Asynchronous communication between various CX applications has long been made possible by enterprise messaging solutions like IBM MQ and – more recently – Apache Kafka. Developers might assume that these two technologies are interchangeable. However, once they scrape the surface, critical differences between IBM MQ and Apache Kafka come to light.

Kafka vs RabbitMQ – A side-by-side comparison of the performance and architectural differences between the two popular open-source messaging systems. As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka – Which one is a better message broker?

Playbooks aim to be a super-powered checklist for repetitive tasks. Before you can get to the “super-powered checklist,” though, you need to identify the process that you’ll use to build your first playbook and create a structured process as a Playbook checklist. Let’s go on that journey today.

You go for a run, and when you’re done, your buddy, adidas Running, will tell you how you did. Maybe you hit a new goal this run or need encouragement to work harder next time. No matter what, behind the scenes there is a dedicated team of engineers relying on the stable foundation of RabbitMQ. Ever since sports tracking apps saw the light of day, it’s almost like a workout without tracking, somehow is less valuable to us. Imagine a run streak on day 1,000 without functioning measurements!

AIOps stands for artificial intelligence for IT Operations. AIOps, is a set of tools and algorithms that gather data from the entire IT environment, including different monitoring systems, log files and other IT data sources. It then analyzes and applies machine learning algorithms to determine the root cause of an incident. This means that instead of having to go through a long troubleshooting process by analyzing log files and manually looking for root causes, AIOps does it for you in minutes.

Do you have an application built with Django and PostgreSQL that you’d like to run on Kubernetes? If so, you’re in luck! In this tutorial, you’ll learn how to orchestrate your Django application with Kubernetes. Since we’re working with multiple microservices, it can be difficult to ensure all parts work together. This tutorial will demystify all that.

As defined by Amazon Web Services, DevOps is the integration of cultural concepts, practices, methods, and tools which allow an organization to provide services and applications at high speed: advancing and improving their products at a much faster rate than those using traditional software process for infrastructure management and development. This allows organizations to serve clients more effectively and compete in the market.

Developing a strategy for integrating data across your organization helps ensure that everyone has access to the most up-to-date data in a secure way. This article provides an example of a strategy you can use to develop your own. Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.

Apache Kafka is the de facto standard for event streaming use cases across industries. Many use cases can be applied to the aviation industry, too. Concepts like payment, customer experience, and manufacturing differ in detail. But in the end, it is about integrating systems and processing data in real-time at scale. For instance, omnichannel retail with Apache Kafka applies to airline, airports, global distribution systems (GDS), and other aviation industry sectors.

Mattermost v7.4 is generally available today. The following new features are included (see changelog for more details).