Brooke  Giles

Brooke Giles


How to read Kafka Message Key from Spring cloud streams?

enter code here I am using spring cloud streams to consume a message from Kafka.

Is it possible to read the Kafka Message Key from the code?

I have a Kafka topic that generally has 2 types of messages. The action to be taken varies depending on the message key. I see the spring documentation has only the following to read the message. Here, I need to specify the actual mapping of the message (Greetings class here). However, I need a way through which I can read the message key and determine the deserializable Pojo

public class GreetingsListener {

public void handleGreetings(@Payload Greetings request) {


#spring #apache

What is GEEK

Buddha Community

John David


You can try something like this:

public void handleGreetings(@Payload Greetings request, @Header(KafkaHeaders.RECEIVED_MESSAGE_KEY)String  key) {


You need to provide a proper deserializer for the key. For e.g. if your key is String, then you can provide:

Adaline  Kulas

Adaline Kulas


Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Mireille  Von

Mireille Von


Kafka Streams using Spring Cloud Stream | Microservices Example | Tech Primers

This video covers how to leverage Kafka Streams using Spring Cloud stream by creating multiple spring boot microservices

📌 Related Links

🔗 Kafka setup:
🔗 Public Domain API:

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🔗 Spring Boot with Spring Kafka Producer example -
🔗 Spring Boot with Spring Kafka Consumer example -

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🔗Spring Boot Primer -
🔗Spring Cloud Primer -
🔗Spring Microservices Primer -
🔗Spring JPA Primer -
🔗Java 8 Streams -
🔗Spring Security Primer -

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🎬Video Editing: FCP

🔥 Disclaimer/Policy:
The content/views/opinions posted here are solely mine and the code samples created by me are open sourced.
You are free to use the code samples in Github after forking and you can modify it for your own use.
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#KafkaStreams #SpringCloudStream #TechPrimers

#kafka streams #kafka #spring cloud stream #spring cloud

Adaline  Kulas

Adaline Kulas


What are the benefits of cloud migration? Reasons you should migrate

The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.

In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.

#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration

Were  Joyce

Were Joyce


Spring Integration AWS 2.5.1 and Spring Cloud Stream Kinesis Binder 2.2.0 Available

Dear Spring Community,

Today it’s my pleasure to announce releases of Spring Integration for Amazon Web Services extension versions 2.5.1 and Spring Cloud Stream Binder for AWS Kinesis 2.2.0.

These releases can be downloaded from Maven Central:

compile 'org.springframework.integration:spring-integration-aws:2.5.1'

If you don’t use Kinesis Binder. Or via Binder dependency:

compile ''

Spring Integration for AWS extension of 2.5.1 has some minor bug fixes after the previous 2.5.0 announcement.

The Spring Cloud Stream Binder for AWS Kinesis 2.2.0 is the first release in the project generation which is based on a new independent Spring Cloud for AWS artifact. It also was upgraded to the latest Spring Cloud 2020.0.3 and has some other bug fixes and improvements.

#[object object] #aws 2.5.1 #spring cloud #spring cloud stream kinesis binder 2.2.0 available #spring integration aws 2.5.1 and spring cloud stream kinesis binder 2.2.0 available

Were  Joyce

Were Joyce


API Rate Limiting with Spring Cloud Gateway

One of the imperative architectural concerns is to protect APIs and service endpoints from harmful effects, such as denial of service, cascading failure. or overuse of resources. Rate limiting is a technique to control the rate by which an API or a service is consumed. In a distributed system, no better option exists than to centralize configuring and managing the rate at which consumers can interact with APIs. Only those requests within a defined rate would make it to the API. Any more would raise an HTTP “Many requests” error.

link to rate limit image

Spring Cloud Gateway (SCG) is a simple and lightweight component, yet it is an effective way to manage limiting API consumption rates. In this blog, I am going to illustrate how simply that can be accomplished by using a configuration method. As illustrated in the figure below, the demonstration consists of a frontend and backend services with a Spring Cloud Gateway service in between.

link to rate limit image

No code whatsoever is needed to include the SCG in the architecture. You need to include a Spring Boot Cloud dependency in a vanilla Spring Boot application, and you’re set to go with the appropriate configuration settings.

Requests received by SCG from a frontend service can be routed to a backend service based on a configured route definition. A route definition configuration specifies to the gateway how a request should be routed to a backend endpoint. A route configuration usually defines conditions based on information that can be extracted from HTTP requests, such as paths and headers.

#[object object] #api rate limiting with spring cloud gateway #api #spring cloud #spring cloud gateway #api rate limiting with spring cloud gateway