Indy.Code() Sessions tagged architecture

AUTOMATE ALL THE THINGS!!! (FROM THE DATABASE PERSPECTIVE)

What do you do when you start with just 3 databases, 4 test envs, and a handful of developers, and now you have over 100 databases, 80+ environments, and 100+ developers? How do you keep up with all of that change? How do you keep everything in sync? Let's walk through what we tried, tested, and eventually went with. We have over 3000 databases across 80+ environments, keeping everything configured correctly, keeping the databases in sync, and designing it all to allow us to continue to grow has been an adventure.

Speaker

JP O'Donnell

JP O'Donnell

Lead Database Administrator, Cover My Meds

Microservices, Micronaut And Your Digital Future

The modernization of a sophisticated technology stack is a delicate balancing act that rests on understanding how any one change will affect the entire ecosystem. Business leaders who oversee mature technology stacks are particularly confounded by the demand to make changes quickly (and correctly) while simultaneously increasing the complexity of their applications. Microservices promise to alleviate this burden by decomposing complex applications into a set of manageable services that are much faster to develop and much easier to understand and maintain, but there are challenges associated with this type of application architecture. It is important to recognize the challenges and to understand how best to manage those challenges.

Speaker

Jeff Brown

Jeff Brown

Partner, Grails and Micronaut Practice Lead , Object Computing, Inc.

Internet of Things, Defogged

There is no doubt that IoT is gaining momentum. The vast network of connected devices today will grow to more than four devices per person on the planet by 2020. Many companies are lagging behind this trend, due to confusion over the plethora of terms, concepts, proprietary standards, protocols, and solutions for internet-connected things.

During “Internet of Things, Defogged” you will learn: * The Google Cloud Platform (GCP) reference architecture for a typical IoT solution * Specific GCP services mapped to business and system needs * Real-life case studies and modern deployment options * Efficient processing and storage of sensor data * GCP services including Cloud IoT Core, Pub/Sub, Dataflow, BigQuery, BigTable, Cloud MLE, and TensorFlow

Participants will learn about possible choices (and consequences) of making particular architecture decisions that affect power efficiency, reliability, cost, etc. Additionally, discuss present real-world case studies and address practical questions which often arise during IoT adoption by enterprises.

Attendees are encouraged to think of potential use cases and bring for discussion.

Speaker

Shaun Greene

Shaun Greene

Senior IoT Solutions Architect, SoftServe