Kong Gateway HA Setup Across Two Sites (Active-Active or Active-Passive)

Kong Gateway HA Setup Across Two Sites (Active-Active or Active-Passive)

To set up Kong Gateway in High Availability (HA) mode across two sites, each with two servers, you need a shared database, load balancing, and synchronization between sites.


🔹 Deployment Overview

🔹 2 Sites: Each site has 2 Kong nodes
🔹 Database: Shared PostgreSQL or Cassandra for synchronization
🔹 Load Balancer: Needed at each site for traffic distribution
🔹 Service Discovery: DNS or Consul for routing


🔹 Architecture Options

1️. Active-Active (Multi-Region Load Balancing)

  • All four Kong nodes are active and share traffic
  • Requires database replication between sites
  • Needs global load balancing (GSLB)

2️. Active-Passive (Failover Setup)

  • Site 1 is active, Site 2 is standby
  • Failover handled by DNS or Load Balancer
  • PostgreSQL in replication mode

 Step-by-Step Kong Gateway HA Setup

1️. Install Kong on All Nodes

Install Kong on all four servers across the two sites:

curl -Lo kong.rpm “https://download.konghq.com/gateway-3.x-rpm/kong-3.x.el7.amd64.rpm”

sudo yum install -y kong.rpm

or for Debian-based systems:

curl -Lo kong.deb “https://download.konghq.com/gateway-3.x-ubuntu/kong-3.x.all.deb”

sudo dpkg -i kong.deb


2️. Setup Shared Database (PostgreSQL Recommended)

 Install PostgreSQL on a separate database cluster
Enable replication between Site 1 and Site 2

On the primary DB node (Site 1):

sudo -u postgres psql

CREATE USER kong WITH PASSWORD ‘kongpass’;

CREATE DATABASE kong OWNER kong;

On all Kong nodes, update kong.conf:

database = postgres

pg_host = <DB-PRIMARY-IP>

pg_port = 5432

pg_user = kong

pg_password = kongpass

Then, run migrations (only once):

kong migrations bootstrap

On replica DB node (Site 2): Enable PostgreSQL replication.


3️. Start Kong on All Nodes

After configuring kong.conf, start Kong on all four nodes:

kong start

Verify the setup:

kong health


4️. Configure Load Balancing for Kong Nodes

Each site should have a local load balancer (e.g., Nginx, HAProxy, AWS ELB, or F5) that distributes traffic to Kong nodes.

 HAProxy Config:

frontend kong_frontend

    bind *:8000

    default_backend kong_backend

backend kong_backend

    balance roundrobin

    server kong1 <KONG_NODE1>:8000 check

    server kong2 <KONG_NODE2>:8000 check

For Active-Active, use GSLB or Anycast to balance across regions.

For Active-Passive, failover is managed by health checks.


5️. Synchronize Configuration Across Sites

Use Kong Config Sync to keep both sites in sync:

kong config db_export kong.yaml

scp kong.yaml site2:/etc/kong/kong.yaml

kong config db_import kong.yaml

Alternatively, use deck (DecK) for automated sync:

deck dump –output kong-config.yaml

deck sync –state kong-config.yaml


6️. Monitor & Maintain HA Setup

Use Prometheus, Grafana, or Kong Manager for monitoring.
Enable health checks:

curl -i http://<kong-ip&gt;:8001/status

Set up PostgreSQL monitoring to detect failover events.


🚀 Final Setup Summary

2 sites, 2 Kong nodes per site
Shared PostgreSQL with replication
Local Load Balancer for each site
Global Load Balancer for Active-Active
–  Automated config sync using DecK

MapR Migration

Why Snapshots Are NOT Ideal for Migration?

  1. Snapshots stay within the same cluster – They cannot be directly copied to another cluster.
  2. No built-in transfer mechanism – Snapshots are stored as metadata; you still need another tool (like DistCp) to move data.
  3. Cannot directly restore on a different system – The target cluster must support the same snapshot system (e.g., HDFS or MapR-FS).

