'How to Maximize Cloud ROI With Containerization - Part 1' cc: Klera_io observabilitytools monitoringtools
There was a time when the cloud was seen mainly as a storage and disaster recovery option. Cloud services providers were engaged in a race to the bottom to lower their rack space prices. Some vendors added load balancers, databases, and monitoring to their service portfolios to achieve differentiation from colocation service and data center providers.
Containers also add agility to development as developers can frequently push code to production in smaller increments, reducing the chances of big failures. They can easily roll back an application to a previous stable version to minimize losses and make changes as per the customer feedback. Further, containers make deployments faster as it is possible to build images automatically at the time of build/release and deploy them as atomic units.
However, developers are now playing a more crucial role beyond writing and committing code. They have increased responsibility for ensuring stable operations in production. It means they need to quickly understand the intricacies of different containerization platforms, learn how to set up and manage Kubernetes clusters, deploy tools for image scanning, etc., and find newer ways to ensure compliance and security across the development lifecycle.
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