Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.
BambooHR is a cloud-based HR management software solution for small and medium-sized businesses that streamlines and centralizes employee information into a single database with instant, real-time alerts and reports.BambooHR Integrations
Amazon DynamoDB + Amazon DynamoDBGet IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
BambooHR + Microsoft ExchangeAdd new BambooHR contacts to Microsoft Exchange as contacts Read More...
It's easy to connect Amazon DynamoDB + BambooHR without coding knowledge. Start creating your own business flow.
Trigger when new item created in table.
Trigger when new table created.
Triggers when a company report changes. Works best with reports sorted by a date field in descending order.
Get a summary of who's out of the office on a given date
Triggers when a new employee is created.
Triggers when a new time off is found for the selected conditions. Limited to those employees and time off types that you have view access to.
Triggers when a new time off request is created by an employee whose requests you're able to approve
Creates new item in table.
Creates a new employee
Approve, deny, or cancel a time off request.
Updates an existing employee
Amazon DynamoDB is a web service that provides NoSQL database storage. BambooHR is a human resources management tool for companies with over fifty employees. The two companies have contracts for Amazon DynamoDB to provide human resource management, and BambooHR to provide workforce management. Since the services are integrated, employees can be added to and removed from the workforce at any time.
The integration of Amazon DynamoDB and BambooHR makes the companies more productive by cutting down on paperwork and errors. There is no need to update each system separately, which saves time. Employees can be added or modified in one database, and the changes will automatically be reflected in the other. Because it is so easy to add employees, you don’t have to worry about overlooking someone. It is also easier to cut down on paperwork by not printing out forms for employees. This is especially helpful for smaller companies that do not have a dedicated human resources department.BambooHR allows managers to track hours worked by employees. With this information, they can calculate paychecks and overtime. Human resources managers can also easily see who is working when and how many hours per week they are working. They can keep track of vacation time, too. Managers are responsible for following up on these issues in person, but the software makes it much easier to do this. The software also tracks attendance records so managers can see if employees are coming in on time and leaving on time. If there are problems with attendance, the software makes it easy for managers to follow up with employees.
The integration of Amazon DynamoDB and BambooHR is beneficial for both providers and customers. The companies are more productive because data is entered once and can be viewed by many people at different levels of the company. Employees are happier because they don’t have to deal with as much paperwork and there are fewer errors in their paychecks.
Create an outline for an article about AWS Lambda and CodePipeline:
AWS Lambda is a cloud computing platform that provides infinite compute power for applications that need it only when they need it. CodePipeline is a continuous delivery service that does automatically what developers used to do manually. Developers use CodePipeline to test code and deploy it whenever new code is pushed to the master branch of a repository on GitHub or Bitbucket or similar source code host. CodePipeline may also automate deployments to multiple environments (e.g., staging or production. CodePipeline monitors the master branch of a repository for updates and triggers pipelines that contain one or more stages each in order to process changes to the code. Each pipeline represents a step in the overall build process that improves software quality before deployment to environments such as development, testing, staging, or production environments. Each stage in a pipeline processes a set of actions called a “job” where each job represents a unit of work performed against the code in a repository. Once CodePipeline has been configured, only a little maintenance is needed, which means developers can focus on writing code instead of performing repetitive tasks that do not improve the product they are building.
AWS Lambda allows developers to focus on developing new features instead of maintaining servers by providing them with infinite compute power for functions they write in Node JS, Java 8, Python 2.7, C#, or Go; Amazon Lambda uses Amazon EC2 infrastructure and ELB services to run these functions automatically without any effort from developers except writing functions that serve requests from end users when the latter trigger events (e.g., user uploads file via form. On the other hand, CodePipeline automates deployment activities by providing an abstraction layer between code stored in repositories and its final destination. either an environment such as development or production or some platform such as Kubernetes, Heroku, or VSTS/TFS .
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