Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.PostgreSQL Integrations
Gmail + Amazon CloudWatchEnable Amazon CloudWatch alarm from new Gmail emails matching the specified search criteria [REQUIRED : Business Gmail Account] Read More...
WA metrics repository, Amazon CloudWatch monitors service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, set alarms, and automatically react to changes in your AWS resources. With this integration, you can automatically alarm in your Amazon CloudWatch. Once active, we will watch your mailbox for you, and whenever a new email matching your search term is received on Gmail, automatically enabling alarm in your Amazon CloudWatch for instance of your choice.
Note: To use this integration you must have a Business Gmail account.
Gmail + Amazon CloudWatchEnable Amazon CloudWatch alarm from new Gmail emails matching specified search criteria [REQUIRED : Business Gmail Account] Read More...
It's easy to connect Amazon CloudWatch + PostgreSQL without coding knowledge. Start creating your own business flow.
Triggers when a new log is created.
Triggered when you add a new column.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Adds a new row.
Updates an existing row.
The CloudWatch service is used to monitor Amazon Web Services. It helps customers to collect, store and process AWS metrics. CloudWatch uses Amazon CloudWatch Logs to store logs from the AWS resources. It allows users to collect and store log data in a central repository. The collected data can be used for analysis. It helps in viewing resource performance history. In this paper, we will discuss the integration of Amazon CloudWatch and PostgreSQL.
The integration of Amazon CloudWatch and PostgreSQL is accomplished through the application program interface (API. The API enables data from Amazon CloudWatch to be read into PostgreSQL database. The integration of Amazon CloudWatch with PostgreSQL provides two major benefits. The first benefit is that it increases the stability of database applications. It enables PostgreSQL to receive notifications through Amazon CloudWatch. There can be conditions that can cause database downtime. An example of such a condition is disk full, which can cause PostgreSQL database to hang. This can lead to database downtime. The integration of Amazon CloudWatch with PostgreSQL helps to eliminate such cases of database downtime. It sends notifications to PostgreSQL whenever disk space is nearly full. This gives PostgreSQL enough time to deal with the disk space issue before it causes a database outage. The second benefit is that it reduces the cost of operating database applications. It stores application and system logs in a central repository using Amazon CloudWatch. These logs can be accessed when needed for monitoring and analyzing resource performance history in Amazon CloudWatch Logs. The cost of operating database applications can be reduced by reducing the need to maintain expensive logging infrastructure on-premise or in the cloud.
Amazon CloudWatch Logs is an important service that helps monitor and analyze resource performance history. It integrates with other services that help decrease the cost of operating database applications. One of these services is PostgreSQL, which has been used for many years for storing and retrieving data across the globe. With the help of this integration, PostgreSQL performance can be monitored more efficiently by providing notifications about certain conditions that might cause issues or errors within the database application.
The process to integrate Amazon CloudWatch and PostgreSQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.