles / Permissions No 
Spend and Cost Reporting No 

Container Management

Access Control No 
Application Development No 
Automatic Scaling No 
Build Automation No 
Container Health Management No 
Container Storage No 
Deployment Automation No 
File Isolation No 
Hybrid Deployments No 
Network Isolation No 
Orchestration No 
Shared File Systems No 
Version Control No 
Virtualization No 

Alternatives

Alternatives

Karpenter Reviews

Karpenter

Amazon
IBM Kubecost Reviews

IBM Kubecost

Apptio, an IBM company
BigTime Reviews

BigTime

BigTime Software
Spot Ocean Reviews

Spot Ocean

Spot by NetApp