Audience
DevOps teams
About Azure Resource Manager
Azure Resource Manager is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure account. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment. When a user sends a request from any of the Azure tools, APIs, or SDKs, Resource Manager receives the request. It authenticates and authorizes the request. Resource Manager sends the request to the Azure service, which takes the requested action. Because all requests are handled through the same API, you see consistent results and capabilities in all the different tools. All capabilities that are available in the portal are also available through PowerShell, Azure CLI, REST APIs, and client SDKs. Functionality initially released through APIs will be represented in the portal within 180 days of initial release.
Cloud Maker
Diagram Driven Cloud Infrastructure - Drag and drop design, automated deployment and the benefits of Infrastructure-as-Code, without the complexity!
Cloud Maker lets Solution Architects and DevOps Engineers rapidly diagram infrastructure, check for security issues with Cloud Maker Overwatch, and deploy to the Cloud at the click of a button. Under the hood, we automatically generate Infrastructure-as-Code so that you get all the benefits without having to write a single line of code.
Key features and benefits:
- Visually design beautiful, standardized infrastructure diagrams
- Shift security left with our Overwatch design-time security scanner
- Automatically generate IaC
- Deploy directly to the Cloud with Cloud Maker Pipelines
- Consume your designs and our deployment engine through Azure DevOps, GitHub Actions & JFrog CI/CD integrations.
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AWS CloudFormation
AWS CloudFormation is a infrastructure provisioning and management tool that provides you the ability to create resource templates that specifies a set of AWS resources to provision. The templates allow you to version control your infrastructure, and also easily replicate your infrastructure stack quickly and with repeatability. Define an Amazon Virtual Private Cloud (VPC) subnet or provisioning services like AWS OpsWorks or Amazon Elastic Container Service (ECS) with ease. Run anything from a single Amazon Elastic Compute Cloud (EC2) instance to a complex multi-region application. Automate, test, and deploy infrastructure templates with continuous integration and delivery (CI/CD) automation. AWS CloudFormation lets you model, provision, and manage AWS and third-party resources by treating infrastructure as code. Speed up cloud provisioning with infrastructure as code.
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Google Cloud Deployment Manager
Create and manage cloud resources with simple templates. Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml. You can also use Python or Jinja2 templates to parameterize the configuration and allow reuse of common deployment paradigms such as a load balanced, auto-scaled instance group. Treat your configuration as code and perform repeatable deployments. By creating configuration files which define the resources, the process of creating those resources can be repeated over and over with consistent results. Many tools use an imperative approach, requiring the user to define the steps to take to create and configure resources. A declarative approach allows the user to specify what the configuration should be and let the system figure out the steps to take. The user can focus on the set of resources which comprise the application or service instead of deploying each resource separately.
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eG Enterprise
IT performance monitoring is not about monitoring CPU, memory and network resources any more. eG Enterprise makes user experience the centerpiece of your IT monitoring and management strategy. With eG Enterprise, you can measure the digital experience of your users, get deep visibility into the performance the entire application delivery stack — from code to user experience, and data center to cloud — from a single pane of glass, correlate performance across domains and pinpoint the root-cause of problems proactively. Machine learning and analytics capabilities embedded in eG Enterprise enable IT teams make intelligent decisions regarding right-sizing, optimization and planning for future growth. The result: happy users, enhanced productivity, improved IT efficiency and tangible business ROI. eG Enterprise is available for installation on-premise and as a SaaS solution. Start a free trial today.
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Integrations
Company Information
Microsoft
Founded: 1975
United States
microsoft.com
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Product Details
Platforms Supported
SaaS
Training
Documentation