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Blog March 23, 2017
Automating Your Security Acceptance Tests
Automated security acceptance tests for UI applications. Using OSWAP ZAP client API, Selenium and Cucumber Java.
Data Engineering
Machine Learning
Blog March 23, 2017
Data Analytics using Cassandra and Spark
Distributed data technologies are great, but have many challenges. This is an introduction to using Cassandra and Spark together as a powerful data platform
Cassandra
Data Analysis
Data Engineering
Blog March 20, 2017
Programmable Infrastructure Needs Testing Too
Programmable infrastructure is code too, and it needs testing. What problems do we face testing our programmable infrastructure? How can we tackle them?
DevOps
Blog March 7, 2017
Google Cloud Spanner: our first impressions
Google Spanner distributed relational database has recently been made available to the wider public, hosted on Google Cloud. We took a closer look.
Data Analysis
GCP
Blog February 28, 2017
Some Uses For Type Aliases in Kotlin 1.1
A look at the uses of type aliases and extension functions in the new 1.1 release of Kotlin, the JVM language from the makers of IntelliJ.
Software Consultancy
Blog February 16, 2017
Everything you need to know about Cassandra Materialized Views
One of the default Cassandra strategies to deal with more sophisticated queries is to create CQL tables that contain the data in a structure that matches the query itself (denormalization). Cassandra 3.0 introduces a new CQL feature, Materialized Views which captures this concept as a first-class construct.
Cassandra
Blog February 13, 2017
Event Replaying with Hazelcast Jet
One of the stated intentions behind the design of Java 8's Streams API was to take better advantage of the multi-core processing power of modern computers. Operations that could be performed on a single, linear stream of values could also be run in parallel by splitting that stream into multiple sub-streams, and combining the results from processing each sub-stream as they became available.
Data Engineering
Blog January 26, 2017
Reactive event processing with Reactor Core: a first look
This blog gives some examples to illustrate the problem that Reactor Core solves, shows how Reactor Core can help, and discusses how it works internally.
Data Engineering
Blog January 25, 2017
The Three ‘R’s of Distributed Event Processing
One of the simplest and best-understood models of computation is the Finite State Machine (FSM). An FSM has fixed range of states it can be in, and is always in one of these states. When an input arrives, this triggers a transition in the FSM from its current state to the next state. There may be several possible transitions to several different states, and which transition is chosen depends on the input.
Cassandra
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Automating Your Security Acceptance Tests