{"id":241859,"date":"2023-07-21T11:26:20","date_gmt":"2023-07-21T09:26:20","guid":{"rendered":"https:\/\/soflab.pl\/?p=241859"},"modified":"2023-07-21T14:45:38","modified_gmt":"2023-07-21T12:45:38","slug":"various-types-and-characteristics-of-non-production-environments","status":"publish","type":"post","link":"https:\/\/soflab.pl\/en\/data-anonymization-en-en\/various-types-and-characteristics-of-non-production-environments\/","title":{"rendered":"Various types and characteristics of non-production environments"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;8px|||||&#8221; da_disable_devices=&#8221;off|off|off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px|||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p>In today\u2019s dynamic world of software technologies, both development and maintenance of the high-quality applications and systems is vital for business. To achieve this, it is necessary to provide various types of non-production environments to support the developers\u2019, testers\u2019 and other specialists\u2019 work on the applications in secure and well-controlled conditions.<\/p>\n<p>The term <strong>environment<\/strong>, as an element of the software development process, may be defined as a set of tools, technologies, platforms and resources used during development, testing and implementation of the new software.<\/p>\n<p>The environment where the software is deployed during the final stage of development process is referred to as the <strong>production environment<\/strong>. Apart from the software itself, it includes also hardware infrastructure, servers, as well as networks, databases and all other elements necessary for software operation during the production processes.<\/p>\n<p><strong>The non-production environment<\/strong> in the IT area is designed to experiment, develop and test new features, fix bugs, verify and optimize performance, and run trainings without any risks for the production environment. Depending on the purpose of the activities, the following types of the non-production environments may be identified: development environment, test environment, training environment, performance test environment, etc.<\/p>\n<p>Different stages of the development process operate in environments of different characteristics, related to the project context. The key point is to identify the purpose and users of individual environments.<\/p>\n<p>Our article describes various types of non-production environments and their characteristics to help you understand their meanings and usage.<\/p>\n<p>&nbsp;<\/p>\n<h2>Characteristics of non-production environments<\/h2>\n<p>Non-production environments may be defined through the series of qualities, which support the testing tasks or software development, such as:<\/p>\n<ul>\n<li><strong>Isolation<\/strong> \u2013 separation of the non-production and production environments prevents any impact of the run tests, experiments or trainings on the functioning and operations of the actual users and production system. This helps to minimize the risk of bugs or unwanted modifications in the production environment.<\/li>\n<li><strong>Flexibility<\/strong> \u2013 the environments should be designed in a flexible way in order to facilitate their reconfiguration and adaptation to various testing needs and requirements, including specific test scenarios.<\/li>\n<li><strong>Data management<\/strong> \u2013 test data management in the non-production environments is crucial. Depending on the software context, the data may be easy or difficult to obtain and require specific preparations, including use of data simulators. Non-production environments may use test, synthetic or production data. While using the production data, the GDPR regulations must be observed. Therefore, instead of working on the actual data, it should be anonymized, e.g. with the Soflab G.A.L.L. tool. Use of anonymized data allows to run the tests on the production-like data, excluding any identifiable information about the customers. This means that such data has its transaction history and is interconnected, and, following the anonymization, it remains consistent and reliable in terms of technical (for data stored in different data bases) and business relations .<\/li>\n<li><strong>Adequacy<\/strong> \u2013 the environment should be adequate for the objectives of run tests or other tasks. For example, the development or test environments do not have to fully reproduce the production environment in order to ensure reliable testing. Similarly, the training environment does not require full infrastructure, but may contain stubs to facilitate the application training sessions for new users.<\/li>\n<li><strong>Versioning<\/strong> \u2013 the non-production environment software should be managed via the version control systems in order to enable tracking of the changes, facilitate code management and ensure the environment replication during subsequent stages of the project.<\/li>\n<li><strong>Control<\/strong> \u2013 the non-production environment should be strictly managed in terms of accessibility and changes. Limited access to the non-production environment helps to ensure data and application security, and eliminate the unwanted impact of introduced changes on the production process.<\/li>\n<li><strong>Reproducibility<\/strong> \u2013 the non-production environments should be easy to reproduce in order to ensure reproducibility of the tests and experiments. Environment reproducibility is a solution used to create separate environments for different types of testing (e.g. performance testing), data migration or integration. Running all these tests in one environment could reduce or eliminate the possibilities to perform other types of tests, e.g. functional or automated.<\/li>\n<\/ul>\n<blockquote><\/blockquote>\n<h2>What are the types of non-production environments?<\/h2>\n<p>One group of the non-production environments includes those which support the software development process. Basic types of such environments have been described below.<\/p>\n<p><strong>Development environment<\/strong> \u2013 this environment is designed for the developers to build, modify and verify their code in practice. It offers the access to various development tools, repositories, debuggers and other resources necessary for effective work. The development environment is usually flexible and allows the developers to experiment with different solutions, enables iterative system development, and is usually separated from other environments, which ensures isolated work. Such environments often use version control tools, such as Git, enabling effective management of the source code and facilitating team work. Each developer operates a local version of the current code.