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Retesting Tutorial: A Comprehensive Guide With Examples and Best Practices Feb 20th 2023, 14:28, by Nazneen Ahmad Retesting is a process of validating a specific feature whose function failed during the previous test. It is done to verify whether the test cases reported with some bugs during the execution time are fixed. In the software development lifecycle, the major crucial elements are testing the software's functionality, performance, security, and other aspects, which involves checking the software for any errors. However, the major challenge is validating the software's working in line with the target audience. It is crucial to ensure the effectiveness and dependability of the developed software, and here retesting dives in as the savior. Development of SaaS Applications Feb 20th 2023, 13:09, by Anna Smith SaaS is the most popular and widely used category of cloud computing (the other two are IaaS and PaaS), offered to users and businesses who prefer a subscription software model and simple platform maintenance. In addition, SaaS is an excellent option for both experienced entrepreneurs and startup founders with ambitious goals due to its consistent revenue and secure code. Definition of a SaaS Application SaaS, or Software-as-a-Service, is a subscription-based model of delivering software and applications over the Internet without users needing to manage, install, and upgrade the software themselves. It is developing Software as a service application (e.g., Slack, Dropbox, Gmail, and Google Drive) that replaces offline software and can be accessed from any compatible device. Cloud service providers handle all aspects of a SaaS application. What ChatGPT Means for Customer Support and the Role of Vector Databases Feb 20th 2023, 12:28, by Twain Taylor Most organizations consider customer service an overhead while it is an opportunity. It allows you to drive continued value from the customer even after the sale. Successful businesses understand that customer service doesn't just help you retain customers but also gain more revenue. It is an underrated tool to enhance your marketing and sales efforts through referrals, testimonials, and classic word-of-mouth. However, it is critical to service customers in real-time without delays. With the emergence of AI, this requirement is rather achievable.  With AI, it is possible to support your customers across their journey by assisting them on the go. Also, the possibilities could be more realistic with AI-led chatbots and machine learning (ML) capabilities like NLP and instant data analysis. Finally, with the growing adoption of vector databases, businesses can tap into unstructured data to cater to their customers. Dev vs. Ops: Conflicted? So Are We. Feb 20th 2023, 11:29, by Daniel Stori This is an article from DZone's 2023 DevOps Trend Report. For more: Read the Report Modernize and Gradually Migrate Your Data Model From SQL to NoSQL Feb 20th 2023, 11:16, by Rashmi Nambiar This article was authored by AWS Sr. Specialist SA Alexander Schueren and published with permission. We all like to build new systems, but there are too many business-critical systems that need to be improved. Thus, constantly evolving system architecture remains a major challenge for engineering teams. Decomposing the monolith is not a new topic. Strategies and techniques like domain-driven design and strangler patterns shaped the industry practice of modernization. NoSQL databases became popular for modernization projects. Better performance, flexible schemas, and cost-effectiveness are key reasons for adoption. They scale better and are more resilient than traditional SQL databases. Using a managed solution and reducing operational overhead is a big plus. But moving data is different: it's messy and there are many unknowns. How do you design the schema, keep the data consistent, handle failures, or roll back? In this article, we will discuss two strategies that can help transition from SQL to NoSQL more smoothly: change data capture and dual-writes.

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