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DevSysOps at Level 5 RQF - Coggle Diagram
DevSysOps at Level 5 RQF
Amazon EC2 - DevOps teams can use EC2 to provision and manage compute resources, while SysOps teams can monitor and manage EC2 instances for performance, scalability, and security.
Amazon RDS - DevOps teams can use RDS to provision and manage databases, while SysOps teams can monitor and manage RDS instances for performance, scalability, and security.
Amazon CloudWatch - SysOps teams can use CloudWatch to monitor and manage AWS resources, while DevOps teams can use CloudWatch to monitor and analyze application and system logs.
AWS Elastic Beanstalk - DevOps teams can use Elastic Beanstalk to deploy and manage applications, while SysOps teams can monitor and manage Elastic Beanstalk environments for performance and scalability.
AWS CloudFormation - DevOps teams can use CloudFormation to automate infrastructure deployment, while SysOps teams can use CloudFormation to manage and monitor infrastructure changes.
AWS Lambda - DevOps teams can use Lambda to deploy and manage serverless functions, while SysOps teams can monitor and manage Lambda functions for performance and security.
AWS CodeDeploy - DevOps teams can use CodeDeploy to automate application deployment, while SysOps teams can monitor and manage deployments for performance, availability, and security.
AWS CodePipeline - DevOps teams can use CodePipeline to automate continuous integration and delivery, while SysOps teams can monitor and manage the pipeline for performance, availability, and security.
Amazon S3 - DevOps teams can use S3 to store and manage application and system data, while SysOps teams can monitor and manage S3 buckets for performance, security, and compliance.
Amazon SQS - DevOps teams can use SQS to manage application messaging and workflows, while SysOps teams can monitor and manage SQS queues for performance, scalability, and security.
Amazon Kinesis - DevOps teams can use Kinesis to stream and process real-time data, while SysOps teams can monitor and manage Kinesis streams for performance, scalability, and security.
AWS Identity and Access Management (IAM) - SysOps teams can use IAM to manage user and resource access, while DevOps teams can use IAM to integrate with third-party tools and services.
Amazon CloudFront - DevOps teams can use CloudFront to distribute and accelerate content delivery, while SysOps teams can monitor and manage CloudFront distributions for performance, scalability, and security.
Amazon Redshift - DevOps teams can use Redshift to provision and manage data warehousing, while SysOps teams can monitor and manage Redshift clusters for performance, scalability, and security.
AWS Glue - DevOps teams can use Glue to automate ETL jobs and data pipelines, while SysOps teams can monitor and manage Glue jobs and data sources for performance, scalability, and security.
Azure DevOps + Azure SQL Database: Use Azure DevOps to deploy and manage SQL databases on Azure SQL Database, which provides a scalable and secure platform for running relational databases in the cloud.
Azure DevOps + Azure Active Directory: Use Azure DevOps to manage authentication and access control for applications using Azure Active Directory, which provides a cloud-based identity and access management service.
Azure DevOps + Azure Cosmos DB: Use Azure DevOps to deploy and manage NoSQL databases on Azure Cosmos DB, which provides a globally distributed and highly scalable platform for running NoSQL databases in the cloud.
Azure DevOps + Azure Virtual Machines: Use Azure DevOps to provision and manage virtual machines on Azure Virtual Machines, which provides a scalable and flexible platform for running applications on virtual machines.
Azure DevOps + Azure Functions: Use Azure DevOps to build and deploy serverless functions to Azure Functions, which provides a scalable and cost-effective platform for running event-driven applications.
Amazon Cognito - DevOps teams can use Cognito to manage user authentication and authorization, while SysOps teams can monitor and manage Cognito user pools for performance, scalability, and security.
Amazon Elasticsearch Service - DevOps teams can use Elasticsearch Service to provision and manage search and analytics workloads, while SysOps teams can monitor and manage Elasticsearch clusters for performance, scalability, and security.
AWS Step Functions - DevOps teams can use Step Functions to manage complex workflows and application logic, while SysOps teams can monitor and manage Step Functions for performance, scalability, and security.
AWS CloudTrail - SysOps teams can use CloudTrail to monitor and manage AWS API activity, while DevOps teams can use CloudTrail to audit and troubleshoot application and system activity.
Amazon Elastic File System (EFS) - DevOps teams can use EFS to provision and manage file storage, while SysOps teams can monitor and manage EFS volumes for performance, scalability, and security.
Azure DevOps + Azure Monitor: Use Azure DevOps to monitor the performance and health of applications using Azure Monitor, which provides a centralized platform for monitoring Azure resources and applications.
Azure DevOps + Azure Service Bus: Use Azure DevOps to build and deploy event-driven applications using Azure Service Bus, which provides a scalable and reliable platform for messaging between applications and services.
Azure DevOps + Azure Key Vault: Use Azure DevOps to manage and secure secrets and keys using Azure Key Vault, which provides a centralized platform for storing and accessing cryptographic keys and secrets.
Azure DevOps + Azure Traffic Manager: Use Azure DevOps to manage and deploy global applications using Azure Traffic Manager, which provides a scalable and reliable platform for routing traffic to different endpoints.
Azure DevOps + Azure Container Registry: Use Azure DevOps to build and deploy container images to Azure Container Registry, which provides a centralized platform for storing and managing container images.
Azure DevOps + Azure Storage: Use Azure DevOps to manage and store data using Azure Storage, which provides a scalable and reliable platform for storing and accessing data in the cloud.
Azure DevOps + Azure CDN: Use Azure DevOps to deliver content faster and more reliably using Azure CDN, which provides a global content delivery network for caching and delivering content to users.
Azure DevOps + Azure Automation: Use Azure DevOps to automate and manage repetitive tasks using Azure Automation, which provides a centralized platform for automating common tasks and workflows.
Azure DevOps + Azure Databricks: Use Azure DevOps to build and deploy big data applications using Azure Databricks, which provides a collaborative and scalable platform for running big data workloads.
Azure DevOps + Azure Batch: Use Azure DevOps to manage and deploy batch jobs using Azure Batch, which provides a scalable and cost-effective platform for running batch processing jobs in the cloud
Azure DevOps + Azure Machine Learning: Use Azure DevOps to build and deploy machine learning models using Azure Machine Learning, which provides a scalable and collaborative platform for building and deploying machine learning models.
Azure DevOps + Azure Logic Apps: Use Azure DevOps to build and deploy workflows and integrations using Azure Logic Apps, which provides a scalable and flexible platform for connecting applications, data, and services across the cloud and on-premises environments.
Azure DevOps + Azure Security Center: Use Azure DevOps to manage and monitor security across your cloud infrastructure using Azure Security Center, which provides a unified and integrated platform for securing your Azure resources and workloads.
Azure DevOps + Azure API Management: Use Azure DevOps to build and deploy APIs to Azure API Management, which provides a scalable and secure platform for managing APIs in the cloud.
Azure DevOps + Azure Kubernetes Service: Use Azure DevOps to build and deploy containerized applications to Azure Kubernetes Service, which provides a scalable and reliable platform for running containerized applications.
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