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March Study Group Course: Linux Operating System Fundamentals – Have you heard of Linux, but don’t really know anything about it? Then this course is for you. Eschewing any technical practices, this course takes a high-level view of the history of Linux, the open-source movement, and how this powerful software is used today.
Last week was all about our container related courses, which you won’t want to miss, so make sure to go take a look at those previous announcements. This week, we’re diving into brand new DevOpscourses. Implementing an Auto Scaling Group and Application LoadBalancer in AWS. Red Hat Enterprise 8.
As I detailed in a previous blog post, I’m continuing to update the Linux Academy AWS DevOps Pro certification course. The course has three new sections (and Lambda Versioning and Aliases plays an important part in the Lambda section): Deployment Pipelines. As DevOps Engineers, we are required to wear several different hats.
On the heals of the still wet DevOps movement we are introduced to the new era of DevOps that reaches beyond pipeline automation and into the realm of pipeline evolution. High speed low latency networks now allow us to add these nodes anywhere in a cloud infrastructure and configure them under existing loadbalancers.
Working in technology, whether that be software development, DevOps, or system administration, you’ve undoubtedly heard of Kubernetes. Let’s expose our deployment behind a load-balancing service: $ kubectl expose deployment webserver-deployment --type=LoadBalancer --port=80 service/webserver-deployment exposed.
Its solutions are designed to support open environments, from modern cloud app development to database platforms and DevOps. It calculates the bill based on the number of Terraform-connected cloud environments, including loadbalancers, buckets, clusters, and instances. IBM is well-known for its affinity to open source.
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