<\/p>\n<p><strong>Test environment<\/strong> \u2013 this environment includes hardware, equipment, simulators, software tools and other supporting elements, necessary to run the tests [ISO\/IEC\/IEEE 24765]. It is used for testing and verification of the system before the deployment of changes in the production environment. One project may require several test environments, e.g. performance testing environment, integration testing environment, security testing environment and preprod testing environment. Use of separate environments for different types of testing allows to reduce the cross-impact of the tests on one another, e.g. performance testing could disable simultaneous functional or security testing. Test environment should be more stable than development environment. Test environments are used to identify bugs and imperfections in the application before it is delivered to the final users. Here the testers may simulate various scenarios and conditions in order to ensure that the application meets the customer\u2019s expectations. This environment offers more flexibility of the test data management. It is recommended to use the data generated specifically for the test purposes, which is easy to modify. This facilitates running varied test scenarios and manipulation of the data. Use of the production data may reduce flexibility and hinder the use-case testing. Test data used at this stage should closely reflect the real data, but it must not be taken directly from the production processes. Working on the real data in the test environment poses a risk of sensitive data leakage. Organizations processing data are obliged to ensure full protection of this data and provide relevant security, e.g. in the form of <a href=\"https:\/\/soflab.pl\/en\/test-data-management-and-masking-tool\/\"><u>anonymization or masking of personal data<\/u><\/a>. Soflab G.A.L.L. anonymizes production data and this way retains it in the production environment. Even if the data leakage occurs from the test environment, it will never involve sensitive personal data. This enables effective testing, compliant with the applicable privacy and data security regulations and with the company policies, using the production-like data, e.g. with consistent transaction history.<\/p>\n<p><strong>Preprod environment<\/strong> \u2013 this environment resembles the production environment in terms of configuration and infrastructure. Its aim is to test the application (system) in the real-life conditions in order to ensure that it is functioning correctly before the market launch. For the largest systems this is often the stage when the software update procedure is verified. This allows for identification and solution of potential problems which could affect the application operation in the production environment, and minimizes the risk of implementation mistakes. It is a good practice to run the regression tests here, both of the new features and of bug fixes. Preprod environment is usually fully functional and uses data similar to real data, but not public yet. Also in this environment test data should be secured and protected. It is recommended to use the data generated specifically for the test purposes. It may be adapted to specific needs and effectively protected, e.g. by <a href=\"https:\/\/soflab.pl\/en\/test-data-management-and-masking-tool\/\"><u>anonymization or masking of personal data<\/u><\/a>. Preprod environment is appropriate for final testing, performance testing or scalability testing.<\/p>\n<p>Non-production environments may be applied also beyond the software development process. This group includes training environments and disaster recovery environments, designed to replace the production environments in case of failure.<\/p>\n<p><strong>Training environment<\/strong> \u2013 is used for trainings of the new employees or external users of the application or new features of the system. Training environment is an environment where the users can learn, experiment and test various scenarios without affecting the production environment. It may include a demo, training scenarios, test data, documentation and other tools facilitating the training process. The data used in the training scenarios should closely reflect the real data, but they should also be anonymized. This ensures full security of the production data, while retaining the data consistence within the training process.<\/p>\n<p><strong>Disaster recovery environment<\/strong> \u2013 disaster recovery environment is designed to ensure the continuous work of the application in the event of failure or disaster in the production environment, following some unexpected occurrences, such as hacker attack, flooding, fire, etc. It is recommended that in such emergency situations in the production environment the procedure of disaster recovery environment launch is automatically initiated, in order to reduce the impact on the system users. This environment is reproduced in a separate infrastructure, to maintain business continuity and minimize losses or downtime. It ensures redundancy and reproduction of the applications and data in case of failure, damage to production environment or loss of production data. Disaster recovery environments are usually set in separate geographical locations, on remote servers or in the cloud, and are regularly updated with the main production environment data.<\/p>\n<p>&nbsp;<\/p>\n<h2>Non-production environments are an integral element of the IT application development and maintenance<o:p><\/o:p><\/h2>\n<p>Non-production environments are an integral element of the IT application development and maintenance. Each of these environments has their own objectives and characteristics, which contribute to the quality assurance, security and performance of the application. It is important to understand the differences between individual types on non-production environments and ensure that they are correctly configured and managed. This will help the development and testing teams to work effectively on the development, testing and maintenance of high-quality applications. Used appropriately, the non-production environments help to minimize the risk of bugs and failures, facilitate the process and increase the effectiveness of software development, and this way, contribute to the delivery of optimum high-quality IT solutions.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In today\u2019s dynamic world of software technologies, both development and maintenance of the high-quality applications and systems is vital for business. To achieve this, it is necessary to provide various types of non-production environments to support the developers\u2019, testers\u2019 and other specialists\u2019 work on the applications in secure and well-controlled conditions.<\/p>\n","protected":false},"author":23,"featured_media":241851,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[182],"tags":[287,291,292,288,290,286,289],"class_list":["post-241859","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-anonymization-en-en","tag-data-anonymization","tag-development-environment","tag-disaster-recovery-en","tag-non-production-environment","tag-preproduction-environment","tag-test-data","tag-testing-environment"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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