Hire the Best Apache Kafka Developers
Ragama, Sri Lanka
🥇TOP RATED PLUS | 👨🏻💻 4000+ WORKING HOURS 💼 7+ YEARS EXPERIENCE | 🏆100% Job Success ⭐️⭐️⭐️⭐️⭐️ "I had the pleasure of managing Dasun (Era), a senior software engineer, on our recent project, and I must say, it was a fantastic experience. Era's code was top-notch, well-structured, and he always delivered more than we expected. What really stood out was Era's communication skills; he kept the team in the loop, asked smart questions, and had great suggestions. Working with Era was a breeze - he was professional, met deadlines, and handled challenges with ease. I can't wait to hire him again ASAP; he's a star in our team! ⭐️⭐️⭐️⭐️⭐️"I was very happy with the work from Era on a spring web flux project. He produced code that was excellent quality and proactively fixed issues and made improvements as he worked through the tasks." I am a seasoned software engineer with over 7 years of experience, specialising in Java, Spring Boot, and REST API development. My passion lies in tackling new challenges and establishing long-lasting collaborations that drive innovation and excellence in every project. Technical Expertise: ✅ Proficient in Java, including Java 8, Java 11, Java 17. ✅ Expertise in developing web applications in the Banking and Financial domain for over the 5 years. ✅ Backend development experience with Spring Boot Spring webflux, REST API development, application security, scalability, and proficiency in Spring Data JPA, Hibernate, Spring Cloud, and Spring Security. ✅ Proficiency in Microservice design pattern with Clean code principals and Domain Driven Design and inter service async communication with Event-Driven architecture, CQRS (Command Query Responsibility Segregation), SAGA patterns, Load balancing, Config management, and Gateway implementation. ✅ Knowledge of application security best practices, including OAuth 2 implementation, JWT token-based authentication, and authorization. ✅ Experience in Test-Driven Development (TDD) and unit testing using JUnit 5 and Mockito, as well as snapshot testing with Jest and Enzyme. ✅ Familiarity with both relational and NoSQL databases, including MySQL, Oracle, PostgreSQL, MongoDB, and Amazon QLDB. ✅ Hands-on experience with AWS, including designing and implementing highly scalable and secure infrastructure plans, application deployment, and CI/CD pipelines using AWS services like CodeCommit. Proficiency in migrating on-premises applications to the AWS cloud. ✅ Expertise in DevOps practices, including CI/CD with Jenkins and GitHub Actions, containerization using Docker, terraform script development, Ansible, Container Orchestration with Kubernetes clusters and Amazon EKS (Elastic Kubernetes Service), and version control using Git. ✅ Experience in setting up monitoring and logging solutions like Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), or AWS CloudWatch to ensure the health and performance of applications. ✅ Understanding of distributed system concepts, including message brokers like Apache Kafka or RabbitMQ, and the implementation of distributed transactions. ✅ Expertise in optimising application performance, including profiling, caching strategies, and database query optimisation. ✅ Proficiency in modern Software Development Life Cycle (SDLC) methodologies, including Agile (SCRUM), and tools such as Jira, Confluence, and SonarQube. ✅ Mastery of Object-Oriented Programming (OOP) concepts, SOLID principles, and Data Structures & Algorithms. I have a proven track record of delivering exceptional results for my clients, including: ☑ Boosting client revenue by 30% through targeted web application improvements. ☑ Increasing code quality by 80% using best practices and the Boy Scout Rule. ☑ Mentoring junior developers to enhance their Java skills and problem-solving abilities. I am confident that my strong technical background and commitment to excellence will make me an asset to your team. If you would like to discuss how I can contribute to your next project, please don't hesitate to reach out. Thank you for considering my application, and I look forward to speaking with you soon. Best regards, Dasun.
