Advanced Kubernetes
Building out a multi-cloud Kubernetes architecture is a great way to achieve independence from one vendor, assign workloads to clouds with cheaper resources, and achieve a higher SLA for your workloads. There isn't a Cloud Provider which doesn't have outages, technical issues and resource limitations. By deploying a multi-cloud solution you can mitigate these risks and provide a rock solid compute platform for your business needs.
This course is a comprehensive experience designed to teach you how to create, manage, and maintain highly available Kubernetes clusters and applications using managed Kubernetes services such as Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Service (AKS). Throughout this course, you will explore the core components and best practices for ensuring high availability within the context of multi-AZ, multi-region, and multi-cloud strategies.
We taught over 5000 learners from these companies:
Course taught by expert instructors
Adam Robertson
DevOps and Cloud Architect
Adam is a DevOps veteran who started his journey in the late 2000's when the idea of combining Development and Operations was still in its infancy. In the time since he has led numerous companies on their DevOps journeys, whether it be a fresh startup to well established company. The Devops organizations Adam has led have all benefited from faster, higher quality product delivery; greater scalability and stability as well as decreased software delivery times with automation and observability. A strong believer in mentorship and paying it forward, Adam has also had numerous thought leadership events such as keynote panel appearances, DevOps radio spotlights, technical talks as well as mentoring and coaching.
A course you'll actually complete. AI-powered learning that drives results.
AI-powered learning
Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.
Live courses by leading experts
Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.
Practice on the cutting edge
Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.
Flexible schedule for busy professionals
We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.
Completion certificates
Each course comes with a certificate for learners to add to their resume.
Best-in-class outcomes
15-20x engagement compared to async courses
Support & accountability
You are never alone, we provide support throughout the course.
The course
Learn and apply skills with real-world projects.
Anyone interested in working on cloud-native applications
Any engineers with basic Kubernetes knowledge seeking to take their skills to the next level
Basic knowledge of Docker and working with containers
Basic knowledge of Kubernetes deployments and monitoring
- Learn
- Understand Kubernetes architecture and the importance of high availability.
- Learn about managed Kubernetes services: Amazon EKS, Google GKE, and Azure AKS.
- Understand cloud architecture terms like availability zones, regions and cloud providers
- Map the cloud concepts to Kubernetes architecture
Project- Set up a managed Kubernetes cluster using one of the services: EKS, GKE, or AKS.
- Deploy a sample application to the cluster.
- Learn
- Review of Kubernetes Networking and Service Mesh
- Advanced Networking in Kubernetes (CNI plugins, External Load Balancers, Network Security)
- Service Mesh in Multi-Cloud Deployments
- Flow of data or an API call in multi-cloud
- Learn about load balancing with Ingress controllers and Service resources within EKS, GKE, and AKS across AZs, regions, and clouds.
Project- Implement an Ingress controller in their managed Kubernetes cluster across multiple AZs and regions.
- Configure an external load balancer to distribute traffic within their chosen service across multiple AZs and regions.
- Learn
- Understand worker node high availability concepts, including auto-scaling groups and rolling updates
- Horizontal & Vertical pod autoscaling
- Application self-healing, stateful applications, and persistent storage
- Overview of Kubernetes Monitoring and Observability
Project- Implement an Ingress controller in their managed Kubernetes cluster across multiple AZs and regions.
- Set up horizontal pod autoscaling and rolling updates for a sample application.
- Learn
- Overview of Multi-Cloud Deployment and Hybrid Cloud Strategies
- Multi-Cloud Deployment with Kubernetes (Cross-Cluster Federation, Multi-Cluster Management)
- Hybrid Cloud Strategies with Kubernetes
- Advanced Monitoring Kubernetes Clusters (Distributed Tracing, Metrics, Logs)
Project- Setting up a Monitoring and Observability Stack for a Multi-Cloud Kubernetes Cluster
This was by far the best training course I have attended. The way it was structured and the support available from the instructor and TAs really made the learning valuable and lasting. I am looking forward to other courses in the near future!
Shoutout to the course team for helping me (and others) keep pushing along to make sure we get through the finish line, even when things are hard. I can't tell you how much I appreciate the accountability and extra help!
I love it - just enough content and guidance that can be covered between work, kids, and life but still learn and be challenged
Completing this course has given me the foundation and confidence needed to make the full jump from Finance to Analytics Engineering. I've always felt like I needed a "credential" to make the full leap. Having gone through the course and learning with this community has made me feel like less of an "imposter" and like I have the skills/knowledge to do this as my profession (or at least know where to go to find the answers!). Really appreciative of the entire staff, TAs, cohort, pod, etc.
Thanks for the awesome course! Really helped me to improve my skillset.
This course has been an amazing learning experience - no only because of the content of the course but also the way in which is taught! It has the perfect mix of online - individual work - community time and resources. The teaching materials are very high quality and the whole team are super attentive and responsive.
It's a great way to learn hands-on experience with dbt, get exposed to real life problems, industry experts and also networking! I highly recommend it!
I would recommend this to anyone looking to get their feet wet in dbt that needs a structured course and accountability to learn a new tool/skill
Absolutely stoked to share this! Over the last month I had the pleasure of learning from some of the great minds coming out of Facebook, Google, and other enterprises doing bleeding edge work in Machine Learning and Natural Language Processing. Being part of a select cohort spanning three continents I was able to hear about initiatives and research from AI/ML professionals around the globe. NLP is a fast emerging sector that is changing the landscape of software everywhere you look. I'm so honored to be part of this experience and am taking away so many great connections and insights in a field that I really love.
I’ve taken lots of online courses before. The track was a much better experience than any of the other courses.
The Uplimit NLP course has been the most efficient way I've ever learned new skills. Having access to talented instructors and peers made the learning process both quicker and richer.
I got to learn and directly interact with world class practitioners of NLP which no other course in the market offers.
I really enjoyed the course and the community around it. I think it was a great way to not only learn about NLP, but also connect with other engineers in the field.
