Writing good acceptance criteria is one of the keys to effective software delivery. But it’s hard. This article looks at Feature Mapping, a new technique that can help.
Having covered SQL batches, let's move onto Oracle 12c's implicit cursors and how to fetch them using jOOQ/Java while not having to worry about low-level details.
If you're looking to use time granularities, you can set up a time series (with a workaround) while still benefitting from MongoDB's document-oriented infrastructure.
If you're using Couchbase, you likely know of N1QL. See how N1QL supports, or can mimic, seven classic SQL JOINs as well as some charts to show what you're JOINing.
It's tempting to provision more memory to your VM than you need, but that can cause headaches—and containers might make it worse. The answer lies in auto-scaling.
Parallel streams are a boon to concurrency, and Common Fork Join Pools are an important part of that interaction. This overview should shed some light on how they work.
Microservies and Docker have become the peanut butter and jelly of modern app delivery. They allow organizations to work in a consistent, isolated runtime environment.
Service discovery is an essential component of modern networks. This walkthrough of Hazelcast's service discovery SPI covers finding and adding new services and nodes.
Sometimes, claims call the same service for the same information over and over again. This behavior is called chattiness. Caching can help us optimize this chattiness.
If you're working on a small project or don't have the funds to pay for an automated bug tracking solution, you can create your own bug tracker in your JS source code.
Using Spring Data with Cassandra 3 extends Spring's power into more NoSQL. This detailed tutorial includes setting up Apache Cassandra and some basic interactions.
Using Anypoint Platform, you can develop a full cycle of API applications. Using RAML, you can define your service’s APIs, build an app, and share the API.
Data-driven testing facilitates test procedures, demonstrates more capability in discovering bugs, and ensures quality with logical input to assure successful deployment.
Nulls and the dreaded NPE can be awful, but by maintaining encapsulation, keeping your code simple, and using nulls only in certain situations, you can come out on top.
You can customize a Mule caching strategy so that the Mule cache scope actions can operate on the Redis data store. You can also try other third-party caching frameworks.
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