Data Resources

Choosing a Microservices Deployment Strategy Part 6

Here's part 6 of our microservices architecture, with a focus on deployment strategy!

February 23, 2016

by Chris Richardson

· 44,464 Views · 9 Likes

Trie-based Routing

The major reason routing is such an expensive issue in MVC is that it does quite a lot. But, by utilizing tries, you can save on performance.

February 23, 2016

by Oren Eini

· 4,110 Views · 1 Like

Microservice Performance Patterns

Microservices-based systems are increasingly prevalent. Here's a look at five common microservice-specific performance challenges and how to meet them.

February 22, 2016

by Rohit Dhall

· 31,305 Views · 23 Likes

Insights From Stackoverflow: Most Voted for Spring 4 Questions

Spring 4 is widely used, but as with any technology, there are loads of questions. Here are the most asked and answered questions on Stackoverflow, like differences in component and controller annotations, and what the Spring framework is actually used for.

February 20, 2016

by Alex Theedom

· 11,802 Views · 15 Likes

Inter-Process Communication in a Microservices Architecture

In part 3 of our building microservices series, let's explore inter-process communication in a microservices architecture!

February 20, 2016

by Chris Richardson

· 129,536 Views · 51 Likes

Real-time Data Pipelines with Kafka Connect

Information about Kafka Connect sourced from Spark Summit East 2016.

February 19, 2016

by Tim Spann

CORE

· 16,021 Views · 5 Likes

Loading Data Into Azure SQL Data Warehouse

I’m not an ETL expert. In fact, I haven’t done any professional ETL work for several years. My skills are, at best, rusty. With this in mind, I knew I’d have a hard time extracting data from a local database in order to move it up to Azure SQL Data Warehouse. Read on to hear about my journey.

February 18, 2016

by Grant Fritchey

· 13,967 Views · 6 Likes

The Most Important Elements of Cloud-Based Applications

Scalability, security, cost savings, integration/connectivity, and stability/availability are all important elements of cloud-based applications.

February 18, 2016

by Tom Smith

CORE

· 8,674 Views · 3 Likes

How to Build Angular 2 Apps Using Observable Data Services — Pitfalls to Avoid

In this post, we are going to see how an Angular 2 application can be built around the concept of observable data services. Read on to learn more.

February 18, 2016

by Vasco Cavalheiro

· 81,116 Views · 5 Likes

Expecting Failures in Microservices and Working Around Them

Learn more about microservice failures, and ways to circumvent failures in this excerpt from "Microservices in .NET."

February 17, 2016

by Christian Horsdal

· 28,178 Views · 7 Likes

Making the Impossible Possible with Tachyon: Accelerate Spark Jobs from Hours to Seconds

Barclays Data Scientist Gianmario Spacagna and Harry Powell, Head of Advanced Analytics, describe how they iteratively process raw data directly from the central data warehouse into Spark and how Tachyon is their key enabling technology.

February 16, 2016

by Henry Powell

· 37,065 Views · 8 Likes

Write JUnit Tests in Spring With Mocked and Real Objects

How to use mocked and non-mocked data to write unit tests using the free and open source JUnit framework.

February 16, 2016

by Saravanan Kandasamy

· 16,385 Views · 7 Likes

Report Finds Wearables Will Skyrocket in the Enterprise

Wearables have infiltrated the IoT space, but they're relegated mainly to the consumer market. However, 2016 may see wider adoption in the enterprise. Check out what APX Labs discovered in a recent report, "What's Next in Wearable Technology."

February 12, 2016

by Amy Groden-Morrison

· 4,138 Views · 1 Like