- Apache Kafka
- Spring Boot
- Java
- Microservice
- RESTful API
- Hibernate
- JUnit
- MongoDB
- Redis
- Docker
- Apache Cassandra
- SQL
- Kubernetes
- Cloud Services
Jaipur, India
Java Spring Developer with over 15+ years of experience building scalable, high-performance solutions across diverse industries. Technical Expertise ✅Spring Ecosystem: Spring Boot, Spring Batch, Spring Cloud, Spring Security, Spring AOP, Spring MVC, JSP, Thymeleaf. ✅ AI : Claude , Codex , RAG ,Integration with OpenAI ✅Microservices & APIs: Microservices architecture, RESTful APIs. ✅Messaging & Event-Driven Systems: Apache Kafka, WebSocket, STOMP, Socket IO ✅Cloud Integration: AWS (ECS Fargate, S3, EC2, ALB, RDS). ✅Database Design: SQL (MySQL, Oracle, Yugabyte, PostgreSQL, MS SQL Server) ✅DevOps & Containers: CI/CD pipelines, Jenkins, Docker, Podman, Kubernetes ✅Search & Caching: Elasticsearch, Redis, Terracotta Caching ✅System Integration & Legacy Modernization: Seamlessly integrate modern applications with legacy systems ✅Frameworks & Tools: JHipster, Keycloak, Flowable, JBPM, Flyway, MapStruct, JavaFX, Java Swing ✅CMS Solutions: Documentum, Alfresco ✅XML & Web Services: SOAP, RESTful services ✅Reporting Tools: Crystal Reports, JasperReports, BIRT ✅Testing Framework/Tools: Junit5,Selenium,JMeter
- Apache Kafka
- Java
- Spring Boot
- RESTful API
- SQL
- Spring Batch
- Spring Security
- Docker
- Documentum
- Elasticsearch
- Amazon ECS for Kubernetes
- Microservice
- Hibernate
- Websockets
- Swing
Yogyakarta, Indonesia
Most backend engineers can write code. Fewer can architect a system that holds up at scale, survives a traffic spike, and stays observable when something breaks at 2am. That's the gap I fill. I'm a Top Rated Plus engineer on Upwork with a 100% Job Success Score across 34 contracts and 4,600+ hours — working with clients from startups to enterprises across ticketing, marketplace, gaming, and HR domains since 2011. What I actually do: I design and build production-grade backend systems in Go — from the API layer down to the infrastructure. That means event-driven microservices with Kafka or RabbitMQ, containerized deployments on Kubernetes, full CI/CD pipelines, and cloud infrastructure on AWS, GCP, DigitalOcean, or Alibaba Cloud. I don't hand you a working local demo and disappear — I deliver something that runs reliably in production, with proper observability, testing at every layer, and documentation your team can maintain. Specifically, I can help you if: — Your monolith is becoming a bottleneck and you need to decompose it into services that scale independently — You're building a new product and need a senior engineer who can own the backend architecture from day one — Your Kubernetes setup is held together with hope and tribal knowledge, and you need someone to make it solid — You need CICD that actually works — automated testing, container builds, and deployments to staging and production without manual steps Tech I work with daily: Go · PostgreSQL · Redis · Kafka · RabbitMQ · Elasticsearch · Docker · Kubernetes · Helm · Terraform · AWS · GitHub Actions · GitLab CI · gRPC · REST How I work: I ask the right questions before writing the first line of code. I communicate in plain language, not jargon. I've worked in agile teams, solo, and everything in between — I adapt to your workflow, not the other way around. And I treat your codebase like I'll be the one maintaining it, because sometimes I am. If you need a senior engineer who thinks in systems, communicates clearly, and delivers work you won't have to redo — let's talk.
- Apache Kafka
- Docker
- Amazon Web Services
- Golang
- Kubernetes
- DevOps
- API Development
- Software Architecture & Design
- CI/CD
- Redis
- PostgreSQL
- Terraform
- Elasticsearch
- DigitalOcean
- Linux
- Microservice
- Alibaba Cloud
- Cloud Computing
- Ansible
- REST API
Mumbai, India
