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DevOps SRE & Platform Engineering

Corporate Training for DevOps, SRE & Platform Engineering
  • Software developers releasing code more frequently
  • QA engineers automating testing in delivery pipelines
  • IT operations teams adopting automated release processes

Manual releases are slow and error-prone. Teams trained in CI/CD ship faster, catch issues earlier, and reduce the risk of costly production failures.

  • Building and managing CI/CD pipelines
  • Automated testing and deployment strategies
  • Tools: Jenkins, GitLab CI, GitHub Actions
  • Release management best practices
  • DevOps engineers deploying containerized workloads
  • Cloud engineers managing scalable infrastructure
  • Backend developers working with microservices

Containers are now the standard for scalable applications. Kubernetes skills let teams deploy, scale, and manage workloads reliably — without the operational chaos of manual container management.

  • Container fundamentals and Docker
  • Kubernetes architecture and core concepts
  • Deploying and scaling containerized applications
  • Managing clusters in production
  • Infrastructure engineers transitioning to SRE practices
  • Operations teams focused on uptime and reliability

Downtime costs money and trust. SRE-trained teams build systems that stay reliable at scale, respond to incidents faster, and reduce repeat failures.

  • SRE principles: SLIs, SLOs, and error budgets
  • Incident management and on-call practices
  • Building resilient, self-healing systems
  • Reducing toil through automation
  • Cloud engineers automating infrastructure provisioning
  • DevOps professionals managing configuration at scale
  • IT admins standardizing infrastructure deployment

Manually configured infrastructure doesn’t scale and is hard to audit. IaC skills let teams provision infrastructure consistently, quickly, and with full version control.

  • Infrastructure as Code principles
  • Writing and managing Terraform configurations
  • Configuration management with Ansible
  • Version control and infrastructure automation workflows
  • SREs and DevOps engineers managing complex systems
  • Platform teams using AI-driven monitoring tools

Modern systems generate too much data for manual monitoring. AIOps skills help teams detect anomalies and resolve issues proactively — before they impact customers.

  • AI-driven monitoring and anomaly detection
  • Tools: Datadog, Dynatrace, and similar platforms
  • Proactive incident prevention
  • Integrating AIOps into existing observability stacks
  • Senior DevOps engineers building internal developer platforms
  • Infrastructure architects improving developer experience

Developers waste time fighting infrastructure instead of building products. Platform engineering skills help teams build internal platforms that boost productivity and speed up delivery.

  • Designing internal developer platforms (IDPs)
  • Self-service infrastructure for development teams
  • Standardizing tooling and workflows
  • Measuring and improving developer experience

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