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This article offers a high-level comparison of Pulsar and Kinesis, contrasting important factors such as cost, scalability, and performance. exploring relevant use-cases that highlight the capabilities and differentiators of each.

Messaging is essential to modern life and how you get things done. So, without messaging, how would the world look? This question may appear far-fetched, but it’s a significant concern for computing. How do you talk to software? What is the mechanism through which software programs communicate with each other? How does software speak to you?

This article examines how Pulsar and Kafka approach streaming by discussing their architectures and services. After briefly reviewing the definition of streaming, we’ll start our discussion with Kafka, since it’s the tool against which all others in the category are compared. We’ll then outline how Pulsar differs from and solves the problems Kafka leaves unaddressed — specifically, how it handles …

Let’s take an in-depth look at the similarities and differences between Pulsar and RabbitMQ

This article introduces REST and event-driven architectures and explains why organizations should move to an EDA to maximize customer satisfaction.

In this article, we’ll explore why and how using a managed Apache Pulsar service saves you time and energy by reducing toil. We’ll explore some partners that offer a Pulsar as a service solution and highlight their strengths and challenges to help you select a managed service to use.

With companies adopting the event streaming pattern, analytics has to become more "realtime" too. A great database for event analytics is Apache Druid. Druid connects natively to various event streaming systems such as Kafka and AWS Kinesis.

In this article, we’ll explore what event streaming is, how it works, and discuss the growing importance of event streaming. Then, we’ll highlight how we can simplify the task of learning event streaming with the help of Apache Pulsar.

Let’s explore some advantages and challenges of moving from JMS to Pulsar.

In this article, we'll evaluate the features, architectures, performance, and use cases of Apache Pulsar versus Kafka, to help you decide which is the better solution for you.

This article explores how to enable observability for your Pulsar environment using Prometheus and Grafana, starting from a demo standalone Pulsar cluster. You then learn how to import sample Grafana dashboards for Pulsar from GitHub. Finally, once everything is up and running, we zoom in on several of the standard and crucial metrics for building your observability dashboards on Pulsar.