Deploy PhoenixAI and the Anywhere console

This page walks through one complete installation, in order, with a check after every step. It assumes you have never used Helm and know only that Kubernetes is "the thing our cluster runs on". Every command can be copied as-is once you have filled in the values file in Step 3.

What you have at the end

• a PhoenixAI cluster in elastic (shared-data) mode — 3 coordinators and 1 compute node — storing its data in your object-storage bucket;
• the PhoenixAI operator, which keeps that cluster running;
• the PhoenixAI Anywhere console in your browser, already showing that cluster.

How long it takes. About 45 minutes of reading and typing the first time, of which roughly 10 minutes is waiting for pods to start. Most of the elapsed time goes into gathering the prerequisites and Step 1 — collecting credentials from other people. Nothing here is undone by repeating it: a corrected values file is re-applied with the same command (helm upgrade --install).

Already comfortable with Kubernetes?

If you want the fastest possible end-to-end install on a laptop instead, use Quick start with Amazon S3 or Quick start with MinIO. They cover the same ground in fewer words and assume you can fill in the gaps.

Before you start

Prerequisites lists what you must have in hand and the five checks worth running first. This page assumes you have been through it.

What you are installing

Four pieces, installed by one command. It is worth 60 seconds to get the picture straight, because these names show up in every later step.

Piece	What it does
PhoenixAI operator	A small program that runs inside Kubernetes and builds, repairs and scales PhoenixAI clusters for you. You never talk to it directly.
PhoenixAI cluster	The database itself: coordinators (FE — accept SQL, plan queries, hold metadata) and compute nodes (CN — do the work). In elastic mode the table data lives in your bucket, not on the nodes.
PhoenixAI Anywhere console	The web UI: cluster inventory, health checks, monitoring, license and usage, support bundles, plus a per-cluster view for the people who write queries.
Warehouse (optional, later)	An extra, separately scalable group of compute nodes. Not part of this page — see Deploy a Warehouse.

How those map to charts. kube-anywhere is a single chart wrapping three subcharts — operator, phoenixai, and anywhere, the console, which is included when you set anywhere.enabled=true. Installing kube-anywhere installs all of them, and uninstalling it removes what it installed. If you would rather manage the operator and the cluster on their own schedules, operator and phoenixai can be installed separately instead. Warehouses come from a chart of their own, phoenixai/warehouse. The chart has been split this way since v1.8.0.

And the four words from Helm and Kubernetes that this page uses:

Word	Meaning here
namespace	A folder inside the Kubernetes cluster that keeps one installation's objects together. This page uses phoenixai.
pod	One running container (or a small group of them). A coordinator is a pod; the console is a pod.
StorageClass	The cluster's recipe for handing out disks. Coordinators, compute nodes and the console each ask for one. If the recipe does not work, pods sit in Pending forever, so the prerequisites have you pick a working one.
chart / values file / release	A chart is a package (kube-anywhere is ours). A values file is your settings for it — one YAML file you keep and reuse. A release is one installation of a chart, under a name you pick.

Object names do not follow your release name

The objects created below are called kube-anywhere-fe-0, kube-anywhere-console, and so on, no matter what you name the release. The prefix comes from the chart, not from your helm install command. Step 4 has a table of every name, so you can always find things.

Decisions you cannot undo

Four of the settings you write in Step 3 are fixed when the cluster is created. Changing any of them afterwards means building a new cluster and moving the data across, so they are worth deciding now rather than meeting later.

Decision	Written as	Why it is fixed
The database root password	initPassword	The chart can set it on a first install only. A later helm upgrade cannot, so a cluster installed without one keeps an open root account until somebody changes it by hand.
The bucket, its region and path	phoenixAIFeSpec.config	cloud_native_storage_type and the aws_s3_* settings are immutable coordinator configuration. A different bucket is a different cluster.
The StorageClass for the node disks	storageSpec.storageClassName	A StatefulSet's volume claims cannot be edited after it is created. Disk sizes can still be grown later — but only if the class you pick sets allowVolumeExpansion: true, so this choice decides whether growing is possible at all.
Whether names are case-sensitive	phoenixAIFeSpec.config	enable_table_name_case_insensitive is, in the product's own words, "Only configurable during cluster initialization, immutable once set." Left alone, catalog, database and table names are case-sensitive.

run_mode = shared_data is fixed at creation too, but it is not a decision: Anywhere operates elastic clusters only, so leave that line as Step 3 writes it.

