Meet Security & Compliance Standards
Ksolves: Your Trusted Apache Kafka Development & Consulting Partner
Apache Kafka has become the backbone of modern, event-driven enterprises, powering everything from fraud detection systems to real-time recommendation engines. But standing up a production-grade Kafka environment that is secure, fault-tolerant, and capable of handling millions of events per second takes more than downloading a binary and starting a broker.
That's where Ksolves comes in. As an experienced Apache Kafka development company, we bring certified Kafka developers, architects, and site reliability engineers who have designed, deployed, and supported Kafka clusters for organizations across 30+ countries. Whether you need Kafka consulting for a greenfield architecture, Kafka development for a new streaming application, or an Apache Kafka development service to extend your existing team, or ongoing support for an existing cluster, our team delivers solutions engineered for scale, security, and long-term reliability.
Our Apache Kafka Development Services
Ksolves offers a full spectrum of Apache Kafka development services, from initial architecture and cluster setup through application development, integration, security hardening, and 24/7 support.
Apache Kafka Consulting
Before a single broker goes live, our Kafka consultants assess your data volume, latency requirements, and existing infrastructure to recommend the right deployment model: bare metal, Kubernetes, or a managed cloud service such as Confluent Cloud or Amazon MSK. Our Apache Kafka consulting engagements typically cover:
- Readiness assessments and use-case-to-architecture mapping
- Topic design, partitioning strategy, and replication planning
- KRaft vs. ZooKeeper mode evaluation and migration guidance
- Capacity planning and total cost of ownership analysis
- Build-vs-buy guidance for Confluent Platform and other enterprise Kafka offerings
Apache Kafka Cluster Setup & Architecture
Our certified Kafka developers design and stand up production-ready clusters tailored to your environment, including:
- Multi-broker cluster deployment on bare metal, Kubernetes, or cloud (AWS, Azure, GCP)
- KRaft-based clusters (ZooKeeper-free) as well as traditional ZooKeeper-coordinated setups
- Deployment on distributed platforms such as Confluent and Red Hat AMQ Streams
- Multi-datacenter and multi-region cluster topologies for disaster recovery
Apache Kafka Application Development
Build real-time data pipelines and streaming applications with fault tolerance and high throughput. Our Apache Kafka developers build producer/consumer applications, stream-processing services, and event-driven microservices using the languages and frameworks your team already relies on:
- Custom producer and consumer applications in Java, Python, Scala, and Spring Boot
- Custom Kafka Connect source and sink connector development for proprietary systems, plus configuration of built-in connectors for standard integrations
- Kafka Streams and ksqlDB applications for stateful stream processing
- Schema management using Schema Registry with Avro and Protobuf
- Exactly-once semantics (EOS) and dead-letter queue design patterns
Kafka Integration Services
Stream data in real time from diverse sources by harnessing the power of Kafka integration! Count on our seasoned Apache Kafka developers to flawlessly integrate Kafka with an array of data sources. We work closely with you to understand your data sources, destinations, and integration requirements. Benefit from seamless connections to:
- Big data tools like Spark, Flink, and NiFi for high-speed stream processing and data flow orchestration.
- Cloud services for scalable and flexible data management.
- Databases for smooth data exchange.
- Web applications to facilitate real-time communication.
- IoT devices for comprehensive data collection and analysis
Our professionals leverage Kafka Connect to establish connectors between Kafka and other data sources with minimal configuration-level changes, eliminating the need to write complex code.
Kafka Security & Performance Optimization
Fortify your Kafka cluster against security threats and optimize it for peak performance with us! Our seasoned experts are adept at scrutinizing your current Kafka infrastructure and offering suggestions to enhance operational efficiency and maximize performance.
The procedure encompasses:
- Conducting an exhaustive diagnostic assessment of your Kafka infrastructure.
- Uncovering issues and bottlenecks that hinder performance.
- Providing tailored recommendations to fine-tune Kafka configurations, ensuring optimal throughput, resource utilization, and latency.
Entrust the security of your Kafka infrastructure to our expert hands. We at Ksolves understand the importance of data security and implement avant-garde security protocols to safeguard your Kafka deployment from potential threats.
Our team of experts boasts extensive experience in enabling:
- Authentication using SASL, LDAP, and beyond
- Authorization to forestall unauthorized entry to a cluster
- Encryption of client–broker and inter-broker communication over TLS/SSL.
