Topology and tenancy
We design topic hierarchies, namespace boundaries, and consumer group strategies that stay manageable as teams and data volumes grow.
Service 04
Event-driven & messaging systems
Event-driven and messaging system consulting for teams whose Kafka or streaming setup works at low volume — and is starting to break as they scale.
Why this service
Kafka is easy to set up. It's hard to operate once topics multiply and consumers start drifting.
Streaming systems break in a specific pattern: early setup is fast, then producers evolve independently, consumers fall behind, and nobody owns the schema contracts. Topics accumulate, replay becomes dangerous, and the team loses operational clarity over what's flowing where. This service imposes governance before that happens — or untangles it after it already has.
Focus areas
What this service covers.
Schema and contract strategy
We introduce schema registries, compatibility rules, and contract validation so producers and consumers evolve independently — without silent failures on either side.
Consumer reliability
We implement lag alerting, dead-letter queues, offset management, and replay strategies that give operators real control over what the streaming system does.
Detailed offerings
Service modules for architecture, platform, and execution.
Each module can run independently or as part of a larger modernization program.
Event architecture and topology design
We define topic hierarchy, namespace strategy, and data-flow boundaries aligned to domains and operational ownership.
- Domain-driven event modeling with bounded-context alignment
- Topic naming, partitioning, and retention strategy
- Cross-team ownership boundaries and tenancy model
Schema and contract governance
We implement schema governance so producers and consumers can evolve safely without hidden contract breakage.
- Schema registry strategy and compatibility policies
- Producer and consumer contract testing patterns
- Versioning and deprecation workflow for event contracts
Consumer reliability engineering
We design resilient consumer behavior for retries, dead-letter handling, and replayable processing.
- Offset and idempotency patterns for high-throughput consumers
- Dead-letter queue and poison-message handling strategy
- Replay orchestration and backfill execution guidance
Streaming operations and observability
We enable end-to-end visibility across lag, throughput, error states, and contract health signals.
- Lag and throughput monitoring with actionable alert thresholds
- Consumer group health dashboards and incident telemetry
- Operational runbooks for replay, reprocessing, and outage scenarios
Security, compliance, and platform controls
We align messaging architecture with security and governance requirements in regulated or high-risk systems.
- Access controls by topic, team, and environment
- Encryption, credential management, and audit trail patterns
- Data lifecycle controls for retention and compliance requirements
Engagement models
Ways we deliver this service.
Choose a delivery format that matches urgency, scope, and internal capacity.
Topology and governance assessment
A focused engagement to diagnose structural risks in existing streaming and messaging systems.
Event platform design program
A full design phase covering topology, schema governance, reliability, and operational standards.
Modernization execution support
Embedded support for consumer migration, replay strategy rollout, and production stabilization.
What you receive
Concrete deliverables, not generic recommendations.
Every engagement ends with artifacts your teams can execute and maintain.
- Event architecture blueprint with topology and ownership model
- Schema governance standards and compatibility policy
- Consumer reliability patterns for retries, replay, and dead-letter handling
- Operational observability baseline and incident runbooks
- Security and compliance controls aligned to messaging infrastructure
- Adoption roadmap for phased migration to event-driven patterns
Target outcomes
Business and engineering impact we optimize for.
40%+
Reduction in contract-related production incidents
Schema governance and compatibility controls reduce silent producer-consumer breakage.
25-50%
Faster incident diagnosis in streaming operations
Improved observability and runbook standards shorten diagnosis and recovery cycles.
30%
Improvement in consumer reliability
Idempotency, replay, and dead-letter handling patterns increase operational consistency.
Common questions
How this engagement works in practice.
Is this limited to Kafka?
No. The service applies to Kafka ecosystems and other event-bus or queue-based platforms where governance and reliability are critical.
Can this include legacy queue modernization?
Yes. We support phased migration from legacy queue architectures into event-driven models with controlled transition patterns.
Do you help with operating model and ownership too?
Yes. We define ownership, escalation, and governance structures so streaming platforms remain manageable as teams scale.
Other services
More ways Karman can help.
Ready to engage?
Start with the problem. We'll take it from there.
Platform reviews, architecture consulting, or a scoping conversation — we scope engagements quickly.