Platform engineering has emerged in response to this increasing cognitive load resulting from the complexity of modern software tools and architectures. It centers on building pathways or platforms that ease the
Platform engineering is getting a lot of hype. But where this new discipline come from, and how it differs from more established practices like DevOps and SRE? Author: Luca Galante Platform engineering is taking off. It appeared on Gartner’s 2022 Hype Cycle for Software Engineering and was ...
Learn how platform engineering teams can use building blocks from Microsoft and other vendors to create deeply personalized, optimized, and secure developer experiences. Overview What is platform engineering? Concept Platform engineering principles
“AI-augmented and machine learning (ML)-powered software engineering is changing the way software is being created, tested and operated, and the need for responsible AI is growing,” saidDave Micko, Senior Director Analyst a...
- Platform engineering skills of provisioning Cloud resource is required- Strong knowledge and experience in building and maintaining scalable data pipelines- Strong experience with Python, Pandas, PySpark, in Airflow and building ETL workflows.- Strong SQL skills and experience with relational and non...
Site reliability engineering (SRE)is a practice that focuses on improving and maintaining the reliability of a software system. It utilizes software tools and automated tasks like application monitoring and reliability tasks to accomplish that.
Understand the differences between SRE, DevOps, and Platform Engineering. Learn how these roles interact and contribute to efficient software delivery.
7. Participate in theidentification and evaluation of new technologies and development of new services Qualifications 1. Education in compbossuter science, computer engineering, information systems or related fields. 2. Proficient experience on software/platform engineering and coding expertise on Java/...
SiPESC(Software Integration Platform for Engineering and Scientific Computation,工程与科学计算集成化软件平台)是由大连理工大学运载工程与力学学部/工业装备结构分析国家重点实验室研发的面向工程与科学计算的集成软件系统,目的是构建适用于计算力学的科学研究和工程应用的公共服务软件平台。软件平台将以共享/开源的形式向...
Regular R&D Job ID: J5LY1 Responsibilities The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable...