
Explore the dev ops fundamentals, course overview, six modules from basics to release, KPI monitoring, and instructor guidance with practical demonstrations.
Review the pre requirements and participate fully by examining content and using additional resources to accelerate dev ops learning with demos and whiteboards, then proceed to module two.
Explore dev ops fundamentals, building blocks, and best practices. Understand why containers matter in dev ops and development, and gain an overview of pipelines such as S.I and CWD, with a whiteboard walkthrough.
Demonstrate how DevOps unites development and operations through blameless collaboration, change management, and automated pipelines for continuous integration, delivery, and deployment that improve customer outcomes.
Automate DevOps processes to reduce manual errors and accelerate deployments, boosting collaboration, faster time to market, ROI, and customer satisfaction through open APIs, cloud-native, microservices approach.
Adopt a shift-left approach, testing early to catch security flaws and validate user capabilities. Emphasize automation, documentation, key metrics, and stakeholder feedback in a remote, accountable DevOps culture.
Explore pipelines as an assembly-line workflow uniting development and operations, with stages develop, build, test, and deploy to speed and ease development while preempting security challenges.
Explore continuous integration pipelines, building main line copies through build, test, release, and deploy stages, with feedback loops, security checks, and GitHub and Google Cloud demos.
Explore continuous delivery pipelines to automate building, testing, and releasing code into production, reducing risk and costs while increasing speed and quality.
Explore the differences between continuous integration, delivery, and deployment, focusing on automating code release through the production pipeline with tools like cloud build and canary testing.
Explore the differences between continuous integration, continuous delivery, and continuous deployment within pipelines, showing automatic build and test flows, staging to production, and how manual approval distinguishes delivery from deployment.
Explore the foundations of dev ops, the CIA strategy, and why it matters, then examine source code management, working copies, and builds.
Learn how a ci/cd strategy uses branching, triggers, and pipelines to automate build, test, and code review, with metrics, monitoring, and Jenkins integration for faster, reliable delivery.
Discover how source code management and version control keep multi-developer projects organized using distributed tools like Git and GitHub, guiding code changes through builds, scans, and releases.
Explore build management from source code to deployment using GitHub, Jenkins, and Spinnaker with webhooks. See how artifacts are built and deployed to an Amazon machine image with manual approval.
Explore release management through demos, focusing on releases and Jenkins and infrastructure as code. See how dev ops tools unite the dev ops world as you begin the first lesson.
Master release management within a DevOps pipeline by aligning version control, configuration management, automation, testing, and deployment for faster, more predictable software delivery with strong auditing.
Learn site reliability engineering with shared ownership between development and the S3 team, and how SLIs, SLOs, MTBF, and SLAs guide reliability and collaboration with Asseri.
Translate stakeholder needs into actionable user stories and map prioritized workflows for continuous integration and deployment, leveraging tools like Git, GitHub repositories, Docker containers, and Lucidchart diagrams.
Leverage infrastructure as code to template and deploy infrastructure at scale, reducing manual errors. Use configuration files and templates to declare apps, storage, and networking, enabling ci/cd and automated testing.
Automate provisioning, testing, and development to remove waste and overwork, using IT automation, business automation, robotic processes, machine learning, and deep learning with available tools and scripts.
Explore infrastructure as code with template-based deployment, using a designer tool to build and deploy resources like a lamp stack WordPress site, with templates, stacks, and change sets.
Deploy Jenkins on Google Cloud Marketplace, choosing container or virtual machine deployments, log in with generated admin credentials, and configure pipelines and GitHub integration.
Create a GitHub repository, add files, and commit changes for easy collaboration today. Connect GitHub to Google Cloud Platform via Cloud Source Repositories to host code privately and enable collaboration.
Explore module five by focusing on key performance indicators, metrics, and monitoring tools. The lecture includes a demo of Cloud Watch and introduces the Adewusi tool.
Identify and apply KPI metrics to benchmark progress in DevOps. Track lead time, change volume, failure rate, deployment frequency, downtime, cycle time, and detection time to guide improvements.
Learn to use KPI tools to gain deep insights into key performance indicators with customizable dashboards, widgets, and relationships between KPIs, integrating with tools like Google Analytics and Salesforce.
Monitor and manage the environment to derive KPI insights from deployments, containers, pods, and VMs, using tools like Cloud Watch, Stackdriver, and Splunk.
Open the AWS management console to explore CloudWatch, a native monitoring tool, and create dashboards to monitor VMs, containers, storage, and databases, tracking uptime and other KPIs.
Review the course’s high-level points to reinforce learning, explore additional dev ops resources and tools, and examine job roles with LinkedIn, Glassdoor, and Jenkins.
Explore how DevOps cultures, agile collaboration, and automation bridge development and operations. Embrace shift-left testing, ci/cd pipelines, containers and Docker, microservices, infrastructure as code, and KPI-driven outcomes.
Explore additional resources on dev ops, cloud providers, and containers, including free courses, blogs, GitHub, and the periodic table of dev ops tools to build your workflow.
Explore the dev ops job outlook, common roles, and typical requirements, then review remote, worldwide opportunities and salary ranges for dev ops engineers, cloud architects, and related roles.
I close this course by thanking you for joining. I wish you career success and good health, and invite you to connect on LinkedIn, YouTube, or tech commanders dot com.
Looking to learn more about DevOps and what DevOps is all about? Want to become a highly paid DevOps Pro? Take this course to get started!
DevOps is a focus area that is becoming extremely critical to know as an IT Professional.
The course will cover in details topics such as Continuous Integration and Deployment as well as Release Management, Infrastructure as Code and Key Performance Indicators(KPI).
We also will cover the major services as they relate to deploying a CI Pipeline or a CD Pipeline. We will also review Kubenetes and cloud-based capabilities.
There will be numerous demos and whiteboard covering topics throughout the course.
Currently, the average base pay for a DevOps engineer is USD115,666, and salaries range from USD91,000 at the low end to $155,000 at the high end, according to Glassdoor's Know Your Worth salary calculator. Learning DevOps could really boost your career and earnings.
What you can expect from Intro to DevOps Course?
1. Condensed content focused on getting you knowledgeable in DevOps
2. Focus on understanding best practices .
3. Over Thirty lectures covering DevOps
4 Numerous links to reference material you need to study
5. Contact info to ask any questions.
What are the course prerequisites?
Course was developed for existing IT professionals.
Who would be the target audience?
The target audience is anyone who is an IT professional wanting to learn about DevOps and its best practices, tools and capabilities.
· Existing Solution Architects and Cloud Developers
· Existing Cloud Managers and Administrators
· Programmers Interested in Deploying Applications on GCP
· People interested in hosting highly scalable, fault tolerant applications
Included Resources
- Downloadable Course Presentation
- Downloadable Infographic