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. Part of the core value of buying SaaS solutions is that you are typically buying a subscription, which means that you can also cancel that subscription at some point.

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.

Informatica is an enterprise cloud data management company, which means they have a full suite of products that focus on data integration and data management. In fact, they are a leader in 5 different magic quadrants including Enterprise Integration Platform as a Service, Data Quality Tools, and Master Data Management Solutions.

With Sumo Logic, we can put all of these pieces together to build end-to-end Observability in Kubernetes.

In the first post of our three-part Amazon Redshift series, we covered what Redshift is and how it works. For the second installment, we’ll discuss how Amazon Redshift queries are analyzed and monitored. Before we go deep into gauging query performance on Redshift, let’s take a quick refresher on what Amazon Redshift is and what it does.