Kafka Cluster Failover & Disaster Recovery
Ensure the continuity of your Kafka cluster and minimize downtime in the event of any unforeseen circumstances. Our Kafka developers design failover strategies that keep your systems processing data even during a regional outage. This includes:
- Mirroring the original Kafka cluster and replicating all of its data into a redundant standby cluster using tools like MirrorMaker 2
- Automatic activation of the redundant cluster in the event of a data center outage or infrastructure failure, ensuring uninterrupted data processing and high availability
- Deployment of Kafka clusters in Kubernetes to automate failover activation in response to the failure of the primary cluster
- Regular failover testing and runbook documentation so your team knows exactly what happens during a real incident
Kafka Support & Maintenance
Maximize the uptime of your Kafka infrastructure with our dedicated support and maintenance services! At Ksolves, we understand the crucial role of Kafka in your data architecture and prioritize proactive measures, such as patching, maintenance, continuous monitoring, and ongoing support.
- Patching: Our team stays vigilant for any bugs or vulnerabilities within your Kafka cluster and promptly applies patches and updates to address them, mitigating the risk of security breaches and ensuring the cluster’s stability.
- Maintenance: With regular system checks, performance tuning, and resource optimization, we ensure the health and longevity of your Kafka infrastructure.
- Continuous Monitoring: Our experts proactively monitor your Kafka environment to diagnose and address lag issues, whether caused by network congestion or disk I/O bottlenecks. We employ optimizations and tuning strategies to reduce lag and elevate your cluster’s responsiveness.
- 24/7 Availability: Our dedicated support team is available round-the-clock to address any issues you encounter. Count on us to get timely assistance, whether it is during business hours or in the middle of the night.
Kafka Migration Services
Moving between Kafka distributions or off a legacy message broker entirely? Our developers plan and execute migrations with minimal downtime and no message loss, including:
- Legacy broker (ActiveMQ, RabbitMQ, IBM MQ) to Kafka migration
- Confluent-to-open-source Kafka migration, and vice versa
- Self-hosted to cloud-managed Kafka migration (Confluent Cloud, Amazon MSK, Azure Event Hubs)
- ZooKeeper-to-KRaft migration planning and execution
Our Apache Kafka Development Services
Ksolves offers a full spectrum of Apache Kafka development services, from initial architecture and cluster setup through application development, integration, security hardening, and 24/7 support.
Apache Kafka Consulting
Before a single broker goes live, our Kafka consultants assess your data volume, latency requirements, and existing infrastructure to recommend the right deployment model: bare metal, Kubernetes, or a managed cloud service such as Confluent Cloud or Amazon MSK. Our Apache Kafka consulting engagements typically cover:
- Readiness assessments and use-case-to-architecture mapping
- Topic design, partitioning strategy, and replication planning
- KRaft vs. ZooKeeper mode evaluation and migration guidance
- Capacity planning and total cost of ownership analysis
- Build-vs-buy guidance for Confluent Platform and other enterprise Kafka offerings
Apache Kafka Cluster Setup & Architecture
Our certified Kafka developers design and stand up production-ready clusters tailored to your environment, including:
- Multi-broker cluster deployment on bare metal, Kubernetes, or cloud (AWS, Azure, GCP)
- KRaft-based clusters (ZooKeeper-free) as well as traditional ZooKeeper-coordinated setups
- Deployment on distributed platforms such as Confluent and Red Hat AMQ Streams
- Multi-datacenter and multi-region cluster topologies for disaster recovery
Apache Kafka Application Development
Build real-time data pipelines and streaming applications with fault tolerance and high throughput. Our Apache Kafka developers build producer/consumer applications, stream-processing services, and event-driven microservices using the languages and frameworks your team already relies on:
- Custom producer and consumer applications in Java, Python, Scala, and Spring Boot
- Custom Kafka Connect source and sink connector development for proprietary systems, plus configuration of built-in connectors for standard integrations
- Kafka Streams and ksqlDB applications for stateful stream processing
- Schema management using Schema Registry with Avro and Protobuf
- Exactly-once semantics (EOS) and dead-letter queue design patterns
Kafka Integration Services
Stream data in real time from diverse sources by harnessing the power of Kafka integration! Count on our seasoned Apache Kafka developers to flawlessly integrate Kafka with an array of data sources. We work closely with you to understand your data sources, destinations, and integration requirements. Benefit from seamless connections to:
- Big data tools like Spark, Flink, and NiFi for high-speed stream processing and data flow orchestration.