Best Way to Migrate Data Between Clusters

Use DistCp for large-scale data migration:

hadoop distcp -update hdfs://source-cluster/data hdfs://destination-cluster/data

or for cloud migration:

hadoop distcp hdfs://source/data s3a://bucket-name/

Create & Restore Snapshot (MapR-FS or HDFS)

hdfs dfsadmin -allowSnapshot /mydata
hdfs dfs -createSnapshot /mydata my_snapshot
hdfs dfs -restoreSnapshot /mydata/my_snapshot

DistCp for Data Migration

hadoop distcp -update -delete hdfs://source-cluster/data hdfs://destination-cluster/data

jks – issue

Here are a few steps you can try to resolve the issue:

  1. Check Keystore and Truststore: Ensure that your keystore and truststore files are correctly set up and contain the necessary certificates. You can use the keytool command to inspect the contents of your keystore and truststore.
  2. Set SSL Properties: Make sure you have set the necessary SSL properties in your Java code. For example:

java

System.setProperty(“javax.net.ssl.keyStore”, “path/to/keystore.jks”);

System.setProperty(“javax.net.ssl.keyStorePassword”, “keystorePassword”);

System.setProperty(“javax.net.ssl.trustStore”, “path/to/truststore.jks”);

System.setProperty(“javax.net.ssl.trustStorePassword”, “truststorePassword”);

  1. Initialize SSLContext: Ensure that you are correctly initializing the SSLContext. Here’s an example:

java

SSLContext sslContext = SSLContext.getInstance(“TLS”);

KeyManagerFactory kmf = KeyManagerFactory.getInstance(KeyManagerFactory.getDefaultAlgorithm());

TrustManagerFactory tmf = TrustManagerFactory.getInstance(TrustManagerFactory.getDefaultAlgorithm());

KeyStore keyStore = KeyStore.getInstance(“JKS”);

keyStore.load(new FileInputStream(“path/to/keystore.jks”), “keystorePassword”.toCharArray());

KeyStore trustStore = KeyStore.getInstance(“JKS”);

trustStore.load(new FileInputStream(“path/to/truststore.jks”), “truststorePassword”.toCharArray());

kmf.init(keyStore, “keystorePassword”.toCharArray());

tmf.init(trustStore);

sslContext.init(kmf.getKeyManagers(), tmf.getTrustManagers(), new SecureRandom());

  1. Verify Certificate Entries: Ensure that the certificates in your keystore and truststore are correctly imported and have the necessary trust entries. You can refer to this guide for more details on importing certificates.
  2. Custom TrustStore: If you are using a custom truststore, make sure it is correctly configured. You can find more information on using a custom truststore in Java here.

If you still encounter issues, please provide more details about your setup and any error messages you are receiving. This will help in diagnosing the problem more accurately.

A trustCertEntry in a Java KeyStore (JKS) is an entry that contains a trusted certificate, typically used to establish trust in SSL/TLS connections. Here’s a quick guide on how to add a trustCertEntry to your JKS:

  1. Obtain the Certificate: Ensure you have the certificate file (usually with a .cer or .crt extension) that you want to add to the truststore.
  2. Import the Certificate: Use the keytool command to import the certificate into your JKS. Here’s an example command:shkeytool -import -trustcacerts -alias mycert -file path/to/certificate.cer -keystore path/to/truststore.jks
    • -import: Specifies that you want to import a certificate.
    • -trustcacerts: Indicates that the certificate is a trusted CA certificate.
    • -alias mycert: Sets an alias for the certificate entry.
    • -file path/to/certificate.cer: Specifies the path to the certificate file.
    • -keystore path/to/truststore.jks: Specifies the path to the truststore file.
  3. Verify the Entry: After importing the certificate, you can verify that it has been added to the truststore using the keytool -list command:shkeytool -list -keystore path/to/truststore.jks

Kong HA

Setting up Kong Gateway with high availability (HA) on-premise on bare metal servers involves several steps. Below is a comprehensive guide to achieve this setup:

Prerequisites

  1. Bare Metal Servers: Ensure you have multiple physical servers available.
  2. Network Configuration: Ensure all servers are on the same network and can communicate with each other.
  3. Data Store: Kong Gateway requires a shared data store like PostgreSQL or Cassandra. Ensure you have a highly available setup for your data store.
  4. Load Balancer: A hardware or software load balancer to distribute traffic across Kong Gateway nodes.

