Altexsoft
JUNE 26, 2019
When conducting various quality assurance activities , development teams are able to look at the product from the user’s standpoint. What is user acceptance testing and how is it different from quality assurance? Authentication is not needed. Add any product to a shopping cart. Proceed to the shopping cart.
Perficient
MARCH 27, 2023
Let’s see how to set the access tokens for APIs which are not public and need some sort of Authentication and Authorization. access token, but before that let’s do a quick walkthrough on the working architecture of OAuth2.0 Architecture The client needs an access token to access the resource from the resource server.
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Progress
APRIL 4, 2019
Enterprise micro-application architecture just makes sense from a software development perspective. This architecture makes sense from a software development concept. Yet, as we optimize for software architecture, we impair both human usability and productivity. Don’t Repeat Yourself. There is almost no economy of scale.
Trigent
JULY 7, 2022
Being digital by design, Fintechs are not bogged down by the legacy architectures that prevail at their competitor banks and are able to drive changes across their application landscape much faster to gain market share. Areas of focus for superior quality assurance.
Openxcell
NOVEMBER 28, 2023
To prevent such security threats, various enterprise application security best practices are employed, including the use of stringent authentication methods and access controls in order to prevent unauthorized access. Threats to enterprise-grade application security can be device-specific, network-specific, or user-specific.
Perficient
SEPTEMBER 27, 2023
Karate DSL Architecture Understanding the architecture of Karate DSL is crucial for harnessing its full power. Here’s an overview of the critical components in the Karate DSL architecture: Feature Files: Feature files are where you write your Karate DSL tests. It ensures consistency in your tests.
AWS Machine Learning - AI
JANUARY 26, 2024
Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.
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