- Cloud services for scalable and flexible data management.
- Databases for smooth data exchange.
- Web applications to facilitate real-time communication.
- IoT devices for comprehensive data collection and analysis
Our professionals leverage Kafka Connect to establish connectors between Kafka and other data sources with minimal configuration-level changes, eliminating the need to write complex code.
Kafka Security & Performance Optimization
Fortify your Kafka cluster against security threats and optimize it for peak performance with us! Our seasoned experts are adept at scrutinizing your current Kafka infrastructure and offering suggestions to enhance operational efficiency and maximize performance.
The procedure encompasses:
- Conducting an exhaustive diagnostic assessment of your Kafka infrastructure.
- Uncovering issues and bottlenecks that hinder performance.
- Providing tailored recommendations to fine-tune Kafka configurations, ensuring optimal throughput, resource utilization, and latency.
Entrust the security of your Kafka infrastructure to our expert hands. We at Ksolves understand the importance of data security and implement avant-garde security protocols to safeguard your Kafka deployment from potential threats.
Our team of experts boasts extensive experience in enabling:
- Authentication using SASL, LDAP, and beyond
- Authorization to forestall unauthorized entry to a cluster
- Encryption of client–broker and inter-broker communication over TLS/SSL.
Kafka Cluster Failover & Disaster Recovery
Ensure the continuity of your Kafka cluster and minimize downtime in the event of any unforeseen circumstances. Our Kafka developers design failover strategies that keep your systems processing data even during a regional outage. This includes:
- Mirroring the original Kafka cluster and replicating all of its data into a redundant standby cluster using tools like MirrorMaker 2
- Automatic activation of the redundant cluster in the event of a data center outage or infrastructure failure, ensuring uninterrupted data processing and high availability
- Deployment of Kafka clusters in Kubernetes to automate failover activation in response to the failure of the primary cluster
- Regular failover testing and runbook documentation so your team knows exactly what happens during a real incident
Kafka Support & Maintenance
Maximize the uptime of your Kafka infrastructure with our dedicated support and maintenance services! At Ksolves, we understand the crucial role of Kafka in your data architecture and prioritize proactive measures, such as patching, maintenance, continuous monitoring, and ongoing support.
- Patching: Our team stays vigilant for any bugs or vulnerabilities within your Kafka cluster and promptly applies patches and updates to address them, mitigating the risk of security breaches and ensuring the cluster’s stability.
- Maintenance: With regular system checks, performance tuning, and resource optimization, we ensure the health and longevity of your Kafka infrastructure.
- Continuous Monitoring: Our experts proactively monitor your Kafka environment to diagnose and address lag issues, whether caused by network congestion or disk I/O bottlenecks. We employ optimizations and tuning strategies to reduce lag and elevate your cluster’s responsiveness.
- 24/7 Availability: Our dedicated support team is available round-the-clock to address any issues you encounter. Count on us to get timely assistance, whether it is during business hours or in the middle of the night.
Kafka Migration Services
Moving between Kafka distributions or off a legacy message broker entirely? Our developers plan and execute migrations with minimal downtime and no message loss, including:
- Legacy broker (ActiveMQ, RabbitMQ, IBM MQ) to Kafka migration
- Confluent-to-open-source Kafka migration, and vice versa
- Self-hosted to cloud-managed Kafka migration (Confluent Cloud, Amazon MSK, Azure Event Hubs)
- ZooKeeper-to-KRaft migration planning and execution
Why You Need Apache Kafka
Consulting & Implementation Services
Installing Kafka is easy. Running it at scale, without downtime, data loss, or budget overruns, is not. That's where expert consulting makes the difference.
Our Apache Kafka Development Process
We follow a structured, transparent delivery process so you always know what's happening with your Kafka project and why.
Step 1: Discovery & Requirement Analysis
We start by understanding your data volumes, latency needs, compliance obligations, and existing tech stack, so the resulting architecture is grounded in your real constraints, not a generic template.
Step 2: Architecture & Solution Design
Our Kafka architects translate requirements into a concrete design: topic structure, partitioning and replication strategy, security model, and deployment topology (on-premise, cloud, or hybrid).
