The shiny new and the old and trusted - databases in the cloud era

Hello Circus Freaks,

Our next event will focus on databases in the cloud-age. These days we getting really good at leveraging elastic infrastructure for our application code. This leads to more demand on databases to scale well, be easy to set up and basically be consumed as a service inside the organisation. Our speakers will talk of running a trusted old friend like Postgres in massive global deployments and of a new contender called FaunaDB which aims to be the database for the serverless age.

Chris Anderson - Building a Serverless Distributed Ledger with FaunaDB

As the blockchain hype passes, one standout use-case with lasting interest is the distributed ledger. A distributed ledger allows participants at different sites to maintain shared transaction logs. Enterprises are exploring non-blockchain implementations of distributed ledgers, while at the same time embracing the serverless paradigm. In this talk we’ll explore a ledger implementation using the Serverless Framework, AWS Lambda, and FaunaDB. Then we’ll describe how to deploy the ledger application across a consortium of market participants, achieving the collaboration, auditing, and security results needed for a distributed ledger, all without the typical downsides of the blockchain. Finally we’ll point you to in-depth resources to learn more about how companies are using globally consistent databases to build scalable distributed applications without the blockchain.

Feike Steenbergen - Building a Unicorn on an Elephant

Adyen itself does not use public cloud providers for its infrastructure, but we use multiple datacenters on mosts continents to handle our workload. In many parts of our infrastructure we use PostgreSQL, from the smaller throwaway instances processing your payments synchronously to the bigger backend services. Our growth requires us to always keep looking for better efficiency: This means buy the best hardware, be involved with new features/bugfixes for PostgreSQL, but also partitioning our workload into streams which themselves can be consumed by backend databases, monthly reports, etc.

Yegor Andreenko - ClickHouse - an open-source analytical column database

It's blazingly fast and has a specific schema of scaling: logically by different clusters of servers and on logical level of distributed tables. ClickHouse is designed with linear scalability in mind: it allows companies to add servers to their clusters when necessary without investing time or money into any additional DBMS modification.
Fault tolerance is number two priority. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. Downtime of a single node or the whole datacenter won't affect the system's availability for both reads and writes. I will give an introduction and focus on scalability and general architecture of ClickHouse.

Hosted by Trifork (http://trifork.com)

6:00 - doors open, beers and food get served
6:45 - First speaker
7:30 - Break
7:45 - Second speaker
8:30 - Third speaker
9:00-10:00 - Have some fun