How to Monitor AWS S3 Performance?

Monitoring AWS S3

How to Monitor AWS S3 Performance?

The first section of AWS S3 was solely focused on a detailed discussion on AWS buckets, and the stark dissimilarities between S3 and EC2s. It also included listing out the advantages of S3 object storage and S3 API integration as well. The current section would be completely focused on AWS monitoring and the vitality of data leveraging and tracking metrics. The article would also shed some light on the significance of Sumo Logic as well.

AWS S3 Monitoring – What is it?

AWS CloudWatch and CloudTrail provide a good amount of clarity when it comes to infrastructure as and when they are enabled in the S3 buckets. By taking essential advantages of S3 monitoring, you as a user would acquire some important understanding as to how it can be used for performance improvement of your existing web applications.

AWS S3 Monitoring and Tracking

Both monitoring and tracking are amalgamated into the cloud environment perfectly so that each entity can make use of all the advantages. Some of the differences that need to be noted in this aspect include,

  • Monitoring –  gives you reports, metric tracking capabilities and issue responses comfortably keeping watch on them all. This is very similar to Amazon CloudWatch for keeping track of application health and performance.
  • Logging – a log is created containing all the detailed reports of your environment. This is again similar to CloudTrail for recording audit changes and API calls that would have been made to several AWS services.

Data Accumulation

AWS provides users with a vast number of techniques in which data accumulation can take place. Every bit of information gathered by your team members would give you increased visibility so that future decisions would be much instrumental.

S3 has a default functionality that it does not collect server access logs. If your team needs to access these objects within S3, then Server Access Logging on the S3 buckets must be created.

Your team members would be able to monitor everything and create rules around the buckets if they are armed with S3 Server Access Logging, AWS CloudWatch, and AWS CloudTrail.

Leverage Data – How to do it?

Let us take a practical instance for this scenario. A DevOps team is able to track the logs for particular events like a user is trying to gain access to an S3 bucket. AWS in this scenario would be able to send out notifications to the issue resolution teams so that access to root credentials be given swiftly. In this scenario, AWS CloudWatch and CloudTrail would be used along with AWS SNS and SQS.

Teams in the company would also be able to access data logs from S3 purely for business scenarios. With both CloudWatch and CloudTrail, teams would be able to consume logs into services like SumoLogic. This would help users with identifying trends that are currently running, increased traffic duration from multiple locations around the world.

Being able to respond quickly and foresee the possible downslides in performance can help immensely with respect to preparing for all possible scenarios.

S3 Monitoring Metrics

Web Applications metrics provide you with a detailed analysis of the behavior of particular systems. AWS CloudWatch consumes all of the tracking metrics present on cloud and displays it in the form of logs that can then be used for creating alarms, delineating and inquiring about these metrics.

With respect to CloudWatch results, users would be able to see minute logging and metric changes which can then be used to view them on dashboards and filtered based on the metrics.

Web Resource Visibility for AWS S3

It is vital to understand that data is secured in the S3 buckets. Amazon offers a wide range of tools so that teams would enjoy greater visibility into the resources pertaining to AWS S3.

S3 also offers audit tracking thereby providing team insights on those who are initiating the requests and what S3 resources are being used. Data security also solidifies the source of the data from where it has been requested.

Amazon offers Macie, a security service that makes use of machine learning to keep a note of sensitive information. This can also include social security numbers and other vital information of the users.

Monitoring AWS S3 using SumoLogic

Sumo Logic is a great service that is preferable to add with respect to your infrastructure. The ways in which Sumo Logic carries our this are as follows,

  • Strong Monitoring – Gets you a much deeper viewpoint on your existing infrastructure and other systems so that resolutions would be swifter.
  • Troubleshooting and Root Cause Analysis – Sumo Logic also assists with the identification of the starting point of the issue. It also helps in identifying the access logs and error codes so that swifter response to the issue is possible.
  • Reporting and Auditing – Sumo Logic also makes things possible when it comes to parsing through important information so that judgments can be made with respect to the information available. Sumo Logic makes things look easy when it comes to reporting and auditing.


There are many such features and functionalitie of AWS S3 which you can implement to availoptimize your business workflow productivity. If you do not have the expertise and need an experienced team to assist you with the AWS S3 service implementation and management then contact us at