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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Amazon DevOps Guru leverages machine learning technology to enhance the operational efficiency and reliability of applications. This service identifies unusual behaviors that stray from standard operational patterns, allowing teams to pinpoint potential operational errors before they impact users. By utilizing machine learning models informed by years of data from Amazon.com and AWS Operational Excellence, DevOps Guru can recognize anomalous behaviors in applications, such as spikes in latency, rising error rates, and resource constraints. Furthermore, it plays a crucial role in spotting significant errors that may lead to service disruptions. Upon detecting a critical issue, DevOps Guru promptly issues an alert and supplies a comprehensive summary of the associated anomalies, potential root causes, and contextual information regarding the timing and location of the problem, thereby facilitating quicker resolution and minimizing downtime. This proactive approach not only helps maintain service quality but also empowers teams to respond effectively to incidents.

Description

System Initiative serves as a collaborative tool aimed at alleviating the small frustrations often encountered in DevOps tasks. It utilizes comprehensive models that leverage their interconnections to dynamically interpret configurations and automate code generation as needed. Through qualifications, users gain immediate clarity on the feasibility of their configurations, allowing them to incorporate policies directly into the simulation. The platform features a fully interactive multiplayer interface that facilitates seamless cooperation among specialists, which is essential to effective DevOps practices. Users can enhance functionality and enforce policies, with every aspect represented as a TypeScript function existing on a reactive hypergraph. While we are committed to the core ideals of DevOps, it is important to recognize that current practices often result in numerous minor inconveniences and subpar results. To achieve better outcomes, we must rethink our beliefs about what is achievable. Collaboration across various disciplines has always been central to DevOps, and it has required a vast community effort to create the tools and methodologies we use today. This collaborative spirit is vital as we strive for progress and seek to overcome the challenges that hinder our work.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
AWS App Mesh Yes 
AWS App2Container Yes 
Amazon Web Services (AWS) Yes 

Integrations

AWS AI Services No 
AWS App Mesh No 
AWS App2Container No 
Amazon Web Services (AWS) No 

Pricing Details

$0.0028 per resource per hour
Free Trial No 
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) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/es/devops-guru/

Vendor Details

Company Name

System Initiative

Country

United States

Website

www.systeminit.com

Product Features

DevOps

Approval Workflow No 
Dashboard No 
KPIs No 
Policy Management No 
Portfolio Management No 
Prioritization No 
Release Management No 
Timeline Management No 
Troubleshooting Reports No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

DevOps

Approval Workflow No 
Dashboard No 
KPIs No 
Policy Management No 
Portfolio Management No 
Prioritization No 
Release Management No 
Timeline Management No 
Troubleshooting Reports No 

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