Step 3: Proof of Concept (PoC)
For complex or first-time Kafka adopters, we build a scoped PoC to validate the architecture against real data before committing to full-scale development, reducing risk and surprises later.
Step 4: Development & Integration
Our Kafka developers build the producer/consumer applications, stream-processing logic, and connectors needed to integrate Kafka with your databases, cloud services, and downstream systems.
Step 5: Testing & Quality Assurance
We test for functional correctness, failure scenarios (broker loss, network partition, consumer rebalance), and load behavior under peak traffic conditions before anything reaches production.
Step 6: Deployment & Go-Live
We deploy using controlled rollout strategies, monitor closely during cutover, and validate that throughput, latency, and data integrity match expectations.
Step 7: Support, Monitoring & Optimization
Post-launch, our team provides ongoing monitoring, patching, and performance tuning, so your Kafka environment continues to perform as your data volumes grow.
Our Apache Kafka Development Process
We follow a structured, transparent delivery process so you always know what's happening with your Kafka project and why.
Step 1: Discovery & Requirement Analysis
We start by understanding your data volumes, latency needs, compliance obligations, and existing tech stack, so the resulting architecture is grounded in your real constraints, not a generic template.
Step 2: Architecture & Solution Design
Our Kafka architects translate requirements into a concrete design: topic structure, partitioning and replication strategy, security model, and deployment topology (on-premise, cloud, or hybrid).
Step 3: Proof of Concept (PoC)
For complex or first-time Kafka adopters, we build a scoped PoC to validate the architecture against real data before committing to full-scale development, reducing risk and surprises later.
Step 4: Development & Integration
Our Kafka developers build the producer/consumer applications, stream-processing logic, and connectors needed to integrate Kafka with your databases, cloud services, and downstream systems.
Step 5: Testing & Quality Assurance
We test for functional correctness, failure scenarios (broker loss, network partition, consumer rebalance), and load behavior under peak traffic conditions before anything reaches production.
Step 6: Deployment & Go-Live
We deploy using controlled rollout strategies, monitor closely during cutover, and validate that throughput, latency, and data integrity match expectations.
Step 7: Support, Monitoring & Optimization
Post-launch, our team provides ongoing monitoring, patching, and performance tuning, so your Kafka environment continues to perform as your data volumes grow.
Why Choose Ksolves?
With our expert team of Apache Kafka developers, client-centric approach, and commitment to excellence, we stand out as a leading Apache Kafka development company. We specialize in offering top-notch solutions tailored to your needs with our extensive experience and expertise.
90%
Client Retention
Rate
750+
Projects Successfully
Delivered
NSE & BSE
Publicly Listed
Company
600+
Workforce and still
growing
350+
Certifications
200+
Happy Clients
24x7
Support Across All Time Zones
Our Diverse Industry Reach
We take satisfaction in crafting unique solutions with precision to address the unique demands of different industry sectors.
Telecom
Real-time Kafka pipelines for network telemetry, CDR streaming, and carrier-scale disaster recovery.
Healthcare
HIPAA-compliant Kafka pipelines for HL7/FHIR event streaming and audit-ready patient data.
E-Commerce
Kafka CDC pipelines keeping order, inventory, and customer data in sync across every channel.
Fintech
Kafka pipelines for transaction streaming, fraud detection, and regulatory reporting.
Entertainment
High-throughput Kafka topics for engagement events, content metadata, and recommendations.
Manufacturing
Shop floor sensors and MES systems streamed into Kafka for predictive maintenance.
Retail
Kafka pipelines unifying POS, loyalty, and customer data across physical and digital channels.
Banking & Financial Services
Encrypted, audit-ready Kafka pipelines for compliant regulatory reporting.
Logistics & Supply Chain
Kafka pipelines for shipment tracking, warehouse telemetry, and carrier events.
Technology & SaaS
Kafka-driven microservices communication and multi-tenant analytics pipelines.
Customer Success Stories
Discover some intriguing stories of our journey in developing Apache Kafka solutions for our clients, showcasing impactful outcomes.
Telecom
Kafka Disaster Recovery Across AWS & Azure
Challenge
No cross-cloud failover existed; a single cloud outage caused immediate data loss and broken SLA commitments.
