Maturing with Kubernetes on Azure Kubernetes Service

In this webinar we will discuss:

Where your business is in COVID-19 preventing
The tools and measures businesses early adopted to continue working in the COVID-19 pandemic. Which ones are OK & what is wrong with them?
The authorities’ guidelines and requirements during COVID-19
Three ways to guarantee and declare real safety for clients while minimizing business risks

Free Webinar in Partnership with Microsoft
In this webinar we will discuss:
- The profile of an organization that is Expert at Kubernetes on Azure and AKS
- How to get to Expert status
- The challenges along the way and how embracing Azure services can help
- A demo of deploying applications with velocity on AKS

We discussed the Altoros-developed Platform Maturity Model. It derives from years of designing solutions for Fortune 500/Global 2000 customers and includes topics such as:

-platform design,
-operations,
-security,
-consumption

The model provides a holistic approach to platform maturity and is designed to help customers understand where they are currently at, while also providing a roadmap for improvement.

In this webinar we will discuss a crawl, walk, run approach to continuous delivery (CD) for applications, point by point:

- Where to start, how to advance, and how to reach the level of maximum automation.
- How to orchestrate CI/CD processes along with routing and business continuity.
- When the automation level is sufficient.
- GitOps principles and their benefits.
- What tools should be used to automate CI, CD, GitOps, Container Registry, Secrets management, etc

As a result, you’ll get insight on best practices and an expert plan for automated application deployments.

This is the 1st webinar in our series, “Journey Through Four Stages of Kubernetes Maturity”, covering 25+ topics of the Altoros-developed Platform Maturity Model.

Here’s what we’ll talk about in our next webinars:

- Continuous Integration (CI)
- Kubernetes-based platforms security
- Strategies for keeping Kubernetes-based platforms up-to-date
- Kubernetes-based platform monitoring

This is a replay of the previous webinar on the blurring line between Cloud Foundry, Diego and Docker. We had some technical issues with the livecast, but here is a replay with proper audio and slides. Thank you for joining us again!

Here is the full agenda:

Part 1: Cloud Foundry vs Docker vs Diego

– Containers vs Cloud Foundry PaaS
– Docker vs Cloud Foundry Diego
– Docker vs Cloud Foundry
– Cloud Foundry Diego vs Fig vs Docker Swarm

Part 2: Who is using containers in production?

– The dark side of AWS when it comes to Cloud Foundry.
– Examples of Cloud Foundry clusters in AWS, OpenStack & vCloud.
– Cloud Foundry Case Studies in Fortune 500 (1 x Technology, 1 x Pharma, 1x Financial Services).

Part 3: Driving adoption of Cloud Foundry in a large organization

– What not to expect from CF.
– Anatomy of 5 stages of Cloud Foundry adoption in a large organization.
– Developer pushback!? What works vs doesn’t.

Part 4: Operating Cloud Foundry

– How much resources and $ does it take to operate your own CF?
– Ops team sizing.
– Cluster sizing.
– Metrics to measure success of Cloud Foundry program

Part 5: Cloud Foundry Diego – demo of clustered Diego + Docker

At this webinar, attendees will learn of the largest production Cloud Foundry clusters in the world that I was lucky to work with. You will find out the blurring line between Cloud Foundry v3 vs. Docker vs. Diego. We will discuss who is using containers in production and how to drive adoption of Cloud Foundry in a large organization. I will also highlight the metrics to measure success of Cloud Foundry program .
See the full agenda:

Part 1: Cloud Foundry vs Docker vs Diego

– Containers vs Cloud Foundry PaaS
– Docker vs Cloud Foundry Diego
– Docker vs Cloud Foundry
– Cloud Foundry Diego vs Fig vs Docker Swarm

Part 2: Who is using containers in production?

– The dark side of AWS when it comes to Cloud Foundry.
– Examples of Cloud Foundry clusters in AWS, OpenStack & vCloud.
– Cloud Foundry Case Studies in Fortune 500 (1 x Technology, 1 x Pharma, 1x Financial Services).

Part 3: Driving adoption of Cloud Foundry in a large organization

– What not to expect from CF.
– Anatomy of 5 stages of Cloud Foundry adoption in a large organization.
– Developer pushback!? What works vs doesn’t.

Part 4: Operating Cloud Foundry

– How much resources and $ does it take to operate your own CF?
– Ops team sizing.
– Cluster sizing.
– Metrics to measure success of Cloud Foundry program

Part 5: Cloud Foundry Diego – demo of clustered Diego + Docker

In this workshop I will share experience derived from bringing several “software factories” into large organizations through deployment and integration of solutions offered by the Cloud Foundry ecosystem. Expect to get answers from each of the seven categories of questions asked by our customers who are evaluating or implementing Cloud Foundry:

- Adoption. Can you show me examples of real-world deployments at large (5k+ employees) organizations?
- Money. Do you have business cases on Cloud Foundry that make ROI hard to argue?
- Deployment. Can you show me a deployment topology for a typical production cluster? What do Cloud Foundry clusters running on AWS and OpenStack look like? How do you size the cluster?
- Mechanics. What is going on "under the hood" in a Cloud Foundry cluster?
- Administration. Can you show the admin tools you use? What are the responsibilities of an operator?
- Apps & developer adoption. What are the seven characteristics of applications that run on Cloud Foundry without modifications?
- Experience. What did you learn from operating several clusters in production?