Step-by-Step Guide

1. Install PostgreSQL for the Shared Data Store

  1. Install PostgreSQL:

sudo apt-get update

sudo apt-get install -y postgresql postgresql-contrib

  1. Configure PostgreSQL for High Availability:
    • Set up replication between multiple PostgreSQL instances.
    • Ensure that the primary and standby instances are configured correctly.
  2. Create a Kong Database:

sudo -u postgres psql

CREATE DATABASE kong;

CREATE USER kong WITH PASSWORD ‘yourpassword’;

GRANT ALL PRIVILEGES ON DATABASE kong TO kong;

\q

2. Install Kong Gateway on Each Server

  1. Install Kong Gateway:

sudo apt-get update

sudo apt-get install -y apt-transport-https

curl -s https://packages.konghq.com/keys/kong.key | sudo apt-key add –

echo “deb https://packages.konghq.com/debian/ $(lsb_release -sc) main” | sudo tee -a /etc/apt/sources.list

sudo apt-get update

sudo apt-get install -y kong

  1. Configure Kong Gateway:
    • Create a kong.conf file on each server with the following configuration:

database = postgres

pg_host = <primary_postgresql_host>

pg_port = 5432

pg_user = kong

pg_password = yourpassword

pg_database = kong

  1. Start Kong Gateway:

kong migrations bootstrap

kong start

3. Configure Load Balancer

  1. Set Up a Load Balancer:
    • Configure your load balancer to distribute traffic across the Kong Gateway nodes.
    • Ensure the load balancer is set up for high availability (e.g., using a failover IP or DNS).
  2. Configure Health Checks:
    • Configure health checks on the load balancer to monitor the health of each Kong Gateway node.
    • Ensure that traffic is only sent to healthy nodes.

4. Set Up Failover Mechanism

  1. Database Failover:
    • Ensure your PostgreSQL setup has a failover mechanism in place (e.g., using Patroni or pgpool-II).
  2. Kong Gateway Failover:
    • Ensure that the load balancer can detect when a Kong Gateway node is down and redirect traffic to other nodes.

5. Implement Monitoring and Alerts

  1. Set Up Monitoring:
    • Use tools like Prometheus and Grafana to monitor the health and performance of your Kong Gateway nodes and PostgreSQL database.
  2. Set Up Alerts:
    • Configure alerts to notify you of any issues with the Kong Gateway nodes or the PostgreSQL database.

Example Configuration Files

PostgreSQL Configuration (pg_hba.conf):

# TYPE  DATABASE        USER            ADDRESS                 METHOD

host    kong            kong            192.168.1.0/24          md5

Kong Gateway Configuration (kong.conf):

database = postgres

pg_host = 192.168.1.10

pg_port = 5432

pg_user = kong

pg_password = yourpassword

pg_database = kong

Summary

By following these steps, you can set up a highly available Kong Gateway on bare metal servers. This setup ensures that your API gateway remains reliable and performs well under various conditions. Make sure to thoroughly test your setup to ensure that failover and load balancing work as expected.

