GCP Kafka Installation: A Comprehensive Guide 101

Apache Kafka is a distributed Publish-Subscribe Messaging platform explicitly designed to handle Real-time Streaming data. It helps in Distributed Streaming, Pipelining, and replay of data feeds for quick, scalable workflows. In today’s disruptive tech era, raw data needs to be processed, reprocessed, evaluated and managed in real-time.

Apache Kafka has proved itself as a great asset when it comes to performing message streaming operations. The main architectural ideas of Kafka were created in response to the rising demand for Scalable high-throughput infrastructures that can store, analyze, and reprocess streaming data. 

In this article, you will learn about GCP Kafka. You will also gain a holistic understanding of Apache Kafka, Google Cloud Platform, their key features, the need for installing GCP Kafka, and the steps for installing GCP Kafka. Read along to find out more about GCP Kafka.

What is Apache Kafka? 

Apache Kafka was originally developed at LinkedIn to address the need to monitor activity stream data and operational metrics such as CPU, I/O usage, and request timings. Subsequently, in early 2011, it was Open-Sourced through the Apache Software Foundation. Apache Kafka is a Distributed Event Streaming Platform written in Java and Scala. It is a Publish-Subscribe (pub-sub) Messaging Solution used to create Real-Time Streaming Data Pipelines and applications that adapt to the Data Streams.

Kafka deals with Real-Time volumes of data and swiftly routes it to various consumers. It provides seamless integration between the information of producers and consumers without obstructing the producers and without revealing the identities of consumers to the producers. Read about Kafka Cluster Architecture to get a detailed idea.

Key Features of Apache Kafka 

Apache Kafka provides the following features such as communicating through messaging and stream processing to enable real-time data storage and analysis.

• Persistent messaging: Any type of information loss cannot be tolerated in order to gain real value from big data. Apache Kafka is built with O(1) Disc Structures that deliver constant-time performance even with very high volumes of stored messages (in the TBs).
• High Throughput: Kafka was designed to work with large amounts of data and support Millions of Messages per Second.
• Distributed event streaming platform: Apache Kafka facilitates message partitioning across Kafka servers and distribution of consumption over a cluster of consumer systems while ensuring per-partition ordering semantics.
• Real-time solutions: Messages created by producer threads should be instantly available to consumer threads. This characteristic is essential in event-based systems like Complex Event Processing (CEP).

What is Google Cloud Platform?

Google Cloud Platform (GCP) provides computing resources necessary for developing and deploying applications on the web. By creating an application using the platform, Google automatically keeps track of all its resources, including Storage, Processing Power, and Network Connectivity. Instead of leasing a server or a DNS address, as is the case with normal websites with GCP, you pay for the resources used by your application. 

Key Features of Google Cloud Platform

Some of the key features of Google Cloud Platform are as follows:

• Big Data: GCP offers a dedicated Big Data solution for clients with such needs. Some of the features include BigQuery, which allows users to run SQL-like commands on large chunks of data. 
• Hosting: GCP offers two hosting solutions for customers: the AppEngine, the Platform-as-a-Service, and Compute Engine that acts as Infrastructure-as-a-Service. 
• Containers: These come in handy for PaaS applications since they help boost app deployment.

Installation of GCP Kafka

It is assumed that you already have access to Google Cloud Account.

You can follow these steps to install a single node GCP Kafka VM.

• Step 1: Log in to your GCP account.
• Step 2: Go to the “GCP products and services” menu, i.e., the hamburger icon at the top left corner is present at the top left corner of the window.
• Step 3: Click on the “Cloud Launcher” option.
• Step 4: In the search bar that appears, search for Kafka.
• Step 5: Select the Kafka VM Image.

• Step 6: Click the “Launch on Compute Engine” button.

• Step 7: In the next window, you can review and change some settings, but the default settings are adequate.
• Step 8: Scroll down to the bottom of the page and click the “Deploy” button.

• Step 9: From your deployment page, you can SSH to the GCP Kafka VM, or you can go to your homepage by clicking on the hamburger icon in the top left corner, then to the compute engine page, and SSH to your GCP Kafka VM.

What is the need to Install GCP Kafka?

• Despite its many benefits, Apache Kafka is a difficult technology to implement. In production, on-premises Kafka clusters are difficult to set up, scale, and manage. 
• You must provision machines and configure Kafka when establishing an on-premises infrastructure to run Kafka. 
• You must also design the distributed machine cluster to ensure availability, ensure data storage and security, set up monitoring, and carefully scale data to accommodate load changes. 
• The infrastructure must then be maintained by replacing machines as they fail and performing routine patching and upgrading.
• The Kafka infrastructure is provisioned, built, and maintained by a third-party vendor such as Google. 
• You are in charge of developing and running the applications. This makes it simple to deploy Kafka without the need for specialized Kafka infrastructure management knowledge. 
• You devote less time to infrastructure management and more time to creating value for your company. As a result, GCP can be used as a third-party vendor, leading to GCP Kafka Installation.

Conclusion

In this article, you have learned about GCP Kafka Installation. This article also provided detailed information on Apache Kafka and Google Cloud Platform, their key features, the need for installing GCP Kafka, and the steps for installing GCP Kafka. Visit Kafka Debezium Event Sourcing, Azure Kafka Integration, and Apache Kafka Queue for more information.Hevo Data with its strong integration with 150+ data sources (including 40+ Free Sources) such as Apache Kafka allows you to not only export data from your desired data sources & load it to the destination of your choice but also transform & enrich your data to make it analysis-ready.

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