After implementation, software must be actively monitored and tweaked to remain fully functional and efficient, and to continue meeting the needs of its users. There are many reasons code might need adjusting: to maintain compatibility and security in an evolving hardware and software environment, to enhance efficiency and features, or to resolve unexpected issues, for example.
This work involves three complementary tasks: corrective maintenance, when issues are detected; preventive maintenance, to avert issues; and perfective maintenance, to respond to new user needs.
Spiria's dedicated, highly skilled post-development support and maintenance professionals are trained to work on your software, and can assist you with all types of applications and platforms. We can provide regular, planned maintenance to keep your system up-to-date, extend the life expectancy of your legacy system, lessen a technical debt, improve the reliability of essential applications, reduce internal maintenance costs, lighten the load of your IT department, or help you avoid unplanned service disruptions due to system issues.
Whether it’s for Spiria-developed systems or third-party systems, we offer a comprehensive post-production support and maintenance service geared to your specific needs. For your peace of mind, our team is available to analyze and find quick solutions to your requests. Or, we can provide routine preventative maintenance, for example by taking care of security updates for your components or verifying compatibility with new versions of operating systems.
Spiria’s support team applies best practices to ensure the smooth operation of your software for as long as possible. For example, we make sure to assign at least two post-production developers to your product: these experts are dedicated to acquiring, maintaining, and documenting in-depth knowledge of your software product so as to ensure knowledge continuity and guarantee that your requests can still be handled years down the line. Furthermore, your application’s deployment infrastructure, testing environments and documentation are always kept up-to-date.
When creators think up a new product, they often include a thousand and one features to make it engaging and totally unique. Unfortunately, the resulting beast is often huge and unwieldy.
Today’s high core-count processors require parallel algorithms for programs to run fast. To achieve this, asynchronization and future values are not a reliable solution.
One of the challenges of writing multithreaded code is that it is often necessary to share data that was not designed to be used by multiple threads at the same time. In this blog post, I want to show two approaches to protect such data: duplication and wrap.
