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Google Cloud Platform - Compute

GCP - Professional Cloud Developer - products and services Here are the main products and features you should know for the Professional Cloud Developer exam: 1. Compute * Google Compute Engine (GCE) * Virtual machine service that lets you run workloads on Google's infrastructure. * This means that you can create

Web dev: not the coding part

Web dev: not the coding part Assuming you know a programming language So this is gonna sound like a whole lotta things you need to learn but I promise you it’s not, just remember you’re learning concepts and some of many tools that implement them, you’re not

misc software dev notes

Between explaining topics to jr devs and teaching at the "devops and software engineering" class at a coding bootcamp, wrote up some quick talking points on a handful of common topics Software Development Life Cycle (SDLC) * the different stages of developing an application: planning -> design -&

DVA-C01 studying - Opensearch Service, EventBridge, Elastic Kubernetes Services, CodeGuru, CodeStar, Fault Injection Simulator

Opensearch Service (formerly Elasticsearch Service) What it is * https://aws.amazon.com/opensearch-service/ * distributed search and analytics suite derived from Elasticsearch * enables you to perform interactive log analytics, real-time application monitoring, etc. * has visualization capabilities powered by OpenSearch Dashboards and Kibana EventBridge What it is * https://aws.amazon.com/eventbridge/

CKAD studying - services and networking

NetworkPolicies * Pods communicate with eachother, even if on different nodes, over a virtual cluster network managed by Kubernetes * NetworkPolicy - Kubernetes object that lets you restrict network traffic to/from Pods within the cluster network; granular control * can be used to block specific network traffic * non-isolated pods - any Pod

DVA-C01 studying - SQS, SNS, SES, Kinesis, Elastic Beanstalk

SQS - Simple Queue Service What it is * https://aws.amazon.com/sqs/ * distributed message queue service (temp buffer to store messages waiting to be processed) * https://www.youtube.com/watch?v=oUJbuFMyBDk <- good explanation of message queues * helps decouple components of an application * messages can contain up

DVA-C01 studying - CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CodeArtifact, ECS, CloudFormation

CI/CD tldr - making small incremental changes with as much of integration, building, testing, and deployed automated as possible. Countinuous integration - integrating or merging code changes frequently Continuous delivery - automating build, test, deployment Continuous deployment - fully automated release process to staging or prod after change passes

CKAD studying - application design and build

Container Images * image - lightweight, standalone file containing all the software and executables needed to run a container * allows us to package the application to run in a container * Dockerfile - defines what is contained in an image (using Docker) * image is built from the Dockerfile with docker build -

CKAD studying - application deployment

Deployments * deployment - Kubernetes object that defines a desired state for a set of replica Pods using a Pod template * Kubernetes actively maintains that desired state by creating/deleting/replacing those Pods * Pod template provides the Pod configuration that the Deployment will use to create new Pods * replicas field sets

CKAD studying - application observability and maintenance

API Deprecation Policy * read up on Kubernetes API -> https://kubernetes.io/docs/concepts/overview/kubernetes-api/ * deprecation - process of providing advanced warning of changes to the API, giving consumers time to update their code/processes * read up on the deprecation policy -> https://kubernetes.io/docs/reference/