I am a senior developer with 21 Yrs. of experience ( 12+ Yrs with JPMorgan and rest with Deloitte, HCL and other) in Java/J2ee, Python, Rest API, SOAP API, javascript, OAuth, SSO, Kafka, SpringBoot, HTML, CSS, PHP, Web Design, Web Development, React, Redux, Angular, e-commerce, Wordpress, Shopify, JPA, Cloud, AWS, Azure, GCP, Private cloud, JBPM, n8n, Oracle BPM, JMS, Hibernate, Struts, Spring Batch, ESB, Base44, Playwright, Selenium, JavaFX, Lisp, Prolog, Weka , OpenAI, Different Web as well as Application Servers, different Operating Systems and DBMS Tools, SQL, NoSQL, PostgreSQL, Mongo, Cassandra, MYSQL, Oracle, Supabase, AI, NLP, OpenAI, agent development, Wordpress, php , CI/CD, Agile and various open-source tools, technologies and frameworks. Some of the domains I have worked on are Banking, finance, Trade, Crypto, HR, Insurance, Learning, NLP, Healthcare, System architecture, Developers Tooling, Document management, AI, DevOps, Cloud, GCP, Hubspot, Quickbook, PandaDoc, Stripe, web3, Blockchain, etc. ********************************************************************* Experience Summary: Freelancing || Freelancing || Present Toyow || Solution Architect || Sep 24 to JAN 25 JPMorgan || Vice President || (Around 12 Yrs. Total) Deloitte || Senior Consultant/Specialist Senior || Jun 13 to Jun 15 HCL || Onsite/Offshore Dev lead || Sep 06 to May 10 Birla Soft Ltd || Software Engineer || Jan 06 to Sept 06 GIIT || Developer || Feb 05 to Oct 05 ************************************************************************* Some of the applications are as below: - Document generation system - Online translation system using NLP - Library management system - HRMS System - Networking system - Tools for Developer and Operate to build and deploy their applications. - Workflow as a service - Workflow Platform for Mutual Fund NAV processing (Fund accounting) - Prediction analysis for SLA miss. - A real time dashboard for fund processing - Messaging Platform supporting MQ, SFTP, REST, Kafka, FIX, - Trade instruction manager - Customer support system for Bank operators - Platform for Tokenization Assets using Blockchain - A social Media application - A insurance management Platform - Applications developed on Base44 - Loan record reports - OCR for healthcare reports and data processing. - ChatBot for Patient enquiry. - Coin analysis using AI (openAPI integration). - A Platform for affiliate marketing. - CI/CD for Gitlab and AWS.
- Apache Kafka
- Java
- Spring Framework
- Python
- Spring Boot
- React
- Angular
- jBPM
- Microservice
- PHP
- Next.js
- Mule
- Full-Stack Development
- Back-End Development
- Web Design
- Artificial Intelligence
- Cloud Architecture
- Azure DevOps
- Blockchain
- Web3
Kovilpatti, India
Hi there 👋, I’m Peter. I help startups and businesses build reliable, scalable backend systems using Golang. With 14+ years of software development experience, including 8+ years specializing in Go, I’ve designed and developed production systems used by companies across cybersecurity, fintech, cloud printing, e-commerce, and data platforms. Whether you need a new backend service, REST API, microservice, third-party integration, automation tool, or performance optimization, I focus on delivering clean, maintainable code that is built for production, not just proof of concept. What I can help you with ✅ Golang Backend Development ✅ REST APIs & gRPC Services ✅ Microservices Architecture ✅ Third-party API Integrations ✅ PostgreSQL, MySQL & MongoDB ✅ Redis & Kafka ✅ Docker & Kubernetes ✅ AWS Cloud Services ✅ Performance Optimization ✅ Backend Automation ✅ System Design Why clients work with me I believe great backend software should be: * Reliable * Scalable * Easy to maintain * Well tested * Easy for other developers to understand I communicate clearly, work independently, take ownership, and always aim to deliver solutions that continue to add value long after the initial implementation. Technologies: Programming Languages: Go (Golang) (Primary), Java, Python, JavaScript, Shell Scripting, Node.js, PHP Backend Engineering: Microservices, Distributed Systems, RESTful APIs, gRPC, Event-Driven Architecture, Serverless, Concurrent Programming Cloud Platforms: AWS (Lambda, EC2, S3, Cognito, DynamoDB, SNS, SQS, CloudWatch, CDK, EMR), DigitalOcean Databases & Caching: PostgreSQL, MongoDB, MySQL, Redis, Cassandra, HBase, SQL, NoSQL Messaging & Distributed Systems: Kafka, RabbitMQ, Hadoop, MapReduce, YARN, ZooKeeper DevOps & Infrastructure: Docker, Kubernetes (Basic), GitHub Actions, Jenkins, GitLab CI, Ansible, Git Observability: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), AWS CloudWatch Software Engineering: System Design, CI/CD Pipelines, Test-Driven Development (TDD), Agile, Scrum, Code Reviews, Data Structures & Algorithms Frontend (Working Knowledge): Angular, TypeScript, HTML, CSS, Flutter, Figma If you’re looking for an experienced backend engineer who can quickly understand your requirements and build production-ready Go applications, I’d be happy to discuss your project.
