Code Deploy and Cloudwatch for Beginners

Explore end-to-end AKS monitoring on Azure, detailing six levels from network to application performance and recommending tools like Network Watcher, Prometheus, and Azure Monitor.

Master CI/CD with Azure Pipelines by building Docker images, pushing to ACR, and deploying via GitOps on an AKS cluster using Argo CD and Kubernetes manifests.

Explore modules and packages, reuse code with imports. Design functions that take inputs and return outputs; learn Python packaging with PYPI, pip, and virtual environments for project isolation.

Learn to build python calculators in code spaces or vscode using def functions. Move from linear code to modular, reusable code with clear debugging and devops use cases.

Explore configuration management with Ansible, comparing Puppet, Chef, and Salt; learn push, agentless deployment, inventory and dynamic inventory, Windows and Linux support, and YAML-based playbooks.

Learn to use Azure CLI for quick actions and automation, compare it to the Azure portal, and install and configure Azure CLI on Windows, Mac OS, and Linux.

Explore end-to-end CI/CD for a microservice app using Azure Pipelines for CI and Detox for CD, including Docker image creation, security scans, ACR pushes, and Argo CD deployments to AKS.

Discover how to automate cross-cloud infrastructure from AWS to Azure and on-prem OpenStack using CloudFormation templates (CFT), Azure Resource Manager (ARM), Heat templates, and Terraform as API as code.

Turn a Python script into a Flask API that GitHub posts to via webhooks, enabling automatic Jira ticket creation through the Jira API with JSON payloads.

Explore Azure storage services—blob, file, tables, and queues—and how to create and manage a storage account for unstructured data, shared files, and no-SQL use cases.

Explore how containers differ from virtual machines, learn the docker lifecycle from writing a dockerfile to pushing images, and master docker components, networking, and distroless security.

Explore Azure regions and availability zones to reduce latency, and compare infrastructure as a service, platform as a service, and software as a service with virtual machines, storage, and databases.

This lecture outlines a six-level end-to-end monitoring framework for Azure Kubernetes Service deployments, from network components to application performance, with tools like Network Watcher, Prometheus, and Azure Monitor.

Explore deploying code with Azure DevOps pipelines on a linux virtual machine, configuring a docker-enabled Azure agent, and migrating from GitHub to Azure pipelines.

Discover when to use shell scripting versus python for devops tasks, from linux system interaction to GitHub API calls and data manipulation.

Explore three-tier architecture and the mon stack, and learn containerization with docker and docker compose to run a front-end and back-end app using MongoDB, Express, React, and Node.

Learn how devops automation via azure devops streamlines the software development lifecycle, reducing release time through boards, repos, pipelines, tests and artifacts in a single platform.

Learn how to automate config updates with Python file operations, using open, read, and write, along with readlines, to modify server.conf and adjust maximum connections in a DevOps workflow.

Learn how to manage AWS Lambda IAM permissions to describe and delete EBS snapshots, volumes, and EC2 instances, implement least privilege policies, and use CloudWatch for scheduled execution.

Explore Python data types, focusing on strings and numeric types, and learn inbuilt string functions, with devops context on parsing aws arns and applying regular expressions.

Learn the essentials of shell scripting and command line navigation, including the man command, creating and editing files with touch and vim/vi, and writing scripts with a shebang in bash.

Learn to write dockerfiles for node.js, python, java, go apps, install dependencies, manage entry points, and use multistage builds and helm charts with values.yaml for deployment.

Learn how Boto3 automates AWS resource creation using Python scripting, compare it with AWS CLI, Terraform, and CloudFormation, and explore serverless Lambda patterns for DevOps cost optimization.

Compare virtual machines and containers, explain Docker images and the Dockerfile to container lifecycles, and why builders mitigate layering and single points of failure.

Learn to automate infrastructure with CLI and APIs, compare templates like CloudFormation, Azure Resource Manager, and OpenStack Heat, and embrace Terraform's universal approach using HashiCorp language.

Configure a virtual network with a firewall, subnets, and bastion access, deploy a private nginx web server, and learn port forwarding and access control.

Write a Python script that uses the requests module to call the GitHub API for pull requests, convert JSON to dictionaries, and print each contributor's login.

Learn how distributed tracing with Jaeger reveals latency across microservices, from middleware to service endpoints, and how OpenTelemetry standardizes traces, metrics, and logs for DevOps and developers.

Migrate GitHub CI pipelines to Azure pipelines, configure Linux agents, install Docker, and set up build and push stages for multiple microservices in a streamlined DevOps workflow.

Explore how webhooks trigger Jenkins pipelines for pull requests, run Maven builds, tests, and code analysis, then deploy Docker images via GitOps with Argo CD and Argo image updater.

Learn to configure IAM roles and permissions for AWS CodeBuild and CodePipeline, and securely manage credentials with AWS Systems Manager parameter store in a dockerized CI workflow.

Explore Terraform variables, including input and output variables, using var references, tf wax for values, and conditional operators, with examples of main.tf, variable.tf, and modular design.

Learn to read a list of folders from user input, list and print files in each folder with the os module, and handle missing folders with try/except.

Explore the catalog, cart, payments, shipping, and dispatch microservices, their independent deployment, and the use of MySQL, MongoDB, and Redis for data and ratings.

learn how Prometheus scrapes metrics from exporters, kubestate, and application endpoints, stores data in a time series database, and uses PromQL with Grafana for dashboards.

Enable secret store CSI driver in a single-node AKS cluster and integrate the Azure Key Vault provider to securely fetch secrets from external secret management solutions for pods.

Explore end-to-end ci/cd for microservices using Azure pipelines for ci and detox for cd, building docker images, scanning for vulnerabilities, and updating Kubernetes manifests.

Discover how Kubernetes orchestrates containers across multi-node clusters to solve docker's single-host limits. Explore replica sets, horizontal pod autoscaler, and ingress controllers enabling auto scaling, auto healing, and enterprise readiness.

Walk through building end-to-end ci/cd with GitOps for a Python Flask voting app, deploying containerized microservices to an Azure Kubernetes Service cluster with autoscaling and region considerations.

Explain why the efk stack, with Elasticsearch and Kibana, suffices for log collection, using fluentbit as a lightweight forwarder and logstash for optional advanced filtering, on Kubernetes.

Learn how Python dictionaries store properties as key-value pairs, compare them with lists, and build a list of dictionaries for multiple records like EC2 instances or GitHub pull requests.

Learn how to use an event-driven serverless model with Azure Functions to enforce blob storage security and lifecycle policies, reducing cost and maintenance via Python-driven automation.

Discover how Azure Resource Manager standardizes resource creation across portal, cli, bicep, sdk, and arm templates, enabling json-based templates to create resources.

Learn how Azure virtual networks isolate resources with VNet, subnets, and security rules using NSG and ASG, controlling internet access for web apps, business logic, and databases.

Explore how Kubernetes orchestrates containers with pods, deployments, and kubectl, enabling auto scaling and self-healing, using yaml-based configurations in a minikube environment.

Learn to assign values to variables in Python, and how keywords, data types, operators, and global versus local scope shape code, with descriptive naming in snake_case or camelCase.

Explore how authentication and authorization drive identity and access management in Azure, using users, groups, and roles, and cover resources like service principals and managed identities for secure cross-resource access.

Explore the what, why, and how of observability, covering metrics, logs, and traces, their role in troubleshooting, and how Prometheus and Grafana enable monitoring in Kubernetes environments.

Learn how to design secure Azure networking with VNets, subnets, firewalls, NSG, route tables, and load balancing using App Gateway and Azure Load Balancer, plus DNS and VNet peering.