AUSTIN KAFKA CONSULTING
Real-time data streaming solutions in Austin
Apache Kafka consulting services in Austin from DESSS help product and engineering teams build event-driven systems that scale. We provide Kafka architecture consulting in Austin, Kafka implementation services in Austin, real-time data streaming solutions in Austin, migration, performance tuning, security, monitoring and ongoing support.
Austin is full of SaaS platforms, startups growing into enterprises and hardware and semiconductor firms with busy manufacturing data. Their common need is to react to events as they happen: a user action that updates a feed, a usage record that drives billing, a machine reading that flags a quality issue. Kafka connects microservices, analytics and machine learning to those events without slowing the core product down.
Kafka is often paired with cloud and data platform work. See our cloud consulting in Austin and big data consulting in Austin pages for that side of the stack.
When to call us
When you are starting with Kafka, scaling it, moving it or struggling to keep it stable.
What you receive
A clear architecture, a working platform, monitoring and a team ready to run it.
Who it is for
Engineering, data and platform teams, and the IT leaders responsible for them.
Where we work
From our Austin office, backed by our Houston headquarters, for clients across Texas.
OUR SERVICES
Apache Kafka consulting services in Austin
Ten services cover the Kafka needs of growing product teams, from the first design to production support.
Kafka Assessment and Architecture Design
A review of your use cases, data volumes and current setup, followed by a cluster, topic and partition design that fits them.
Kafka Implementation and Deployment
Clusters built on premises, on Kubernetes or in the cloud, deployed with infrastructure as code so every environment matches.
Real-Time Data Streaming Pipelines
Producers, consumers, Kafka Connect and stream processing that move and transform data the moment it is created.
Kafka Migration Services
Kafka migration services for version upgrades, ZooKeeper to KRaft, data center to cloud, or moves from other messaging systems.
Kafka Performance Tuning and Optimization
Kafka performance tuning and optimization of brokers, partitions, producers and consumers to cut lag and raise throughput.
Confluent Platform Consulting
Confluent Platform consulting for Schema Registry, ksqlDB, connectors, Control Center and Confluent Cloud.
Kafka Security and Monitoring
Kafka security and monitoring with TLS, SASL, ACLs, audit logging, metrics, dashboards and alerts.
Event-Driven Architecture Consulting
Event design, domain boundaries and patterns such as event sourcing, CQRS and the outbox pattern.
Kafka Managed Services and Support
Ongoing monitoring, upgrades, capacity planning and incident response for production clusters.
Application and System Integration
Kafka connected to databases, ERP, CRM, data warehouses and cloud services through connectors and APIs.
COMMON PROJECTS
Kafka architecture consulting in Austin, project by project
The Kafka projects Austin teams bring to us most often, and how we approach each one.
Kafka implementation services in Austin
How do we get Kafka into production the right way? Our Kafka implementation services in Austin start from the architecture, not the install. We size brokers and storage from real throughput and retention needs, choose between self-managed Kafka, Confluent Platform and a managed cloud service, and deploy with Terraform, Helm or Ansible so test and production stay identical. Security, monitoring and backups are part of the first release.
–Sizing from real throughput
–Self-managed or cloud options
–Infrastructure as code
–Security from day one
Event-driven architecture consulting in Austin
How should our services talk to each other? Event-driven architecture consulting in Austin helps teams move from tightly coupled point-to-point calls to services that publish and react to events. We define event types, topic naming and ownership, schema rules and versioning, and we pick the right patterns, such as event sourcing, CQRS or the outbox pattern, for each part of the system.
Learn more about our application integration consulting.
–Event and topic design
–Schema versioning rules
–Outbox and CQRS patterns
–Clear topic ownership
Kafka migration services
How do we move without losing data? Kafka migration services cover version upgrades, the move from ZooKeeper to KRaft, data center to cloud moves and migration from systems such as RabbitMQ, IBM MQ or ActiveMQ. We use MirrorMaker 2 or Cluster Linking to replicate data, move consumers in planned waves and keep a tested rollback path at every step.
–Upgrades and KRaft moves
–Cloud and data center moves
–Replication with MirrorMaker 2
–Tested rollback plans
Confluent Platform consulting
Should we use Confluent or open source? Confluent Platform consulting starts with an honest comparison of open-source Kafka, Confluent Platform and Confluent Cloud for your needs and budget. Where Confluent fits, we set up Schema Registry, connectors, ksqlDB, role-based access and Control Center, and help you use Cluster Linking and tiered storage where they add value.
–Open source vs Confluent review
–Schema Registry and connectors
–ksqlDB stream processing
–Role-based access control
Kafka managed services and support in Austin
Who keeps the platform healthy after launch? Kafka managed services and support in Austin keep production clusters stable after go-live. We watch broker health, consumer lag, disk use and under-replicated partitions, apply patches and upgrades in planned windows, review capacity as volumes grow and respond when something breaks. Support can be a full service or back-up for your own team.
–Lag and broker monitoring
–Planned patches and upgrades
–Capacity reviews
–Incident response
HOW WE WORK
How a Kafka engagement runs
Our Apache Kafka consulting services follow six steps, from the first workshop to stable operations.
STEP 01
Assess
We review use cases, data volumes, latency targets and any existing Kafka or messaging setup.
STEP 02
Design
Cluster layout, topics, partitions, schemas, security and Kafka security and monitoring needs are agreed.
STEP 03
Build
Clusters, connectors and streaming pipelines are deployed as code in test environments.
STEP 04
Test
Load, failover and recovery tests confirm throughput, latency and data safety.
STEP 05
Launch
Producers and consumers move to production in planned stages with rollback ready.
STEP 06
Run
We hand over runbooks and dashboards, then tune, upgrade and support as agreed.
RELATED SERVICES
Services that work alongside Kafka
Streaming data has to land somewhere useful. DESSS can help with the systems around Kafka too.
WHY DESSS
Why choose DESSS for event-driven architecture consulting in Austin
Product teams need a Kafka platform that keeps up with releases instead of slowing them down.
Built to scale early
Partitioning, schemas and topic design that hold up as traffic grows tenfold.
Developer friendly
Client libraries, schema rules and local test setups that make Kafka easy for developers to use correctly.
Cost aware
Retention, tiered storage and right-sized clusters keep cloud and Confluent bills under control.
An office in Austin
Design sessions and go-live support can happen in person with your team.
DESSS Kafka consulting covers assessment and architecture design, implementation and deployment, real-time streaming pipelines, migration, performance tuning, Confluent Platform consulting, security and monitoring, event-driven architecture consulting, managed support and integration with your other systems.
Often, but not always. Kafka is a strong fit when several services need the same events, when you need replay or when volumes are high. For simpler cases a lighter queue may be enough. We assess your use case first and recommend what fits.
Yes. We review partitions, retention, replication, cluster size and data transfer, and adjust them to cut cost without losing reliability. Tiered storage and better compression often make a noticeable difference.
It depends on your team, your compliance needs and your cloud strategy. Self-managed Kafka gives the most control, while Amazon MSK, Confluent Cloud or Azure Event Hubs reduce day-to-day operations. We compare the options against your workload before you commit.
Yes. Newer Kafka versions run without ZooKeeper using KRaft. We plan the upgrade path, test it in a copy of your environment and migrate production in planned steps with a rollback option.
AUSTIN KAFKA CONSULTING
Talk to us about Apache Kafka consulting services in Austin
Book a short call about Apache Kafka consulting services in Austin. Tell us about your product, your event volumes and where Kafka fits today, and we will outline a practical next step.
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