Overview
Subscribe to the hourly-metered Kpow Team AWS Marketplace Container, with usage billed monthly to your AWS account.
Kpow is the all-in-one enterprise toolkit for monitoring and managing Kafka resources. Gain immediate insights into Kafka with fully integrated metrics and telemetry including Consumer Group & Kafka Streams visualizations.
A breeze to install and run, Kpow connects to your Kafka resources with standard client configuration and stores all data locally in your Kafka Cluster - perfect for security conscious deployments.
Kpow features a rich data-oriented UI that shines a light on connected Kafka Clusters, Schema Registries, and Kafka Connect Installations. The fastest topic-search with built in JQ predicates and consumer-lag monitoring allow engineers to get to the heart of their systems quickly.
Kpow integrates with Oauth2, OpenID, SAML, and LDAP providers for user authentication (including Okta, Github SSO, AWS SSO, Azure AD, and KeyCloak), provides configurable Role Based Access Controls for user authorization, supports HTTPS out-of-the-box, and even provides Prometheus endpoints for long-term dashboards and alerting in the Enterprise Monitoring platform of your choice.
Kpow is the ideal companion to Amazon MSK. Simply start the container in an EKS Pod or ECS / Fargate task and get immediate insight into and control of your Kafka resources.
Start as many Kpow Team instances as you need, each instance can monitor and manage one Kafka Cluster and associated Schema Registry and Connect resources. Your AWS account will be billed directly for the number of Kpow hours used each month.
Kpow Team supports high availability installations of Schema Registry and Connect, allowing two of each to be configured with any Kafka Cluster.
The AWS Marketplace kPow container must run with IAM permissions to register your container usage with AWS, see our guide for details:
https://docs.factorhouse.io/kpow-ee/installation/aws-marketplace/
Highlights
- Monitor any Kafka resource - MSK, Confluent Cloud, Red Panda, Aiven, Instaclustr, MSK Connect, AWS Glue, Managed Confluent Connect, MSK Serverless, and more.
- Search and filter millions of records from multiple topics in a flash with powerful JQ predicates, and produce messages back to topics with first-class Data Produce support.
- Run air-gapped and secure with Okta, OpenID, LDAP, SAML, Keycloak, HTTPS, RBAC, Data Masking, Audit Log, Prometheus and Slack integrations.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $0.30 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Kpow for Apache Kafka (SE-1)
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Kpow for Apache Kafka v93.4
See: https://factorhouse.io/blog/releases/ for full release notes
Additional details
Usage instructions
Find installation and configuration documentation at https://docs.kpow.io
Resources
Vendor resources
Support
Vendor support
Full Kpow product documentation is available at https://docs.factorhouse.io
For details of support options including training and installation sessions with the Kpow engineering team see
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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