#!/bin/bash

# === CONFIGURATION ===
LICENSE_FILE="/path/to/your/maprlicense.txt"
PRIMARY_NODE="cldb-node.example.com"   # change to your CLDB node hostname or IP

# === STEP 1: Copy license to the primary node ===
echo "Copying license file to $PRIMARY_NODE..."
scp "$LICENSE_FILE" "$PRIMARY_NODE:/tmp/maprlicense.txt"

# === STEP 2: Add the license on the cluster ===
echo "Adding license using maprcli on $PRIMARY_NODE..."
ssh "$PRIMARY_NODE" "sudo maprcli license add -license /tmp/maprlicense.txt"

# === STEP 3: Verify license ===
echo "Verifying license status..."
ssh "$PRIMARY_NODE" "sudo maprcli license list -json | jq ."

echo "✅ License added and verified successfully!"


How Cluster ID is normally generated
When you first install MapR, you run something like:


sudo /opt/mapr/server/configure.sh -C <cldb-nodes> -Z <zookeeper-nodes> -N <cluster-name>
When configure.sh runs for the first time:

It creates /opt/mapr/conf/clusterid

It creates /opt/mapr/conf/mapr-clusters.conf

It registers your node with CLDB

The Cluster ID is a random large number, created automatically.

If you need to (re)generate a Cluster ID manually:
If you're setting up a new cluster, and no CLDB is initialized yet, you can force generate a Cluster ID like this:

Stop Warden if running:


sudo systemctl stop mapr-warden
Clean old config (careful, if cluster already had data, don't do this):


sudo rm -rf /opt/mapr/conf/clusterid
sudo rm -rf /opt/mapr/conf/mapr-clusters.conf
Re-run configure.sh:

Example:


sudo /opt/mapr/server/configure.sh -N mycluster.example.com -C cldb-node1,cldb-node2 -Z zk-node1,zk-node2
-N: Cluster Name

-C: CLDB nodes

-Z: ZooKeeper nodes

After that:
cat /opt/mapr/conf/clusterid
→ You will now see the new Cluster ID!

How Cluster ID is normally generated
When you first install MapR, you run something like:

sudo /opt/mapr/server/configure.sh -C <cldb-nodes> -Z <zookeeper-nodes> -N <cluster-name>
When configure.sh runs for the first time:

It creates /opt/mapr/conf/clusterid

It creates /opt/mapr/conf/mapr-clusters.conf

It registers your node with CLDB

✅ The Cluster ID is a random large number, created automatically.

🔥 If you need to (re)generate a Cluster ID manually:
If you're setting up a new cluster, and no CLDB is initialized yet, you can force generate a Cluster ID like this:

Stop Warden if running:

bash
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sudo systemctl stop mapr-warden
Clean old config (careful, if cluster already had data, don't do this):

bash
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sudo rm -rf /opt/mapr/conf/clusterid
sudo rm -rf /opt/mapr/conf/mapr-clusters.conf
Re-run configure.sh:

Example:

bash
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sudo /opt/mapr/server/configure.sh -N mycluster.example.com -C cldb-node1,cldb-node2 -Z zk-node1,zk-node2
-N: Cluster Name

-C: CLDB nodes

-Z: ZooKeeper nodes

After that:

bash
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cat /opt/mapr/conf/clusterid
→ You will now see the new Cluster ID!

Why choose Kong Konnect over self-managed Kong Gateway?

• Faster to deploy: no need to install, configure, secure Control Plane.
• Zero maintenance: no patching, backups, upgrades for control plane.
• Global availability: Control Plane is multi-region by default.
• Modern features: You get new Kong features faster (Konnect users get earlier access).
• Built-in observability: native dashboards, logging, analytics ready.
• Multi-tenant support: You can separate teams, apps, etc easily.
• Reduced DevOps overhead: focus only on managing lightweight Data Planes.

Great question — JWTs and client certificates are both authentication methods, but they are not directly dependent on each other. They solve different security goals, and in some advanced setups, they can complement each other.

Let’s break it down:

🔄 JWT vs. Client Certificate — Purpose

Invalid status code received from the token endpoint” means Kong tried to exchange an authorization code for a token, but the PingFederate token endpoint replied with an error

302 Found:

• Kong redirects the client to the authorization endpoint of PingFederate.
• This is normal behavior during the initial OIDC flow (when no token is present).

401 Unauthorized (after redirect):

• The client is redirected back to Kong with an authorization code.
• Then Kong calls the token endpoint to exchange code → tokens.
• But this step fails (e.g., bad client credentials, redirect URI mismatch, wrong token endpoint).
• Result: 401 Unauthorized, often shown to the user after the browser returns from the IdP.

A 400 Bad Request from the OpenID Connect token endpoint usually means something is wrong with the request payload you’re sending. This often happens during a token exchange or authorization code flow.

Let’s troubleshoot it step by step:

🔍 Common Causes of 400 from Token Endpoint

1. Invalid or missing parameters
   • Missing grant_type, client_id, client_secret, code, or redirect_uri
   • Using wrong grant_type (e.g., should be authorization_code, client_credentials, refresh_token, etc.)
2. Mismatched or invalid redirect URI
   • Must match the URI registered with the provider exactly.
3. Invalid authorization code
   • Expired or already used.
4. Invalid client credentials
   • Bad client_id / client_secret
5. Wrong Content-Type
   • The request should be: bashCopyEditContent-Type: application/x-www-form-urlencoded

To know why Ping returned 400, you need to:

1. Check PingFederate logs – often shows detailed error like:

Invalid redirect_uri
Invalid client credentials
Unsupported grant_type

Kong is probably misconfigured or failing to capture the code from the redirect step before trying the token exchange.

