This presentation will cover how we force controls on an application over a hybrid cloud infrastructure built from a combination of different clouds that could include private and public clouds. For instance, you could deploy your microservice in AWS but use BigTable as your data store.
Every cloud or on-premise infrastructure provider provides monitoring, alerting, metering, audit trail etc. In a hybrid cloud use case, the IT team needs a single view of the usage across the cloud providers. Such a platform needs to combine the data sourcing of these utilities from different infrastructure providers, parse them into a common format and build an integrated data sink. Adding to it the challenge of each data source evolving its data formats, volume, velocity, throughput, latency etc. You have a challenging task to understand data from varied sources and present it in one view.

We will present an architecture that has been battle-tested in production for over five years. The components include Pulsar, Flink, PostgreSQL, Redis, Neo4J DB, rule/ML engine etc., to name a few technologies.

After this presentation, you will learn more about
1. Combining infrastructure from multiple clouds and on-premise providers to build your application.
2. Appreciate the need for lambda architecture.
3. How to stream ever-evolving multi-schema data using pulsar
4. How to write custom rules over a stream analytics framework to make your application.