There are several activities being strategically planned and executed to enhance the resiliency, robustness, and versatility of enterprise, edge, and embedded IT. It is overwhelmingly accepted that the domains of data analytics and machine learning are going to be the key differentiators for corporations in fulfilling the varying expectations of their customers, clients, and consumers. This chapter has described the various post-production data analytics to allow you to gain a deeper understanding of applications, middleware solutions, databases, and IT infrastructures to manage them effectively and efficiently. Machine-learning algorithms enable the formation of self-learning models to predict problems and prescribe the viable solutions to surmount them. Thus, data analytics methods and ML algorithms come in handy in realizing resilient IT. The other important facets include static and dynamic code analyzes to proactively identify bugs in software code to enhance application reliability. 

In the next chapter we will be learning about why a multi-cloud approach is gaining unprecedented market and mind shares.