Wat we doen

We're Developers who are passionate about the Google Cloud Platform in Johannesburg

GDG Cloud Johannesburg Meetup

Welcome and thank you for visiting our Official Google Developer Group for Cloud Meetup in Johannesburg page.

At GDG Cloud Johannesburg Meetup we promote cloud technology awareness and knowledge sharing - we thrive on synaptic experiences to drive innovation. The aim of this group is to spark innovation, create incredible conversations and drive local businesses and individuals to think differently. Regular meetings are held to discuss amazing new and existing available cloud technologies which are available to individuals and businesses. Guest speakers are welcome to discuss their cloud technology experiences, successes and challenges.

Topics regularly discussed:

Machine Learning (ML) Artificial Intelligence (AI) Internet-of-Things (IoT) Big Data Analytics Platform-as-a-Service (PaaS) Infrastructure-as-a-Service (IaaS)

Join us at our next event, workshop, discussion or presentation in Johannesburg.

Disclaimer: Google Developer Group Cloud Johannesburg is an independent group; our activities and the opinions expressed here should in no way be linked to Google, the corporation. To learn more about the GDG program, visit https://developers.google.com/groups/

Geplande evenementen (2)

Google Cloud Platform Fundamentals: Core Infrastructure

This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies. Registration is required for this event so please click here - https://events.withgoogle.com/core-infr-430058/

Why should you consider Kubeflow if you are thinking machine learning?

Join us at our next GDG Event at the Google Offices in JHB where we will cover all things Kubflow, we will outline how Kubeflow addresses some of the pain points in a data scientist’s life. We will focus on what Kubeflow is, how it can be incorporated into your existing workflow and how Kubeflow enables collaboration within your data team. We will also demo a simple Kubeflow pipeline that can be used in a typical data science workflow. Free pizza and drinks will be available Please see below some information om our speakers and the topics they will cover. Aneesh Chandran: I am a software engineer working at standard bank. I am an AI enthusiast and have a passion for Robotics and AI. I am currently aspiring to be a machine learning engineer and am currently involved with the Deep Learning Indaba X community in south africa. Topic: Why should you consider Kubeflow if you are thinking machine learning? Kubeflow is built by a community of data scientists and data engineers to address the pain points of productising machine learning solutions. In this talk, we will outline how Kubeflow addresses some of the pain points in a data scientist’s life. We will focus on what Kubeflow is, how it can be incorporated into your existing workflow and how Kubeflow enables collaboration within your data team. We will also demo a simple Kubeflow pipeline that can be used in a typical data science workflow. Which will hopefully inspire developers to further use Kubeflow or at least get the organisation to consider Kubeflow in their architecture. A brief overview of the different open source software used within Kubeflow will also be discussed. This talk is geared towards data scientists, machine learning engineers, data engineers and anyone who is a data science enthusiast. Harry Lee: Is a DevOps engineer and evangelist with a strong background in the financial technology sector. His mission is to continuously deliver business value by ensuring high availability and scalability of the business services. His expertise is in designing and implementing cloud-native solutions, propagating the DevOps culture and providing DevOps training across the organisation. Topic: Build with the end in mind: infrastructure-backed data science with Kubeflow As data scientists, we usually prototype use cases and try to find the one that can generate business value with the data on hand. We jump straight to work and at the end of the PoC accidentally wow-ed the stakeholders so much that they want the solution in production tomorrow. We scramble around our Jupyter notebooks and scripts to put together a pipeline that we think is reliable, the infrastructure guy then turns around and says "I can't use any of this". At Melio, we develop with deployment in mind with Kubeflow. From the beginning, infrastructure sits with data science to gather the requirements for production. We set up the Kubeflow pipeline to allow our experiments to run exactly as how it will be run in production. From the data scientist's perspective, it's the same as writing notebooks; from the infrastructure, it's the same as setting up Kubernetes. In this talk, we will be presenting our data science workflow with Kubeflow both from the operation's and data scientist's standpoints. We will also demonstrate how we have incorporated Kubeflow into our profile image analyser pipeline.

Vorige evenementen (32)

TensorFlow Roadshow Johannesburg 2019

The Capital On The Park