1. AI Log Analytics with Aiven for Elasticsearch


    To set up AI Log Analytics with Aiven for Elasticsearch, you will need to use Aiven's Elasticsearch service, which is a managed Elasticsearch offering that lets you store, search, and analyze large volumes of data in real time. Elasticsearch is part of the ELK stack (Elasticsearch, Logstash, Kibana), a set of tools often used for logging and analytics.

    Here is a step-by-step explanation followed by a Python program using Pulumi to create an Aiven Elasticsearch service which you can then use for AI Log Analytics:

    1. Setting up a new Aiven Project: Before creating any service, you need to create a project within Aiven. Projects organize your services, like Elasticsearch, and allow you to manage them all together.

    2. Creating an Elasticsearch Service: Once you have a project, you can create an Elasticsearch service within it. When creating the service, you specify details such as the cloud provider, region, service plan, and configurations like IP filters, private access, and service integrations if needed.

    3. Connecting to Elasticsearch: After the service is up and running, you can connect to it using the Elasticsearch endpoints provided by Aiven. You would typically send logs to this service for indexing and then analyze them using queries.

    Now let’s write the Pulumi program to achieve the above steps:

    import pulumi import pulumi_aiven as aiven # Replace these variables with your desired settings aiven_project_name = "my-aiven-project" aiven_elasticsearch_service_name = "my-aiven-es-service" aiven_cloud_provider = "google-europe-west1" # Define your preferred cloud and region aiven_elasticsearch_plan = "business-4" # Define the plan according to your needs # 1. Create a new Aiven Project aiven_project = aiven.Project(aiven_project_name, project=aiven_project_name, # List of technical email addresses of Aiven project members, # these members will receive alerts from the service. technical_emails=["user@example.com"], # (Optional) Cloud where to create services by default. When not specified, Aiven Console # will pick the cloud with the lowest cost. default_cloud=aiven_cloud_provider, ) # Documentation link for Aiven Project: # https://www.pulumi.com/registry/packages/aiven/api-docs/project/ # 2. Create an Elasticsearch service within the project aiven_elasticsearch_service = aiven.Elasticsearch(aiven_elasticsearch_service_name, project=aiven_project_name, cloud_name=aiven_cloud_provider, plan=aiven_elasticsearch_plan, elasticsearch_user_config=aiven.ElasticsearchUserConfigArgs( # Example: Enable Elasticsearch IP Filter by adding allowed IP addresses ip_filter=[""], # Caution: This allows access from any IP, which is insecure # Define any specific configurations for your Elasticsearch service here public_access=aiven.ElasticsearchUserConfigPublicAccessArgs( elasticsearch=True, kibana=True, ), # More configurations like service integrations can be added here ), ) # Documentation link for Aiven Elasticsearch service: # https://www.pulumi.com/registry/packages/aiven/api-docs/elasticsearch/ # Export relevant attributes for external usage pulumi.export("aiven_project_name", aiven_project.project) pulumi.export("aiven_elasticsearch_service_uri", aiven_elasticsearch_service.service_uri) pulumi.export("aiven_elasticsearch_service_kibana_uri", aiven_elasticsearch_service.kibana_uri)

    This program will:

    • Create a project in Aiven named my-aiven-project.
    • Create an Elasticsearch service within the project named my-aiven-es-service.
    • Enable public access to the Elasticsearch and Kibana endpoints, exposing them to the internet. Make sure to restrict the ip_filter to only IPs that should have access to your service, for security reasons.
    • Export critical details such as the service URI to access Elasticsearch and the Kibana URI for analytics and visualization.

    Important Security Note: The IP filter is set to allow all IPs in this example (, which is not secure. In production, you should limit access to specific trusted IP addresses.

    Before running this Pulumi program, ensure that you have signed up for Aiven, installed Pulumi, and set up the necessary Aiven credentials on your local machine or CI/CD environment. This includes setting up Aiven API authentication which is often done through environment variables such as AIVEN_TOKEN.