How to scale beyond modernization

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After modernization, organizations need to go beyond microservices, containers, and DevOps to achieve true agility at scale.

Following modernization, organizations may be challenged to achieve maximum agility from their applications for many reasons. For example, the scalability and elasticity of the application portfolio may remain dependent on IaaS and PaaS layers. Additionally, the application layer may still operate in a traditional static manner, meaning that DevOps teams face the same challenges experienced in a monolithic architecture.

To truly achieve agility at scale with application modernization, enterprises need to think beyond the adoption of microservices, containerization, and the DevOps approach in the development process. Accelerated development velocity is of no relevance if there are challenges further along in the workstream. For example, if there is a bottleneck in operations, improvements in time-to-market from having an updated architecture will never yield the anticipated benefits.

The path beyond adoption of modern architectures includes establishing the right blend of intelligent design-time and run-time controls to continuously monitor, govern, predict, and self-heal a cloud-native ecosystem. Design-time controls focus on preventing failures by injecting design patterns on service discovery, event sourcing, rules management, and data-model designs. Run-time controls help detect, predict, and auto-resolve failures by implementing mechanisms such as continuous logging, monitoring, and proactively self-healing for faulty or low-performing microservices. This means operations has the same level of elasticity and scalability as the application layer.

A DevSecOps toolchain includes end-to-end run-time controls with intelligent logging, monitoring, and auto-healing solutions that can proactively detect or predict application errors and security vulnerabilities, correlate and perform root-cause analyses across app code, container, PaaS, and IaaS layers using policy and AI/Ml-based models, and trigger auto-resolution/business transaction reconciliation using purpose-built RPA and orchestration solutions.

For more information, please check out The app-modernization manual: The definitive guide to building intelligent apps from Capgemini, or reach out.

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