Install KONG PLugin

---
- name: Deploy Kong Plugins
  hosts: kong_servers
  vars:
    plugin_configs_path: "/path/to/plugin/configs/"
  tasks:
    - name: Read JSON configuration files
      find:
        paths: "{{ plugin_configs_path }}"
        patterns: "*.json"
      register: json_files

    - name: Apply Kong plugins configuration
      uri:
        url: "http://localhost:8001/plugins/"
        method: POST
        body: "{{ lookup('file', item.path) | from_json }}"
        body_format: json
      with_items: "{{ json_files.files }}"
      register: plugin_results

    - name: Display results
      debug:
        var: plugin_results


second playbook

---
- name: Deploy Kong Rate Limiting Plugin
  hosts: localhost
  tasks:
    - name: Deploy Kong Rate Limiting Plugin
      uri:
        url: "http://localhost:8001/services/238feb34-597a-44c1-a797-5001ef0d2aba/plugins"
        method: POST
        headers:
          Content-Type: "application/json"
        body: "{{ lookup('file', 'rate_limit_plugin.json') }}"
        status_code: 201
        body_format: json



json file 


[root@instance-test-luks co]# more rate_limit_plugin.json 
{
  "name": "rate-limiting",
  "config": {
    "minute": 20,
    "hour": 100,
    "day": 2000
  }
}




Setting Up a YUM Repository (RHEL/CentOS)

A. Setting Up a YUM Repository (RHEL/CentOS)

1. Install and Configure a Web Server

Most repositories are served via HTTP. In this example, we’ll use Apache (httpd):

  1. Install Apache:bashCopyEditsudo yum install httpd -y
  2. Enable and start Apache:bashCopyEditsudo systemctl enable httpd sudo systemctl start httpd
  3. Verify that Apache is running:
    Open your browser and navigate to http://<your-server-IP>/ to see the Apache welcome page.

2. Create the Repository Directory

  1. Make a directory to hold your repository files:bashCopyEditsudo mkdir -p /var/www/html/myrepo
  2. Copy your RPM packages into this directory:bashCopyEditsudo cp /path/to/your/rpms/*.rpm /var/www/html/myrepo/

3. Generate Repository Metadata

  1. Install the createrepo tool:bashCopyEditsudo yum install createrepo -y
  2. Run createrepo in your repository directory:bashCopyEditsudo createrepo /var/www/html/myrepo This command creates a repodata directory with all the necessary metadata for the repository.

4. Set Proper Permissions

  1. Ensure Apache can read the files:bashCopyEditsudo chmod -R 755 /var/www/html/myrepo
  2. If SELinux is enabled, adjust the file context:bashCopyEditsudo chcon -R -t httpd_sys_content_t /var/www/html/myrepo

5. (Optional) Configure the Firewall

Make sure HTTP traffic is allowed:

  • For firewalld:bashCopyEditsudo firewall-cmd --permanent --add-service=http sudo firewall-cmd --reload

mTLS cloud flare integration with kong

integrate kong with cloudflare with mtls

Reasoned about Kong Cloudflare integration for 8 seconds

Integrating Kong with Cloudflare via mTLS

The user is asking about how to integrate Kong with Cloudflare using mTLS, which stands for mutual TLS. Kong is an API gateway, and the goal is to set up mTLS for secure communication with Cloudflare. This likely involves configuring Cloudflare as a reverse proxy for Kong. I’ll need to include steps for setting up mTLS on both ends, including cert management. The answer will detail how to configure mTLS in Cloudflare and how to handle it on the Kong side for a secure connection.

Configuring Kong and Cloudflare with mTLS

To integrate Kong with Cloudflare using mTLS, we need a few key steps. Cloudflare supports mTLS via its Zero Trust/Access solutions, and Kong can use mTLS for upstream services. Here’s a simplified approach:

  1. Generate certificates (either Cloudflare’s Origin or client certificate).
  2. On Kong’s end, configure the mTLS plugin or settings to verify the client certificate.
  3. On Cloudflare, configure mTLS to forward certificates or use “Authenticated Origin Pulls” to validate requests with a client certificate from Cloudflare to Kong.

Below is an overview of how you can integrate Kong with Cloudflare using mutual TLS (mTLS) to secure the connection between Cloudflare (as your edge proxy) and Kong (as your API gateway):


1. Overview of the Integration

  • Cloudflare Authenticated Origin Pulls:
    Cloudflare can be configured to present a client certificate when it connects to your origin server. This proves to your origin that the connection is coming through Cloudflare.
  • Kong as the Origin:
    Kong (which runs on Nginx) can be configured to require and verify client certificates on incoming TLS connections. In this scenario, Kong will be set to trust only the client certificate (or its issuing CA) that Cloudflare uses.

