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 Connect
Apache Kafka Streams
Azure HDInsight
Amazon Managed Streaming for Apache Kafka
Apache SparkApache Spark Streaming
HDFS
YARN
Hadoop MapReduceAmazon 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
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 AnalyticsAmazon 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
