17 June 2020
18 June 2020
19 June 2020
Staring 2019, we started to see “Serverless” taking center stage in all application architectures with enterprise integration and data streaming being no exception. With Kubernetes becoming the standard to run your application workloads in cloud, there isn’t’ one simple way to build highly scalable platform to integrate streaming data and enterprise applications without compromising enterprise compliance. In this session we will explore the four pillars Kubernetes,Knative,Kafka and Kamel to know how they help you build the much needed platform for enterprise integration and data streaming which can scale to infinity without comprising on your cloud resource costs.
Elasticsearch is the world's most popular open source search engine. Kubernetes (k8s) is the popular container orchestration engine giving developers the flexibility to run all sorts of workloads easily. Elastic launched the Elasticsearch k8s operator sometime ago. With this, one can not only run Elasticsearch on k8s but also can launch other Elastic Stack solutions like APM Server. Help run rolling upgrades, manage data etc.
Dapr (or Distributed Application Runtime) is a portable, event-driven runtime that makes it easy for developers to build resilient, microservice stateless and stateful applications that run on the cloud. This talk provides an overview of Dapr, how it works and enables distributed application development. Dapr simplies things by codifying development best practices into open, independent, building blocks that enable you to build portable applications with the language and framework of your choice. The talk also goes deeper into these components such as state stores, messaging, resource bindings etc. along with demos to see things “in action”.
What do you do when life throws you a curveball? How do you handle interview phone calls when you have lost the ability to hear? How do you deal with a client when you are unable to lip-read him? Laced with humour and real life experiences, this talk is about how Life is what YOU make it!
Join Dave Glover and learn about the pollution monitor solution he built and used during the Australian bush fires. You will learn about using Visual Studio to build a Python application on a Raspberry Pi, and how to create a free IoT Central application to chart the current pollution levels.
I'll talk about lessons learnt, key decisions & trade offs made while building cloudskew.com, an online editor for creating cloud architecture diagrams. Some topics I'll touch upon:
Are you bored of installing Virtual Machines(VM) every time, and waiting for the time to install one? Are you still doing all your Linux container management using an insecure, bloated daemon? In this era, we are using containers in the IT industry, there are many container tools present in the enterprise. I will be talking about the three daemon-less Linux Container tools i.e. Podman, Buildah, and Skepeo by Redhat.
The health of India is an initiative to fight against the pandemic COVID-19. This is an open-source project, where we collect health data from people living in different parts of the world. We are trying to sufficient and efficient nationwide self-assessed database of people who are showing symptoms of COVID19. This database can be used by developers and concerned authorities to establish some relationship between the geographical areas, climatic conditions, age and health condition of the people. Use cases of these data and still trying to figure out more - Help data scientists forecast the next outbreak - Channelize government sanitization efforts in places where sick patients are found. - Find symptomatic and infected patients near you - See real-time data of COVID-19 patients on the map.
Service Fabric is the foundational technology introduced by Microsoft Azure to empower the large-scale Azure service. In this session, you’ll get an overview of containers like Docker after an overview of Service Fabric, explain the difference between it and Kubernetes as a new way To Orchestrate Microservices. You’ll learn how to develop a Microservices application and how to deploy those services to Service Fabric clusters and the new serverless Service Fabric Mesh service. We’ll dive into the platform and programming model advantages including stateful services and actors for low-latency data processing and more. You will learn: Overview of containers Overview of Service Fabric Difference between Kubernetes and Service Fabric Setup Environment to start developing an application using Microservices with Service Fabric.
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