Step 1 — Get the images, and teach Kubernetes to pull them

The operator, coordinator, compute-node and console images are enterprise builds in a private registry. Kubernetes therefore needs credentials, stored as a Kubernetes secret. Without them every pod fails with ImagePullBackOff — the most common first-install failure of all.

1. Request access. Ask your PhoenixAI account team for access to the PhoenixAI container image registry, and for the image versions that match your release. The images live in Google Artifact Registry, and access reaches you in one of two shapes. Ask which one you are getting — the answer decides whether you touch Google Cloud at all.

Shape A — they send you a key file. The account that may read the registry belongs to PhoenixAI, so only PhoenixAI can issue a key for it. You receive one JSON file and there is nothing for you to do in Google Cloud. Save it somewhere your install machine can read, keep it out of version control, and go to substep 2.

Shape B — they grant an account of yours. Use this when your organization would rather hold its own credential. It needs a Google Cloud project of your own, and permission in that project to create service-account keys (the Service Account Key Admin role). Create the account, send its address to your account team, and issue the key yourself once they confirm the grant:

# 1. create a service account in YOUR project
gcloud iam service-accounts create phoenixai-puller \
  --project=<your-gcp-project> \
  --display-name="Pulls PhoenixAI images"

# 2. send this address to your PhoenixAI account team and wait for them to
#    confirm they granted it read access to the registry
echo "phoenixai-puller@<your-gcp-project>.iam.gserviceaccount.com"

# 3. issue the key file
gcloud iam service-accounts keys create phoenixai-puller.json \
  --iam-account=phoenixai-puller@<your-gcp-project>.iam.gserviceaccount.com

The read permission itself (Artifact Registry Reader, on PhoenixAI's registry) is granted on the PhoenixAI side — you cannot grant it to yourself, which is why step 2 above is a wait.

Either way, what you hold at the end is one JSON key file, and the rest of this page is identical.

2. Create the namespace:

kubectl create namespace phoenixai

3. Create the secret. For Google Artifact Registry two of the three fields are fixed, so only the path to your key file changes:

kubectl -n phoenixai create secret docker-registry phoenixai-registry \
  --docker-server=us-west1-docker.pkg.dev \
  --docker-username=_json_key \
  --docker-password="$(cat <path-to-your-key-file>.json)"

• us-west1-docker.pkg.dev is the registry host — the part before the first / in the image.repository values this chart ships. If your account team points you at a different region, use the host they give you.
• _json_key is not a placeholder. It is the literal user name Google Artifact Registry expects when the password is the contents of a service-account key file. Type it exactly.
• The password is the whole JSON file, which is what $(cat ...) passes in — not a field from inside it.

4. Confirm it exists:

kubectl -n phoenixai get secret phoenixai-registry

Two things people get wrong here

The secret is per namespace. It must live in the same namespace as the install. A secret in default does nothing for pods in phoenixai.

You must reference it in three places in the values file — once for the operator, once for the cluster's components, once for the console. They are separate components with separate settings, so naming it once is not enough. Step 3 marks all three. A warehouse, added later, needs a fourth reference in its own values file.

The credentials have to keep working, not just work once

The operator's image is re-fetched every time its pod starts, so an expired or deleted secret breaks a restart weeks after a successful install. Rotate the secret in place — kubectl -n phoenixai delete secret phoenixai-registry followed by the same create secret command — rather than letting it lapse.

Why a key file, and not a user name and password

Google Artifact Registry has no user name and password credential of its own. It accepts exactly four things, and only one of them suits a long-running Kubernetes cluster:

What Google accepts	Docker user name	Password	Usable here?
Service-account key file	_json_key	the whole JSON file	Yes — what this page uses
The same file, base64-encoded	_json_key_base64	that base64 text	Yes, if that is the form you were given
Short-lived access token	oauth2accesstoken	gcloud auth print-access-token output	Only with automation — it expires after 60 minutes
gcloud credential helpers	—	—	No — they authenticate docker on a workstation; Kubernetes reads a Secret, not your gcloud session

So the fixed strings above are not our convention, they are Google's: _json_key is what tells Artifact Registry that the password is a key file.

