Hands-On with Google Cloud: Load Balancing & Core Infrastructure

GDG on Campus Jomo Kenyatta University of Agriculture and Technology - Juja, Kenya

Join us for an interactive and engaging Google Cloud Study Jam designed to deepen your understanding of cloud technologi...

Oct 30, 3:00 – 4:00 PM (UTC)

5 RSVP'd

Key Themes

CloudCloud Study Jam

About this event

Join us for an interactive and engaging Google Cloud Study Jam designed to deepen your understanding of cloud technologies. In this session, we’ll focus on two key areas: how to implement Cloud Load Balancing on Compute Engine and the fundamentals of Google Cloud. Get ready to dive into the world of Google Cloud as we guide you through the process of creating and deploying virtual machines, setting up both network and application load balancers. We'll also cover essential Google Cloud concepts such as compute and storage services, IAM (Identity and Access Management), and resource management hierarchy. This event is a fantastic opportunity for students and cloud enthusiasts to gain practical experience and enhance their skills in a supportive environment. No prior experience with Google Cloud is necessary, as our mentors will be there to assist you every step of the way. Secure your spot now! Register today to kickstart your journey in mastering Google Cloud technologies. Don't miss out on this unique learning opportunity at GDG on Campus JKUAT!

Organizers

  • Christine Oyiera

    GDG on Campus JKUAT Organizer

  • Paul Mwangi

    Co-Organizer

  • Joan Kinoti

    AI/ML Track Lead

  • Peaches Njenga

    JKUAT

    UI/UX Lead

  • Phil Karema

    Devops track Lead

  • RHODAH MULERA

    PR Lead

  • Eva Muthoni

    JKUAT

    Cybersecurity Lead

  • Geoffrey Owuor

    Web Development Lead

  • Wells Stanley

    Mobile Development Lead

  • Anilla Wambaki

    IOT Track Lead

  • ivy Atieng

    Data Science Track Lead

  • Zawadi Mukuru

    GDG Karen AI/ML Track Lead

  • Favour Nyambura

    Blockchain Track Lead

  • Jude Hunja

    Cloud Computing Track Lead