- Apache Kafka
- Kubernetes
- Java
- Amazon Web Services
- Elasticsearch
- Big Data
- DevOps
- NoSQL Database
- Amazon S3
- Golang
- Microservice
- Data Science
- Apache Hadoop
- RESTful API
- Websockets
Phoenix, Arizona
🎯 100% Refund If I set the wrong expectations and can’t deliver. No questions asked. Top-Rated Plus, Upwork Top 1 Percent, Highly recommended. What do I offer: 1- 100% work satisfaction 2- 24/7 Support 3- On-time delivery 4- Enterprise quality 5- 15 Days of free support after completion of the project Cloud Architect with 10+ years of DevOps experience, specializing in scalable, platform-agnostic cloud infrastructures. Proven track record in high-scale environments. Proficient in Infrastructure as Code, automation, and scripting, with expertise in CI/CD, Cloud Services, and Infrastructure Automation. Skilled in building, deploying, and managing applications on AWS, GCP, Azure, and OCI, with a focus on robust monitoring and observability. ➜ Zazmic Inc, San Francisco, CA • Automation Tools: Terraform, Ansible • Cloud Platforms: GCP • Containerization: Docker, Helm charts • CI/CD: GitLab CI • Monitoring: HPA, Cloud Armour • Databases: Different kinds of databases on GCP ➜ Tripleseat, Concord, Massachusetts • Cloud Platforms: Azure, GCP • Containerization: Docker • CI/CD: Azure Pipelines, Azure DevOps • Monitoring: Grafana, Prometheus ➜ Century Communities, Inc., Greenwood Village, CO • Cloud Platforms: AWS, Oracle Cloud • Automation Tools: Lambda functions, Ansible • Containerization: Docker, AWS ECS, EKS • CI/CD: CircleCI, GitHub Actions, AWS CodePipeline • Monitoring: CloudWatch, CloudFront ➜ Summary: • Proficient in Kubernetes, I architect and manage clusters to facilitate agile and scalable application deployment. • Skilled in Infrastructure as Code (IaC), I employ Terraform, Ansible, and Chef to automate configuration and ensure uniform environments. • With hands-on experience in CI/CD pipeline creation and maintenance using Jenkins, GitLab CI, and Azure DevOps, I ensure the efficient and reliable delivery of software products. • Possessing a robust background in Linux/UNIX system administration, including expertise in managing RHEL environments. • Armed in scripting with Bash and Python to streamline automation processes and optimize operational efficiency. • Good Know how of monitoring and logging tools such as Elasticsearch, CloudWatch, Prometheus, and Grafana, enabling proactive monitoring of infrastructure and application health. • Experienced in VMware virtualization, proficiently managing VMs, executing V-motion operations, and maintaining Snapshots. • Adaptable to fast-paced 24/7 production environments, providing responsive on-call support, including weekends. • Successfully deployed and managed scalable microservices on Kubernetes clusters across GCP and AWS platforms. • Expertise extends to migrating on-premises workloads to the cloud, focusing on performance optimization and cost efficiency. • Possess proactive problem-solving and troubleshooting skills essential for maintaining high-quality production environments. • Strong communication and collaboration abilities, facilitating effective bridging of the gap between development and operations teams. ➜ Tools: Git, Ansible, AWS CloudFormation, ELK, GitLab, GitLab CI/CD, Terraform, Docker Compose, Grafana, Telegraf, CircleCI, Traefik, Amazon CloudWatch, Amazon Elastic Container Service (Amazon ECS), GitHub, VPN, AWS Fargate, Amazon CloudFront CDN, AWS IAM, Amazon Virtual Private Cloud, Docker Swarm, NGINX, Puppet, Jenkins, Amazon EKS, Amazon Simple Queue Service, RabbitMQ, Celery, TeamCity, Nagios, Makefile, AWS CodeDeploy, Confluence, AWS CodeBuild ➜ Platforms: Linux, Docker, Amazon Web Services, AWS Elastic Beanstalk, Amazon EC2, Kubernetes, AWS Lambda, Windows, Apache Kafka, JVM, Heroku, Azure, WordPress, New Relic, Windows Server, Google Cloud Platform, Blockchain, Rancher ➜ Storage: Amazon Aurora, Amazon S3, MySQL, MongoDB, InfluxDB, Redis, On-premise, Amazon DynamoDB, Redis Cache, Elasticsearch, MySQL, Databases, PostgreSQL ➜ Languages: Python, Bash, Java, PHP, Markdown, Go, JavaScript, SQL, TypeScript ➜ Frameworks: Flask, Django, Windows PowerShell, .NET, Serverless Framework ------------------------------------------------------------------------------------------------------ #CloudArchitect #DevOps #Kubernetes #Terraform#Azure #GCP #Docker #CI_CD #InfrastructureAsCode #CloudMigration #DevOpsEngineer #Automation #CloudInfrastructure #Microservices #CloudSecurity #NetworkSecurity #AWSCloud #AzureCloud #Serverless #AWSLambda #AzureDevOps #GitLabCI #GitHubActions #Linux #Unix #Bash #Python #GoLang #Java #Git #Ansible #Jenkins #NGINX #ApacheKafka #Databases #SQL #MySQL #PostgreSQL #MongoDB #Redis #DynamoDB #CloudStorage #S3 #CloudWatch #BackendInfrastructure #WebInfrastructure
