By Barbara Liskov, John V. Guttag
Abstraction and Specification in application improvement deals pros in application layout and software program engineering a strategy that might allow them to build courses which are trustworthy and fairly effortless to appreciate, alter, and retain. strong programming includes the systematic mastery of complexity, and this publication offers the 1st unified remedy of the options of abstraction and specification, which, the authors argue, are the linchpin of any powerful method of programming. They position specific emphasis at the use of knowledge abstraction to supply hugely modular courses. The authors specialise in the method of decomposing huge application tasks into self sustaining modules that may be assigned to self reliant operating teams. They speak about tools of decomposition, the types of modules which are most respected during this procedure, and methods to extend the possibility that modules produced can in truth be recombined to unravel the unique programming challenge. there are various examples of abstractions through the textual content, and every bankruptcy ends with pertinent references and routines. lots of the pattern implementations within the publication are written in CLU, considered one of more and more languages in a position to help info abstraction. enough fabric is incorporated, despite the fact that, to permit the reader to paintings in Pascal to boot. the cloth during this ebook used to be built through the authors in the course of a decade of educating undergraduate, graduate, and professional-level classes. Barbara Liskov, the developer of CLU, is Professor and John Guttag an affiliate Professor of laptop technology at MIT. Abstraction and Specification in application improvement is integrated within the MIT electric Engineering and laptop technology sequence.
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These containers can mount the same volume to access the files inside the volume. 30 Chapter 3 ■ Kubernetes Kubernetes’s big advantage is that it has a tight integration with cloud providers like AWS and GCE. This integration makes possible the use of storage units like EBS (Elastic Block Store) in the case of AWS. That’s very important, since in some cases, simple volume mounts on the same host are not enough. For example, let’s say you have a database running in a container, and you want to mount the data folder so your data is persisted on the host.
285Z"}% Great! We have our application fully running in our local Kubernetes cluster. The transition to a production cluster will not be hard at all. We just need to configure two more elements in our architecture: the load balancers and the volume for persisting the data. There are also some minor changes we need to make to our application to run on production. For example, we’ll need a secret token for production and also to configure our database. 47 Chapter 3 ■ Kubernetes Launching an AWS Kubernetes Cluster Right now if we run $ kubectl config current-context We get: minikube That’s because when we installed Minikube, we created a specific context so we could interact with our local cluster with kubectl.
Io/docs/getting-startedguides/aws/) indicates that we can run a simple command for launching a cluster with some default settings. You have to keep in mind that these resources are not in the Free Tier, so you may want to delete the entire cluster once you no longer need it. That way you only are going to pay according to the number of hours your instances were up. The documentation also indicates that: By default, the script provides a new VPC and a four-node k8s cluster in us-west-2a (Oregon) with EC2 instances running on Debian and then mentions that you can override this configuration by setting the following environmental variables in your system: KUBE_AWS_ZONE NUM_NODES MASTER_SIZE NODE_SIZE AWS_S3_REGION AWS_S3_BUCKET INSTANCE_PREFIX In our case, four nodes can be a little too much just for this simple API and the Database.