Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
Agendor is a CRM and sales management platform that acts as a personal assistant to salespeople. Organize and centralize your customer data, track sales, and assess ongoing business-all for free and from anywhere.
Want to explore Amazon CloudWatch + Agendor quick connects for faster integration? Here’s our list of the best Amazon CloudWatch + Agendor quick connects.
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Triggers when a new log is created.
Triggers when a Deal (Negócio) is set as lost.
Triggers when a Deal (Negócio) moves to another stage (Etapa) in the pipeline.
Triggers when a Deal (Negócio) is set as won.
Triggers when a new Deal (Negócio) is created.
Triggers when a new Organization (Empresa) is created.
Triggers when a new Person (Pessoa) is created.
Triggers when a new Task (Tarefa/Comentário) is created.
Triggers when a Deal (Negócio) is edited
Triggers when an Organization (Empresa) is edited.
Triggers when a Person (Pessoa) is edited.
Enable Alarm
(30 seconds)
(10 seconds)
(30 seconds)
(10 seconds)
(2 minutes)
Cloud computing is a new paradigm for development of software systems. It is the basis of current IT industry and allows to create high-quality, scalable software systems with time and budget savings.
Amazon Web Services is the most popular cloud provider. The company offers various services, e.g., data storage, load balancing, or hosting.
The Amazon CloudWatch is a monitoring service that tracks AWS resources and reports metrics about them. This service can be used for monitoring of cloud resources as well as application services. In the latter case, it will provide detailed statistics about the state of application components, such as CPU usage, memory consumption, etc. The users can create alarms based on these metrics to receive notifications about possible issues. These features make Amazon CloudWatch a great choice for monitoring of cloud resources.
The Agendor platform is a SaaS product that allows to configure and manage a Bamboo based continuous delivery pipeline for applications hosted on AWS. It is a simple way to create a CD pipeline for applications running on Cloud infrastructures including all important parts of the process, such as source code management, build, testing, deployment, etc. In other words, Agendor allows to automate this process using the Bamboo server as a central hub for infrastructure provisioning and deployment of software artifacts.
This article describes an integration of Amazon CloudWatch and Agendor. It lets you create a CD pipeline that automates the process of software deployment to AWS instances run by AWS Elastic Beanstalk. The deployment can be done manually or automatically according to specific conditions.
Integration of Amazon CloudWatch and Agendor allows to create a CD pipeline that enables managing AWS resources (such as EC2 instances. and deploying software artifacts (e.g., JAR file. It will be useful in the fplowing scenarios:
Manual Deployment – You can deploy artifacts to AWS servers manually using Agendor. Integration with Amazon CloudWatch allows to track changes made to the AWS instance (e.g., changes in its configuration and software installation.
Automatic Deployment – There are situations when you want to deploy an artifact automatically without human intervention (e.g., after completion of application tests. Integration with Amazon CloudWatch allows to track changes made to the AWS instance (e.g., changes in its configuration and software installation. It will be enough to create an alarm in Amazon CloudWatch and set it up via corresponding webhook to trigger automatic deployment process through Agendor.
Amazon CloudWatch and Agendor integration allows to create an automated CD pipeline that can be used in manual and automatic deployments.
The process to integrate Amazon CloudWatch and Agendor 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.
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