For this week’s tech recap, we look at: DevOps Adoption, Kubernetes and Cloud, The Environment and DevOps, Career opportunities in DevOps Engineering.
The forces driving DevOps adoption include enterprise investments in software-driven innovation, adoption of microservices-based architectures and associated development methodologies, and increased investment by CTOs and CEOs in collaborative and automated application development and operational processes.
In this week’s recap, we take a look at DevOps, Kubernetes and Cloud, The Environment and DevOps and Career opportunities in DevOps Engineering.
DevOps: The Inevitability of Multi-Cloud-Native Apps
Consistently delivering rapid software iteration across a global footprint forces DevOps organizations to grapple with an entirely new set of technical challenges: Leveraging containerized applications and microservices architectures in production across multiple Kubernetes clusters running in multiple geographies.
Customers want an on-demand experience. This third phase is what we call multi-cloud-native, and it was pioneered by hyperscale IaaS players like Google, AWS, Azure and Tencent.
Take a look at this interesting piece about how organizations can take a journey to becoming multi-cloud-native through devOps.
How to do DevOps without increasing your carbon footprint
DevOps is about continuously compiling, producing, and deploying artifacts, but there’s little thought given to the practice’s impact on your operation’s carbon footprint—especially as you scale.
In a traditional coding environment, changes took anywhere from three months to a year to be implemented.
In the DevOps model, a coder looks up the code and corrects the error, and a half-hour later it is in production. Some organizations claim to release changes into production every five minutes. But what’s the impact of those processes on your organization’s carbon footprint?
Career Growth Opportunity: Senior DevOps Engineer
We are seeking a highly motivated Sr. DevOps Engineer to join the Enterprise Data Services. Working very closely with Data Science, Software Developers, QA, and Product/Project Managers you will play an active role in designing, building, and deploying a large-scale machine learning platform to support aerospace use cases.
We are looking for solid DevOps engineers who have some experience with distributed compute and large-scale data frameworks.
Does this sound like your ideal career growth goal?
A call for Senior DevSecOps Engineers:
The DevSecOps team is building a toolchain and pipeline for broad use. The intent is to provide DevSecOps as a service, following industry best practices to meet the needs of the Aerospace and Defense teams and to move these teams forward with better, more consistent agile behaviors.
We need talented individuals to build, harden, and shape this offering.
For more information and required skills, check out our jobs board.