1.8.0

Upgrade to v1.1

This guide covers upgrading Orchestrator deployments from v1.0 to v1.1.

First, read through Installing Orchestrator to familiarize yourself with the installation steps. If you want to perform an online upgrade (i.e. no downtime on NMS), this guide will walk you through the process of concurrently deploying the 1.1.0 version of Orchestrator and NMS to your EKS cluster. You can flip your DNS records to the new application whenever you feel comfortable to complete the migration.

This guide will assume that you've already set up all the prerequisites, including developer tooling, a Helm chart repository, and a container registry.

Create a New Root Module

First, create a new directory somewhere to store your new root Terraform module for the 1.1.x deployment. We have an example root module at https://github.com/magma/magma/tree/v1.1/orc8r/cloud/deploy/terraform/orc8r-helm-aws/examples/online-upgrade that we recommend you use for the upgrade. Copy all the files to your new directory and change the source attribute of both modules in main.tf to github.com/facebookincubator/magma//orc8r/cloud/deploy/terraform/orc8r-aws and github.com/facebookincubator/magma//orc8r/cloud/deploy/terraform/orc8r-helm-aws, respectively.

Once you've got this root module set up and your variables defined, run terraform init in this directory.

Migrate Old Terraform State

In the following instructions, OLDTF refers to the directory where you put your existing root Terraform module and its state files, and NEWTF refers to the directory where you put your new root Terraform module. If you are storing your Terraform state remotely, remember to terraform pull before running terraform state mv.

Your new Terraform root module needs to know about the infrastructure components that you created for v1.0 so it doesn't create new copies. Terraform has a useful utility terraform state mv that can help accomplish this:

cd OLDTF
terraform state mv -state-out=NEWTF/terraform.tfstate 'module.vpc' 'module.orc8r.module.vpc'
terraform state mv -state-out=NEWTF/terraform.tfstate 'aws_security_group.default' 'module.orc8r.aws_security_group.default'
terraform state mv -state-out=NEWTF/terraform.tfstate 'aws_ebs_volume.prometheus-ebs-eks' 'aws_ebs_volume.prometheus-ebs-eks'
terraform state mv -state-out=NEWTF/terraform.tfstate 'aws_ebs_volume.prometheus-configs-ebs-eks' 'aws_ebs_volume.prometheus-configs-ebs-eks'
terraform state mv -state-out=NEWTF/terraform.tfstate 'aws_iam_policy.worker_node_policy' 'aws_iam_policy.worker_node_policy'
terraform state mv -state-out=NEWTF/terraform.tfstate 'aws_db_instance.default' 'module.orc8r.aws_db_instance.default'
terraform state mv -state-out=NEWTF/terraform.tfstate 'aws_db_instance.nms' 'module.orc8r.aws_db_instance.nms'
terraform state mv -state-out=NEWTF/terraform.tfstate 'module.eks' 'module.orc8r.module.eks'
terraform state mv -state-out=NEWTF/terraform.tfstate 'data.template_file.metrics_userdata' 'data.template_file.metrics_userdata'

If you added any custom components to your v1.0 root Terraform module, you should copy the resource blocks over to your new root module and use terraform state mv to let Terraform know that they already exist.

Migrate Secrets

One change we've made in the v1.1 installation procedure is to store all the application certificates in AWS Secretsmanager instead of on-disk in the secrets sub-chart. Simply copy your old application secrets (which probably live under the secrets orc8r subchart as a .secrets directory) to a new temporary location on disk.

Then, update the application certs to include 2 new components (replace YOURDOMAIN.COM with the domain you've reserved for Orchestrator):

cd MYSECRETS/certs
openssl genrsa -out fluentd.key 2048
openssl req -x509 -new -nodes -key fluentd.key -sha256 -days 3650 \
    -out fluentd.pem -subj "/C=US/CN=fluentd.YOURDOMAIN.COM"

Define Terraform Variables

The variables that you can define in your vars.tfvars are documented in the README.md in your new root Terraform module. In addition to vars.tfvars, if you changed the default worker node configuration for your EKS cluster when deploying v1.0, update that accordingly in main.tf. Most of this configuration should match your v1.0 Terraform - we are aiming for a smooth import of existing components.

