Are you ready for a simpler, nimbler, more modular application architecture?
In this webinar, we’ll discuss a checklist for ensuring that your application is a fit for microservices and high level guide for implementation:
· Why (and should) we switch to microservices?
· How to map out your monolith into microservices on paper
· The role of Kubernetes in a microservices application
· How to implement Kubernetes on Google Cloud Platform
Our client, MadHive, will then share about how they use a microservices architecture on GCP. Using blockchain technology, machine learning models, and artificial intelligence agents deployed to users’ devices, MadHive has created a platform where the traditional ad tech intermediaries are unnecessary, and advertisers can target consumers more effectively without ever accessing their “personally identifiable information.”
The lesson will leave you with a roadmap for migration as well as a strong business case for doing so.
Date: Wednesday, March 14th
Time: 11am PT / 2pm ET
Simon Margolis, Director of Cloud Platform, SADA Systems
Matt Robinson, Partner Engineer, Google
Aaron Brown, Vice President Engineering, MadHive
SADA Systems, Inc. is a privately-held global leader in providing business and technology consulting services that transform organizations through innovative cloud-based solutions. As a Google Cloud Premier Partner, SADA Systems has proven expertise in enterprise consulting, cloud platform migration and deployment, custom application development, managed services, user adoption and change management. Named Global Partner of the Year for Google Maps for 2013, 2014 and 2015, as well as 2016 Americas Google Partner of the Year for GCP and Maps, SADA has a successful track record of delivering all Google Cloud solutions, including G Suite, Google Cloud Platform, Chrome, Google Enterprise Search, and Google Maps.
MadHive is the blockchain ad-tech firm that developed the MadNetwork protocol, for accurate, efficient, and completely private ad serving. Using blockchain technology, machine learning models, and artificial intelligence agents deployed to users’ devices, MadHive has created a platform where the traditional ad tech intermediaries are unnecessary, and advertisers can target consumers more effectively without ever accessing their “personally identifiable information.” As consumer privacy regulation mounts in key ad markets, MadNetwork’s technology marks a major step forward, allowing advertisers and publishers to reach their intended audience while simultaneously delivering complete privacy to the consumer.