If your security policy forbids long-lived keys, there are two ways out:

• Short-lived tokens. Same command with --docker-username=oauth2accesstoken and --docker-password="$(gcloud auth print-access-token)". The token dies after an hour, so something has to recreate the Secret on a schedule — reasonable if you already run such automation, painful otherwise, and a pod that restarts after the token expired cannot pull.

• Mirror the images into a registry you already run — what most organizations with a strict policy end up doing. Pull the four images once, push them to your own registry, then in your values file override image.repository for the operator, the cluster components and the console, and create the pull secret for your registry instead. That registry may well accept a plain user name and password, in which case create secret docker-registry takes exactly that:

  kubectl -n phoenixai create secret docker-registry phoenixai-registry \
    --docker-server='<your-registry-host>' \
    --docker-username='<user-name>' \
    --docker-password='<password>'

  Mirroring also removes the install's dependency on reaching the internet, which matters in a restricted network.

Step 2 — Get the chart

The chart reaches you one of two ways, and the next step is the same either way. Look first:

helm repo add phoenixai https://celerdata.github.io/phoenixai-kubernetes-operator
helm repo update phoenixai
helm search repo phoenixai

A repository that carries your release prints five charts — kube-anywhere and the subcharts it is built from:

NAME                       CHART VERSION    APP VERSION  DESCRIPTION
phoenixai/kube-anywhere    2.0.0            4.1-latest   kube-anywhere includes three subcharts, operato...
phoenixai/operator         2.0.0            2.0.0        A Helm chart for PhoenixAI operator
phoenixai/phoenixai        2.0.0            4.1-latest   A Helm chart for PhoenixAI cluster
phoenixai/anywhere         2.0.0            v2.0.0       A Helm chart for PhoenixAI Anywhere — a read-on...
phoenixai/warehouse        2.0.0            4.1-latest   Warehouse is currently a feature of the Phoenix...

The versions above are only an example. Use whichever your own command prints, and name them explicitly in Step 4 — that is what makes the install reproducible.

If the list includes phoenixai/kube-anywhere, you are done with this step and you install from the repository in Step 4.

If it does not, your release has not been published to that repository yet, and your account team gives you the chart as a package file (kube-anywhere-<version>.tgz) instead. Save it next to your values file; Step 4 shows the one line that differs.

What each of those five is:

Chart	Installs
phoenixai/kube-anywhere	The operator and a cluster, plus the console when anywhere.enabled=true. What this page uses
phoenixai/operator	The operator on its own
phoenixai/phoenixai	A cluster on its own
phoenixai/anywhere	The console on its own, alongside an operator you install and manage separately. It is the same chart kube-anywhere pulls in, so through kube-anywhere its values carry the anywhere. prefix and here they do not
phoenixai/warehouse	A warehouse for an existing cluster

Every value each of them accepts is documented in a README.md that travels inside the chart, so you can read it without leaving the terminal: helm show readme phoenixai/kube-anywhere prints it, and helm show values phoenixai/kube-anywhere prints the annotated defaults. Both work for any of the five names above.

Do not substitute a chart that merely looks similar

The repository also carries older charts from the previous product generation, with names like celerdata and kube-celerdata. They are a different, earlier product — not this one under another name, and not a fallback. If kube-anywhere is absent, ask your account team for the package file; do not install kube-celerdata instead.

Step 3 — Set the root password, and write your values file

First, decide the database root password. PhoenixAI's root user starts with no password, and the chart can set one for you — but only during this first install. A later helm upgrade cannot, so a cluster installed without it keeps an open root account until someone changes it by hand.

Put the password in a Secret rather than in your values file, so it stays out of the file and out of what helm get values prints:

kubectl -n phoenixai create secret generic phoenixai-root-password \
  --from-literal=password='<root-password>'

The values file below then points at that Secret. (Plaintext in the values file also works — see Initialize Root Password When First Deploy for both forms.)

Then write the values file. This is the only file you author, and the only step that needs thought. Save it as my-values.yaml, keep it — you will reuse it for every upgrade — and treat it as sensitive, since it holds your storage keys.

