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What is Komodor?

Komodor streamlines the troubleshooting journey for Kubernetes, providing you with crucial tools to tackle issues with confidence. It monitors your complete Kubernetes ecosystem, identifies problems, uncovers their root causes, and supplies the context needed for effective and independent resolution. The platform automatically detects anomalies, deployment issues, misconfigurations, bottlenecks, and various health-related challenges. By doing so, it allows you to spot potential problems early on, preventing them from affecting end-users. Utilizing pre-defined playbooks enhances your ability to conduct root cause analysis, avoiding disruptive escalations and saving precious developer resources. Additionally, it offers straightforward remediation guidance, enabling every team member to function like a skilled troubleshooting veteran, thereby creating a more resilient operational landscape. This proactive strategy not only boosts team productivity but also fosters a culture of continuous improvement and enhances the overall reliability of the system. In an ever-evolving tech environment, such capabilities become indispensable for maintaining high service quality.

What is Amazon DevOps Guru?

Amazon DevOps Guru is an innovative service driven by machine learning that optimizes the efficiency and reliability of applications. By detecting deviations from standard operating behaviors, it enables early identification of operational issues, thus mitigating possible negative impacts on users. Utilizing machine learning models that have been developed from vast amounts of data over many years at Amazon.com and AWS Operational Excellence, it can identify atypical application activities such as increased latency, higher error rates, and resource limitations, which assist in uncovering critical errors that could interrupt service. When a significant issue is detected, DevOps Guru swiftly sends out an alert, providing a summary of the detected anomalies, insights into likely root causes, and information on when and where the issue occurred. This proactive methodology not only enhances application performance but also contributes to creating a more robust and trustworthy service environment. Furthermore, by continuously learning from operational data, it consistently improves its accuracy in identifying potential issues before they escalate.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AWS AI Services
AWS App Mesh
AWS App2Container
Bitbucket
Datadog
DigitalOcean
GitHub
GitLab
Google Cloud Platform
Kubernetes
Microsoft Azure
New Relic
Opsgenie
PagerDuty
Prometheus
Rancher
Slack
k0rdent

Integrations Supported

Amazon Web Services (AWS)
AWS AI Services
AWS App Mesh
AWS App2Container
Bitbucket
Datadog
DigitalOcean
GitHub
GitLab
Google Cloud Platform
Kubernetes
Microsoft Azure
New Relic
Opsgenie
PagerDuty
Prometheus
Rancher
Slack
k0rdent

API Availability

Has API

API Availability

Has API

Pricing Information

$10 per node per month
Free Trial Offered?
Free Version

Pricing Information

$0.0028 per resource per hour
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

Komodor

Company Location

Israel

Company Website

komodor.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Incident Management

Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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