Importantly, seed_certs_dir needs to point the the certs subdirectory inside the temporary secrets directory you created above. At this point it is actually safe to trash the other subdirectories (envdir and configs).

If you changed the EKS worker group configuration in your v1.0 deployment, also update eks_worker_groups in main.tf to match.

Initial Terraform

terraform plan -target=module.orc8r -var-file=vars.tfvars

Pay VERY close attention to the output of the plan to make sure that nothing unexpected is getting deleted. If you have any questions about Terraform's proposed plan, please drop us a question on the mailing list and we can take a look. A misconfiguration could result in downtime or some complicated recovery procedures.

For reference, our Terraform plan for this step ended up with:

Plan: 21 to add, 5 to change, 5 to destroy.

with Elasticsearch enabled. The 5 to change/destroy were mostly launch configurations for the EKS worker groups. If you find yourself with something dramatically different, check over your vars.tfvars to make sure everything lines up with your v1.0 Terraform configuration.

Most importantly, you should triple check that there is nothing related to RDS in the plan (aws_db_instance resources). All the application components are stateless so any mistakes while updating the EKS cluster are recoverable, but if you drop your RDS database instances you could end up with unrecoverable data loss.

When you are convinced that your new Terraform module won't break anything:

terraform apply -target=module.orc8r -var-file=vars.tfvars

Application Terraform

We will deploy the v1.1 application concurrently with the v1.0 application, just in a different namespace and under a different Helm deployment name. At this point, the deployment procedure is pretty much like the from-scratch installation:

$ terraform apply -target=module.orc8r-app.null_resource.orc8r_seed_secrets -var-file=vars.tfvars

Apply complete! Resources: 1 added, 0 changed, 0 destroyed.

$ terraform apply -var-file=vars.tfvars

Apply complete! Resources: 16 added, 0 changed, 0 destroyed.

At this point, you should see all the v1.1 application pods in the namespace that you chose for the upgraded deployment.

Data Migrations

We updated the DB schemas for a few services since v1.0. You'll have to run a pair of manual migrations to migrate the data. These scripts are idempotent and will not affect the v1.0 deployment.

# Replace orc8r with your v1.1 k8s namespace if you changed the name
$ export CNTLR_POD=$(kubectl --namespace orc8r get pod -l app.kubernetes.io/component=controller -o jsonpath='{.items[0].metadata.name}')
$ kubectl --namespace orc8r exec -it ${CNTLR_POD} bash

(pod)$ cd /var/opt/magma/bin
(pod)$ ./m005_certifier_to_blobstore -verify

... 149 main.go:49] BEGIN MIGRATION
... 149 datastore_to_blobstore.go:136] [RUN] INSERT INTO certificate_info_blobstore (network_id,type,"key",value,version) SELECT ('placeholder_network') AS network_id, ('certificate_info') AS type, "key", value, generation_number FROM certificate_info_db
... 149 datastore_to_blobstore.go:84] SUCCESS
... 149 main.go:53] END MIGRATION
... 149 main.go:85] [manually verify] serial number count: 42
... 149 main.go:97] [manually verify] key-value pair: {key: REDACTED, value: id:<gateway:<hardware_id:"redacted-1234-1234-1234-redacted" > > not_before:<seconds:42 nanos:42 > not_after:<seconds:42 nanos:42 > }
...

(pod)$ ./m008_accessd_to_blobstore -verify

... 156 main.go:49] BEGIN MIGRATION
... 156 datastore_to_blobstore.go:136] [RUN] INSERT INTO access_control_blobstore (network_id,type,"key",value,version) SELECT ('placeholder_network') AS network_id, ('access_control') AS type, "key", value, generation_number FROM access_control
... 156 datastore_to_blobstore.go:84] SUCCESS
... 156 main.go:52] END MIGRATION
... 156 main.go:85] [manually verify] number of operators: 1
... 156 main.go:97] [manually verify] operator-acl pair: {operator: operator:"admin_operator" , acl: operator:<operator:"admin_operator" > entities:<key:"Id_Wildcard_Gateway" value:<id:<wildcard:<> > permissions:3 > > entities:<key:"Id_Wildcard_Network" value:<id:<wildcard:<type:Network > > permissions:3 > > entities:<key:"Id_Wildcard_Operator" value:<id:<wildcard:<type:Operator > > permissions:3 > > }

These 2 CLIs will spit out a few records from the migrated tables as output. Verify that the Go structs in the output don't have all zeroed values as a sanity check. The exact count of migrated records will differ depending on your specific deployment but it should be nonzero for both commands.

