• (512) 318-2336
  • Cazton Email Address

Apache Kafka Consulting

Imagine a process which converts unstructured, unreadable pieces of information into something that is extremely valuable for your organization? information that gives you insights about your business, your products, customers and their preferences. Now imagine getting those insights in real time! We are talking about a process that gives you instant information about an active transaction. Such information is always valuable, isn't it?

Companies who often deal with Big Data have massive databases and millions or billions of files they are processing. Choosing the right technology to process such big data is a daunting task! Most importantly, obtaining real-time insights an uninterrupted supply of data to that processing platform is even more difficult. To help with this, a concept was created called Data Streaming. Data Streaming, as the name implies, is a stream or flow of raw data that is captured from multiple sources and sent for processing continuously. These streams of data hold great value as they contain real-time information about an ongoing transaction or process. Analyzing and processing such data streams makes an organization more efficient and opens up new opportunities.

What is Apache Kafka?

Kafka is a fast, horizontally scalable, fault-tolerant, distributed data streaming platform originally started as an internal project at LinkedIn. It later became an open source project at Apache in 2011. This project was originally written in Scala and Java. It provides a publisher-subscriber mechanism that enables processing and storing streams of data in a fault-tolerant way.

Apache Kafka acts like a plugin technology that can be used with a wide range of technologies like Apache Spark, Hadoop, Storm, HBase, Flink and many others for big data analytics. It can be used to build real-time streaming applications that react to streams to do real-time data analytics, transform, react, aggregate, join real-time data flows, and perform complex event processing. The most common use cases for Kafka include stream processing, messaging, website activity tracking, log aggregation and operational metrics.

Cazton has Kafka Consultants who can provide expert guidance for your big data streaming and processing requirements. Our experts have hands-on experience in standing up and administrating on-premise Kafka platform and managing Kafka clusters on Windows, Linux and cloud platforms like Azure, AWS & EMC. We are well-versed with Kafka API and understand the best practices for stream management and processing. We can help you setup streaming platform with a very specific configurations and built-in architectural constraints.

Apache Kafka Infrastructure / Core Concepts

As we move ahead to know more about Kafka, it is important to understand some of its core concepts. Knowing these concepts will help you understand how Kafka works.

Kafka Infrastructure
  • Producers: A producer can also be termed as a publisher that is responsible for publishing messages to a Kafka cluster. They generate messages that are ingested into the Kafka system. Typical examples of producers would be your website, email system, customer database, application logs, etc.
  • Consumer: As the name implies, a consumer is the one that consumes data. They subscribe to one or more Topic and consume published data by pulling it from Brokers. Consumers are usually a part of at least one consumer group that is associated with a topic.
  • Message: A message represents the fundamental unit of information. It is a key-value pair that is stored as byte arrays.
  • Topics: A collection of messages that belong to a particular category is called a Topic. The data sent by Producers are usually stored in Topics whereas Consumers who are interested in a particular topic subscribe to them.
  • Partitions: Partitions are unique to Apache Kafka and not found in traditional messaging systems. Each topic that contains a collection of messages is divided into multiple partitions. Kafka clusters use message keys to group multiple topics together. This scheme enables Kafka to dynamically scale the messaging infrastructure.
  • Brokers: Each Kafka instance is called a Broker. It is responsible for receiving messages from producers, assigning offsets and finally saving messages to the disk. Based upon current hardware conditions, each Broker can easily handle thousands of partitions and millions of messages per second.
  • Clusters: A collection of multiple brokers is called a Cluster. In this collection, one broker is termed as a Leader and the others are Followers. A leader is responsible for all read and write operations for the given partition and assigning partitions to other Follower brokers. When a Leader broker fails, Kafka automatically makes a Follower the new Leader.
  • Zookeeper: Zookeeper is a distributed coordination service used by Kafka to store meta information about Kafka Cluster and Consumer client. It acts as a coordinator between Kafka brokers and consumers. It notifies the producer and consumer about the presence of any new broker in the Kafka system or failure of the broker in the Kafka system.

Benefits of using Apache Kafka

Apache Kafka is the most preferred platform in the field of messaging systems and data streaming. It is very easy to integrate Kafka in Hadoop and AWS environment. There are more benefits of choosing Kafka for your message streaming requirements.

