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features
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support

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Write a Review

Description

IBM Apptio integrates financial and operational information into a cohesive model based on a widely accepted categorization of costs. By employing advanced allocation rules in conjunction with targeted metrics and key performance indicators (KPIs), we empower businesses to address critical inquiries concerning their investments and streamline their budgeting and forecasting procedures. This capability allows organizations to communicate investment rationales and deviations from plans more efficiently to stakeholders and executive leadership, ultimately leading to the identification of opportunities for optimizing cost structures, mitigating risks, and fostering growth. Furthermore, adopting a structured perspective on IT expenditures, both actual and projected, grounded in an established framework facilitates swifter ad hoc analyses and enhances budgeting cycles. By minimizing overall IT spending through the reduction of waste, elimination of redundancies, and alignment of investments with strategic goals, businesses can significantly cut down on the time allocated to forecasting. This approach not only increases the frequency of updates but also frees up resources, enabling a focus on higher-value initiatives that drive long-term success.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Atlassian Clover Yes 
Capgemini Intelligent Automation Platform Yes 
Cherwell HR Service Management Yes 
Clarity by Rego Yes 
CloudFX Yes 
Google Cloud Platform Yes 
IBM Cloudability Yes 
IBM Targetprocess Yes 
Infosys BPM Yes 
Microsoft Azure Yes 
OpenOps Yes 
PagerDuty Yes 
Rackspace Yes 
RequirementsHub Yes 
Teamstack Yes 
VMware Cloud Yes 
Wipro Promax Yes 

Integrations

Amazon Web Services (AWS) Yes 
Atlassian Clover No 
Capgemini Intelligent Automation Platform No 
Cherwell HR Service Management No 
Clarity by Rego No 
CloudFX No 
Google Cloud Platform No 
IBM Cloudability No 
IBM Targetprocess No 
Infosys BPM No 
Microsoft Azure No 
OpenOps No 
PagerDuty No 
Rackspace No 
RequirementsHub No 
Teamstack No 
VMware Cloud No 
Wipro Promax No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.apptio.com/products/ibm-apptio/

Vendor Details

Company Name

Cloud Automator

Founded

2014

Country

Japan

Website

cloudautomator.com

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 

SaaS Management

License Management Yes 
Onboarding No 
Renewal Management No 
SaaS Operations Management No 
Shadow IT Detection No 
Spend Management Yes 
Subscription Management No 
Usage Tracking / Analytics Yes 
Vendor Management Yes 

Spend Management

Approval Workflow No 
Budgeting / Forecasting No 
Expense Tracking No 
Multi-Currency No 
Prepaid Cards No 
Procurement Management No 
Receipt Management No 
Spend Analysis No 
Spend Control No 
Supplier Management 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 

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Alternatives

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