Course Features
- Duration60 hours
- Skill levelAll level
- Batch Strength15
- AssessmentsYes
- Mock InterviewsYes
- Resume BuildingYes
- PlacementsYes
- Flexible TimingYes
- Fee InstallmentsYes
- LanguageTamil/English
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Migration and consolidation strategy - DevOps tools
- Analyze existing artifact - deployment packages, NuGet, Maven, npm
- Container repositories
- Test management tools
- Work management tools
- Recommend migration and integration strategies
- Artifact repositories
- Source control
- Test management
- Work management
- Identify and recommend project metrics, KPIs, and DevOps measurements
- Agile work management
- Mentor team members on Agile techniques and practices
- Scaling Agile practices
- Understanding in-team and cross-team collaboration mechanisms
- Analyze existing quality environment
- Working quality metrics
- Feature flag lifecycle
- Measuring and managing technical debt
- Changes to team structure to optimize quality
- Recommend performance testing strategy
- Inspect and validate code base for compliance
- Inspect and validate infrastructure for compliance
- Secure development strategy
- Integrate code security validation - static code analysis
- Integrate infrastructure security validation
- To design a license management strategy
- VSTS users
- concurrent pipelines
- test environments
- open source software licensing
- third-party DevOps tools and services
- package management licensing
- Design a strategy for end-to-end traceability from work items to working software
- Integrating monitoring and feedback to development teams
- Authentication and access strategy
- Integrating on-premises and cloud resources
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Design a version control strategy
- Working with Branching models
- Introduction to Version control systems
- Understaning Code flow strategy
- External source control
- Integrate source control into third-party continuous integration and continuous deployment (CI/CD) systems
- Private and hosted agents
- Working with third party build systems
- Concurrent pipelines
- Manage Azure pipeline configuration
- Agent queues
- Service endpoints
- Pools
- Webhooks
- Pull request strategies
- Branch and fork strategies
- configure branch policies
- Manage mobile target device sets and distribution groups
- Target UI test device sets
- Provision tester devices for deployment
- Create public and private distribution groups
- Secure and compliant development process
- General (non-secret) configuration data
- secrets, tokens, and certificates
- applications configurations
- Web App
- Azure Kubernetes Service
- containers
- Secrets management
- Web App
- Azure Kubernetes Service
- containers
- Azure Key Vault
- Managing security and compliance in the pipeline
- Monitor code quality
- Configure build to report on code coverage
- Automated test quality
- Test suites and categories
- Monitor quality of tests
- Security analysis tools
- SonarQube
- White Source Bolt
- Open Web Application Security Project
- create deployable images
- Docker
- Hub
- Azure Container Registry
- Docker multi-stage builds
- Design build triggers, tools, integrations, and workflow
- Hybrid build process
- Multi-agent builds
- Build tools and configuration (e.g. Azure Pipelines, Jenkins)
- set up an automated build workflow
- Release tools
- Identify and recommend release approvals and gates
- Measuring quality of release and release process
- Recommend strategy for release notes and documentation
- select appropriate deployment pattern
- Automate inspection of health signals for release approvals by using release gates
- Configure automated integration and functional test execution
- Create a release pipeline
- Azure Kubernetes Service
- Service Fabric
- WebApp
- Create multi-phase release pipelines
- Integrate secrets with release pipeline
- Provision and configure environments
- Manage and modularize tasks and templates - task and variable groups
- Implement blue-green deployments
- Implement canary deployments
- Implement progressive exposure deployments
- Scale a release pipeline to deploy to multiple endpoints
- Deployment groups
- Azure Kubernetes Service
- Service Fabric
- Artifact management tools and practices (Azure Artifacts, npm, Maven, Nuget)
- Abstract common packages to enable sharing and reuse
- Inspect codebase to identify code dependencies that can be converted to packages
- Standardized package types and versions across the solution
- Refactor existing build pipelines to implement version strategy that publishes packages
- Inspect open source software packages for security and license compliance to align with corporate standards - GPLv3
- Configure build pipeline to access package security and license rating - Black Duck, White Source
- Configure secure access to package feeds
- Existing and future hosting infrastructure
- Infrastructure as Code (IaC) technologies
- managing technical debt on templates
- Transient infrastructure for parts of a delivery lifecycle
- Mitigate infrastructure state drift
- Create nested resource templates
- Manage secrets in resource templates
- Provision Azure resources
- Recommend an Infrastructure as Code (IaC) strategy
- Recommend appropriate technologies for configuration management
- ARM Templates
- Terraform
- Chef
- Puppet
- Ansible
- Provision Azure Kubernetes Service - ARM templates, CLI
- Create deployment file for publishing to Azure Kubernetes Service - kubectl, Helm
- Develop a scaling plan
- Compliance and security scanning
- Prevent drift by using configuration management tools
- Automate configuration management by using PowerShell Desired State Configuration (DSC)
- Automate configuration management by using a VM Agent with custom script extensions
- Set up an automated pipeline to inspect security and compliance
- Design practices to measure end-user satisfaction - Send a Smile, app analytics
- Design processes to capture and analyze user feedback from external sources - Twitter, Reddit, Help Desk
- Design routing for client application crash report data
- Monitoring tools and technologies
- Feature usage tracking tools
- Configure crash report integration for client applications
- Develop monitoring and status dashboards
- Implement routing for client application crash report data
- Implement tools to track system usage, feature usage, and flow
- Integrate and configure ticketing systems with development team's work management system
- IT Service Management connector
- ServiceNow Cloud Management
- App Insights work items
- Analyze alerts to establish a baseline
- Analyze telemetry to establish a baseline
- Perform live site reviews and capture feedback for system outages
- Perform ongoing tuning to reduce meaningless or non-actionable alerts
You will be going through detailed 2 to 3 months of AZ – 400 Microsoft Azure DevOps Training
- Detailed instructor led sessions to help you become a proficient Expert in AZ – 400 Microsoft Azure DevOps.
- Build a AZ – soft Azure DevOps professional portfolio by working on hands on assignments and projects.
- Personalised mentorship from professionals working in leading companies.
- Lifetime access to downloadable AZ – 400 Microsoft Azure DevOps Training course materials, interview questions and project resources.
Credo Systemz - Velachery, Chennai
Call Us +91 9884412301
Credo Systemz - OMR, Chennai
Call Us +91 9600112302
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