Replace every <...> placeholder; the table after the file says where each one comes from.

# my-values.yaml

# ----------------------------------------------------------------------------
# The operator
# ----------------------------------------------------------------------------
operator:
  phoenixAIOperator:
    # (1 of 3) Pull the operator image.
    imagePullSecrets:
      - name: phoenixai-registry
    # The version your account team named. See the note under this file.
    image:
      tag: "<operator-image-tag>"
    # The console reads everything through this API. Leave it on, or the console
    # installs successfully and then shows no clusters at all.
    enableApiServer: true
    # Manage only this namespace. Also keeps the install's permissions
    # namespace-scoped instead of cluster-wide.
    watchNamespace: "phoenixai"

# ----------------------------------------------------------------------------
# The PhoenixAI cluster
# ----------------------------------------------------------------------------
phoenixai:
  # Set the database root password from the Secret created above. This works on
  # a first install only — a later helm upgrade cannot set it, so leaving it off
  # now means the cluster keeps an open root account.
  initPassword:
    enabled: true
    passwordSecret: phoenixai-root-password

  phoenixAICluster:
    enabledCn: true
    # Report the release as ready only once the cluster has fully rolled out.
    waitForFullRollout: true
    componentValues:
      # (2 of 3) Pull the coordinator and compute-node images.
      imagePullSecrets:
        - name: phoenixai-registry
      # The database version your account team named. Setting it here covers
      # both coordinators and compute nodes. If you ever set an `image` block
      # inside phoenixAIFeSpec or phoenixAICnSpec instead, give repository and
      # tag together there: a component's own image block replaces this one
      # wholesale rather than merging into it.
      image:
        tag: "<database-image-tag>"

  # Coordinators (FE)
  phoenixAIFeSpec:
    replicas: 3
    resources:
      requests: { cpu: 500m, memory: 2Gi }
      limits: { cpu: 2, memory: 4Gi }
    storageSpec:
      name: fe-storage
      # Always name a class explicitly. An empty value is rejected by the
      # configuration schema, not defaulted.
      storageClassName: "<storage-class>"
      storageSize: 20Gi
      logStorageSize: 5Gi
    config: |
      LOG_DIR = ${STARROCKS_HOME}/log
      JAVA_OPTS="-Dlog4j2.formatMsgNoLookups=true -Xmx3072m -XX:+UseG1GC"
      http_port = 8030
      rpc_port = 9020
      query_port = 9030
      edit_log_port = 9010
      # ---- These lines are what make it an elastic (shared-data) cluster. ----
      # The Anywhere console operates elastic clusters only, and the mode cannot
      # be changed after the cluster is created. Do not remove them.
      run_mode = shared_data
      cloud_native_meta_port = 6090
      cloud_native_storage_type = S3
      enable_load_volume_from_conf = true
      aws_s3_path = <bucket>/data
      aws_s3_region = <region>
      aws_s3_endpoint = s3.<region>.amazonaws.com
      aws_s3_access_key = <access-key>
      aws_s3_secret_key = <secret-key>
      aws_s3_use_aws_sdk_default_behavior = false
      # Catalog, database and table names are case-sensitive unless this is turned
      # on, and it can only be set now — see "Decisions you cannot undo" above.
      # enable_table_name_case_insensitive = true

  # Compute nodes (CN)
  phoenixAICnSpec:
    replicas: 1
    resources:
      requests: { cpu: 500m, memory: 2Gi }
      limits: { cpu: 2, memory: 4Gi }
    storageSpec:
      name: cn-storage
      storageClassName: "<storage-class>"
      storageSize: 20Gi
      logStorageSize: 5Gi
    config: |
      sys_log_level = INFO
      thrift_port = 9060
      webserver_port = 8040
      heartbeat_service_port = 9050
      brpc_port = 8060
      datacache_enable = true
      datacache_mem_size = 5%
      # Must be greater than zero in elastic mode, or CREATE TABLE fails with
      # "no valid cache space".
      datacache_disk_size = 4294967296

# ----------------------------------------------------------------------------
# The Anywhere console
# ----------------------------------------------------------------------------
anywhere:
  # The console is off by default, because it needs object storage of its own.
  enabled: true
  # (3 of 3) Pull the console image.
  imagePullSecrets:
    - name: phoenixai-registry
  # The console version your account team named.
  image:
    tag: "<console-image-tag>"