Solution
Deployed Kafka MirrorMaker 2 for bidirectional replication across AWS and Azure clusters with TLS security, selective topic mirroring, automatic failover, and real failure testing.
Sub-30s
RTO Confirmed
Telecom
Confluent to Open-Source Kafka Migration
Challenge
High Confluent licensing fees and vendor lock-in required urgent migration with zero downtime across 24x7 critical apps.
Solution
Ran full topology assessment, configured MirrorMaker 2 for live replication, executed phased app cutover, preserved schema compatibility, and safely decommissioned Confluent.
100%
Data Consistency Maintained
Networking / ISP
Predictive Cable Network Analytics Platform
Challenge
Legacy RDBMS couldn't store or query time-series data from millions of cable modem IoT devices at scale.
Solution
Deployed a 5-node Apache NiFi cluster and 10-node Cassandra cluster with a redesigned data model and elastic zero-downtime scaling capability.
Elastic Scaling
Zero Downtime
Telecommunication
Real-Time Fraud Detection System Using Apache Kafka and Spark
Challenge
Burst Fraud flooded the platform with abnormal event spikes, needing detection at up to 150,000 events/second with no room for batch processing.
Solution
Built a closed-loop system using Apache Kafka and Spark Structured Streaming; flags any Device_ID exceeding 20 requests in a 30-second window and triggers an instant Suppress command.
150K EPS
Real-Time Fraud Detection at Peak Scale
Healthcare
Zero-Downtime Kafka to Redpanda Migration
Challenge
Managed Kafka costs and operational complexity became unsustainable; migration needed 100% data integrity and zero downtime.
Solution
Used MirrorMaker 2.0 with source, checkpoint, and heartbeat connectors for live replication; implemented phased validation and auto-failover before full cutover.
38%
Lower Streaming Costs · Zero Downtime
Knowledge Corner
Delve into the perspectives and insights shared by industry experts and immerse yourself in wisdom.
Frequently Asked Questions
We tried to answer most of the common questions related to Apache Kafka. If you do not find your query listed, feel free to connect with us.
Apache Kafka is a distributed event streaming platform used for real-time data ingestion, log aggregation, event sourcing, and feeding analytics pipelines built on tools like Apache Spark and Hadoop.
Neither, exactly. Kafka is a distributed commit log that combines characteristics of both: it stores events durably like a database and delivers them to consumers like a message queue, which is why it’s better described as an event streaming platform.
An Apache Kafka development company like Ksolves handles the full lifecycle of a Kafka deployment: architecture and cluster design, application development, security hardening, integration with existing systems, performance tuning, and ongoing support, so your internal team doesn’t have to build this expertise from scratch.
Cost depends on cluster size, number of integrations, security requirements, and whether you need a one-time setup or ongoing support. Most Apache Kafka consulting engagements start with a scoping call so you get an accurate estimate based on your actual requirements rather than a generic quote.
General backend experience helps, but Kafka’s distributed architecture, partitioning, replication, consumer group rebalancing, and exactly-once semantics have enough nuance that production issues are common without dedicated expertise. Hiring a Kafka-certified developer reduces the risk of misconfigured topics, data loss, and performance bottlenecks.
Kafka consulting focuses on architecture decisions, readiness assessments, and strategic planning, essentially answering how something should be built. An Apache Kafka development service covers the hands-on implementation: writing producer and consumer applications, configuring clusters, and building integrations. Most engagements, including ours, blend both.
Open-source Apache Kafka itself is free. Costs come from infrastructure (servers, cloud, storage), the engineering time to set it up and maintain it, and optionally from commercial platforms like Confluent that add management tooling and enterprise support on top.
Kafka is built for high-throughput event streaming and replayable logs, while RabbitMQ is built for traditional message queuing with flexible routing. Kafka generally scales further for event-driven architectures; RabbitMQ can be simpler to operate for smaller, routing-heavy use cases.
Yes. We work across both open-source Apache Kafka and commercial platforms like Confluent, and can advise on which is the right fit for your budget, compliance needs, and operational maturity.
Yes. Kafka can run self-managed on any cloud provider, or as a managed service through offerings like Amazon MSK, Confluent Cloud, or Azure Event Hubs for Kafka. Our Kafka developers can help you choose and deploy the right option for your workload.
Reach out to our team at sales@ksolves.com or submit a project inquiry through our website, and a Kafka consultant will follow up to scope your requirements.
