Articles

Cloud services from multiple vendors would allow business enterprises to access best-in-breed services and technologies. According to the data published by Faction, about 92% of companies have already switched to a multi-cloud environment and 82% of the large business entities adapted to hybrid cloud infrastructure. This clearly shows the influence of multi-cloud strategy in the business world.  

Multi-cloud infrastructure plays a key role in improving the IT infrastructure of an organization which leads to experiencing huge benefits. Adapting to the multi-cloud infrastructure would enable businesses to meet the business needs and expectations of modern consumers according to the market condition. 

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With IoT solutions implemented in fleet management, the supervisors and managers will know about the vehicle’s health, current position, updates from the drive, fleet health, cargo, and so on. No matter where you are located, the right fleet management structure will make it more proactive and precise. 

Understanding Fleet Management and the Role of IoT

The basic purpose of fleet management is to structure the fleet and its activities to get the best outcome. In terms of management, this includes taking care of the vehicles and drivers, monitoring the vehicle’s health, tracking the cargo, ensuring that the vehicles can deliver the cargo on time, adjusting the vehicle route, and so on. 

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In our day-to-day work, we develop applications that include interactions with software components through I/O. They can be a database, a broker, or some form of blob storage. Take, for example, the cloud components you interact with: Azure Storage Queue, SQS, Pub/Sub. The communication with those components usually happens with an SDK.

From the start, testing will kick in. Therefore, the interaction with those components should be tackled in a testing context. An approach is to use installations (or simulators) of those components and have the code interacting with an actual instance, just like the way it can be achieved by using test containers or by creating infrastructure for testing purposes only.
Another approach is to spin up a mock service of the components and have the tests interacting with it. A good example of this can be Hoverfly. A simulated HTTP service is run during testing and test cases interact with it. 

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The internet ecosystem is currently shifting significantly with the dawn of decentralization. More and more decentralized technologies are becoming mainstream and gaining acceptance by the world at large.

As far as innovation and development is concerned, the startup way of doing things has prevailed. While more prominent companies have tried to get into the space, none of their projects has been groundbreaking regarding their usage. Startups have the upper edge, with many creating successful businesses like opensea.io, Alchemy, and IPFS/filecoin (Protocol Labs).

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This is an article from DZone’s 2022 Kubernetes in the Enterprise Trend Report.

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In today’s world, it’s more important than ever to have visibility into your system’s performance and health. Modern applications rely on complex microservices architectures and cloud-native technologies, like Kubernetes. Observability helps us understand not just application behavior, but also infrastructure configuration changes and dependencies, as they happen in real-time. 

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Flutter is a new framework for developing mobile apps that promise to be faster and more efficient than React Native. But what exactly is Flutter, and how does it compare to React Native?

Flutter is a mobile app SDK that allows developers to create high-quality native apps for both iOS and Android. Flutter uses the Dart programming language, which is similar to JavaScript, but with some important differences.

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If you’re relatively new to Kubernetes, or not entirely sure what an Operator is, and why IBM created one for IBM App Connect, this post is for you. 

You do not have to use the Operator to use IBM App Connect in containers. However, we aim to show how the Operator significantly simplifies Kubernetes deployment.

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This might sound like a joke, but it’s actually not. First, let’s define inheritance. Inheritance is the ability to use polymorphism to override a method with another implementation. You inherit from a class, and you override one of its virtual functions. This results in that code having an object that will no longer invoke the old base class method, but rather the new overridden method. Kind of easy, right?

Polymorphism Is the Ability To Have Old Code Invoke New Code

Well, there’s nothing intrinsically special about class-based OOP that prevents you from implementing the above in a functional context. In a functional programming language, you can have a reference to a function, and replace the function it’s pointing to, before passing in your function reference to some method in need of a function with the specified signature. This achieves the exact same result as « classic polymorphism. »

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Knowing anti-patterns and pitfalls is often more useful than knowing patterns when designing a system, so I decided to write this blog post about factors that I think will lead to producing unreliable systems from my experiences in designing (mostly) distributed enterprise applications.
I’ll be pleased to know your related experiences and comments on the matter.

What Is Modeling?

The human brain is a pattern-seeking device. However, it’s a costly process, and the main goal of thinking is to terminate/resolve what caused this process to start in the first place; so it has developed several mechanisms to prevent it from happening too often; the one related to our discussion here is the mental model. Reality is complex, chaotic, and too messy for our limited brain capabilities and resources to comprehend as it is (if that’s even possible); so our minds will try to create an alternative reality which is very simple and (most of the time) easily understandable, and that’s what modeling is all about! from how we think about how nature works, in science for example, to proper social behavior, to what to be afraid of or seek for, all are the results of our mental model. It is noteworthy that models are neither objective reality nor meant to be so!

Source de l’article sur DZONE