All our web and mobility applications are designed as per industry benchmarks of performance to ensure optimum experience to the users. While our engineering teams choose just the right algorithms for answering your application development or maintenance needs, our performance optimisation teams are equipped to tune those applications based on the usage patterns to get the best perceived performance.

Performance and scalability go hand in hand in providing the right user experience. Often, application performance deteriorates as the number of concurrent users using the application increases. Our architecture teams ensure the right capacity planning, scale out and scale up strategies, while designing the applications to handle anticipated as well as unanticipated application loads.

Our team of developers is well versed with the ethical hacking techniques, thus competent to expose the vulnerabilities in an application. We perform the STRIDE Threat modeling for every application, to scan for potential threats or loopholes and subsequently build solutions to address any security concerns.

Our developers are actively associated with OWASP community to stay abreast of newer threats and workout top of the line web security solutions for you.

We also help incorporate industry-specific compliances for your application systems such as PCIDSS Compliance required for e-commerce apps or HIPAA Compliance for healthcare.

Besides, security level for each product is developed in accordance with the criticality and weightage of data that the application would be handling.

High availability is a major factor in building the user trust and it is the key to success for businesses. All our architecture designs will incorporate the right level of availability by factoring in adequate redundancy to handle multi-level failures. Besides, we would also implement the strategies much needed in migrating the users seamlessly from a failed system to an active and healthy system.

Ensuring disaster recovery does not only mean preserving data backups. For us, it also translates to ensuring smooth business continuity related to the application developed, in case of any outage. We, therefore, actively employ mirroring of servers to remote locations so as to ensure data recovery.

Functional testing is the most significant part of validation process. The test life cycle starts alongside the development life cycle and involves steps like test planning and test case creation. The team executes the test cases against the system under test and registers the results against each test performed. Smoke Testing and Regression Testing are subset of functional testing that are used to execute the testing cycles faster in appropriate circumstances.

Exploratory Testing is a validation approach when a proper test life cycle is not feasible. The test team follows an impromptu way to discover important bugs through visual recording tools, which will help in documenting the bug reproduction steps.

Compatibility Testing focuses on validating the behaviour of system under test in various identified platforms. Browser compatibility is a major factor for building web applications, whereas device models and OS versions are primarily applicable for mobile applications. Invimatic testing teams are equipped to test on various physical devices as well as virtual platforms to cover all the applicable platforms.

Performance testing is a validation process, where the system performance is verified at a certain load. All the subsystems are monitored while the tests are being performed to identify the potential bottlenecks in the system under test. Stress Testing and Soak Testing are sub types of performance testing to identify maximum capacity and endurance of the system respectively.

Performance and scalability testing approaches are very closely associated with each other and they are part of non-functional testing methods. Scalability tests of a system measure its capability to scale up or scale out without impacting the performance significantly. The subsystems are monitored to identify the potential bottlenecks in scaling the system under test.