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).

The Go standard library has fantastic support for making HTTP requests. However, sometimes, a request needs to be modified or an action needs to be taken upon response (eg. logging a response). In many cases, adding these logs to the every request would involve a lot of duplicate code. In other cases accessing the client might not be possible because of restricted access in a different package or third party library. Thus, I introduce RoundTrippers.

Spending two decades in the middleware field has given me deep insight into the evolution of this technology domain. I began my career as a software engineer in a platform group, building reusable components using technologies like object linking and embedding (OLE), the distributed component object model (DCOM) and common object request broker architecture (CORBA).

gRPC is an inter-process communication protocol used in high-performance applications in cloud computing, Internet of Things (IoT), mobile computing, and microservices environments. This article examines how gRPC works, how to use it, and how it compares to other popular API architectures. It also discusses a unique use case where gRPC excels.

Processing, storing, and sending data is at the heart of how we communicate and get business done. This involves implementing various applications, software, and mobile devices that together form an intricate web to process data and information. Programmers will often use message brokers to facilitate this constant flow of information. Message brokers and Pub/Sub messaging systems are instrumental in allowing applications, services, and systems to communicate effectively.

Maximizing the value of streaming data requires carefully navigating operational tradeoffs when developing and managing cloud native applications. Organizations that are rapidly producing and processing high volumes of data — like Netflix, Salesforce, Shopify and even the United States Postal Service (USPS), are constantly applying and testing new methods to manage the complexity of data streaming in the cloud.