February 2017
Intermediate to advanced
67 pages
1h 22m
English
Content preview from Cloud-Native Evolution
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Chapter 4. Dynamic Microservices
After basic microservices are in place, businesses can begin to take advantage of cloud features. A dynamic microservices architecture allows rapid scaling-up or scaling-down, as well as deployment of services across datacenters or across cloud platforms. Resilience mechanisms provided by the cloud platform or built into the microservices themselves allow for self-healing systems. Finally, networks and datacenters become software defined, providing businesses with even more flexibility and agility for rapidly deploying applications and infrastructure.
Scale with Dynamic Microservices
In the earlier stages of cloud-native evolution, capacity management was about ensuring that each virtual server had enough memory, CPU, storage, and so on. Autoscaling allows a business to scale the storage, network, and compute resources used (e.g., by launching or shutting down instances) based on customizable conditions.
However, autoscaling on a cloud instance–level is slow—too slow for a microservices architecture for which dynamic scaling needs to occur within minutes or seconds. In a dynamic microservices environment, rather than scaling cloud instances, autoscaling occurs at the microservice level. For example for a service with low-traffic, only two instances might run, and be scaled up at load-peak time to seven instances. After the load-peak, the challenge is to scale the service down again; for example, back down to two running instances.
In a monolithic ...
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