The integration ensures that only requests that have passed through Cloudflare—and that present the proper client certificate—are accepted by Kong.


2. Prerequisites

  • A Cloudflare account with your domain configured.
  • Cloudflare’s Authenticated Origin Pulls enabled (this is available in your Cloudflare dashboard).
  • A publicly trusted server certificate installed on Kong for its TLS listener.
  • Administrative access to your Kong instance so you can modify TLS settings (via configuration file or custom Nginx snippets).

3. Enable Cloudflare Authenticated Origin Pulls

  1. Activate Authenticated Origin Pulls in Cloudflare:
    In the Cloudflare dashboard, go to SSL/TLSEdge Certificates and ensure that Authenticated Origin Pulls is turned on.
  2. Download the Cloudflare Origin Pull CA Certificate:
    Cloudflare publishes a CA certificate that it uses to sign its client certificates for origin pulls. You can download it from Cloudflare’s documentation (typically named something like origin-pull-ca.pem).

4. Configure Kong to Require mTLS from Cloudflare

Since Kong uses Nginx as its underlying proxy, you can require client certificate verification by adjusting its TLS configuration. There are two common approaches:

A. Using a Custom Nginx Configuration Snippet in Kong

  1. Locate or Create a Custom Nginx Snippet File:
    Depending on your Kong version, you can add custom configuration to Kong’s Nginx configuration (for example, using the nginx_http_ssl_verify_client directive).
  2. Configure Client Certificate Verification:
    In your custom snippet (which might be included via Kong’s configuration file or a custom plugin), add directives similar to the following:# This snippet is applied to the HTTPS server block in Kong’s Nginx config ssl_verify_client on; ssl_client_certificate /path/to/cloudflare-origin-pull-ca.pem;
  3. Reload Kong:
    After updating the configuration, reload or restart Kong so that the new settings take effect.

B. Configuring Kong (Enterprise) with Built-In mTLS Features

If you are using Kong Enterprise or a version that supports mTLS configuration natively for incoming connections, you can use its configuration options (or plugins) to require client certificates. Check the Kong documentation for any native mTLS support where you can specify a trusted CA.


5. Test the Setup

  1. Verify the TLS Handshake:
    Use tools like OpenSSL’s s_client to simulate a connection to Kong and check that it requires a client certificate: openssl s_client -connect your-kong-host:443 -CAfile /path/to/cloudflare-origin-pull-ca.pem Without a proper client certificate, the handshake should fail.
  2. Send a Request Through Cloudflare:
    Ensure that when Cloudflare forwards requests to Kong, it presents its client certificate and that Kong accepts the connection.
  3. Monitor Kong Logs:
    Review Kong (or Nginx) logs to ensure that client certificate verification is working as expected.

6. Additional Considerations

  • Certificate Management:
    Maintain and update your Cloudflare Origin Pull CA certificate on Kong when required (though Cloudflare’s published CA rarely changes).
  • Fallback and Testing:
    During testing, you might want to temporarily set ssl_verify_client optional; so you can observe behavior without blocking all connections, then switch to on for production.
  • Security and Performance:
    Ensure that all certificate files are stored securely on your Kong server and that proper file permissions are set.
  • Documentation and Updates:
    Always refer to the latest Cloudflare documentation on Authenticated Origin Pulls and Kong documentation for any version-specific instructions.

LEAPP upgrade – multiple kernel issue

Newest installed kernel not in use

If the newest installed kernel is not in use even after rebooting, it typically means your system is booting into an older kernel version. This happens due to the default GRUB settings or other configuration issues.

Here’s how you can resolve the issue step-by-step:


1. Verify the Currently Running Kernel

  • Check the kernel currently in use:

uname -r

  • Example output:

CopyEdit

3.10.0-1127.el7.x86_64

  • Compare this with the newest installed kernel version (see step 2).

