Sold by: Aklivity
Deployed on AWS
Zilla Plus is an enterprise gateway for Kafka, APIs, and AI agents, combining a high-performance Kafka gateway with a production-ready MCP gateway. Govern access across Apache Kafka, Confluent, Redpanda, Amazon MSK, and other Kafka-compatible deployments, while exposing Kafka through native Kafka, REST, SSE, WebSocket, gRPC, MQTT, and MCP. Deploy on AWS with deep MSK support for secure connectivity, governance, and AWS-native security integrations.
Overview
Zilla Plus is an enterprise gateway for Kafka, APIs, and AI agents. It provides a common control point for governing how applications, partners, devices, and AI workloads connect to enterprise systems while preserving native protocols and avoiding custom middleware. Zilla works across Kafka deployments, including Apache Kafka, Confluent, Redpanda, and Amazon MSK. Native Kafka clients continue to use standard Kafka drivers, while Zilla can also declaratively mediate Kafka into REST, SSE, WebSocket, gRPC, MQTT, and MCP interfaces. This enables teams to expose the same Kafka infrastructure to web and mobile applications, IoT devices, services, partners, and AI agents without building and operating separate protocol adapters or wrapper services.
For Kafka teams, Zilla Plus adds identity-aware access, Kafka resource virtualization, schema validation, observability, and field-level protection including encryption, masking, redaction, omission, and hashing. Common use cases include streaming Kafka topics directly to web and mobile clients over Server-Sent Events (SSE), with REST endpoints for publishing data back to Kafka; turning Kafka into an IoT broker so MQTT devices can publish and subscribe directly while Kafka stores both messages and client state; and creating a gRPC-Kafka event mesh that routes service requests and responses through Kafka topics or fans Kafka events out to gRPC clients.
For AI teams, Zilla Plus provides a production-ready MCP gateway that can aggregate existing MCP servers and expose Kafka, Kafka Connect, Schema Registry, OpenAPI, and HTTP backends as MCP tools. Searchable and semantically ranked tool catalogs help agents discover capabilities without loading every tool into model context, while OAuth-based authorization, schema validation, observability, and multi-node session support provide the controls needed for production deployments. On AWS, Zilla Plus provides particular value for Amazon MSK through secure public, private, cross-VPC, and cross-account connectivity, with integrations including AWS IAM, Amazon Cognito, AWS KMS, AWS Secrets Manager, and AWS Certificate Manager. Zilla Plus runs as a stateless, horizontally scalable data plane and can connect to Kafka infrastructure running both inside and outside AWS.
Highlights
- [Kafka Protocol Mediation Across Your Kafka Estate]: Connect to Apache Kafka, Confluent, Redpanda, Amazon MSK, and other Kafka-compatible deployments using native Kafka or expose Kafka through REST, SSE, WebSocket, gRPC, MQTT, and MCP. Stream to web and mobile apps, connect IoT devices, build gRPC-Kafka event meshes, and serve AI agents without separate protocol adapters.
- [Kafka & AI Security and Governance]: Apply identity, authorization, Kafka virtualization, schema validation, observability, and field-level encryption, masking, redaction, omission, or hashing at the gateway. Aggregate MCP servers and expose Kafka, Kafka Connect, Schema Registry, OpenAPI, and HTTP APIs as governed MCP tools.
- [Built for AWS & Amazon MSK]: Securely connect Kafka clients across VPCs and accounts while keeping MSK brokers private. Integrate with AWS IAM, Amazon Cognito, AWS KMS, AWS Secrets Manager, and AWS Certificate Manager, with a stateless architecture that scales horizontally for Kafka, API, and MCP workloads. Industry-leading throughput and P99.9 latency benchmarks.
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Zilla Plus
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Linux
Deployed on AWS
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Dimension | Description | Cost/unit |
|---|---|---|
Available vCPUs | Available vCPUs per hour | $0.60 |
Containers | Containers per hour | $1.80 |
Dimensions summary
This container listing bills you by usage, with two separate meters that run per hour. You pay for available vCPUs by the hour, based on the compute capacity your gateway containers can use. You also pay per container by the hour, based on how many containers you run. The two meters are independent and both accrue as you scale. Your total cost rises as you add vCPUs or run more containers, and drops as you scale down. There is no per-connection or throughput charge in these dimensions.
Top-of-mind questions for buyers
A container is one running instance of the gateway image you deploy in your AWS environment, such as on ECS, Fargate, or EC2. Each running instance counts separately. An available vCPU is one unit of compute capacity that a container can use, metered per hour while the container runs.
Both meters bill independently and appear on the same invoice. The container meter tracks how many gateway instances you run. The vCPU meter tracks the compute capacity those containers can use. Compute-heavy deployments with many vCPUs per container tend to drive more cost than container count alone.
Both meters accrue per hour only while containers run. When you stop a container, its container and vCPU charges stop for that instance. Scaling down instances lowers both meters. There is no per-connection or throughput charge, so idle capacity you shut off does not keep billing.
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Zilla Plus
Supported services: Learn more
- Amazon ECS
- Amazon ECS Anywhere
- Amazon EKS
- Amazon EKS Anywhere
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.
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Vendor support
Zilla Plus comes with standard enterprise support, which includes a 24x7, 8-hour SLA via email and direct messaging. Advanced enterprise support with a 2-hour SLA is additionally available. To learn more about our support offerings and engage with the team, please visit https://www.aklivity.io/support .
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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