While there has been some incremental improvements in the last few years, there has been nothing significant recently - and I think there are four clear reasons for that. Firstly, there has been a lot of consolidation in the industry recently. When that happens, behemoth vendors focus far more on selling than building new products that are going to disrupt the industry.
Artificial Intelligence is in the news a lot, and it’s hyped as a cure for all ills in the same breath it’s suspected of spelling doom for us all. What’s the truth behind all the noise? What does artificial intelligence do, seeing as it is simply everywhere. The truth of the matter is that whatever the would-be prophets say, artificial intelligence and machine learning is here, now, and has applications to your day-to-day.
API gateways provide a central point to govern and control access to your APIs, enabling customers and partners to quickly create new experiences. Amazon API Gateway has native support for a variety of compute resources like AWS Lambda or Amazon Elastic Compute Cloud (Amazon EC2).
Avoiding a common pitfall in data science by enabling history mode.
Use schemas to make life easier for your analysts and engineers.
If each product is a world in its own, each industry in which that product -or service, for that matter- is deployed, is a universe. A seemingly chaotic universe full of data coming from every direction and angle that you, the product manager, need to catch, analyze, and funnel into your every day. If this does not sound easy, it is because it is not!
A decade ago, all developers could talk about was breaking down the monolith and event-driven architectures. Especially in the financial services industry, to become more nimble and accelerate their application delivery. They leveraged messaging systems to decouple the application, and specifically Apache Kafka has transitioned from being a data integration technology to the leading messaging system for microservices.
Microservices have become a popular way to architect applications, particularly those that compose functionality from a variety of loosely coupled systems and services. While there are a variety of frameworks and tools for implementing a microservice architecture, it isn’t always clear how to expose native code like C or C++ code within a wider microservice system. That’s where HydraExpress comes in.
