|Platform||DockerHub Official Image Tests||BareMetal Tests||Ampere Docker Tests|
|Ampere CIDR Altra||1|
|Ampere CIDR Altra Max||1|
|HPE Altra Max||1|
|OCI Ampere A1 Compute||1|
Ampere Computing's platforms are uniquely designed to meet the needs of the modern cloud native workload. Ampere's CIDR regression infrastructure uses images taken from a variety of sources. In this case, the regression runs in a container. The Spark image is a dockerfile built by Ampere Computing which currently uses Apache Spark version 2.4.8 Results for the test are found below in the Test Results section of this page.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way.
Here at Ampere we've built an extensive infrastructure focused on Continuous Integration, Delivery, and Regression (called CIDR).
Read More About CIDR
Our testing runs 24/7/365 in our regression infrastructure.
Basic Functional Test
Results are categorized as either 'Verified' or 'Unverified'.
Test and build infrastructure can encounter complexities or unexpected speed bumps. Known incidents and their resolutions will be documented where applicable.
DockerHub Introduces Image Pull Limits (2020.11)
Date,Platform and OS details of verified test results are displayed on hover bubble.
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