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DevOps

DevOps is a set of practices that integrates software development and IT operations to deliver software faster, more reliably, and with continuous improvement. It focuses on automation, CI/CD pipelines, infrastructure as code, monitoring, and collaboration between teams to streamline the entire lifecycle from code to production.

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Opnåede færdigheder:

Alerting and MonitoringAnvendelse af automatiseringsværktøjerAutomated Testing for MLAutomation ConceptsAutoscaling StrategiesBalancing Automation and Manual ProcessesBash ScriptingBasic Network ProtocolsBrug af CI/CD-pipelinesCI/CD for MLChaos Engineering PrinciplesCollaboration in DevOpsCompute Resource FundamentalsConfiguration FilesConfiguration Management BasicsConfiguration management and task automation with AnsibleContainer MonitoringContainer Resource ManagementContainerization with PythonContinuous ImprovementContinuous Integration DeliveryCritical Thinking in AutomationCron JobsData Visualization for DevOpsDecision-Making in Software DevelopmentDeployment StrategiesDesigning Logging SystemsDevOps Culture FundamentalsDevOps Environment TypesDevOps FundamentalsDevOps PrinciplesDeveloper IntuitionEnvironment Separation FundamentalsEnvironment VariablesExperiment Tracking with MLflowFeedback LoopsForståelse af DevOps-kultur og -praksisIncident AnalysisIncident ManagementInfrastructure as CodeInstance SelectionLoad Testing StrategiesLog AnalysisLog ManagementLog ParsingLog Types and Use CasesLogging Best PracticesLogging FundamentalsLogging PatternsLogging ToolsML Model DeploymentMLOps FundamentalsManaging remote servers and inventoriesMetrics InterpretationModel Deployment with FastAPI and DockerModel Monitoring and CI/CDModel VersioningModern Architectural PatternsMonitoring FeedbackMonitoring and ObservabilityNetwork UtilitiesObservability BasicsPackage Management on ServersPerformance MetricsPerformance OptimizationPerformance Testing FundamentalsPerformance Tuning in ContainersPipeline Automation with AirflowProblem-Solving with Automated ToolsProcess AutomationProduction ML MonitoringPython AutomationPython Scripting for DevOpsReliability EngineeringResource Constraints ManagementSLIs and SLOsSSH and Remote AccessScalability and AutomationScaling Container WorkloadsSecrets Management IntroductionStress Testing TechniquesSystem Architecture FundamentalsSystem MonitoringSystem Monitoring with PythonSystemd and Process ManagementTeam CollaborationTest Analysis and InterpretationTool IntegrationTracing FundamentalsTroubleshooting Containerized ApplicationsUnderstanding YAML syntax and structureValue Stream MappingWorkload AnalysisWriting and running Ansible playbooks

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Kurser

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Niveau

Lektionstype

Teknologier

Introduction to DevOps

2 timer

27 kapitler

Begynder

2 STUDERER NU

Opnåede færdigheder: Understanding DevOps culture and practices, Using CI/CD pipelines, Applying automation tools

Linux for DevOps Engineer

1 time

11 kapitler

Begynder

3 STUDERER NU

Opnåede færdigheder: Systemd and Process Management, Log Management, System Monitoring, SSH and Remote Access, Bash Scripting, Cron Jobs, Environment Variables, Configuration Files, Network Utilities, Basic Network Protocols, Package Management on Servers

DevOps Principles and Practices

1 time

11 kapitler

Begynder

Opnåede færdigheder: DevOps Fundamentals, Automation Concepts, Continuous Integration Delivery, Infrastructure as Code, Monitoring Feedback, Team Collaboration

Introduction to Ansible

1 time

12 kapitler

Begynder

1 STUDERER NU

Opnåede færdigheder: Configuration management and task automation with Ansible, Writing and running Ansible playbooks, Managing remote servers and inventories, Understanding YAML syntax and structure

MLOps Foundations

1 time

16 kapitler

Begynder

Opnåede færdigheder: MLOps Fundamentals, Experiment Tracking with MLflow, Model Deployment with FastAPI and Docker, Pipeline Automation with Airflow, Model Monitoring and CI/CD

Automating Code and Thinking Manually

1 time

12 kapitler

Begynder

Opnåede færdigheder: Critical Thinking in Automation, Decision-Making in Software Development, Problem-Solving with Automated Tools, Developer Intuition, Balancing Automation and Manual Processes

Effective Logging Strategies

1 time

12 kapitler

Begynder

Opnåede færdigheder: Logging Fundamentals, Log Types and Use Cases, Designing Logging Systems, Logging Patterns, Logging Best Practices, Logging Tools, Log Analysis

Python for DevOps Beginners

4 timer

21 kapitler

Avanceret

1 STUDERER NU

Opnåede færdigheder: Python Automation, System Monitoring with Python, Log Parsing, Data Visualization for DevOps, Python Scripting for DevOps

Container Behavior Under Load

2 timer

12 kapitler

Mellemniveau

Opnåede færdigheder: Container Resource Management, Performance Tuning in Containers, Container Monitoring, Troubleshooting Containerized Applications, Scaling Container Workloads

Performance and Reliability Testing

1 time

14 kapitler

Begynder

Opnåede færdigheder: Performance Testing Fundamentals, Load Testing Strategies, Stress Testing Techniques, Chaos Engineering Principles, Test Analysis and Interpretation, Reliability Engineering

Understanding Compute for DevOps

1 time

12 kapitler

Begynder

Opnåede færdigheder: Compute Resource Fundamentals, Workload Analysis, Instance Selection, Resource Constraints Management, Autoscaling Strategies, Performance Optimization

DevOps Culture

1 time

12 kapitler

Begynder

Opnåede færdigheder: DevOps Culture Fundamentals, Collaboration in DevOps, Feedback Loops, Continuous Improvement, Process Automation, Performance Metrics, Incident Management, Tool Integration, Value Stream Mapping, Monitoring and Observability

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Topkurser i DevOps kategori

1.	Introduktion til DevOps	2 timer	27 kapitler
2.	Linux for DevOps Engineer	1 timer	11 kapitler
3.	DevOps Principles and Practices	1 timer	11 kapitler
4.	Introduction to Ansible	1 timer	12 kapitler
5.	MLOps Foundations	1 timer	16 kapitler