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Kubernetes is quickly becoming the de facto deployment platform for container runtimes. New applications can be written with containers in mind, but existing applications are not always aligned to the new best practices.
In this talk we will present how an existing application can be deployed on a Kubernetes platform, exploring various patterns such as scaling out, centralised logging and monitoring, content distribution and persistence.
After this talk participants will gain a better understanding about how existing applications can be molded into a cloud-native ones with reasonable effort.
This talk is about tools and mechanism we developed and used to improve productivity and teamwork in our team (of 6 currently) while developing 70+ operators for Airflow over more than 6 months.
We developed an "Airflow Breeze" simplified development environment which cuts down the time to become productive Apache Airflow developer from days to minutes.
It is part of Airflow Improvement Proposals:
- AIP-10 Multi-layered and multi-stage official Airflow image
- AIP-7 Simplified development workflow
Soon it is going to be default development environment for all Airflow developers hopefully.
I started off my life as a developer writing machine code and C and working on some low-level hardware projects. Then this thing called the internet came along and I moved into the web application space for a couple of decades. More recently I've moved back into commercial IoT development, and not unexpectedly a lot has changed over that time.
In this talk, I'll cover what it's like developing IoT projects. I'll go over the tools you need and the protocols you need to be familiar with. I'll look at how the C language has evolved to what it is today and how to write code that works well on memory constrained devices. I'll go over producing prototypes, rapid development, debugging and testing embedded applications and what and how much electronics you should learn.
Industrial IoT platforms are undergoing rapid shift away from vertically integrated systems built mostly out of embedded software towards an Edge Virtualization Platforms and commodity, cloud native software. While the cloud, big-data, fast-data, machine-learning has been a huge thing in the IT industry for the last years, the production industry was stuck in a proprietary world, dominated by some of the big players. Two open source projects now offer the building blocks for the new platform that can hope to break that proprietary chokehold. Linux Foundation's Project EVE (Edge Virtualization Engine) aims to develop an open and standardized edge container runtime platform capable of orchestrating cloud-native applications across the enterprise, on-premises edge and IoT deployments. It does so by leveraging hardware-assisted virtualization and provides software defined networking and I/O virtualization capabilities to the end user applications running on it.
We use EVE as a runtime for the new Apache PLC4X project that in turn provides a unified API for communicating with industrial controllers via a wide variety of protocols. Besides providing the APIs and driver implementations, PLC4X also provides integration modules to other Apache frameworks such as Apache Edgent, Apache Camel and Apache Kafka that are also supported by the unified EVE IoT edge container runtime. This makes it really easy to integrate industrial controllers into our Open-Source world. Self-optimizing production processes, predictive maintenance, industrial control systems running in the companies cloud. This was all almost impossible until now. With Apache PLC4X and LF Edge EVE it will be easy.
Join us for:
- a screening of “FUD - Fear Uncertainty Doubt”, the Wyona Pictures film on the rise of the Open Source/Free Software Movement; and
- a preview of the documentary on The Apache Software Foundation that will be filmed during ApacheCon Las Vegas and Berlin
Meet the filmmakers, grab some popcorn and refreshments, and enjoy the show!
To support this project, visit https://s.apache.org/trillions