A first glance at this powerful platform for distributing data across different node clients in order to improve the scalability of the application which adopts this solution of distributed cache (and not only).
In this post, I’ll show you an example using one features of Apache Geode accessing the data through Spring Data platform.
Continue reading “Pivotal GemFire – Apache Geode”
Resuming my journey through the Container Services (started with Pivotal Cloud Foundry) I’ve had a look at Red Hat OpenShift platform.
Building on Kubernetes platform, it offers a powerful service containers for a lot of different languages and frameworks.
Continue reading “Red Hat OpenShift – First look”
Reactive programming has been changing the way we develop code in our solution. How does it change the approach from the common imperative method of writing code? In this article, I’ve tried to apply the Reactive approach starting from a legacy code.
Continue reading “Spring Reactive – A real use case”
A little journey through the different possible access data methodologies that Spring makes available to Get and Set data on a SQL persistence storage.
A rapid review from the most controlled approach that delegates this task to framework (e.g. Hibernate) to the least controlled where you have to write the SQL queries.
Continue reading “A quick review to the Data Access methods with Spring”
In this post I’d like to make a little journey through the Pivotal Cloud platform known as “Cloud Foundry”. I did it by deploying two microservices and consuming internal service like Config Server, Circuit Breaker and, obviously, Service Registry.
Continue reading “Deploy a Spring Application to Pivotal Web Services”
Are you looking for a database that works as key/value pairs? High performance, obviously nosql and with disk persistence?
If the answer is “yes” but even if you’re not sure of what could be the solution, I’d really suggest to have a look at RedisDb, a good solution adopted for big performance challenges such log collections or page view ranking.
Continue reading “Data model in Redis”
Spring Cloud Stream improves the opportunities to distribute the task computation into different micro services using a message driven methodology.
Using a pattern based on source, process and sink, we’re able to build pipeline for resolving common issue as log processor. This is what I’m going to do in this article.
Continue reading “Log processor with Spring Cloud Stream”