Building Microservices With Go : Download Free Book !!EXCLUSIVE!!

The confused deputy problem is where one system can abuse the trust another system has and will execute a command that it would not ordinarily be allowed to do. Consider a system that issues refunds inside your system; you think that the system is safe, as it is a private API sitting behind your firewall, but what if an attacker manages to compromise your firewall? If they can detect that sending a POST request with a payload to a server will refund money to a bank or PayPal account then they do not even need to attempt to attack further into your infrastructure in order to get their payday. This scenario is all too common; when building systems, we place too much trust on the external defenses and run a principle of trust ...

Building Microservices with Go is packed with real-world examples of building microservices with Go. It is easy to read and will benefit smaller teams who want to extend the functionality of their existing systems. (Limited-time offer)

Go, designed by Google engineers Robert Griesemer, Rob Pike, and Ken Thompson in 2007, is known for being fast and reliable, which is why it remains popular for web developers today. Go, combined with the power of microservices, helps build fast, efficient, and robust applications.

We can create a microservice with just one endpoint to execute a single action, like the well-known serverless concept. But we often let microservices perform multiple actions. For example, you may build a microservice to get product details, add new products, and remove existing products. This approach is known as the RESTful pattern.

Note that these microservices simulate invoice generation and printing documents with console messages. In other words, these microservices demonstrate only synchronous inter-service communication, not actual invoice generation and printing.

We can follow the MVC pattern principles to structure our code. Also, we can try to use common practices that most Go developers accept and use. Verify the following checklist when you work with Gin-based microservices.

With the evolving architectural design of web applications, microservices have been a successful new trend in architecting the application landscape. Along with the advancements in application architecture, transport method protocols, such as REST and gRPC are getting better in efficiency and speed. Also, containerizing microservice applications help greatly in agile development and high-speed delivery.

2. As per the functions defined in the interface, we will need five endpoints to handle the requests for the above methods. If you are wondering why we are using a context package, please refer here. Contexts enable the microservices to handle the multiple concurrent requests, but maybe in this blog, we are not using it too much. It's just the best way to work with it.

We have learned how to build a complete project with three microservices in Golang using one of the best-distributed system development frameworks: Go kit. We have also used the database PostgreSQL using the GORM used heavily in the Go community.We did not stop just at the development but also we tried to theoretically cover the development lifecycle of the project by understanding what, how and where to deploy.

For those of us that may be old enough to remember, the concept of microservices emerged from the service-oriented architecture (SOA) that was introduced nearly 20 years ago. SOA applications used technologies such as the Web Services Description Language (WSDL) and Simple Object Access Protocol (SOAP) to build enterprise applications. Today, however, the Representational State Transfer (REST) protocol is the primary method for microservices to communicate with each other via HTTP.

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Choose from a variety of productive programming models and languages including .NET Core 2.0, C#, and Java to build your microservice and container-based applications. Deploy Service Fabric cluster in Azure or use Azure Service Fabric mesh - a fully managed microservices platform, currently in preview. Azure Service Fabric is also available as a free download for Windows Server, enabling you to create Service Fabric clusters on premises or in other clouds.

Deliver fast yet safe upgrades with zero downtime, automate scale operations, integrate health monitoring, and provide automatic recovery from failures. Orchestrate microservices and container-based apps, gain insight into application health and performance, and enable development of low-latency, resilient services that scale.

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This 2nd edition involves every page of the best selling 1st edition being reviewed and where appropriate reworked, with new topics covered for the first time. This edition will be reflecting the shifts in the use of microservices over the last five years, including an exploration of some of the new technology which has emerged.

I wrote the first edition of Building Microservices in around a year, starting at the beginning of 2014, with the book being released early 2015. This was early in the microservices story, at least in terms of the wider industry's awareness of the term. Since then microservices have gone mainstream in a way that I couldn't predict. With that has come a much wider set of experiences to draw upon, and more technology to explore.

As I worked with more teams in the wake of the first edition, I started to refine my thinking around some of the ideas associated with microservices. In some cases, this meant that ideas which were only at the periphery of my thinking, like information hiding, started to become more clear as foundational concepts that needed to be better highlighted. In other areas, new technology presented both new solutions and new problems for our systems. Seeing so many people flock to Kubernetes in the hope that it would solve all their issues with microservice architectures was certainly one of those moments that gave me pause for thought.

When it comes to modern software development, microservices are one of the hottest trends. These small, standalone software services allow developers to build and deploy smaller code chunks that can be updated more frequently and respond faster to user needs. In addition, with microservices, teams can update individual services on their own schedule instead of waiting for a new version of the entire application or OS upgrade. Each service is also much smaller, making it easier to understand, test, document, and maintain. Moreover, microservices help you address any challenges that may arise during development.

As we mentioned earlier, these small services can be updated more frequently. This is especially advantageous when the requirements often change, new features need to be added, or if a particular service becomes bogged down with lots of requests and needs an upgrade. With microservices, teams can update individual services on their own schedule instead of waiting for a new version of the entire application or OS upgrade.

Deployment is the process of moving your application from your development environment to your production environment. You should design your application with microservices in mind so that each service is easy to deploy. With microservices, you can easily move each service between environments or update one service without affecting other services.

Ultimately, the pros and cons of using microservices will depend on your particular situation. However, in general, microservices are excellent for large and complex applications that need to scale. Therefore, they are often used in conjunction with containers and service-oriented architecture. On the other hand, microservices are not always valid for small applications. However, microservices are suitable for both large and small applications, and their usefulness depends on how they are implemented.

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