Platform | DockerHub Official Image Tests | BareMetal Tests | Ampere Docker Tests |
---|---|---|---|
Ampere Altra Family | 4 | ||
AmpereOne Family | 4 | ||
Azure | 4 | ||
Equinix | 4 | ||
4 | |||
OCI Ampere A1 Compute | 4 | ||
Proliant RL300 | 4 |
Ampere Computing's platforms are uniquely designed to meet the needs of the modern cloud native workload. DockerHub hosts a number of official images for a wide range of software that can be pulled and used anywhere docker is supported. These are a set of images hand selected by a dedicated team at Docker, Inc. More information can be found in the official documentation on Official Images on Docker Hub.
More information on Ampere CIDR Regression Suites. Information & official documentation on Official Docker Hub Images. Information on PyPy Native Application on Bare Metal
PyPy is an alternative implementation of the Python programming language to CPython (which is the standard implementation). PyPy often runs faster than CPython because PyPy is a just-in-time compiler while CPython is an interpreter. Most Python code runs well on PyPy except for code that depends on CPython extensions, which either doesn't work or incurs some overhead when run in PyPy. Internally, PyPy uses a technique known as meta-tracing, which transforms an interpreter into a tracing just-in-time compiler. Since interpreters are usually easier to write than compilers, but run slower, this technique can make it easier to produce efficient implementations of programming languages. PyPy's meta-tracing toolchain is called RPython.
This article uses material from the Wikipedia article PyPy, which is released under the Creative Commons Attribution-Share-Alike License 3.0.
Here at Ampere we've built an extensive infrastructure focused on Continuous Integration, Delivery, and Regression (called CIDR).
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Our testing runs 24/7/365 in our regression infrastructure.
Basic Functional Test
Results are categorized as either 'Verified' or 'Unverified'.
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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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