If you are designing an app with Couchbase Mobile there are many factors that can impact its performance and scalability. This session provides guidance for scaling out your Couchbase Mobile cluster and deploying your mobile database in the cloud. Additionally, Traun will take you through several different deployment approaches and show you how easy and automated the deployment process can be for Couchbase Mobile.
Couchbase Lite is an incredibly powerful toolkit for building document-database-backed, offline-first, mobile apps. In this talk Matias will demonstrate how the same principles that make Couchbase Lite so great for mobile apps can be applied to develop complex desktop applications. He will also announce an open source library – Feather – which assists in object document mapping and domain modeling for a large Couchbase Lite-based application, which I has used over the past three years to create a full-blown offline-capable, collaborative word processor for complex scholarly documents.
We will discuss how IoT data can be easily accessed by user applications in real-time through the Couchbase Server and Mobile synchronization, while feeding sensory data through Kaa open source IoT platform.
It is possible to capture drone telemetry data anywhere in the world through a satellite up-link that is then connected to Couchbase Server. Using the Iridium satellite network, I will show how a drone (or any mobile platform) can broadcast GPS, Compass and other telemetry data in real time to Couchbase Server.
By automating the deployment of application inside software containers, Docker makes life easier for everyone – and by providing an always-on, scalable, flexible NoSQL database, Couchbase Server is enabling you to build applications like never before, with performance that was once unattainable. In this session, Docker’s Patrick Chanezon and Couchbase’s Tim Stephan will discuss how to combine the simplicity of Docker with the power of Couchbase Server to streamline your application development and deployment process. Developers – get the infrastructure out of the way and focus on your app. Architects – be secure in the knowledge that your applications will perform at scale.
Are you new to the world of NoSQL? In this session we’ll take a look at why enterprises are adopting NoSQL technologies, learn about the main flavors of NoSQL databases and the considerations you need to think about when evaluating NoSQL. We’ll also take a look at the common use cases of NoSQL technologies and a quick look into document modeling.
LinkedIn’s mission is to connect the world’s professionals to make them more productive and successful. LinkedIn members use the company’s products to get access to people, jobs, news, updates, and insights that help them be great at what they do. To support its goals on an engineering level, LinkedIn services must sustain high levels of QPS while providing data integrity. In this talk, we will discuss how LinkedIn uses Couchbase Server to help with read scaling and performance of its high impact services. We will also talk about some tooling we have created to integrate Couchbase Server into our systems and how we operationally manage our Couchbase Server clusters. Finally, we will explore some future uses of Couchbase Server within our environment.
Join this demo-filled session to learn how to deliver continuously available mission critical apps across data centers. For today’s mission critical apps, high availability is no longer a ‘nice to have’ but is essential. Downtime and data loss is unacceptable, resulting in lost revenue. In this session we will cover the wide array of high availability and disaster recovery features available in Couchbase Server.
Since being open sourced, Apache Kafka has been widely adopted by organizations ranging from web companies like Uber, Netflix, and LinkedIn to more traditional enterprises like Cerner, Goldman Sachs, and Cisco. These companies use Kafka in a variety of ways: 1) as a pipeline for collecting high-volume log data to load into Hadoop, 2) as a means of collecting operational metrics to feed monitoring/alerting applications, 3) for low latency messaging use cases, and 4) to power near real time stream processing. In this talk, Ewen and David will 1) discuss how companies are using Apache Kafka, 2) explore how its unique architecture enables it to be used for both real time processing and as a bus for feeding batch systems like Hadoop, and 3) describe where it fits in the Big Data ecosystem.