Real-time Data Mining with Spark
There are 2 new principles at the vanguard of today’s technology: Reactive UX. As the world’s population spends an increasing portion of their lives elect...
Recent Posts
Finagle ServerSet Clusters using Zookeeper
The key to high availability is redundancy; it follows that if uptime matters, Finagle needs to be deployed to multiple servers. This article walks through...
Separation of Concerns with Finagle
The Separation of Concerns (SoC) pattern is one of those software architectural choices that everyone is helpful. It increases clarity, shortens the amount o...
Transitioning C# to Scala Using Thrift
A 30 minute presentation I made on Sept 19th in a Scala-Toronto Meetup. The slides introduce Apache Thrift and the additional features offered by the Twitter...
Finagled Client and Multiplexed C# Thrift Server Bug
This is an obscure issue, with an easy workaround, but no obvious solution.
Binary Semaphore Filter
Long running queries are very taxing on a database. But caching idempotent queries may not always be a suitable solution. What happens if queries run for N-s...
Tracking Clients with Finagle
In a Service Oriented Architecture, a service may be used by many different clients – each with with different usage patterns and performance profiles. Behin...
Thrift Client Side Caching to Speed Up Unit Tests
One of the largest headaches associated with network system architecture is abstracting away the network. External resources are always slower and more disjo...
Reusing Finagle Server Filters on the Client
When using Thrift, Finagle Filters on the client inherit from SimpleFilter[ThriftClientRequest, Array[Byte]], while on the server they must inherit from Simp...
Finagle Query Cache with Guava
For many data services, any easy way to reduce database load is to cache calls to semi-static data (ie: append-only, or refreshed only on a set schedule), an...
Developer Friendly Thrift Request Logging
In a system of async service calls, sometimes the most indispensible debugging tool is knowing what and when network traffic is occurring. Unfortunately for ...
Ostrich. Not just for stats, also for documentation.
Ostrich is a stats collector and reporter created by Twitter, and it is a welcome addition to any Finagle (Apache Thrift) implementation. At its core it use...