- Kubernetes
- Terraform
- Docker
- DevOps
- Google Cloud Platform
- Amazon Web Services
- Cloud Computing
- Cloud Architecture
- CI/CD
- Microsoft Azure
- DigitalOcean
- HIPAA
- SOC 2
- Ansible
- Python
- Data Warehousing & ETL Software
- Django
- Linux System Administration
- AWS CloudFormation
- Git
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How to Hire Top Apache Kafka Developers
How to hire Apache Kafka developers
Looking for a high-throughput, fault-tolerant, data streaming solution for processing large volumes of messages? An Apache Kafka developer can help.
So how do you hire Apache Kafka developers? What follows are some tips for finding top Apache Kafka consultants on Upwork.
How to shortlist Apache Kafka professionals
As you’re browsing available Apache Kafka consultants, it can be helpful to develop a shortlist of the professionals you may want to interview. You can screen profiles on criteria such as:
- Technology fit. You want a developer who understands how to integrate Apache Kafka with the rest of your technology stack.
- Project experience. Screen candidate profiles for specific skills and experience (e.g., building a website activity tracking pipeline).
- Feedback. Check reviews from past clients for glowing testimonials or red flags that can tell you what it’s like to work with a particular Apache Kafka developer.
How to write an effective Apache Kafka job post
With a clear picture of your ideal Apache Kafka developer in mind, it’s time to write that job post. Although you don’t need a full job description as you would when hiring an employee, aim to provide enough detail for a contractor to know if they’re the right fit for the project.
Job post title
Create a simple title that describes exactly what you’re looking for. The idea is to target the keywords that your ideal candidate is likely to type into a job search bar to find your project. Here are some sample Apache Kafka job post titles:
- Need help building low-latency log aggregation solution with Apache Kafka
- Seeking Java developer with Kafka Pepper-Box and JMeter expertise
- Developing a Change Data Capture (CDC) agent with Kafka
Apache Kafka project description
An effective Apache Kafka job post should include:
- Scope of work: From message brokers to real-time analytics feeds, list all the deliverables you’ll need.
- Project length: Your job post should indicate whether this is a smaller or larger project.
- Background: If you prefer experience with certain industries, software, or developer tools, mention this here.
- Budget: Set a budget and note your preference for hourly rates vs. fixed-price contracts.
Apache Kafka developer responsibilities
Here are some examples of Apache Kafka job responsibilities:
- Design and develop data pipelines
- Manage data quality
- Implement data integration solutions
- Troubleshoot and debug data streaming processes
Apache Kafka developer job requirements and qualifications
Be sure to include any requirements and qualifications you’re looking for in an Apache Kafka developer. Here are some examples:
- Proficiency in Java and/or Scala
- Data streaming
- CDC
- Data engineering
Apache Kafka Developers FAQ
Frequently asked questions
What is Apache Kafka?
Apache Kafka is an open-source stream-processing solution developed by LinkedIn and later donated to the Apache Software Foundation. The software platform aims to provide a low-latency, high-throughput solution for processing real-time data feeds.
Apache Kafka uses the publish/subscribe messaging pattern common in distributed systems. Kafka instances typically exist as clusters of nodes called brokers that can receive messages from multiple producers (any apps sending data to the cluster) and deliver them to multiple consumers (any apps receiving data from the cluster). Producers publish messages to Kafka topics (i.e., categories of messages), while consumers subscribe to Kafka topics. It is through this topic categorization that the brokers are able to determine where messages need to be delivered.
Apache Kafka is a popular choice among developers looking to build message brokers, website activity trackers, and analytics pipelines that must deal with large volumes of real-time data from disparate sources.
How much does it cost to hire an Apache Kafka developer?
