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DevOps skills
In demand
Cloud-Native Infrastructure: Broadly, this involves managing scalable, distributed systems in cloud environments. Specific skills include mastering Kubernetes for AI workloads and using serverless computing with platforms like AWS Lambda or Google Cloud Functions.
Automation and CI/CD Pipelines: This encompasses automating software deployment and integration processes. Key skills include expertise in Infrastructure as Code (IaC) tools like Terraform and developing AI-ready CI/CD pipelines with Jenkins or GitLab CI.
AI/ML Integration in DevOps (MLOps): DevOps professionals need to bridge AI model development and deployment. Specific skills include proficiency with ML model versioning tools like MLflow and deploying AI models using container orchestration tools such as Seldon or TFX.
DevOps skills
Out of demand
Manual Configuration Management: While tools like Puppet and Chef are widely used, the trend towards automated IaC solutions such as Terraform and Ansible suggests that manual configuration management tasks may soon be fully automated.
Routine System Monitoring: Traditional system monitoring and alerting, done manually or with basic tools, is increasingly being replaced by AI-driven monitoring solutions that offer automated anomaly detection and predictive insights.
Basic Log Management: While manual log aggregation and analysis using tools like ELK Stack (Elasticsearch, Logstash, Kibana) remain common, advanced AI-based log analysis tools are likely to automate these tasks and provide more actionable insights.
Use AI to find out how your skills match up the the changing demands of the AI-driven market:
