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What is Opsani?

We stand as the exclusive provider in the market that can autonomously tune applications at scale, catering to both individual applications and the entire service delivery framework. Opsani ensures your application is optimized independently, allowing your cloud solution to function more efficiently and effectively without demanding extra effort from you. Leveraging cutting-edge AI and Machine Learning technologies, Opsani's COaaS continually enhances cloud workload performance by dynamically reconfiguring with every code update, load profile change, and infrastructure improvement. This optimization process is seamless, integrating effortlessly with a single application or across your entire service delivery ecosystem while autonomously scaling across thousands of services. With Opsani, you can tackle these challenges individually and without compromise. By utilizing Opsani's AI-driven algorithms, you could realize cost reductions of up to 71%. The optimization methodology employed by Opsani entails ongoing evaluation of trillions of configuration possibilities to pinpoint the most effective resource distributions and parameter settings tailored to your specific requirements. Consequently, users can anticipate not only enhanced efficiency but also a remarkable increase in overall application performance and responsiveness. Additionally, this transformative approach empowers businesses to focus on innovation while leaving the complexities of optimization to Opsani’s advanced solutions.

What is Google Cloud Deployment Manager?

Effortlessly generate and manage cloud resources by utilizing intuitive templates. With Google Cloud Deployment Manager, you can define all essential components for your application in a declarative style using YAML. Moreover, you have the option to use Python or Jinja2 templates to make the configuration adaptable, which supports the reuse of common deployment strategies such as a load-balanced, auto-scaled instance group. By treating your configuration as code, you can easily achieve consistent deployments with minimal effort. The process of creating configuration files that specify the needed resources ensures that resource generation can be efficiently and reliably replicated. In contrast to various tools that adopt an imperative method, which demands that users outline every step taken in resource creation and setup, a declarative method allows users to establish desired configurations, permitting the system to figure out the necessary actions. This change in perspective enables users to focus on the overall resources that comprise their application or service instead of managing individual resources separately. Consequently, this approach simplifies the deployment process, significantly improving both efficiency and dependability. Additionally, it empowers teams to collaborate more effectively by providing a shared understanding of resource configurations.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AppDynamics
DROPS
Datadog
DigitalOcean
GitHub
Google Cloud Platform
IBM Cloud
Jenkins
Kubernetes
Microsoft Azure
NGINX
New Relic
Prometheus
Spinnaker
Terraform

Integrations Supported

Amazon Web Services (AWS)
AppDynamics
DROPS
Datadog
DigitalOcean
GitHub
Google Cloud Platform
IBM Cloud
Jenkins
Kubernetes
Microsoft Azure
NGINX
New Relic
Prometheus
Spinnaker
Terraform

API Availability

Has API

API Availability

Has API

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Opsani

Date Founded

2015

Company Location

United States

Company Website

opsani.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/deployment-manager/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

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

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

DevOps

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

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