  • Highly Scalable: Kafka is a distributed data streaming platform that can be horizontally scaled across many clusters of servers thus avoiding any downtime. It is capable of handling terabytes of data within seconds.
  • Highly Performant: It is capable of handling huge volumes of data using cheap servers and gives throughput of thousands of messages. It is capable of handling and processing messages within milliseconds thus making it a real-time streaming platform.
  • Fault Tolerant: When messages are published to Kafka clusters, they replicate and store them on disks for a limited period of time. If a failure occurs, Kafka is easily able to resist that failure by using replicated data. Thus, it is fault tolerant and highly reliable when compared to other messaging systems.

How can Cazton help you with Kafka Consulting?

Cazton has Kafka Consultants who can provide expert guidance for your big data streaming and processing requirements. Our experts have hands-on experience in administrating on-premise Kafka platform and managing Kafka clusters on Windows, Linux and cloud platforms like Azure, AWS & EMC. We are well-versed with Kafka API and understand the best practices for stream management and processing. We can help setup your streaming platform with very specific configurations and built-in architectural constraints.

Our Kafka Consultants have strong analytical and problem-solving skills. To name a few, our Apache Kafka experts have hands-on experience with Big Data technologies that includes Hadoop, Spark, HIVE, HBase, Kafka, Impala, PIG, Zookeeper etc., document databases like Cassandra, Couchbase, MongoDB etc. and have a proven track record of building solid production level software that processes large streams of data. We have high-level expertise in programming languages like C#, Java, Scala, Python, and R, which make our experts a great resource for your business.

Apart from being experts in Apache Kafka, we specialize in .NET technologies, Microsoft Dynamic CRM, Cloud Computing, Salesforce, Agile Methodologies, Software Architecture, Industry Standard Design Principles and Patterns, Big Data and Big Data related technologies like Apache Hadoop, Apache Spark, PIG, Cassandra, HBase, HIVE, Zookeeper, Solr, and ElasticSearch just to name a few. Check out our consulting services for more details.

Cazton has expanded into a global company servicing clients not only across the United States, but in Europe and Canada as well. In the United States, we provide our Apache Kafka services across various cities like Austin, Dallas, Houston, New York, New Jersey, Irvine, Los Angeles, Denver, Boulder, Charlotte, Atlanta, Orlando, Miami, San Antonio, San Diego and others. Our Kafka Experts remain committed to the vision of helping our clients innovate and transform their business strategies into deliverable projects and real-time solutions. Contact us today to learn more about what our experts can do for you.

Loading...

.NET Consulting

Microsoft .NET is one of the most preferred and widely used technologies in the software development industry. It is a set of technologies that work together to solve different business problems....

Read More

Agile Consulting

The evolution of the software and software industry has been remarkable over the years. From the mid 1900's when the first electronic computer originated to today where we have control over almost...

Read More

Apache Hadoop & HDFS Consulting

Cazton has been a pioneer in Big Data Consulting and one popular technology that powers Big Data is Apache™ Hadoop. Apache™ Hadoop is a highly...

Read More

Apache Spark Consulting

Apache Spark is an open-source, lightning fast, cluster computing framework that provides a fast and powerful engine for large-scale data (Big Data) processing. It runs programs up to 100x faster...

Read More

Azure Consulting

Many startups and mid-to-big size organizations tend to move towards cloud computing for their application or infrastructure deployment. Companies like Google, Amazon and Microsoft provide cloud...

Read More

Big Data Consulting

With every passing second, the amount of data shared and transferred between humans is unimaginable. To manage, analyze, make predictions and decisions using that data is a daunting task. With data...

Read More

Salesforce Consulting

Growth is the most important factor for any organization. To have a sustained growth, the organization has to follow certain rules and regulations, apply strategies and practices, and depend on...

Read More

Software Architecture Consulting

The term architecture generally means the practice of designing or building something. Software architecture is the process of taking operational and technical requirements, and designing a solution...

Read More

Copyright © 2018 Cazton, Inc. • All Rights Reserved • View Sitemap