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What is ServiceNow Cloud Observability?

ServiceNow Cloud Observability offers immediate insights and oversight of cloud infrastructures, applications, and services. This platform empowers organizations to pinpoint and address performance issues by consolidating data from various cloud environments into one unified dashboard. With its sophisticated analytics and alerting capabilities, ServiceNow Cloud Observability enables IT and DevOps teams to recognize anomalies, resolve problems, and maintain peak performance levels. Additionally, the platform incorporates AI-driven insights and automation, equipping teams to react swiftly to incidents. By enhancing operational efficiency, it guarantees a smooth user experience across diverse cloud environments, ultimately helping businesses achieve their technological goals.

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
AlertOps
Cortex
Cyral
D2iQ
Docker
Google Cloud Platform
Indent
Jenkins
Kubernetes
Microsoft Azure
NGINX
Opsgenie
PagerDuty
Slack
Zenduty

Integrations Supported

Amazon Web Services (AWS)
AWS AI Services
AWS App Mesh
AWS App2Container
AlertOps
Cortex
Cyral
D2iQ
Docker
Google Cloud Platform
Indent
Jenkins
Kubernetes
Microsoft Azure
NGINX
Opsgenie
PagerDuty
Slack
Zenduty

API Availability

Has API

API Availability

Has API

Pricing Information

$275 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

ServiceNow

Date Founded

2004

Company Location

United States

Company Website

www.servicenow.com/products/observability.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

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

DevOps

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

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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