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2. DevOps - Wikipedia

   en.wikipedia.org/wiki/DevOps

   This is an accepted version of this page This is the latest accepted revision, reviewed on 14 December 2024. Set of software development practices DevOps is a methodology integrating and automating the work of software development (Dev) and information technology operations (Ops). It serves as a means for improving and shortening the systems development life cycle. DevOps is complementary to ...

3. List of professional designations in the United States

   en.wikipedia.org/wiki/List_of_professional...

   Certified Sales Engineer: CSE: Certified by the National Association of Sales Engineers (NAASE) via submission online [129] Certified Scheduling Technician: CST: AACE International: Certified Senior Advisor: CSA: Society of Certified Senior Advisors Certified Systems Engineering Professional: CSEP: International Council on Systems Engineering ...

4. Requirements analysis - Wikipedia

   en.wikipedia.org/wiki/Requirements_analysis

   In systems engineering and software engineering, requirements analysis focuses on the tasks that determine the needs or conditions to meet the new or altered product or project, taking account of the possibly conflicting requirements of the various stakeholders, analyzing, documenting, validating, and managing software or system requirements.

5. Amazon Web Services - Wikipedia

   en.wikipedia.org/wiki/Amazon_Web_Services

   Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...

6. Site reliability engineering - Wikipedia

   en.wikipedia.org/wiki/Site_reliability_engineering

   Site Reliability Engineering (SRE) is a discipline in the field of Software Engineering that monitors and improves the availability and performance of deployed software systems, often large software services that are expected to deliver reliable response times across events such as new software deployments, hardware failures, and cybersecurity attacks [1].

7. MLOps - Wikipedia

   en.wikipedia.org/wiki/MLOps

   MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...