Kubernetes Message Queue


Most enterprises are adopting Kubernetes as a result of the endless benefits it offers. It is adopted for seamless container management; it provides high scalability and enhances communication / messaging. It can also allow for the addition of many lifetime applications when building a microservice. This means enterprises can make lots of changes as the project expands with little effort

There is a high volume of traffic flow of messages in microservice architecture that is orchestrated by Kubernetes. Managing heavy traffic can pose major challenges, so enterprises have to give a lot of thought on how to effectively manage the heavy traffic in the system before deploying in Kubernetes. This implies that the operational and architecture requirements that are needed to support the production environment have gained significant focus. In a new microservice, each data model is disengaged from the rest of the system. But a project can grow bigger into thousands of microservices, which means the messaging traffic would grow into millions of messages every day. Therefore to achieve an effective messaging system between microservices, a robust communication mechanism must be adopted.

Some enterprises attempt to solve this communication gap in Kubernetes using a Point-To-Pont connectivity system such as REST. However, REST can create restrictions and other complications in the messaging structure of the services. If there is no proper messaging solution, then there would be a need to carry out maintenance each time requirements are changed. Carrying out frequent maintenance is expensive, time-consuming, and unreliable. This problem cannot be solved by REST because of the many restrictions that come with it.

To solve the problems in microservices architecture and Kubernetes, a messaging queue system must be deployed for effective management. A messaging queue system re-architects the stack and deploys a single focal point of communication for better communication. This ensures that each service communicates with the message queue broker in its own language. The message queue system would then deliver the messages to the services waiting for it.

Building a well-managed messaging solution

A messaging system cannot be effective if it is not native to Kubernetes. Enterprises must ensure that when building a message queue system, it is native to Kubernetes to leverage the advantages.

The advantages are:

  • Robust messaging queue system
  • Secured system
  • Low DevOps maintenance
  • Well-connected ecosystem for logging in Kubernetes
  • Rapid deployment

Message Queue advantages in Hybrid cloud solution

Deploying enterprise solutions on a hybrid cloud service offers flexibility, agility, low cost, and total control. It also ensures that the enterprise can use on-premise and public cloud services concurrently. Flexibility to migrate from one solution to the other as cost and workload requirement changes is a big benefit. With a hybrid solution, enterprises can host their sensitive applications and workload on the private cloud solution while minor / less critical workloads and parts of the application would be hosted on the public cloud solution. Furthermore, with a private cloud service organizations pay for only the resources they use. These resources can be scaled up or down whenever needed. For hybrid clouds to run effectively, transparently, connect seamlessly, and interact, message queue must be deployed in Kubernetes.

Use Cases

Message queues support a diversified messaging pattern; it ensures flexibility and can create a wide range of use cases. The most common use cases of the messaging queue in Kubernetes are

Ease of use

A message queue system in microservices architecture can save time, money, as long as it is super easy to use. Native for Kubernetes message queue can seamlessly unify operation workflows and development, thereby saving great cost. Ease of use also ensures that the need for dedicated IT experts is not needed. A suitable message queue should ensure efficient memory usage, low latency, and include the fundamental messaging patterns (real-time pub/sub, request/reply, and queue) as well as supporting high volume messaging.

Gradual Migration to Kubernetes

Migration to Kubernetes must be done gradually to keep the data ongoing and ensure the business is operational. To achieve this Kubernetes messaging queue must connect seamlessly with the old and new system. Connectivity ensures that migration is carried out in a step by step procedure where new services are created without any downtime.

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