This usually happens due to:

• Misconfigured redirect_uri
• Missing or misrouted callback handling (/callback)
• Client app hitting the wrong route first
• Kong OIDC plugin misconfigured (missing session_secret, or improper auth_methods)

Troubleshooting

Migrating from Kong Gateway (self-managed/on-prem) to Kong Konnect (cloud-managed) involves a combination of:

• Exporting your current Kong configuration
• Translating any on-prem customizations or plugins
• Importing services and routes into Konnect
• Updating auth, plugins, and Dev Portal configuration
• Re-pointing your traffic and observability tools

Here’s a step-by-step migration plan with optional tooling for automation:

Step 1: Inventory Your Current Kong Gateway

Start by identifying all current components:

• Services
• Routes
• Plugins
• Consumers & credentials
• RBAC users & roles
• Custom plugins (if any)
• Certificates
• Upstreams / Targets
• Rate limiting or security policies

You can use:

deck dump --kong-addr http://<admin-api>:8001 --output-file kong-export.yaml

This uses decK, a declarative config tool for Kong.

Step 2: Set Up Kong Konnect

1. Sign up for Kong Konnect
2. Create a Runtime Group (this is where your data plane will connect)
3. Install Kong Gateway (with Konnect mode) as the Data Plane: curl -O https://download.konghq.com/gateway-3.x-centos/Packages/k/kong-3.x.rpm Configure it with: yamlCopyEditrole: data_plane cluster_control_plane: <Konnect CP endpoint> cluster_telemetry_endpoint: <Telemetry CP endpoint>

Step 3: Translate & Import Configuration

Use decK to sync into Konnect:

bashCopyEditdeck sync --konnect-runtime-group <runtime-group-name> \
          --konnect-token <your-token> \
          --state kong-export.yaml

DecK v1.16+ supports direct Konnect import via --konnect flags.

Note: decK does not migrate:

• RBAC user roles
• Developer Portal assets (you’ll need to re-upload manually)
• Custom plugins (must be re-implemented and built for Konnect if supported)

Step 4: Migrate Authentication & Plugins

• Consumers / Auth: Recreate consumers in Konnect or use Konnect Dev Portal to register apps
• Certificates: Re-upload any TLS certs to Konnect
• Custom Plugins: Migrate only if they are supported on Kong Konnect. Otherwise, consider rewriting logic using Lua/Python and submit to Kong support if needed.

Step 5: Reconfigure Observability

Kong Konnect offers built-in integrations:

• Logs: Datadog, HTTP log, Splunk (via plugin)
• Metrics: Prometheus, Kong Vitals
• Use the Konnect GUI or API to configure logging plugins

Step 6: Redirect Traffic to Konnect Runtime

• Update DNS or Load Balancer to send traffic to new Konnect Data Plane IPs
• Perform traffic shadowing/canary if needed

Final Step: Validation & Cutover

• Smoke test all endpoints
• Test rate limits, auth flows, consumer access
• Validate logs and metrics collection
• Disable/decommission legacy Kong Gateway only after validation

Databricks is a cloud-based data platform built for data engineering, data science, machine learning, and analytics. It provides a unified environment that integrates popular open-source tools like Apache Spark, Delta Lake, and MLflow, and is designed to simplify working with big data and AI workloads at scale.

What Databricks Does

Databricks allows you to:

• Ingest, clean, and transform large volumes of data
• Run machine learning models and notebooks collaboratively
• Perform interactive and batch analytics using SQL, Python, R, Scala, and more
• Securely govern and share data across teams and workspaces

Core Components

Runs on Major Clouds

• AWS
• Microsoft Azure
• Google Cloud

Use Cases

• Data lakehouse architecture
• ETL/ELT processing
• Business intelligence and analytics
• Real-time streaming data processing
• Machine learning and MLOps
• GenAI development using large language models

Quick Analogy:

Think of Databricks as a “data factory + AI lab + SQL analytics tool” all in one, built on top of scalable cloud compute and storage.

!/bin/bash

List of your servers (can be IPs or hostnames)

SERVERS=(
server1.example.com
server2.example.com
server3.example.com
server4.example.com
server5.example.com
server6.example.com
)

FILE_PATH=”/opt/pfengine/file.txt”

for server in “${SERVERS[@]}”; do
echo “🔍 Checking $FILE_PATH on $server”

ssh -o ConnectTimeout=5 “$server” “ls -l $FILE_PATH” 2>/dev/null

if [ $? -ne 0 ]; then
echo “❌ Could not access file on $server”
fi

echo “————————————–“
done

In Your Setup:

– each zone has its own shared DB:

• Zone A (A1 & A2) → DB-A
• Zone B (B1 & B2) → DB-B

That implies:

• You need to configure the plugin in both DBs (once per zone).
• So you only need to enable the plugin once per zone, using the Admin API on one node in each zone.

✅ What You Should Do:

1. Run this plugin setup command on one Kong node per zone (e.g., A1 and B1):

bash

CopyEdit

curl -i -X POST http://localhost:8001/plugins/ \

  –data “name=http-log” \

  –data “config.http_endpoint=https://splunk-hec.example.com:8088/services/collector” \

  –data “config.method=POST” \

  –data “config.headers[Authorization]=Splunk YOUR-HEC-TOKEN” \

  –data “config.queue.size=1000”

2. Confirm it’s active via:

curl http://localhost:8001/plugins

🛡️ Bonus Tip: Tag Your Logs by Node/Zone

To make Splunk logs more useful, you can:

• Add custom headers or query parameters with zone info.
• Use a transform or custom_fields in Splunk to tag logs from Zone A vs B.

Example:

–data “config.headers[X-Kong-Zone]=zone-a”