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Continuous Integration / Continuous Delivery on AWS

Mike Roberts

Continuous Integration and Continuous Delivery (CI/CD) are techniques that I’ve had a passion about for a long time. we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. What are the AWS Continuous Integration / Continuous Delivery tools?

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Continuous Integration / Continuous Delivery on AWS

Mike Roberts

Continuous Integration and Continuous Delivery (CI/CD) are techniques that I’ve had a passion about for a long time. we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. What are the AWS Continuous Integration / Continuous Delivery tools?

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Race Against Technology with Codeless Automation

Trigent

Next-generation technologies like Artificial intelligence (AI), Machine Learning (ML), and Machine Learning as Services are the most influential factors of codeless automation testing. As a result, testing becomes an essential part of the entire SDLC. Supports native plugins for the popular Continuous Integration (CI) tools.

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To Boost Software Supply Chain Security, Stop the Finger-Pointing

Tenable

A key takeaway from the report is quite revealing: Team culture, not technology, is the most important factor at play when it comes to effectively securing the software development lifecycle (SDLC). Some of respondents’ most widely adopted SDLC security practices were: . Having a centralized CI/CD system.

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What is SDLC (Software Development Life Cycle)?

Openxcell

SDLC stands for Software Development Life Cycle. Importance of SDLC. Now, there are countless advantages of SDLC to have for your design project. SDLC Phases. Planning Stage in SDLC. Define Requirements in SDLC. Designing in SDLC. Software Development Life Cycle – Overview. Define Requirements.

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Quality Assurance (QA) Testing & the Business Impacts of Software Quality

Gorilla Logic

By using a combination of skills, practices, and tools, the QA function (made up of one or more QA practitioners) supports the software development lifecycle (SDLC) from start to finish. Furthermore, technology alone can’t provide data regarding user satisfaction, ease of use, or aesthetics. Requirements analysis.

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DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimized GPU Workloads at Scale

DataRobot

Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. We couldn’t agree more.