Resource Center

In the second installment of our Amazon Redshift series, we covered the different ways you can monitor the performance and disk space of your Redshift servers using tools in AWS. In this final post, we will discuss how you can take your monitoring and logging efforts up a couple of notches by using Sumo Logic with Amazon Redshift.

This is the third and last in a series of articles on Amazon CloudTrail. In the first part of the series, we introduced AWS CloudTrail and how it works and saw where and how it saves its data. We then learned how to query CloudTrail logs in the second part of the series where we used Amazon Athena to find meaningful information from large volumes of CloudTrail data.

In part 2 of our AWS S3 Monitoring series, we covered the basics of AWS S3 logging, why it’s important to log all the information in your cloud environment, and also the benefits of monitoring those logs.

Nowadays, it’s not uncommon to see enterprise IT leaders in a situation that seems like a catch 22. Oftentimes, they are expected to be involved in making data-driven decisions for augmenting productivity and profitability. Paradoxically, they are preoccupied with what they consider as their core responsibilities – applying best practices to safeguard the IT infrastructure and expediting investigations when incidents occur. As practitioners of IT, we must admit that it rings a bell and also chip in with our knowhow.

First time this year, multi-cloud enterprises, as a customer segment of Sumo Logic, have grown faster than any other segment: 50% Y/Y. What took so long? In my conversations with enterprises over the last 5 years, there was only one strategy for public cloud and it was multi-cloud. But evidence of multi-cloud usage was sparse at best. Data from our Continuous Intelligence Report in previous years didn’t find much to support that the strategy for multi-cloud was being implemented.

Never before in history has the concept of identity been so vital. To a large extent, everything we rely on to live our lives depends on who we are… or perhaps more accurately, who we can prove ourselves to be. Our data has come to be the standard by which we define ourselves. Because this identity-defining data is online, the protection of our data is of paramount importance.

In the first part of our AWS S3 series, we discussed what AWS S3 buckets are, the difference between S3 and EC2s, advantages of AWS S3 object storage, and AWS S3 API integration. In this next post, we’ll be covering AWS S3 Monitoring, including the importance of leveraging data and monitoring metrics, and how Sumo Logic provides insight into your infrastructure with S3 logs.

If there is one thing that all Software as a Service (SaaS) companies understand, it is the pressure of “being fired”, as SPS Commerce’s Andy Domeier puts it. SPS Commerce is a cloud-based supply chain management software company and Andy is a Senior Director of Technology there - so he knows what he is talking about.

Amazon Simple Storage Service, widely known as Amazon S3, is a highly scalable, fast, and durable solution for object-level storage of any data type. Unlike the operating systems we are all used to, Amazon S3 does not store files in a file system, instead it stores files as objects. Object Storage allows users to upload files, videos, and documents like you were to upload files, videos, and documents to popular cloud storage products like Dropbox and Google Drive. This makes Amazon S3 very flexible and platform agnostic.