2. List All Installed Kernels

  • List all installed kernel packages:

rpm -qa | grep kernel | grep -v firmware

  • Example output:

kernel-3.10.0-1127.el7.x86_64

kernel-3.10.0-1160.el7.x86_64

  • Identify the newest kernel (e.g., 3.10.0-1160.el7.x86_64).

3. Check GRUB Default Boot Entry

  • Display the current GRUB default boot entry:

grub2-editenv list

  • You should see something like this:

saved_entry=0

  • If the saved_entry is pointing to an older kernel, the system is booting into it by default.

4. Update GRUB to Use the Newest Kernel

Option A: Use the First Kernel (Default GRUB Behavior)

  • Edit the GRUB configuration:

sudo vi /etc/default/grub

  • Set the GRUB_DEFAULT value to 0 (the first kernel in the GRUB list):

GRUB_DEFAULT=0

  • Save and exit the file.
  • Regenerate the GRUB configuration:

sudo grub2-mkconfig -o /boot/grub2/grub.cfg

Option B: Manually Specify the Newest Kernel

  • Run this command to view all available kernel entries:

awk -F\’ ‘$1==”menuentry ” {print i++ ” : ” $2}’ /boot/grub2/grub.cfg

  • Example output:

0 : CentOS Linux (3.10.0-1160.el7.x86_64)

1 : CentOS Linux (3.10.0-1127.el7.x86_64)

2 : CentOS Linux (0-rescue-…)

  • Set GRUB_DEFAULT to the corresponding entry for the newest kernel (e.g., 0):

sudo grub2-set-default 0

  • Verify the setting:

grub2-editenv list


5. Reboot the System

  • Reboot your system to load the correct kernel:

sudo reboot

  • After reboot, confirm that the new kernel is in use:

uname -r


6. Remove Old Kernels (Optional)

  • To prevent confusion in the future, you can remove unused older kernels:

sudo package-cleanup –oldkernels –count=1

  • This retains only the most recent kernel.

7. Troubleshooting

  • Manually Select the Kernel: If the system still boots into the wrong kernel, you can manually select the desired kernel during the GRUB menu at boot time. To enable the GRUB menu:
    1. Edit /etc/default/grub:

sudo vi /etc/default/grub

  • Set GRUB_TIMEOUT to a non-zero value (e.g., 5):

GRUB_TIMEOUT=5

  • Save and regenerate the GRUB configuration:

sudo grub2-mkconfig -o /boot/grub2/grub.cfg

  • Kernel Missing After Update: Ensure the new kernel is properly installed. Reinstall it if necessary:

sudo yum install kernel

Istio

What is istio ?

Istio is an open-source service mesh platform that helps manage, secure, and monitor communication between microservices in distributed systems, such as Kubernetes-based applications. It abstracts the complexity of service-to-service communication and provides powerful capabilities without requiring changes to application code.


Key Features of Istio

  1. Traffic Management
    • Provides fine-grained control over service traffic.
    • Features include:
      • Load balancing.
      • Traffic routing (e.g., blue-green deployments, canary releases).
      • Traffic splitting by percentage.
      • Retry and failover mechanisms.
  2. Security
    • Enables mutual TLS (mTLS) for secure communication between services.
    • Provides service-level identity, authentication, and authorization.
    • Supports encryption of data in transit.
  3. Observability
    • Provides monitoring and tracing capabilities for service communication.
    • Integrates with tools like Prometheus, Grafana, and Jaeger for metrics and distributed tracing.
    • Offers detailed logs and dashboards for understanding service health and performance.
  4. Service Resilience
    • Provides fault injection to test resilience.
    • Circuit breakers and timeouts for handling failing services gracefully.
    • Automatic retries for transient failures.
  5. Policy Enforcement
    • Allows applying policies at runtime (e.g., rate limiting, quotas).
    • Helps enforce compliance with organizational or regulatory requirements.

