Adding upstream version 1.19.0.upstream/1.19.0

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 0 insertions, 143 deletions

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-# Description of CI build configuration
-
-## Variables needed by travis
-
-- GITHUB_TOKEN - GitHub token with push access to repository
-- DOCKER_USERNAME - Username (netdatabot) with write access to docker hub repository
-- DOCKER_PWD - Password to docker hub
-- encrypted_8daf19481253_key - key needed by openssl to decrypt GCS credentials file
-- encrypted_8daf19481253_iv - IV needed by openssl to decrypt GCS credentials file
-- COVERITY_SCAN_TOKEN - Token to allow coverity test analysis uploads
-- SLACK_USERNAME - This is required for the slack notifications triggered by travis pipeline
-- SLACK_CHANNEL - This is the channel that Travis will be posting messages
-- SLACK_NOTIFY_WEBHOOK_URL - This is the incoming URL webhook as provided by slack integration. Visit Apps integration in slack to generate the required hook
-- SLACK_BOT_NAME - This is the name your bot will appear with on slack
-
-## CI workflow details
-Our CI pipeline is designed to help us identify and mitigate risks at all stages of implementation.
-To accommodate this need, we used [Travis CI](http://www.travis-ci.com) as our CI/CD tool.
-Our main areas of concern are:
-1) Only push code that is working. That means fail fast so that we can improve before we reach the public
-
-2) Reduce the time to market to minimum, by streamlining the release process.
-   That means a lot of testing, a lot of consistency checks, a lot of validations
-
-3) Generated artifacts consistency. We should not allow broken software to reach the public.
-   When this happens, it's embarassing and we struggle to eliminate it.
-
-4) We are an innovative company, so we love to automate :)
-
-
-Having said that, here's a brief introduction to Netdata's improved CI/CD pipeline with Travis.
-Our CI/CD lifecycle contains three different execution entry points:
-1) A user opens a pull request to netdata/master: Travis will run a pipeline on the branch under that PR
-2) A merge or commit happens on netdata/master. This will trigger travis to run, but we have two distinct cases in this scenario:
-   a) A user merges a pull request to netdata/master: Travis will run on master, after the merge.
-   b) A user runs a commit/merge with a special keyword (mentioned later).
-      This triggers a release for either minor, major or release candidate versions, depending the keyword
-3) A scheduled job runs on master once per day: Travis will run on master at the scheduled interval
-
-To accommodate all three entry points our CI/CD workflow has a set of steps that run on all three entry points.
-Once all these steps are successfull, then our pipeline executes another subset of steps for entry points 2 and 3.
-In travis terms the "steps" are "Stages" and within each stage we execute a set of activities called "jobs" in travis.
-
-### Always run: Stages that running on all three execution entry points
-
-## Code quality, linting, syntax, code style
-At this early stage we iterate through a set of basic quality control checks:
-- Shell checking: Run linters for our various BASH scripts
-- Checksum validators: Run validators to ensure our installers and documentation are in sync
-- Dashboard validator: We provide a pre-generated dashboard.js script file that we need to make sure its up to date. We validate that.
-
-## Build process
-At this stage, basically, we build :-)
-We do a baseline check of our build artifacts to guarantee they are not broken
-Briefly our activities include:
-- Verify docker builds successfully
-- Run the standard Netdata installer, to make sure we build & run properly
-- Do the same through 'make dist', as this is our stable channel for our kickstart files
-
-## Artifacts validation
-At this point we know our software is building, we need to go through the a set of checks, to guarantee
-that our product meets certain epxectations. At the current stage, we are focusing on basic capabilities
-like installing in different distributions, running the full lifecycle of install-run-update-install and so on.
-We are still working on enriching this with more and more use cases, to get us closer to achieving full stability of our software.
-Briefly we currently evaluate the following activities:
-- Basic software unit testing
-- Non containerized build and install on ubuntu 14.04
-- Non containerized build and install on ubuntu 18.04
-- Running the full Netdata lifecycle (install, update, uninstall) on ubuntu 18.04
-- Build and install on CentOS 6
-- Build and install on CentOS 7
-(More to come)
-
-### Nightly operations: Stages that run daily under cronjob
-The nightly stages are related to the daily nightly activities, that produce our daily latest releases.
-We also maintain a couple of cronjobs that run during the night to provide us with deeper insights,
-like for example coverity scanning or extended kickstart checksum checks
-
-## Nightly operations
-At this stage we run scheduled jobs and execute the nightly changelog generator, coverity scans,
-labeler for our issues and extended kickstart files checksum validations.
-
-## Nightly release
-During this stage we are building and publishing latest docker images, prepare the nightly artifacts
-and deploy them (the artifacts) to our google cloud service provider.
-
-
-### Publishing
-Publishing is responsible for executing the major/minor/patch releases and is separated
-in two stages: packaging preparation process and publishing.
-
-## Packaging for release
-During packaging we are preparing the release changelog information and run the labeler.
-
-## Publish for release
-The publishing stage is the most complex part in publishing. This is the stage were we generate and publish docker images,
-prepare the release artifacts and get ready with the release draft.
-
-### Package Management workflows
-As part of our goal to provide the best support to our customers, we have created a set of CI workflows to automatically produce
-DEB and RPM for multiple distributions. These workflows are implemented under the templated stages '_DEB_TEMPLATE' and '_RPM_TEMPLATE'.
-We currently plan to actively support the following Operating Systems, with a plan to further expand this list following our users needs.
-
-### Operating systems supported
-The following distributions are supported
-- Debian versions
-  - Buster (TBD - not released yet, check [debian releases](https://www.debian.org/releases/) for details)
-  - Stretch
-  - Jessie
-  - Wheezy
-
-- Ubuntu versions
-  - Disco
-  - Cosmic
-  - Bionic
-  - artful
-
-- Enterprise Linux versions (Covers Redhat, CentOS, and Amazon Linux with version 6)
-  - Version 8 (TBD)
-  - Version 7
-  - Version 6
-
-- Fedora versions
-  - Version 31 (TBD)
-  - Version 30
-  - Version 29
-  - Version 28
-
-- OpenSuSE versions
-  - 15.1
-  - 15.0
-
-- Gentoo distributions
-  - TBD
-
-### Architectures supported
-We plan to support amd64, x86 and arm64 architectures. As of June 2019 only amd64 and x86 will become available, as we are still working on solving issues with the architecture.
-
-The Package deployment can be triggered manually by executing an empty commit with the following message pattern: `[Package PACKAGE_TYPE PACKAGE_ARCH] DESCRIBE_THE_REASONING_HERE`.
-Travis Yaml configuration allows the user to combine package type and architecture as necessary to regenerate the current stable release (For example tag v1.15.0 as of 4th of May 2019)
-Sample patterns to trigger building of packages for all amd64 supported architecture:
-- '[Package amd64 RPM]': Build & publish all amd64 available RPM packages
-- '[Package amd64 DEB]': Build & publish all amd64 available DEB packages