WOA Issue 22
In this issue: Abbreviated issue Report from Linaro Connect NATS…
From a news release from Linaro:
The Linaro Enterprise Group has worked closely with Linaro’s Core Technology & Tools teams to deliver the Linaro Enterprise Reference Platform with updates across the software stack (Firmware, Linux Kernel, and key server workloads) for Arm based Enterprise servers, and with a focus on QA testing and platform interoperability.
OpenStack reference architecture is now available with ansible playbooks, allowing users to deploy an end to end Openstack reference on Arm servers. BigTop 1.2 stack of BigData components have been built and tested with OpenJDK 8. Bigtop 1.2 consists of Hadoop 2.7.3 (upgraded from 2.7.2), Spark 2.1 (upgraded from 2.0), Hive 1.2.1 and HBase 1.1.3 as core components. In this release all smoke tests have been verified running on Arm for Hadoop – HDFS, Yarn and MapReduce, Hive and Spark. ELK v5.4.1 stack of components (ElasticSearch, Logstash and Kibana) are also built as part of this release.
The Raspbian operating system for the Raspberry Pi has been updated with a new edition based on Debian Stretch (Debian 9). The capacities and changes to the new system are highlighted on the official Raspberry Pi weblog. In addition to a whole set of updates coming from the Debian distribution update, the project has also update a number of user applications including Chromium, improved Bluetooth audio support by removing PulseAudio, and changing handling of the default ‘pi’ user login.
Raspbian is an operating system that runs on 32-bit ARM based Raspberry Pi systems. It runs in 32-bit mode even on the Pi 3 Model B, which is capable of running 64-bit arm64 code. See below if you are interested in operating system alternatives.
Fabio Loli (@fabiololix) maintains a list of operating systems known to run on the Raspberry Pi and also on other 32-bit and 64-bit ARM single board computers. The list details contact information for the release, names who is working on the project, and notes where relevant if the distribution is derived from some other set of work.
I was happy to see not only good entries for a number of distributions that was familiar with, and also news of some systems that were new to me.
The list is maintained on Github, and pull requests are welcomed.
Marina.io is designed as a resource for systems running Docker on 32-bit and 64-bit armhf and aarch64 systems. It provides a registry for Docker images compiled for those systems, and a Github webhook for doing automated builds of containers in their Raspberry Pi based compute farm.
Christoph Witzany and Dražen Lučanin built CloudFleet, a personal data assistant based on Raspberry Pi hardware, and noted the lack of universal support for ARM containers in DockerHub. This project hopes to remedy that gap with easy integration and automated builds.
DynamoRIO announces AArch64 support in Release Candidate 1 for their 7.0 release.
DynamoRIO is a runtime code manipulation system that supports code transformations on any part of a program, while it executes. DynamoRIO exports an interface for building dynamic tools for a wide variety of uses: program analysis and understanding, profiling, instrumentation, optimization, translation, etc. Unlike many dynamic tool systems, DynamoRIO is not limited to insertion of callouts/trampolines and allows arbitrary modifications to application instructions via a powerful IA-32/AMD64/ARM/AArch64 instruction manipulation library. DynamoRIO provides efficient, transparent, and comprehensive manipulation of unmodified applications running on stock operating systems (Windows, Linux, or Android) and commodity IA-32, AMD64, ARM, and AArch64 hardware. Mac OSX support is in progress.”
The Cloud Native Computing Foundation has announced a project to provide free infrastructure – including access to ARM64 servers – through Packet’s bare-metal hosting service.
A $25,000 monthly grant provides access to bare-metal servers for projects that advance the CNCF’s goals. Member organizations and open source projects can apply for these credits through a Github based open application process.
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