  # Where the operator's API lives. This default matches the install above; it
  # needs changing only if you renamed the operator's resources.
  operatorApiAddrs:
    - "kube-anywhere-operator-api:9090"
  # The namespaces holding the clusters this console serves. Must include the
  # namespace above; also keeps the console's permissions namespace-scoped.
  watchNamespaces:
    - "phoenixai"

  persistence:
    storageClass: "<storage-class>"
    size: 10Gi

  dependencies:
    # The console keeps large artifacts — query profiles and support bundles —
    # in object storage. It verifies this at startup with a write, a read and a
    # delete, so a wrong value here stops the console from starting instead of
    # failing quietly much later.
    s3:
      bucket: "<bucket>"
      # A key prefix of its own, so one bucket can hold both the cluster's data
      # (under data/ above) and the console's artifacts.
      path: "anywhere"
      region: "<region>"
      endpoint: "https://s3.<region>.amazonaws.com"
      accessKey: "<access-key>"
      secretKey: "<secret-key>"
      # Leave false for Amazon S3. Self-hosted S3-compatible storage such as
      # MinIO usually needs true.
      usePathStyle: false

Placeholder	Where it comes from
<storage-class>	kubectl get storageclass — see Prerequisites
<bucket>, <region>	your bucket. The same bucket serves the cluster (data/) and the console (anywhere/); nothing else in it is touched
<access-key>, <secret-key>	a key pair that can read and write that bucket
<operator-image-tag>, <database-image-tag>, <console-image-tag>	the three versions your account team named — see the note below
phoenixai-registry	the secret from Step 1. If you named it differently, change all three references
phoenixai-root-password	the Secret created at the start of this step

Ask for the three image tags, and set them

The chart carries a default tag for each component, but a default only resolves once that exact version has been published to the registry. Ask your account team for the operator, database and console versions that go with your release, and write all three into the file. If a tag names an image the registry does not hold, the pod fails with ImagePullBackOff even though your credentials are correct — and the message says nothing about a missing version, so it is easy to spend an hour re-checking the pull secret instead.

Naming the versions you were given is also what makes the install reproducible: the same values file brings up the same cluster next month.

Elastic mode is decided now, not later

run_mode = shared_data and the aws_s3_* lines under it are what create an elastic cluster. A cluster created without them is a classic cluster: the console will list it, but every console feature refuses to operate on it, and the mode cannot be switched afterwards — the cluster has to be recreated. If you change nothing else in this file, keep that block.

The dependencies: block above has a prometheus: section beside s3:, left out here to keep the path short. It is worth adding: until it is wired, the console's monitoring views stay empty and a support bundle's metrics snapshot comes back with no data — Step 7 says what else that costs. Adding it later is an edit to this same file and the Step 4 command again, not a reinstall. See Deploy Prometheus and Grafana and Anywhere Console monitoring.

Step 4 — Install

From the chart repository:

helm upgrade --install kube-anywhere phoenixai/kube-anywhere \
  --namespace phoenixai -f my-values.yaml

Or, if Step 2 left you with a package file, point at the file instead — nothing else changes:

helm upgrade --install kube-anywhere ./kube-anywhere-<version>.tgz \
  --namespace phoenixai -f my-values.yaml

upgrade --install is deliberate: the same command installs the first time and applies every later change, so there is only one command to remember.

Watch the pods appear:

kubectl -n phoenixai get pods -w

Expect the operator, the console and a short-lived password job within seconds, then the coordinators one at a time (kube-anywhere-fe-0, -1, -2), then the compute node once a coordinator can accept it. Measured on an idle single-node cluster pulling the database images over the network for the first time: everything settled in five minutes, of which about 20 seconds was the image download. Press Ctrl+C to stop watching. The finished state:

NAME                                      READY   STATUS      RESTARTS        AGE
kube-anywhere-cn-0                        1/1     Running     0               2m41s
kube-anywhere-console-0                   1/1     Running     0               4m55s
kube-anywhere-fe-0                        1/1     Running     0               4m53s
kube-anywhere-fe-1                        1/1     Running     0               3m43s
kube-anywhere-fe-2                        1/1     Running     0               2m54s
kube-anywhere-initpwd-gr8n6               0/1     Completed   4 (3m53s ago)   4m55s
kube-anywhere-operator-6d554cb5b9-8c648   1/1     Running     0               4m55s

kube-anywhere-initpwd-... looks broken before it succeeds

That pod is the one-off job that sets the root password from Step 3. It starts immediately, while the coordinators are still booting, so its first attempts cannot connect and it shows Error with a climbing restart count for a minute or two. That is the retry working, not a failure. It ends as Completed — the run above took four attempts — and kubectl -n phoenixai get job then reports Complete 1/1. A pod stuck in Error long after the coordinators are Running is worth reading: kubectl -n phoenixai logs job/kube-anywhere-initpwd.

Anything not Running after a few minutes has a reason worth reading rather than waiting out:

kubectl -n phoenixai get pods
kubectl -n phoenixai describe pod <pod-name> | tail -25

Take the Events at the bottom to Troubleshooting.

Here is what everything is called — remember that the names come from the chart, not from your release name:

What	Kubernetes object
operator	Deployment kube-anywhere-operator
the API the console reads	Service kube-anywhere-operator-api
the cluster, as one object	phoenixaicluster/kube-anywhere
coordinators	pods kube-anywhere-fe-0 … -2
compute node	pod kube-anywhere-cn-0
console	pod kube-anywhere-console-0, Service kube-anywhere-console
console sign-in accounts	Secret kube-anywhere-console-admin
the console's own disk	PersistentVolumeClaim data-kube-anywhere-console-0

Step 5 — Check the cluster is really up

Ask the operator for its own summary:

kubectl -n phoenixai get phoenixaicluster

NAME            PHASE     FESTATUS   CNSTATUS   FEPROXYSTATUS
kube-anywhere   running   running    running

FEPROXYSTATUS stays empty — the optional FE proxy is not part of this install.

Then ask the database itself. This runs a MySQL client inside a coordinator, so you need nothing installed locally. Use the root password you set in Step 3 — the password follows -p with no space between them:

kubectl -n phoenixai exec -it kube-anywhere-fe-0 -- \
  mysql -h127.0.0.1 -P9030 -uroot -p'<root-password>' -e "SHOW FRONTENDS\G SHOW COMPUTE NODES\G SHOW WAREHOUSES\G"

Three things to confirm:

• SHOW FRONTENDS lists three rows with Alive: true;
• SHOW COMPUTE NODES lists your compute node with Alive: true;
• SHOW WAREHOUSES lists default_warehouse. This is also your proof that the cluster is elastic, because warehouses exist only in elastic mode. If the statement errors instead, the run_mode block did not take effect — see the console lists the cluster but every page says it is not supported.

Why that command also works if you forget the password

A connection made inside a coordinator's container over 127.0.0.1 is exempt from the root password — SELECT user() there reports 'root'@'127.0.0.1'. Succeeding here is therefore not proof that Step 3 took effect, and dropping the -p shows nothing unusual.

The password is enforced on every path that arrives from outside that container. To see it, connect through the cluster's Service from anywhere else: with no password the answer is ERROR 1045 (28000): Access denied for user 'root' (using password: NO), and a wrong password is refused the same way.

Step 6 — Open the console

The console is an ordinary web service inside the cluster. The quickest way to reach it from your own machine is to forward its port:

kubectl -n phoenixai port-forward svc/kube-anywhere-console 8090:8090

Leave that running, and in a second terminal confirm the service answers:

curl -s localhost:8090/api/v1/health
# {"code":20000,"data":{"status":"ok"}}

Read the administrator password the chart installed:

kubectl -n phoenixai get secret kube-anywhere-console-admin \
  -o jsonpath='{.data.admin}' | base64 -d; echo

Open http://localhost:8090 and sign in as admin with that password. The cluster list should show kube-anywhere in the phoenixai namespace, reported as elastic. If the list is empty, see the console shows no clusters.

Change this password before anyone else can reach the console

If the command above printed a long random string, that password was generated for your installation alone and is already private to it.

