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    The Vietnam DevOps market has reached a valuation of USD 700 million in 2022 and is expected to experience strong growth in the forecast period, with a projected Compound Annual Growth Rate (CAGR) of 23.2% through 2028. The technology landscape in Vietnam is undergoing a significant transformation, and the DevOps market is emerging as a pivotal player. DevOps, a methodology that integrates software development and IT operations to enhance collaboration and automation, is gaining traction across various industries in Vietnam.
    • The rise of cutting-edge technologies like AI, new methodologies and a heightened focus on automation and security
    • Staying agile to get ahead of the curve
    • Infrastructure as Code (IaC) – enabling consistent and repeatable deployments
    • Continuous integration and continuous deployment (CI/CD): Automation in CI/CD pipelines ensures rapid and reliable code integration and deployment
    • Self-Healing Systems: Modern automation also includes self-healing capabilities, where systems automatically detect and resolve issues without human intervention
    • Container Orchestration: managing containers, handling deployment, scaling, and maintenance, ensuring applications run smoothly
    • Platform Engineering: freeing developers from repetitive tasks, improving consistency, and delivering software faster across the organization.
    • Microservices Integration: allowing individual parts of an application to be updated or scaled without affecting the whole system, thus enhancing agility
    • Shift-Left Security: incorporating security measures early in the development cycle to identify and address vulnerabilities promptly, reducing potential risks
    • Automated Security Testing Tools: running automated security checks throughout the entire software development pipeline, making it easier to detect and fix issues before they reach production
    • Zero-Trust Architectures
    • Unified Observability Platforms
    • Proactive Monitoring
    • AI and ML for Enhanced Observability
    • Predictive Analytics for Incident Management
    • Automated Testing
    • Self-Healing Systems
    • Adopting agile methologies for continuous improvement
    • Creating cross-functional product teams for DevOps
    • Agentic AI in DevOps

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