First-Time NMS Setup

With the new multi-tenancy support in the NMS introduced in v1.1 you have to create a new admin user in the master organization to set up access for other tenants:

kubectl --namespace orc8r exec -it \
    $(kubectl --namespace orc8r get pod -l app.kubernetes.io/component=magmalte -o jsonpath='{.items[0].metadata.name}') -- \
    yarn setAdminPassword master ADMIN_USER_EMAIL ADMIN_USER_PASSWORD

When you flip DNS over to the services in the v1.1 namespace, you'll be able to set up access for your NMS tenants at https://master.nms.yourdomain.com.

You will have to reprovision accounts for your existing users using organizations as the old nms.yourdomain.com URL will no longer resolve to the NMS. If you have a lot of users to migrate, you can do this using SQL directly on the backing NMS MySQL database but you may find it simpler to create new accounts for all your existing users in the frontend instead.

See the NMS user guides to understand how to set up tenants and users in the new NMS.

Migrating Timeseries Data and Configuration

We used an EBS volume mounted to a specific worker node to persist Prometheus configuration and data in 1.0. In v1.1 we are now using PersistentVolume and EFS to store this data so we can align with the "no pets" philosophy of k8s.

This does mean that if you want to keep your timeseries data from v1.0, you'll have to migrate it by hand to the v1.1 EFS volume. We don't have an exact guide for you to follow, but if you really want to keep this data, we successfully migrated our old timeseries data with this procedure:

  1. kubectl scale the Prometheus pods in both namespaces to 0
  2. Attach and mount the EFS volume for Prometheus data in v1.1 to the metrics EC2 worker node in the EC2 console or using the aws CLI on the node
  3. SSH into the metrics EC2 worker node then rsync the Prometheus data from the EBS volume (mounted at /prometheusData) to the EFS volume
  4. kubectl scale the Prometheus pods back up to 1 in both namespaces

We observed a transfer rate around 3MB/sec with this procedure. You will lose timeseries data for the duration of the data transfer.

If you've created a nontrivial number of alerts using the NMS, you can also migrate those manually over to the new namespace. Use kubectl cp to move all the files under /etc/alertmanager of the orc8r-alertmanager pod in 1.0 to your local host then up to the same directory of the same pod in the 1.1 namespace. You may find it more straightforward to recreate all the alerts in the frontend instead.

Flipping the Switch

The v1.0.x LTE AGWs are compatible with the v1.1 Orchestrator, so you can simply swap your DNS records over to the new application. If things don't look good, just change the DNS records back.

An important change we made in 1.1 was using AWS Route53 to automatically resolve DNS to appropriate k8s services. So instead of CNAME records in your registrar for your domain/subdomain, use NS records instead and set the list of nameservers to the nameservers output from the root Terraform module. Because NS records don't support wildcards, you'll have to add new records for the following subdomains:

  • master.nms. to access the admin UI to create and manage NMS tenants
  • <tenant>.nms. for each of your tenants (replace <tenant> with the organization ID you set up in the NMS)

You can also remove the old CNAME record for the nms. subdomain, that will no longer resolve to the application (all access must be through an organization).

See the NMS user guides to understand how to set up tenants in the new application.

Cleaning Up

When you are satisfied with your v1.1 deployment and you've upgraded all your LTE AGW's in the field, you can safely purge and clean up the old v1.0 components.

To delete the v1.0 application components, helm delete --purge <name>. You can safely kubectl delete namespace <name> after this (make sure you pick the namespace that you used for v1.0, not v1.1).

For the online upgrade we spun up new worker nodes to handle the extra load of deploying 2 application versions at the same time. You can scale your EKS worker groups back down once you purge the legacy deployment. Since we are using only cattle in v1.1, you can delete the extra kubelet args and the custom metrics userdata as well. For a deployment handling up to 100 LTE AGWs, 3x t3.large instances will do the job just fine.

You can safely delete all the Terraform resources in legacy.tf at this point as well. After this, your root Terraform module should look a lot like examples/basic in the orc8r-helm-aws Terraform module in Magma.

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