Abstract The Java Platform has seen a tremendous amount of evolution and improvements over the past five years in many different areas, including: language features in Java, Kotlin, and Scala; Functional Programming; dev environments; test workflows; Reactive; Stream processing; distributed data; containerization; serverless; and AoT compilation. This talk will give you a tour of the … Read More
Abstract What do you do when your quest for power leads you to implementations which are not just platform-but processor- and even architecture-version-specific in nature? How do you even start tracking down a bug in a Scala-based implementation which is not only nondeterministic, but only manifests on certain hardware? In this talk, we will dive … Read More
Java has been around for the duration many professional developer careers. This event, brought to you by Chariot Solutions, will try to take stock of Java at 25.
We will talk about Spotify’s story of migrating our big data infrastructure to Google Cloud. Over the past year or so we moved away from maintaining our own 2500+ node Hadoop cluster to managed services in the cloud. We replaced two key components in our data processing stack, Hive and Scalding, with BigQuery and Scio … Read More
Property-based testing is as close to a panacea as we are likely to get in the software industry. Whether you’re someone who loves writing tests or someone who finds testing tedious, identifying and testing the properties and invariants of your code can produce more useful (and more interesting) tests. This talk will briefly cover what … Read More
Keeping up with the pace of change in emerging technology is an ever present challenge for enterprises. Trying to build systems that age and evolve gracefully over time is not a small task. We are all familiar with frameworks that help us implement architectural patterns, especially application architecture. In this session we will investigate Lagom, … Read More
To take full advantage of Java 8’s support for lambdas and interfaces with concrete methods, a lot is changing behind the scenes of the Scala 2.12 compiler! In this session, learn what’s changing.
Scala is famous in part for having one of the richest type systems of all mainstream programming languages today. Despite its reputation, Scala’s type system remains one of the most under-documented and jargon-heavy aspects of Scala. This talk will turn the academese into English, providing an example-rich tour of Scala’s type system, covering all the things that make people call it “powerful”. This talk isn’t about showcasing a bunch of challenging little logical puzzles with types; on the contrary, this talk is about showing practical uses of Scala’s type system, making it work for you and your users.
In today’s world of exploding big and fast data, developers who want both streaming analytics and ad hoc, OLAP-like analysis have often had to develop complex architectures such as Lambda—a path for fast streaming analytics using NoSQL stores such as Cassandra and HBase with a separate batch path involving HDFS and Parquet. While this approach works, it involves too many moving parts, too many technologies for ops, and too many engineering hours. Helena Edelson and Evan Chan highlight a much simpler approach to combine streaming and ad hoc/batch analysis using what they call the NoLambda stack (Apache Spark/Scala, Mesos, Akka, Cassandra, Kafka), plus FiloDB, a new entrant to the distributed-database world that combines streaming and ad hoc analytics.
From the abstract: Last year, Miles Sabin wrote that “there is … a significant constituency at the core of the Scala community whose needs are not being fully met [by Typesafe’s focus on stability and Java 8 compatibility].” That statement summarizes the mission behind Typelevel.org, a project that currently consists of a fork of the … Read More
