Quick recap, 

Last article I talked about the study I did among Red Hat customers that makes the jump towards deploying their workloads on hybrid and multi-cloud environments.  These articles are abstractions of the common generic components summarized according to the actual implementations. 

To overcome the common obstacles of going hybrid and multi-cloud, such as finding talents with multi-cloud knowledge. Secure and protect across low trust networks or just day to day operation across the board.
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Hybrid multi cloud can be a difficult, this is my study of a real customer use case on their journey using GitOps, multi cluster management system and securing dynamic infrastructure secrets.   

Quick recap, 

Last article I talked about the study I did among Red Hat customers that makes the jump towards deploying their workloads on hybrid and multi-cloud environments.  These articles are abstractions of the common generic components summarized according to the actual implementations.

Hybrid multi cloud can be a difficult, this is my study of a real customer use case on their journey using GitOps, multi cluster management system and securing dynamic infrastructure secrets.

Quick recap, 

In my series of articles I went over the study I did among Red Hat customers that makes the jump towards deploying their workloads on hybrid and multi-cloud environments. These articles are abstractions of the common generic components summarized according to the actual implementations.

Hybrid multi cloud can be a difficult, this is my study of a real customer use case on their journey using GitOps, multi cluster management system and securing dynamic infrastructure secrets.   

The Intro, 

More companies are strategizing to be on Hybrid cloud or even Multi-cloud,  for higher flexibility, resiliency and sometimes, simply it’s too risky to put the egg in the same basket. This is a study based on real solutions using Red Hat’s open source technology.
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Recently I had an opportunity to work with Sanket Taur (IBM UK) and his team on a demo, showcasing how Red Hat products can help speed up innovation with SAP Landscapes. To be honest I was shocked at how little time we were given to create the entire demo from scratch. It’s less than a week. While still doing our day job, having a couple of hours per day to work on it. If this doesn’t convince you..

You want Kafka to stream and process the data. But what comes after you set up the platform, planned the partitioning strategy, storage options, and configured the data durability? Yes! How to stream data in and out of the platform. And this is exactly what I want to discuss today.
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Getting Started with Apache Camel ? This post is for you. But I am not going to dive into how to write the Camel route, there are plenty of materials out there that do a better job than me. A good place to get started is the one and only Camel Blog, it gives you all the latest and greatest news from the community. If you want to start from the basics, I highly recommend Camel in Action II Book. It has everything you need to know about writing Camel.
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Introduction: 

Contract first application development is not limited to synchronized RESTFul API calls. With the adoption of event driven architecture, more developers are demanding a way to set up contracts between these asynchronous event publishers and consumers.. Sharing what data format that each subscriber is consuming, what data format is used from the event publisher, in a way OpenAPI standards is going to be very helpful.
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Serverless should not be optional, but instead it should be there for all cloud native environments. Of course not all applications should adopt serverless. But if you look closer, the majority of the modules in the application are stateless, often stash away in the corner, that are needed occasionally. Some need to to handle loads that are highly fluctuated. These are the perfect candidates to run as serverless.
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Camel K, a project under the famous Apache Camel project. This project totally change the way developers work with Kubernetes/OpenShift cloud platforms. By automating the nasty configuration and loads of prep work from developers. 

If you are an old time developer like me. I did my best slowly trying to adapt the latest and greatest cloud native “ecology”. It’s not difficult, but with small things and traps here and there. I’ll tell yel’ it's not a smooth ride.
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