How Istio Works

Istio operates by introducing sidecars and control planes:

  1. Sidecar Proxy
    • Istio uses Envoy as a sidecar proxy.
    • A proxy container is injected alongside each service container in a pod.
    • The proxy intercepts and manages all inbound and outbound traffic for the service.
  2. Control Plane
    • The control plane (typically managed by the Istiod component) oversees configuration, policy enforcement, and secure communication setup.
    • It communicates with all sidecar proxies to enforce desired traffic behavior.

Use Cases for Istio

  1. Service Mesh for Microservices
    • Manage the complexity of service communication in large microservices environments.
  2. Zero-Trust Security
    • Implement mTLS and fine-grained access control between services.
  3. Traffic Splitting
    • Perform canary deployments or A/B testing by routing a percentage of traffic to different service versions.
  4. Observability
    • Gain deep insights into service interactions with metrics, logs, and traces.
  5. Policy Enforcement
    • Apply runtime policies to ensure reliability and security.

Istio Architecture

Istio’s architecture consists of the following components:

  1. Envoy Proxy:
    • Data plane component responsible for service-to-service communication.
    • Handles traffic routing, load balancing, and security (e.g., mTLS).
  2. Istiod:
    • Central control plane that configures proxies and enforces policies.
    • Provides service discovery, certificate management, and telemetry data.
  3. Telemetry Tools:
    • Istio collects metrics, logs, and traces to integrate with monitoring tools like Prometheus, Grafana, and Jaeger.

Istio vs Traditional Load Balancers

  • Istio provides layer 7 (application layer) traffic management, unlike traditional load balancers which mostly focus on layer 4 (transport layer).
  • It can dynamically route traffic based on HTTP headers, cookies, or other data, which makes it ideal for modern microservice architectures.

When to Use Istio

Use Istio if:

  • Your application involves multiple microservices that need traffic management and security.
  • You need advanced observability for troubleshooting and monitoring.
  • You’re running Kubernetes or containerized workloads at scale.
  • You want to implement fine-grained traffic controls, such as canary or blue-green deployments.

Ansible – host list

The error “host list declined parsing host file as it did not pass its verify_file() method” occurs when Ansible cannot properly parse your inventory file. This is typically due to an invalid format or incorrect file structure. Here’s how to troubleshoot and fix it:


Step 1: Verify Inventory File Format

Correct INI Format Example

Ensure your inventory file uses the proper INI-style syntax:

[webservers]

web1 ansible_host=192.168.1.10 ansible_user=root

web2 ansible_host=192.168.1.11 ansible_user=root

[dbservers]

db1 ansible_host=192.168.1.20 ansible_user=root

Correct YAML Format Example

If using a YAML-based inventory file, ensure it follows the correct structure:

all:

  hosts:

    web1:

      ansible_host: 192.168.1.10

      ansible_user: root

    web2:

      ansible_host: 192.168.1.11

      ansible_user: root

  children:

    dbservers:

      hosts:

        db1:

          ansible_host: 192.168.1.20

          ansible_user: root


Step 2: Check File Extension

  • For INI-style inventory, use .ini or no extension (e.g., inventory).
  • For YAML-style inventory, use .yaml or .yml.

Step 3: Test the Inventory File

Use the ansible-inventory command to validate the inventory file:

ansible-inventory -i inventory –list

  • Replace inventory with the path to your inventory file.
  • If there’s an error, it will provide details about what’s wrong.

 Step 4: Use Explicit Inventory Path

When running an Ansible command or playbook, explicitly specify the inventory file:

ansible all -i /path/to/inventory -m ping


 Step 5: Check Syntax Errors

  1. Ensure there are no trailing spaces or unexpected characters in your inventory file.
  2. Use a linter for YAML files if you suspect a YAML formatting issue:

yamllint /path/to/inventory.yaml


 Step 6: Set Permissions

Ensure the inventory file has the correct permissions so that Ansible can read it:

chmod 644 /path/to/inventory