Our developers have extensive experience maintaining large scale messaging and event streaming platforms for wide range of use cases — finance and banking, IoT, eCommerce, among others.
Choose from a range of SLAs to suit startups to enterprise organizations worldwide. We also cater to your urgent needs and help you build go to market products in time with our customized services and solutions.
Our developers are available to you 24/7 — making it easy for you to schedule consulting engagements when most convenient for your team.
Our Solution Architects will guide your team in building a robust and scalable model based on your use case, data volume, growth needs, and other business requirements. If needed, we’ll help you migrate from your existing messaging platform such as Kafka and RabbitMQ successfully, minimizing impact on your infrastructure.
Our engineers will support you in development and implementation of your messaging and event streaming system with Apache Kafka. We’ll make sure the configurations are setup with best practices and latest features — ready for your test and production environment.
We help you achieve optimal performance and ensure health of your Kafka clusters — while reducing your operational and maintenance costs. Finetune configurations for your use cases — optimize clusters for durability and memory usages and troubleshoot performance issues to help you operate Kafka reliably and stably in your cloud platform of choice.
Our developers have extensive experience maintaining large scale messaging and event streaming platforms for wide range of use cases — finance and banking, IoT, eCommerce, among others.
Choose from a range of SLAs to suit startups to enterprise organizations worldwide. We also cater to your urgent needs and help you build go to market products in time with our customized services and solutions.
Our developers are available to you 24/7 — making it easy for you to schedule consulting engagements when most convenient for your team.
BigData Boutique were a great help to our search team. They helped with some of the intricacies of Elastic Search and how we could integrate it with our solutions. We had some existing questions and then wanted to freestyle some investigation into our roadmap in the coming months. We collaboratively had some working prototypes at the end of period which will hopefully lead to some great new product features around search experiences at OpenTable.
BigData Boutique's Itamar has been awesome in helping us improve our storage support in NServiceBus and improving our line of DevOps products in the Particular Platform.
We have someone to go to for questions around Elasticsearch now. We are constantly exploring the potential for further use of Elasticsearch, and they are a very valuable resource for that.
Most Kafka consulting engagements start with one of these problems. If yours is on the list, our Kafka consultants have fixed it before.
Partitions sized for last year, hot keys, and consumers that rebalance every deploy. We fix partition strategy, consumer configuration, and the producers that cause the skew.
Disk, page cache, and network settings left at defaults, replication that cannot keep up, and no capacity plan. We tune the cluster and give you the numbers to size the next one.
Upgrades that have been postponed for years, including the KRaft migration, done with a rollback plan and without a maintenance window your customers notice.
Managed Kafka bills, over-replicated topics, and retention nobody reviewed. We cut what is not needed and help you decide between self-managed, MSK, Confluent, and alternatives.
Kafka is fine; the pipeline around it is not. We design the Kafka Connect, Flink, and ClickHouse layers that turn events into something the business can query.
The engineer who set it up left. We take over operations under a support plan or embed a senior engineer with your team until it has an owner again.
A 30-minute call about your cluster and the problem. You meet the engineer who will lead the work.
A one- to two-week review of brokers, topics, producers, and consumers that produces a prioritized findings report.
Changes made with your team, in staging first, with throughput and lag measured before and after.
Runbooks for your team, an hours bank, or a production support plan with an SLA.
Architecture and topic design, capacity planning, performance tuning, upgrades and KRaft migrations, security and multi-tenancy, Kafka Connect and stream processing with Flink or Kafka Streams, cost reviews, and production support with an SLA. We work with self-managed Kafka, Amazon MSK, Confluent Cloud and Platform, and Redpanda.
Assessments, migrations, and tuning sprints are quoted as fixed-scope projects. Ongoing work runs on a pre-paid hours bank or monthly retainer, and production coverage is an annual support plan with an SLA. We do not publish list prices; you receive a written quote, and meet the engineer leading the work, before anything is billed.
No long-term commitment is required. Most clients start with a one- to two-week Kafka cluster assessment or a small hours bank and decide whether to continue after seeing the findings.
Yes. We plan and run Kafka version upgrades and ZooKeeper to KRaft migrations as rolling operations with a tested rollback, including the client and Connect compatibility work that usually causes the surprises.
Yes. Our enterprise support plans cover Kafka clusters with defined response times, on-call coverage, upgrades, and proactive reviews. Many clients combine a support plan with a small hours bank for architecture questions.
It depends on your team, your throughput, and your budget. We are vendor-neutral and have run all of the options in production, so we can give you the numbers for self-managed Kafka on Kubernetes or VMs, Amazon MSK, Confluent, and Redpanda for your workload rather than a generic recommendation.
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Get in touch with our Kafka experts or schedule a meeting to discuss your needs.