If it printed something short and guessable — admin, for instance — your chart version installed a well-known default, and anyone who can reach the console can sign in as an administrator. Replace it now, before you put an Ingress or a load balancer in front of the console. An administrator session is what gates the console's most sensitive actions, so treat this as the last required step of the install rather than as hardening you will get to later.

kubectl -n phoenixai patch secret kube-anywhere-console-admin \
  --type merge -p "{\"stringData\":{\"admin\":\"$(openssl rand -base64 24)\"}}"
kubectl -n phoenixai get secret kube-anywhere-console-admin \
  -o jsonpath='{.data.admin}' | base64 -d; echo

The new password works within about a minute, with no restart. You can also pick your own accounts at install time with anywhere.admin.users, or point the chart at a Secret you manage yourself with anywhere.admin.existingSecret.

Accounts live in that one Secret — one entry per user name. Add, remove or rotate them by editing it; changes take effect within about a minute and need no restart:

kubectl -n phoenixai edit secret kube-anywhere-console-admin

There is a second sign-in page, for the people who query the cluster rather than operate it, at http://localhost:8090/cluster-console/login. It takes a database user of the cluster itself — created with SQL inside PhoenixAI — not a console account. The two sign-ins are independent, and one browser can hold both at once.

Port forwarding is for you, not for your users

kubectl port-forward lasts only as long as the command runs, and only for the machine running it. To let colleagues reach the console, ask your Kubernetes administrator to put an Ingress or a load-balancing Service in front of the kube-anywhere-console Service. Terminate TLS there — inside the cluster the console speaks plain HTTP — and do not expose it to the public internet.

Step 7 — What to set up next

• Register your license. The console's health checks report a cluster that has no valid PhoenixAI Database license, so do this before judging a red result.
• Add a warehouse, if you want compute you can scale on its own: Deploy a Warehouse. Read its note about restarting the operator after the very first warehouse — without that the warehouse is never built, and nothing reports an error.
• Turn on monitoring. Nothing breaks without a Prometheus wired to Anywhere — a deployment that never has one is supported — but three things quietly stop working: the System Monitoring charts and the pod-utilization view stay empty, every cluster carries a standing warning in its health checks, and a support bundle's metrics snapshot comes back with no data in it. None of that announces itself at the time, which is the reason to do it early rather than when you next need a bundle. See Deploy Prometheus and Grafana, then Anywhere Console monitoring.
• Turn on query insights. Two switches, both in my-values.yaml: set anywhere.queryHistory.enabled: true, and add enable_collect_query_detail_info = true to the coordinator configuration — the same phoenixai.phoenixAIFeSpec.config block you already wrote. Then re-run the Step 4 command; the coordinators restart with the new configuration. The console's query-insights page names whichever of the two is still missing.
• Keep my-values.yaml. Every later change — a bigger disk, more compute nodes, a different password source — is an edit to that file followed by the same helm upgrade --install command from Step 4.

Troubleshooting

Match the symptom you actually see. kubectl -n phoenixai describe pod <pod-name> and kubectl -n phoenixai logs <pod-name> are the two commands behind nearly all of these; add --previous to logs when a pod has already restarted.

ImagePullBackOff or ErrImagePull

Kubernetes cannot download an image. In order of likelihood:

1. there is no pull secret in this namespace — go back to Step 1;
2. the secret exists, but in a different namespace: kubectl get secret --all-namespaces | grep phoenixai-registry;
3. the name in the values file does not match the secret's name;
4. it was referenced in only some of the three places, so some pods pull and others do not — which is why this often affects only part of the install;
5. the credentials are expired or lack read access — ask your account team to confirm.

kubectl -n phoenixai describe pod <pod-name> | tail -20 prints the registry's own refusal, which is what distinguishes "no credentials" from "credentials rejected".

A pod stays Pending

Nothing has started it yet. kubectl -n phoenixai describe pod <pod-name> | tail -25 names one of two causes:

• pod has unbound immediate PersistentVolumeClaims — a disk problem. Check kubectl -n phoenixai get pvc and kubectl -n phoenixai describe pvc <claim>. Usually the storageClassName does not exist (compare it against kubectl get storageclass), or the cluster has no working storage driver, which your administrator has to install.
• Insufficient cpu / Insufficient memory — no node has room. Lower replicas or the requests in your values file, or add capacity.

