Sts fetching local cloud stack overflow4/19/2023 ![]() ![]() Data Layer - MongoDB Atlas clusters and MongoDB data lakes storage.MongoDB Atlas, MongoDB’s Data as a Service, offers capabilities in all the cloud computing stack layers, providing one holistic solution to the end user.Ītlas App Services, MongoDB’s mobile database, and Application Development Services are part of the Atlas platform, boosting the MongoDB Cloud Stack. The security layer must expand across the communication and activity of all the components, validating and securing the network to trusted parties. The green squares in the diagram represent cloud services that form the application stack. However, in other cases, they might use any of the types to form the application stack, which is common in the microservices world. In some cases, users will choose one of the cloud computing types for the entire application stack. To visualize the hierarchy of these types, we can view the following image: MongoDB consumes IaaS when providing you with its MongoDB Atlas clusters, for example. Essentially, it provides servers, network, and virtual resources to run the compute and cloud storage power you need.Īn example for this type is an AWS EC2 offering, where you deploy your servers/network and security policies managed by the AWS cloud API. Infrastructure as a Service is currently one of the low-level services you can expect from a cloud computing provider. Benefits of Using a Cloud Computing Stack. ![]() MongoDB Atlas and Cloud Computing Stacks. ![]() Let's start by understanding the cloud computing stack and what it is. In this article, we will explore what cloud computing stack means and how MongoDB and MongoDB Atlas can power your cloud computing stack. One approach to cloud computing architectures is a service-oriented cloud architecture that is built around cloud computing stacks. Cloud architectures allow us to fulfill almost every imagined deployment architecture for our application foundation, starting from data services to security and integration with third-party services to provide any processing needed. Cloud computing offers a wide range of services and computing ability without the heavy lifting of the entire assembling operation. In the next section, we'll look at some code examples that demonstrate these scenarios.As developers seek to provide better applications and/or systems to the end user, choosing the correct application stack is crucial. This will cause the constructor of the same class to be called again and again (recursively) which eventually results in a StackOverflowError. This can also be considered as a form of recursion.Īnother interesting scenario that causes this error is if a class is being instantiated within the same class as an instance variable of that class. In this situation, the constructors of each other are getting called repetitively which causes this error to be thrown. ![]() The StackOverflowError can also be thrown when an application is designed to have c yclic relationships between classes. Another rare cause is having a vast number of local variables inside a method. This is a rare case since no developer would intentionally follow bad coding practices. It can also happen in a situation where an application keeps calling methods from within methods until the stack is exhausted. However, recursion is not the only cause for this error. The most common cause for the JVM to encounter this situation is unterminated/infinite recursion – the Javadoc description for StackOverflowError mentions that the error is thrown as a result of too deep recursion in a particular code snippet. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |