Based on our record, Azure Cosmos DB should be more popular than Azure Pipelines. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The details depend on what the unit of deployment is: VMs? Containers? Something else? Depending on the unit of deployment you can run VMs, a managed kubernetes cluster or the much cheaper Azure container apps combined with PaaS offerings like managed Databases, Firewalls, API gateways, monitoring etc. You could start with Azure DevOps pipelines [1], but billing is opaque which doesn't help when tracking down... - Source: Hacker News / over 1 year ago
We use GitHub Actions and Azure DevOps for our Continuous Integration and Continuous Delivery system. When the changes on the Terraform infrastructure repository are added to the main branch, the CICD system gets triggered and the plan is executed on our development environments. When the logs from the plan are the expected ones we manually run the apply. - Source: dev.to / almost 3 years ago
Have a look at azure pipelines. Pretty easy to set up so you can push code from VS to github or an azure repo and the pipeline will handle deployment to an azure app service. The MS docs are very detailed and pretty much walk you through it all. https://azure.microsoft.com/en-us/services/devops/pipelines/. Source: almost 3 years ago
Also I selected some pages you can read more about like Amazon, Google or Microsoft among other definitions. - Source: dev.to / about 3 years ago
If you are writing the code maybe consider learning Cosmos DB it’s pretty easy to work with and there is a free tier. Also in my experience it’s much faster than a SQL database. Source: 12 months ago
Sometimes you don’t need an entire Java-based microservice. You can build serverless APIs with the help of Azure Functions. For example, Azure functions have a bunch of built-in connectors like Azure Event Hubs to process event-driven Java code and send the data to Azure Cosmos DB in real-time. FedEx and UBS projects are great examples of real-time, event-driven Java. I also recommend you to go through 👉 Code,... - Source: dev.to / over 1 year ago
When debating the database solution for our application we were really seeking for a scalable serverless database that wouldn’t bill us for idle time. Options like AWS Athena, AWS Aurora Serverless, and Azure Cosmos DB immediately came to mind. We believed that GCP would have a comparable service, yet we could not find one. Even after consulting the GCP cloud service comparison documentation we were still unable... - Source: dev.to / almost 2 years ago
If you are looking for one to start with; you can try Cosmos: https://azure.microsoft.com/en-us/services/cosmos-db/. Source: about 2 years ago
I have had an opportunity to work on a project that uses Azure Cosmos DB with the MongDB API as the backend database. I wanted to spend a little more time on my own understanding how to perform basic setup and a simple set of CRUD operations from a Node application, as well as construct an easy-to-follow procedure for other developers. - Source: dev.to / about 2 years ago
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
BuildMaster - BuildMaster Software is an application release automation software that also specializes in release management. It was designed by Inedo, a software development company. Read more about BuildMaster.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.