Importance of Monitoring Systems
Software engineers often forget the importance of monitoring systems that run their infrastructure. When things go wrong, they do not have the tools to detect and react to issues fast enough. This can be dangerous because it may take them hours or even days to notice and correct the problem. And during those hours or days, the service may be unavailable. So they can lose a lot of business. You can read more on how to monitor applications with AWS effectively.
DataBricks Lakehouse
The Databricks Lakehouse platform offers users a way to manage their data in one place - on-premises or on the cloud - while enabling organizations to use AI, ML, and IoT solutions from the same platform.
You don't need to build a new architecture or software when you have data in the lake. You get full access to the data - whether it resides in the cloud or on-premise. Your users can easily access and share data using the tools and APIs they already know. And the platform is designed so that users can evolve quickly, with minimal effort and time commitment, while avoiding the risk of investing time and money in building a separate data warehouse.
AWS CloudWatch
An AWS account allows you to use the resources of the cloud, including the elasticity, security, availability, and scalability of your applications. Amazon CloudWatch is a part of the AWS family that assists in monitoring, alerting, and collecting analytics for our AWS environments.
The solution offered by Amazon will help you keep track of everything you use on the cloud. This includes both resources and services. It will tell you whether those resources and services are currently working and if any issues need to be addressed. Also, you can check the troubleshooting practices regarding CloudWatch.
Although this isn’t a novel idea, AWS with Amazon CloudWatch will provide benefits to you. So let’s look at steps for integrating Databricks with AWS CloudWatch, which will further top you run your data applications more efficiently. You can check the detailed tutorials about billing, concepts, and the services given by aws cloudwatch here.
How DataBricks Integrate with CloudWatch
To read the steps visit here
Conclusion :
With the integration of DataBricks with AWS Monitoring service CloudWatch you can locate the problems before they impact your entire organization, if you use monitoring and alerting. These tools allow you to spot slow jobs or jobs that haven't completed successfully, so that you can fix any issues that are causing these delays before they affect your data pipelines. Monitoring can also help you identify larger data sets or detect regional outages, so you can take action and prevent data loss.
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