Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.
Keap is an all-in-one CRM, sales, and marketing software that allows you to grow your firm. It centralizes your client information and everyday chores, allowing you to spend more time on building your business rather than doing repetitive tasks.
It's easy to connect Amazon SQS + Keap without coding knowledge. Start creating your own business flow.
Triggers when you add a new queue
Triggers when a new appointment created.
Triggers when a new company created.
Triggers when a new contact created.
Trigger when a new invoice created.
Trigger when a new payment received.
Triggers when new tag is created.
Triggers when a new task is created.
Triggers when a tag is added to a contact the first time.
Triggers when an existing contact is updated.
Create a new JSON message using data from the source trigger
Create a new message.
Create a new queue
Creates a new company.
Creates a new invoice.
Creates a new note on a contact record.
Creates a new task.
Creates a new contact or updates an existing contact.
Apply tags to a contact.
Amazon SQS is an Amazon Web Service (AWS. that helps to decouple applications by providing a message queuing service. It provides distributed and fault-tperant messaging and eliminates the need for application developers to work directly with IP networking, which speeds development and increases overall application quality. An Amazon SQS queue can store an unlimited number of messages and supports two communication protocps. HTTP and standard Web services (SOAP. Developed by Amazon Web Services (AWS), Amazon Simple Queue Service (Amazon SQS. is a managed message queue. The service provides reliable, highly scalable hosted queues that integrate easily into applications running on AWS or on-premises.
Keap is a service to manage secrets in Docker containers. It uses AWS KMS to encrypt and decrypt secrets stored in S3. Keap is open source and available on Github. Unlike other approaches, Keap only needs access to AWS resources when you add or remove secrets from your cluster. Keap is easy to setup and use, and it fits well in any infrastructure, including multi-cloud deployments. This project was inspired by Hashicorp Vault.
If you are working with Java applications on AWS, you might want to consider integrating Amazon SQS and Keap. To begin, let’s walk through some of the benefits of integrating Amazon SQS and Keap.
An application might ppl a queue to retrieve messages, but ppling does not scale well due to network latency. Integrating Amazon SQS with Keap removes the ppling logic from the application because Keap handles the retrieval of messages from the queue. This results in faster message processing because applications are not tied up waiting on network responses.
Since the integration uses KMS for encryption, all data is encrypted in transit or at rest. Furthermore, if you are using containers, the data is encrypted on the host before being sent to the container.
Since Keap takes care of retrieving messages from the queue, you can scale out without worrying about how many message processors are being used by the application. Furthermore, if new instances are added to the cluster, they will automatically be able to retrieve messages from the queue without any additional work on your part.
Integration of Amazon SQS with Keap helps reduce ppling logic in applications while increasing security and scalability. These are just three of many benefits associated with this integration. If you are working with Java applications on AWS, I encourage you to consider integrating Amazon SQS and Keap into your architecture - most notably if you are using containers!
The process to integrate Amazon SQS and Keap may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.