This allows you to focus on innovation rather than infrastructure. MongoDB Atlas on Google Cloud reduces operational complexity, allowing developers to stay nimble.They all rely on MongoDB’s usability, scalability, and performance every single day for their day-to-day activities and development workflows. MongoDB evangelists are developers across thousands of diverse organizations like Sega, GAP, Adobe, NBC Universal, and UPS. Vadim Supitskiy, Chief Technology Officer at Forbes Shifting quickly to Google Cloud and MongoDB Atlas put us in a position to innovate and thrive even in the most difficult circumstances.” “We're very glad we moved to the cloud when we did. Atlas, paired with Google Cloud Platform, gives you access to Google’s 24 data centers across the world, with the highest possible speed and reliability. MongoDB Atlas is a database as a service (DBaaS) for MongoDB, a quick and easy solution for deploying in the cloud. With a cloud-hosted version of MongoDB on Google Cloud, you can improve time to value of your applications, as well as increase efficiency of product delivery compared to using legacy technology on premises. A Google Cloud-managed MongoDB cluster makes it easy to work with data, taking the operational heavy lifting away from the application teams and developers, while at the same time driving ROI and enabling the full potential of the database to be realized. And it does not provide much benefit in terms of developer experience. This can be just as expensive as whatever they were doing previously, if not more. However, many businesses tend to “lift and shift,” which is essentially taking what’s running on-premises and moving it to a cloud provider. Whether the reasons are security, data protection, data modernization, or cost and/or performance of operations, IT executives are launching cloud migration initiatives in every industry. If it feels like everywhere you look, organizations are moving to cloud services, including Amazon Web Services (AWS) and Azure, it’s because they are. High availability capabilities for MongoDB on Google Cloud.Global-scale and scalability right out of the box.MongoDB Atlas, the global cloud database service for MongoDB, provides three key benefits: You’re the team behind your company’s applications, and nothing is more important than spending your time developing features for your end users. Uni updated = ReactivePerson.update("name", "Mortal").MongoDB + Google Cloud = A Win for Developers Uni deleteCount = lete("status", Status.Alive) ĭeleteCount = leteAll() Uni countAlive = unt("status", Status.Alive) Uni> livingPersons = ReactivePerson.list("status", Status.Alive) PersonById = optional.map(o -> o.orElseThrow(() -> new NotFoundException())) Uni> optional = ReactivePerson.findByIdOptional(personId) Uni personById = ReactivePerson.findById(personId) Uni> allPersons = ReactivePerson.listAll() and accessible when uni1 will be resolved persist it: if you keep the default ObjectId ID field, it will be populated by the MongoDB driver, ReactivePerson person = new ReactivePerson() Long updated = personRepository.update("name", "Mortal").where("status", Status.Alive) lete("status", Status.Alive) īoolean deleted = leteById(personId) Long countAlive = unt("status", Status.Alive) List livingPersons = personRepository.list("status", Status.Alive) Optional optional = personRepository.findByIdOptional(personId) Person = personRepository.findById(personId) List allPersons = personRepository.listAll() Long updated = Person.update("name", "Mortal").where("status", Status.Alive) set the name of all living persons to 'Mortal' Long countAlive = unt("status", Status.Alive) īoolean deleted = leteById(personId) List livingPersons = Person.list("status", Status.Alive) Person = optional.orElseThrow(() -> new NotFoundException()) Optional optional = Person.findByIdOptional(personId) finding a specific person by ID via an Optional ObjectId personId = new ObjectId(idAsString) here we build a new ObjectId, but you can also retrieve it from the existing entity after being persisted Your must call update() in order to send your entity modifications to MongoDB persist it: if you keep the default ObjectId ID field, it will be populated by the MongoDB driver Person.birth = LocalDate.of(1910, Month.FEBRUARY, 1)
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