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Heroku Review apps available for Treeherder
In bug 1566207 I added support for Heroku Review Apps (link to official docs). This feature allows creating a full Treeherder deployment (backend, frontend and data ingestion pipeline) for a pull request. This gives Treeherder engineers the ability to have their own deployment without having to compete over the Treeherder prototype app (a shared deployment). This is important as the number of engineers and contributors increases.
Once created you get a complete Heroku environment with add-ons and workers configured and the deployment for it.
Looking back, there are few new features that came out of the work, however, Heroku Review apps are not used as widely as I would have hoped for.
| Linux-driven RISC-V core to debut on an NXP i.MX SoC
The OpenHW Group unveiled a Linux-driven “CORE-V Chassis” eval SoC due for tape-out in 2H 2020 based on an NXP i.MX SoC, but featuring its RISC-V-and PULP-based 64-bit, 1.5GHz CV64A CPU and 32-bit CV32E cores. Meanwhile, Think Silicon demonstrated a RISC-V-based NEOX|V GPU.
A not-for-profit, open source RISC-V initiative called the OpenHW Group that launched in June has announced that it plans to tape out a Linux-friendly CORE-V Chassis evaluation SoC in the second half of 2020 built around its 64-bit CV64A CPU core and 32-bit CV32E coprocessor. The RISC-V based cores will be integrated into an undefined, NXP i.MX heterogeneous, multi-core SoC design. The SoC was announced at this week’s RISC-V Summit in San Jose, Calif., where Think Silicon also demo’d an early version of a RISC-V-based NEOX|V GPU (see farther below).
The open source CV64A CPU core and 32-bit CV32E are based on RISC-V architecture PULP Platform cores developed by the University of ETH Zurich. The 64-bit CV64A core is based on ETH Zurich’s Ariane implementation of its RV64GC RISC-V core IP. RV64GC is also used by many other RISC-V projects, including SiFive’s U54.
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today's howtos and leftovers
| Juju 2.7: Enhanced k8s experience, improved networking and more
Canonical is proud to announce the availability of Juju 2.7. This new release introduces a range of exciting features and several improvements which enhance Juju across various areas.
To learn more about Juju, visit our page.
Kubernetes extensions
Juju is becoming the simplest way to deploy and manage your container-centric workloads. This release was aimed at bringing more Juju features to k8s charms and more k8s features to Juju.
K8s charms can now define actions, introspect agents, and communicate back to Juju via the addition of juju-run within the pod’s PATH environmental variable. Experienced k8s operators will feel more at home with the ability to set secrets, administer service accounts, and other k8s-native features from their charms directly.
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