This is a 36-hour course delivered over 6 weeks.
Developing a squad of cross-functional DevOps practitioners can be extremely challenging – especially to meet the ever increasing demand of quality at speed & to shift testing to the left to make deployments faster, better and smarter. One tool may not be sufficient for our testing needs – we may have to select a range of toolsets to automate the functional and non-functional elements (performance & security) & orchestrate the solutions in the build pipeline. This will ensure early detection of bugs & foster a culture of collaboration as well. Production deployment can be reduced to mere non-events by deploying values in smaller chunks but continuously. Targeted test automation can also assist in Post production monitoring. We’ll create an environment of failing fast & delivering quality customer outcome.
Intro to DevOps
Logs and Monitoring
Continuous Integration and Delivery
Resilient Apps and Load Balancing
Send 5 team members and the 6th attends free!
Contact firstname.lastname@example.org for batch enrolments of multiple team members.
Upskill engineers to tackle technology projects at the enterprise level.
Optimize your delivery pipeline by leveraging modern DevOps workflows.
Avoid downtime by having the right talent in place to log and monitor production environments. By the end of this course, participants should be able to:
Prepare an application for deployment across multiple environments using containers
Apply automated testing principles to applications and integrate tests into a CI/CD pipeline
Create and modify a CI/CD pipeline using Jenkins
Adopt logging and monitoring technologies using the ELK stack
Understand and adopt the skills necessary to optimize your delivery pipeline
In order to be admitted, students should meet the following pre-requisites:
Some experience with Linux
Have a solid understanding of a programming language and framework
DevOps experience is NOT required
Greg Baker runs a consulting company specialising in natural language processing problems with clients ranging from startups to large enterprises. In the past he has built a startup to achieve a successful exit, was the CTO for Daisee and has worked with Google, Atlassian and CSIRO (where he nearly prevented WiFi from being invented).
Despite working on a PhD at Macquarie University, he takes a practical, hands-on approach to teaching Data Science at General Assembly and takes pride in making the complex simple for his students.
He is the author of several books and film scores, and wrote some of the terms of the USA - Australian free trade agreement.
In recognition of his exemplary service in the classroom, Greg has been selected as a member of General Assembly's Distinguished Faculty program.
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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