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Ratings and Reviews 0 Ratings
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What is IBM App Discovery Delivery Intelligence?
IBM® Application Discovery and Delivery Intelligence (ADDI) is an advanced analytical solution aimed at modernizing applications. Utilizing cognitive technologies, it adeptly examines mainframe applications, allowing users to quickly identify and understand the interconnections tied to any changes. This swift enhancement of mainframe applications can play a pivotal role in driving revenue and enabling faster returns on investments. In addition, by deepening the understanding of application complexity, ADDI aids in anticipating potential challenges, which in turn lowers application and development expenses. The platform supports the agile transformation of systems and applications, fully leveraging the advantages of hybrid cloud environments. With improved insights into applications, organizations can enhance productivity while mitigating risks, thus speeding up their digital transformation initiatives. Additionally, the rapid analytical capabilities of the platform allow users to discern relationships between various elements of IBM z/OS® applications, clarifying the potential ramifications of modifications. Users have the ability to swiftly pinpoint critical business rules, code snippets, and APIs, which empowers them to refine business processes and encourage innovation. With ADDI, companies can confidently steer their modernization initiatives while embracing future technological advancements, ensuring they remain competitive in a rapidly evolving landscape. Ultimately, this robust tool not only streamlines operations but also fosters a culture of continuous improvement and agility.
What is ChaosIQ?
Set, manage, and validate your system's reliability objectives (SLOs) along with pertinent metrics (SLIs). Gather all dependable activities in a centralized location while pinpointing necessary actions to be taken. Evaluate the impact on your system’s reliability by analyzing how your infrastructure, team members, and processes are prepared for and respond to adverse conditions. Structure your Reliability Toolkit to correspond with your operational framework, mirroring the organization and teams you collaborate with. Develop, import, execute, and extract valuable insights from comprehensive chaos engineering experiments and tests by utilizing the open-source Chaos Toolkit. Keep a consistent watch on the impacts of your reliability efforts over time by measuring essential indicators like Mean Time to Recovery (MTTR) and Mean Time to Detection (MTTD). Proactively uncover weaknesses in your systems before they develop into significant issues through chaos engineering methodologies. Examine how your system reacts to repeated failures by designing specific experimental scenarios to observe the tangible advantages of your reliability investments, ultimately fostering a more robust operational environment. By engaging in these evaluations and experiments on a regular basis, you can substantially enhance your system's durability and elevate overall effectiveness. This consistent approach not only fortifies operational resilience but also cultivates a culture of continuous improvement among your teams.
Integrations Supported
IBM Z
RadiantOne
Switch Automation
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$75 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/app-discovery-and-delivery-intelligence
Company Facts
Organization Name
ChaosIQ
Date Founded
2017
Company Location
United Kingdom
Company Website
chaosiq.io
Categories and Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Categories and Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions