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diff --git a/docs/release/configguide/Auto-featureconfig.rst b/docs/release/configguide/Auto-featureconfig.rst index fe51be3..ed68069 100644 --- a/docs/release/configguide/Auto-featureconfig.rst +++ b/docs/release/configguide/Auto-featureconfig.rst @@ -14,22 +14,29 @@ and provides guidelines on how to perform configurations and additional installa Goal ==== -The goal of `Auto <http://docs.opnfv.org/en/latest/submodules/auto/docs/release/release-notes/index.html#auto-releasenotes>`_ installation and configuration is to prepare an environment where the `Auto use cases <http://docs.opnfv.org/en/latest/submodules/auto/docs/release/userguide/index.html#auto-userguide>`_ can be assessed, i.e. where the corresponding test cases can be executed and their results can be collected. +The goal of `Auto <http://docs.opnfv.org/en/latest/submodules/auto/docs/release/release-notes/index.html#auto-releasenotes>`_ +installation and configuration is to prepare an environment where the +`Auto use cases <http://docs.opnfv.org/en/latest/submodules/auto/docs/release/userguide/index.html#auto-userguide>`_ +can be assessed, i.e. where the corresponding test cases can be executed and their results can be collected. An instance of ONAP needs to be present, as well as a number of deployed VNFs, in the scope of the use cases. The initial Auto use cases cover: -* Edge Cloud (increased autonomy and automation for managing Edge VNFs) -* Resilience Improvements through ONAP (reduced recovery time for VNFs and end-to-end services in case of failure or suboptimal performance) -* Enterprise vCPE (automation, cost optimization, and performance assurance of enterprise connectivity to Data Centers and the Internet) +* **Edge Cloud** (increased autonomy and automation for managing Edge VNFs) +* **Resilience Improvements through ONAP** (reduced recovery time for VNFs and end-to-end services in case of failure + or suboptimal performance) +* **Enterprise vCPE** (automation, cost optimization, and performance assurance of enterprise connectivity to Data Centers + and the Internet) The general idea of Auto is to install an OPNFV environment (comprising at least one Cloud Manager), an ONAP instance, ONAP-deployed VNFs as required by use cases, possibly additional cloud managers not already installed during the OPNFV environment setup, traffic generators, and the Auto-specific software -for the use cases (which can include test frameworks such as `Robot <http://robotframework.org/>`_ or `Functest <http://docs.opnfv.org/en/latest/submodules/functest/docs/release/release-notes/index.html#functest-releasenotes>`_). +for the use cases (which can include test frameworks such as `Robot <http://robotframework.org/>`_ or +`Functest <http://docs.opnfv.org/en/latest/submodules/functest/docs/release/release-notes/index.html#functest-releasenotes>`_). The ONAP instance needs to be configured with policies and closed-loop controls (also as required by use cases), -and the test framework controls the execution and result collection of all the test cases. +and the test framework controls the execution and result collection of all the test cases. Then, test case execution +results are analyzed, so as to fine-tune policies and closed-loop controls. The following diagram illustrates two execution environments, for x86 architectures and for Arm architectures. The installation process depends on the underlying architecture, since certain components may require a @@ -39,7 +46,7 @@ manager), for x86 or for Arm. The initial VM-based VNFs will cover OpenStack, an additional cloud managers will be considered. The configuration of ONAP and of test cases should not depend on the architecture. -.. image:: auto-installTarget-generic.jpg +.. image:: auto-installTarget-generic.png For each component, various installer tools will be selected (based on simplicity and performance), and @@ -47,12 +54,18 @@ may change from one Auto release to the next. For example, the most natural inst OOM (ONAP Operations Manager). The initial version of Auto will focus on OpenStack VM-based VNFs, onboarded and deployed via ONAP API -(not by ONAP GUI, for the purpose of automation). ONAP is installed on Kubernetes. Two servers from LaaS -are used: one to support an OpenStack instance as provided by the OPNFV installation via Fuel/MCP, and -the other to support ONAP with Kubernetes and Docker. Therefore, the VNF execution environment is the -server with the OpenStack instance. +(not by ONAP GUI, for the purpose of automation). ONAP is installed on Kubernetes. Two or more servers from LaaS +are used: one or more to support an OpenStack instance as provided by the OPNFV installation via Fuel/MCP or other +OPNFV installers (Compass4NFV, Apex/TripleO, Daisy4NFV, JOID), and the other(s) to support ONAP with Kubernetes +and Docker. Therefore, the VNF execution environment is composed of the server(s) with the OpenStack instance(s). -.. image:: auto-installTarget-initial.jpg +.. image:: auto-installTarget-initial.png + +ONAP/K8S has several variants. The initial variant considered by Auto is the basic one recommended by ONAP, +which relies on the Rancher installer and on OpenStack VMs providing VMs for the Rancher master and for the +Kubernetes cluster workers, as illustrated below for ONAP-Beijing release: + +.. image:: auto-installTarget-ONAP-B.png The OpenStack instance running VNFs may need to be configured as per ONAP expectations, for example creating @@ -64,16 +77,16 @@ SDK, or OpenStack CLI, or even OpenStack Heat templates) would populate the Open -Jenkins (or more precisely JJB: Jenkins Job Builder) will be used for Continuous Integration in OPNFV releases, to ensure that the latest master -branch of Auto is always working. The first 3 tasks in the pipeline would be: install OpenStack instance via OPNFV -installer (Fuel/MCP for example), configure the OpenStack instance for ONAP, install ONAP (using the OpenStack -instance network IDs in the ONAP YAMP file). +Jenkins (or more precisely JJB: Jenkins Job Builder) will be used for Continuous Integration in OPNFV releases, +to ensure that the latest master branch of Auto is always working. The first 3 tasks in the pipeline would be: +install OpenStack instance via OPNFV installer (Fuel/MCP for example), configure the OpenStack instance for ONAP, +install ONAP (using the OpenStack instance network IDs in the ONAP YAML file). Moreover, Auto will offer an API, which can be imported as a module, and can be accessed for example by a web application. The following diagram shows the planned structure for the Auto Git repository, supporting this module, as well as the installation scripts, test case software, utilities, and documentation. -.. image:: auto-repo-folders.jpg +.. image:: auto-repo-folders.png @@ -82,15 +95,18 @@ Pre-configuration activities The following resources will be required for the initial version of Auto: -* two LaaS (OPNFV Lab-as-a-Service) pods, with their associated network information. Later, other types of target pods will be supported. -* the `Auto Git repository <https://git.opnfv.org/auto/tree/>`_ (clone from `Gerrit Auto <https://gerrit.opnfv.org/gerrit/#/admin/projects/auto>`_) +* at least two LaaS (OPNFV Lab-as-a-Service) pods (or equivalent in another lab), with their associated network + information. Later, other types of target pods will be supported, such as clusters (physical bare metal or virtual). + The pods can be either x86 or Arm CPU architectures. +* the `Auto Git repository <https://git.opnfv.org/auto/tree/>`_ + (clone from `Gerrit Auto <https://gerrit.opnfv.org/gerrit/#/admin/projects/auto>`_) Hardware configuration ====================== -<TBC> +<TBC; large servers, at least 512G RAM, 1TB storage, 80-100 CPU threads> @@ -100,7 +116,8 @@ Feature configuration Environment installation ^^^^^^^^^^^^^^^^^^^^^^^^ -Current Auto work in progress is captured in the `Auto Lab Deployment wiki page <https://wiki.opnfv.org/display/AUTO/Auto+Lab+Deployment>`_. +Current Auto work in progress is captured in the +`Auto Lab Deployment wiki page <https://wiki.opnfv.org/display/AUTO/Auto+Lab+Deployment>`_. OPNFV with OpenStack @@ -114,7 +131,7 @@ This OPNFV installer starts with installing a Salt Master, which then configures subnets and bridges, and install VMs (e.g., for controllers and compute nodes) and an OpenStack instance with predefined credentials. -.. image:: auto-OPFNV-fuel.jpg +.. image:: auto-OPFNV-fuel.png The Auto version of OPNFV installation configures additional resources for the OpenStack virtual pod, @@ -136,21 +153,37 @@ These lines can be added to configure more resources: gtw01: ram: 2048 + cmp01: - + vcpus: 16 - + ram: 65536 - + disk: 40 + + vcpus: 32 + + ram: 196608 + cmp02: - + vcpus: 16 - + ram: 65536 - + disk: 40 + + vcpus: 32 + + ram: 196608 -The final step deploys OpenStack (duration: approximately between 30 and 45 minutes). +The final steps deploy OpenStack (duration: approximately between 30 and 45 minutes). .. code-block:: console - 6. ci/deploy.sh -l UNH-LaaS -p virtual1 -s os-nosdn-nofeature-noha -D |& tee deploy.log + # The following change will provide more space to VMs. Default is 100G per cmp0x. This gives 350 each and 700 total. + 6. sed -i mcp/scripts/lib.sh -e 's/\(qemu-img create.*\) 100G/\1 350G/g' + + # Then deploy OpenStack. It should take between 30 and 45 minutes: + 7. ci/deploy.sh -l UNH-LaaS -p virtual1 -s os-nosdn-nofeature-noha -D |& tee deploy.log + + # Lastly, to get access to the extra RAM and vCPUs, adjust the quotas (done on the controller at 172.16.10.36): + 8. openstack quota set --cores 64 admin + 9. openstack quota set --ram 393216 admin + + +Note: +* with Linux Kernel 4.4, the installation of OPNFV is not working properly (seems to be a known bug of 4.4, as it works correctly with 4.13): + neither qemu-nbd nor kpartx are able to correctly create a mapping to /dev/nbd0p1 partition in order to resize it to 3G (see Fuel repository, + file `mcp/scripts/lib.sh <https://git.opnfv.org/fuel/tree/mcp/scripts/lib.sh>`_ , function mount_image). +* it is not a big deal in case of x86, because it is still possible to update the image and complete the installation even with the + original partition size. +* however, in the case of ARM, the OPNFV installation will fail, because there isn't enough space to install all required packages into + the cloud image. ONAP on Kubernetes @@ -166,10 +199,9 @@ with all components except DCAE running on Kubernetes, and DCAE running separate For Arm architectures, specialized Docker images are being developed to provide Arm architecture binary compatibility. -The goal for the first release of Auto is to use an ONAP instance where DCAE also runs on Kubernetes, -for both architectures. +The goal for Auto is to use an ONAP instance where DCAE also runs on Kubernetes, for both architectures. -The ONAP reference for this installation is detailed `here <https://wiki.onap.org/display/DW/ONAP+on+Kubernetes>`_. +The ONAP reference for this installation is detailed `here <http://onap.readthedocs.io/en/latest/submodules/oom.git/docs/oom_user_guide.html>`_. Examples of manual steps for the deploy procedure are as follows: @@ -223,7 +255,8 @@ Test Case software installation and execution control Installation health-check ========================= -<TBC; the Auto installation will self-check, but indicate here manual steps to double-check that the installation was successful> +<TBC; the Auto installation will self-check, but indicate here manual steps to double-check that the +installation was successful> |