The first step to determining the cost to hire an Apache Kafka developer will be to define your needs. Rates can vary due to many factors, including expertise and experience, location, and market conditions.
Cost factor #1: project scope
The first variable to consider when determining scope is the nature of the work that needs to be completed. Not all Apache Kafka development projects are created equal. Creating a simple log aggregator to collect log files off different servers into a central place for processing will typically take less time than building out a multistage data streaming pipeline for your SaaS (software-as-a-service) product.
Tip: The more accurately your job description describes the scope of your project, the easier it will be for talent to give you accurate cost estimates and proposals.
Cost factor #2: Apache Kafka developer experience
Choosing the right level of expertise for the job is closely tied to how well you determined the scope of your project. You wouldn’t need an advanced Apache Kafka developer to create your own custom site analytics dashboard using Kafka. On the other hand, building a large-scale enterprise messaging system will require the skills of a seasoned Apache Kafka developer.
Beyond experience level, you need to consider the type of experience the talent possesses. The following table breaks down the rates of the typical types of Apache Kafka developers you can find on Upwork.
Rates charged by Apache Kafka developers on Upwork
| Level of Experience | Description | Hourly Rate |
| Beginner | Familiarity across the technology stack. Data engineering fundamentals (e.g., data streaming, data quality, data integration). Can use Kafka for basic website tracking, messaging, and data streaming. | $40-70+ |
| Intermediate | Professional full-stack developers or data engineers. Experience working with high-throughput data needs, microservices architectures, and multistage data streaming pipelines. | $70-100+ |
| Expert | Advanced full-stack developers or data engineers with years of experience in big data. Capable of managing teams of developers and engineers. Advanced knowledge of application architectures, data streaming technologies, and data processing solutions. | $100-130+ |
Cost factor #3: location
Location is another variable that can impact an Apache Kafka developer’s cost. It’s no secret that you can leverage differences in purchasing power between countries to gain savings on talent. But it’s also important to factor in hidden costs such as language barriers, time zones, and the logistics of managing a remote team. The real advantage to sourcing talent remotely on Upwork is the ability to scan a global talent pool for the best possible person for the job. Location is no longer an obstacle.
Cost factor #4: independent contractor vs. agency
The final variable regarding talent cost is hiring an independent contractor vs. an agency. An agency is often a “one size fits all” model, so you’ll often have access to a designer, a project manager, an engineer, and more. When hiring individuals you have total autonomy regarding who is responsible for which part of the project, but you’ll need to source each of those skills separately.
The trade-off between hiring individuals vs. hiring an agency is the level of administrative overhead you incur personally in coordinating tasks among all members of the team. Project scope and personal preference will determine which style is a better fit for your needs.
Apache Kafka developer tips and best practices
Understand your partition data rate limitations
In Kafka, messages are organized into topics that can be divided into a number of smaller partitions. Partitions allow your Kafka cluster to process the data in a particular topic in parallel across multiple brokers. This capacity for parallel processing is what enables Kafka to deliver high-throughput messaging.
Of course, even high-throughput systems are going to have their limitations. Messages sent to a partition exist in a log for a configurable period of time or until a configurable size limit is reached. Exceed that retention limit prematurely, and it’s possible you can start losing messages before consumers can pull them from the topic partition.
That’s why it’s important to understand the data rate of your topic partitions. Simply multiply the average message size times the number of messages per second to calculate your average retention rate. This will enable you to figure out how much retention space is required to guarantee data is retained for the desired period of time.
Widen those consumer socket buffers for high-speed ingestion
The default settings for consumer socket buffers tend to be around 100 KB (Kafka 2.4.x), which is too small for high-throughput environments. For low-latency, high-bandwidth networks (10 Gbps or higher), it might be necessary to bump those values up to 8 or 16 MB. You can tune the socket buffer setting for consumers with the “socket.receive.buffer.bytes” parameter.
Tune your memory buffer and batch sizes for high-throughput producers
On the producer side of the equation, high-throughput environments will likely require a change to the default memory sizes for your “buffer.memory” and “batch.size” parameters. These values are trickier to set than your consumer socket buffers as they depend on a number of factors, including producer data rate, number of partitions, and the total memory you have available. Larger buffers aren’t necessarily always better, because having too much data buffered on-heap can lead to increased garbage collection—a process that will compete for resources and affect your importance. Best practices should be established based on the unique configuration and settings of your Kafka data streaming system.
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