ScienceSoft Global
Healthcare
Finance
Apache Kafka Consulting Services
Our Expertise, Your Kafka Excellence
With experience in big data since 2013, ScienceSoft is a powerhouse of Apache ecosystem experts that optimize underperforming Kafka-powered apps and deliver efficient Kafka-based software.
Apache Kafka consulting services help businesses implement efficient and scalable software powered by Apache Kafka. With experience in big data since 2013, ScienceSoft provides expert consulting, modernization, and development services for Kafka-based apps. We don’t just fix granular Kafka issues — our goal is to leave you with a high-performing, cost-effective, and easy-to-maintain system optimized for your business needs.
What We Cover
Apache Kafka use cases
- Real-time big data processing pipelines.
- Real-time streaming analytics.
- Apache Kafka for microservices.
- Apache Kafka for databases.
- ETL/ELT with Apache Kafka.
- Apache Kafka for fault tolerance (data replication across node network).
Apache Kafka deployment options
- Open-source Kafka clusters on Windows, Linux, and cloud platforms.
- Apache Kafka on HDInsight.
- Amazon Managed Streaming for Apache Kafka (Amazon MSK).
Apache Kafka alternatives
- Amazon Kinesis Data Streams.
- Azure Event Hubs.
- RabbitMQ.
Our Services
Kafka consulting
- Business needs assessment and solution planning.
- Designing a performant, secure, and resilient Kafka architecture.
- Technical and economic feasibility study.
- Redesigning legacy software for Kafka implementation.
- Advising on Apache Kafka supporting or related technologies.
- Configuring Kafka.
Kafka optimization
- Kafka performance tuning (e.g., adding more threads, increasing batch size, adjusting consumer groups, producer and consumer parameters, adding more instances, adjusting partitions, tuning TCP buffer sizes, and more).
- Picking the right instances for Kafka clusters to maximize throughput and resiliency without over-provisioning.
- Setting up a Kafka cluster that enables mirroring to multiple regions to provide disaster recovery.
- Setting up a virtual private cloud (VPC) and subnets to survive a single availability zone failure.
Kafka implementation
- Implementing high-speed, cloud-native apps or microservices, including custom front-end and back-end parts.
- Testing Kafka-based apps.
- Setting up Kafka monitoring and log forwarding to tracking and management services, like CloudWatch.
- Automating routine tasks like Kafka backups and updates.
- Automating VPC, Subnet, Placement groups.
- Securing Kafka data at rest and in transit.
Kafka support and troubleshooting
- Application modernization.
- Migrating to cloud versions of Kafka, integrating on-premises and cloud-based parts.
- Application monitoring and support.
- Emergency and strategic troubleshooting, upgrades, and geo-replication.
- Disaster recovery management.
Haven’t Found the Kafka Service You Were Looking For?
With over a decade of experience with Apache ecosystem, our consultants are no strangers to unique Kafka implementations and are always eager to take on a new challenge. Even if your needs aren’t listed in the table above, drop us a line: chances are, our Kafka consultants can accommodate your request.
What Makes ScienceSoft a Trusted Apache Kafka Consultancy
- In software development since 1989.
- Building end-to-end big data solutions since 2013.
- Building microservices architectures since 2016.
- Proficiency in AI/ML and blockchain.
- 750+ experts on board, including big data solution architects with 7+ years of experience, software engineers, Kafka developers, data scientists, DataOps engineers, security experts, QA engineers, and more.
- Since 2013 in DevOps, providing all necessary automation for successful software development and evolution.
- Established project management practices to deliver projects on time, on budget, and within the agreed scope regardless of arising constraints.
- An ISO 9001- and ISO 27001-certified quality and information security management systems to guarantee consistent service quality and full protection of our clients’ data.
Our Big Data Tech Stack
Apache projects and tools
- Apache Kafka
- Apache Kafka Connect
- Apache Kafka Streams
- Azure HDInsight
- Amazon Managed Streaming for Apache Kafka
- Apache Spark
- Apache Spark Streaming
- HDFS
- YARN
- Hadoop MapReduce
- Amazon EMR
- Apache Storm
- Apache Samza
- Apache Flume
- Pig
- Apache Hive
- Apache HBase
- Apache Mahout
- Apache Spark MLlib
- Solr
- Lucene
- Apache ZooKeeper
- Oozie
Programming languages
Microservices
- Spring Framework
- Netflix OSS stack
- Flask
Machine learning
Programming languages
- MATLAB
- GNU Octave
- R
Frameworks and libraries
- Apache Mahout
- Caffe
- Apache MXNet
- TensorFlow
- Keras
- Torch
- OpenCV
- Theano
- Apache Spark MLlib
- Scikit Learn
- Gensim
- SpaCy
Cloud services
- Amazon SageMaker AI
- Amazon Machine Learning
- Azure Machine Learning
- Google Cloud AI Platform
Relational databases / Data storages
- Microsoft SQL Server
- MySQL
- Oracle
- PostgreSQL
- Azure SQL Database
- Azure Synapse Analytics
- Amazon RDS
- Amazon S3
- Google Cloud SQL
Raw data storage
- Amazon S3
- Azure Data Lake
- Azure Blob Storage
- Azure Files
- Google Cloud Storage
- Microsoft Fabric
- HDFS
DevOps
Containerization
- Docker
- Kubernetes
- Red Hat OpenShift
- Apache Mesos
Automation
- Ansible
- Puppet
- Chef
- Saltstack
- HashiCorp Terraform
- HashiCorp Packer
CI/CD tools
- AWS Developer Tools
- Azure DevOps
- Google Developer Tools
- GitLab CI/CD
- Jenkins
- TeamCity
Monitoring
- Zabbix
- Nagios
- Elasticsearch
- Prometheus
- Grafana
- Datadog
Clouds
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- DigitalOcean
- Rackspace Technology
