Red Hat Data Grid is an in-memory, distributed, NoSQL datastore solution. With it, your applications can access, process, and analyze data at in-memory speed to deliver a superior user experience. In-memory Data Grid has a variety of use cases in today’s environment, such as fast data access for low-latency apps, storing objects (NoSQL) in a […]
Tutorials and training on how to build secure applications using the latest in secure and defensive programming strategies.
In this session, we'll give a demonstration of using a centralized authentication service to secure many different microservices. The demo will be based on Project Keycloak, but it would apply as well to Stormpath, Ping.Indenty, or similar services.
What is Secure Coding?
Secure coding is a set of technologies and best practices for making software as secure and stable as possible. It encompasses everything from encryption, certificates, and federated identity to recommendations for moving sensitive data, accessing a file system, and managing memory. Although the security landscape is always changing, secure coding tries to make building secure software more of a science than an art.
Free Best Practices Guide for Defensive Coding
Writing secure code should be top of mind, especially given the number of application security breaches that find their way into the news. A critical first step is learning important secure coding principles and how they can be applied so you can code with security in mind. The Fedora Project's Defensive Coding Guide provides guidelines for improving software security through secure coding. It covers common programming languages and libraries, and focuses on concrete recommendations.
- The first part of the book contains useful tips for seven programming languages, such as C++, Java, or Go.
- Part two is dedicated to secure coding principles from manipulating files to processes.
- Part three offers tips for authentication, authorization, cryptographic protocols, hardware security modules, and smart cards.