The console pod restarts over and over (CrashLoopBackOff)

Almost always object storage. The console verifies its bucket at startup by writing, reading and deleting one small object, and refuses to serve if that fails:

kubectl -n phoenixai logs kube-anywhere-console-0 --previous | tail -30

Check the bucket name, region, endpoint, keys, and usePathStyle — false for Amazon S3, usually true for self-hosted S3-compatible storage. Fix my-values.yaml and rerun the Step 4 command; the console restarts by itself when its settings change.

The console shows no clusters

The console reads clusters through the operator's API, so one of these three is wrong:

1. operator.phoenixAIOperator.enableApiServer is not true;
2. anywhere.operatorApiAddrs does not match the operator's API Service — confirm the Service exists with kubectl -n phoenixai get svc kube-anywhere-operator-api;
3. anywhere.watchNamespaces does not include the namespace the cluster is in.

The console lists the cluster but every page says it is not supported

The cluster is a classic cluster, not an elastic one. Confirm from the database side:

kubectl -n phoenixai exec -it kube-anywhere-fe-0 -- \
  mysql -h127.0.0.1 -P9030 -uroot -p'<root-password>' -e "ADMIN SHOW FRONTEND CONFIG LIKE 'run_mode'"

If that is not shared_data, the run_mode block in phoenixAIFeSpec.config was missing or edited away when the cluster was first created. The mode cannot be changed on an existing cluster: fix the values file, then uninstall and reinstall. Note that the coordinators' disks are deliberately kept on uninstall, so delete those claims too before reinstalling — see Uninstall and clean up.

CREATE TABLE fails with "no valid cache space"

datacache_disk_size is zero or missing on the compute nodes. It must be greater than zero in elastic mode.

The install fails on a CustomResourceDefinition conflict

A message like failed to install CRD ...: Apply failed with 1 conflict: conflict with "kubectl" means PhoenixAI's custom resource definitions are already in this Kubernetes cluster and were put there by something other than Helm — usually an earlier install from the YAML manifests, or another Helm release. The definitions are shared by the whole Kubernetes cluster, so the safe move is to leave them alone and tell Helm not to manage them:

helm upgrade --install kube-anywhere phoenixai/kube-anywhere \
  --namespace phoenixai -f my-values.yaml --skip-crds

Do this only when you know the existing definitions come from the same release version. If they are older, upgrade them deliberately first — see Upgrade the Operator.

A second install into the same Kubernetes cluster fails with "already exists"

Object names come from the chart, not from your release name, so a second kube-anywhere release in the same Kubernetes cluster collides on the cluster-scoped objects even when it uses a different namespace. Give the second install its own names with the nameOverride values, or see Deploy Multiple Clusters.

The install is rejected with a storageClassName type error

An empty storageClassName is not accepted. Name a real class from kubectl get storageclass.

Monitoring pages are empty

No Prometheus is configured. See Anywhere Console monitoring. The console also has an administrator dependency check that reports exactly which part of the wiring is missing.

The same gap empties the pod-utilization view and the metrics snapshot in a support bundle, so fix it before collecting a bundle for anything performance-related.

You lost the console password

It cannot be read back in plain text anywhere else, but it can be replaced: edit the kube-anywhere-console-admin Secret and set a new value for the admin key. The change applies within about a minute.

Uninstall and clean up

helm uninstall kube-anywhere --namespace phoenixai

Disks are kept on purpose, so that an accidental uninstall does not destroy data: the coordinators' metadata volumes, and the console's own volume data-kube-anywhere-console-0, which holds your usage records. Reinstalling under the same names adopts them again.

Remove them only when you mean it:

kubectl -n phoenixai get pvc
kubectl -n phoenixai delete pvc <claim-name>

An uninstall never empties the bucket. Delete the data/ and anywhere/ prefixes yourself if you are finished with the installation for good.

Where to read next

• helm show readme phoenixai/kube-anywhere and helm show values phoenixai/kube-anywhere — every value the chart accepts, printed from the chart itself.
• Console tour — what each console page is for.
• Deploy Multiple Clusters — more than one cluster in one Kubernetes cluster.
• Expand Persistent Volume — growing disks after the fact.