How does Condense enable BYOC (Bring Your Own Cloud)?

As real-time infrastructure becomes central to modern telemetry, mobility, and automation platforms, enterprises are increasingly seeking deployment models that balance operational convenience with infrastructure control. While traditional managed services offer faster onboarding, they often demand trade-offs in data ownership, security policy enforcement, and cloud credit utilization.

Bring Your Own Cloud (BYOC) addresses this need by allowing vendor-managed platforms to run entirely within enterprise-owned cloud environments. Condense, by design, embraces BYOC not as an optional feature, but as a fundamental architecture principle, enabling event-streaming workloads to operate with full sovereignty, efficiency, and compliance from the start.

Deployment Begins Within the Enterprise Cloud Environment 

BYOC with Condense begins with direct provisioning into the organization’s cloud account: AWS, Azure, or Google Cloud Platform, using cloud-native orchestration tools. The deployment process is automated through templates such as AWS CloudFormation, Azure Bicep, or GCP Deployment Manager. This ensures that all infrastructure resources, from Kubernetes clusters to storage volumes and network routing are created within enterprise-owned subnets, resource groups, and billing accounts. 

Each deployment instantiates a self-contained runtime environment, which includes: 

• Kubernetes clusters configured for multi-zone availability 

• Kafka clusters with internal replication and high-throughput optimization 

• Redis and PostgreSQL services for stateful and persistent workloads 

• Internal ingress gateways and DNS mappings for controlled access 

• Optional container registries hosted inside the enterprise project or VPC 

No shared control planes or external network dependencies exist in this model. All resources are deployed in isolated namespaces and networks. 

Kafka and Event Processing Operate Inside Dedicated Infrastructure 

Once deployed, Condense provisions and orchestrates a full event streaming pipeline entirely within the enterprise’s infrastructure. Kafka brokers form the backbone of this environment, configured with policies tuned to support the target throughput, replication factor, partition allocation, and retention. 

Kafka-native components are tightly integrated with Condense stream execution layer. These include: 

• Language-independent stream processors that consume from Kafka topics and emit enriched or filtered records based on logic authored in Python, Go, TypeScript, or visual workflows 

• Source connectors that ingest data from CAN buses, telemetry gateways, cloud APIs, MQTT brokers, or databases 

• Sink connectors that forward processed data to systems like PostgreSQL, cloud storage, webhooks, or third-party dashboards 

Every microservice is deployed as a containerized workload with its own resource boundaries, scaling parameters, and observability metadata. Real-time metrics, error traces, and event lag data are available via the platform and also integrated into the enterprise’s existing logging and monitoring systems. 

Security and Data Boundary Enforcement Is Built In 

The BYOC architecture is designed to enforce strict data boundary control from the infrastructure level upward. No data flows into vendor-owned infrastructure. Platform components operate under enterprise-issued identity and network controls. 

Security capabilities include: 

• Deployment in private subnets without open ingress by default 

• Resource tagging, IAM policies, and encryption keys managed by the enterprise 

• Access provisioning via STS tokens or managed identities scoped to deployment roles 

• Container images delivered through enterprise-specific registries 

• Secrets stored using cloud-native vaults (AWS KMS, Azure Key Vault, GCP Secret Manager) 

All audit logs, metrics, and pipeline metadata remain in enterprise infrastructure, enabling continuous monitoring via services like AWS CloudWatch, Azure Monitor, or GCP Operations Suite. 

Lifecycle Operations Are Remote-Controlled, Not Enterprise-Maintained 

Unlike DIY (do-it-yourself) or self-hosted Kafka, Condense enables enterprises to run the full platform stack without taking on operational responsibility. This is accomplished through a remote orchestration mechanism that performs lifecycle management tasks such as: 

• Monitoring infrastructure health and scaling nodes based on load 

• Rolling out patches and updates for Kafka, connectors, and stream processors 

• Recovering failed pods or stale containers with minimal disruption 

• Automatically configuring and redeploying services if drift is detected 

This orchestration is conducted through Condense control interface, which interacts securely with internal agents. These agents authenticate using scoped roles and operate under enterprise-defined security contexts. They do not access data or override policies. Instead, they act as a bridge between the enterprise’s environment and Condense deployment automation. 

The result is a fully managed runtime without relinquishing infrastructure visibility or governance. 

Stream Logic Development Without Infrastructure Complexity 

One of the core challenges in real-time systems is the distance between domain logic and platform deployment. Condense shortens this gap by providing an integrated development interface that allows application teams to build, test, and promote stream logic directly within the platform. 

Stream transformations are written in a developer-friendly IDE that supports real-time testing against live Kafka topics. Logic can be authored using code or no-code utilities, version-controlled via Git integrations, and deployed through CI/CD pipelines. Each logic module is packaged as a container, registered internally, and orchestrated within the enterprise cloud account. 

Pipeline deployment is handled automatically, with state management, failure recovery, and replay support built into the platform’s runtime. Kafka partition allocation, consumer group tracking, and error routing are managed internally—abstracting away the operational burden typically associated with custom Kafka deployments. 

Designed to Operate Within Enterprise Boundaries 

The entire Condense platform, once deployed, conforms to the operational expectations of enterprise infrastructure. Kafka is not externally exposed. Dashboards are hosted behind enterprise firewalls or made available through secure endpoints. Observability data integrates directly into the organization’s monitoring tools. All outbound traffic follows egress policies, and no control communication requires a persistent connection to vendor servers. 

This design aligns with strict compliance environments, including those in critical infrastructure, regulated mobility ecosystems, and data-sensitive industries such as banking, healthcare, and manufacturing. 

Proven Model for Production-Grade Real-Time Systems 

The BYOC architecture in Condense is not experimental. It is already operating at scale across major fleet OEMs, Tier 1 suppliers, and industrial automation platforms, handling high-volume telemetry ingestion, anomaly detection, OTA campaign orchestration, trip lifecycle classification, and compliance monitoring. 

Each deployment is fully isolated, with no multi-tenancy risk. Kafka clusters and processing runtimes are sized for the target workload and auto-scaled based on real-time resource metrics. Integration points are aligned to operational APIs, and downstream outputs can be pushed to partner systems, regulatory tools, or enterprise data lakes. 

Condense enables BYOC not by retrofitting it into a hosted system, but by architecting for it from the ground up. Each deployment operates as a self-contained real-time platform, controlled by the vendor, but owned, hosted, and governed by the enterprise. 

This approach supports: 

• Data sovereignty and cloud policy alignment 

• Full utilization of cloud credits and negotiated pricing 

• Seamless integration with IAM, observability, and compliance tooling 

• Reduction in operational overhead without compromising on infrastructure ownership 

For organizations prioritizing security, performance, and alignment with cloud strategy, Condense offers a deployment model that delivers the control of a self-managed stack with the speed and reliability of a managed service natively integrated with AWS, Azure, and Google Cloud.