Resource Center

At this year’s AWS reInvent, we heard Andy Jassy go on stage to announce a bunch of new services to help companies unleash the power of cloud. 27 new services to be exact - everything from Machine learning IDE , to code review tools to contact center offerings (see the full list here); last year, AWS announced another 30 new services ranging from machine learning to VR/AR to satellite data.

In this three-part series, we will take a hard look at Amazon’s Elastic Kubernetes Service: how it helps organizations run Kubernetes on AWS, what insights can be gained in EKS and how it’s monitored, and finally, how organizations can get the most out of EKS with the help of Sumo Logic. For the first installment, we’ll learn how it works and how organizations can get started with Amazon’s Elastic Kubernetes Service.

For nearly 10 years, AWS and Sumo Logic have been the perfect pairing for businesses going through their digital transformation journey. AWS provides the best technology to help companies with their digital transformation, while Sumo Logic provides continuous intelligence and insights to monitor, run and secure those applications on AWS.

AWS offers more than 150 discrete services, spanning compute, storage, database, network, and identity management to name a few. Earlier this year we published our Continuous Intelligence Report in which we surveyed Sumo Logic customers on how broadly they used the various AWS services. We found that the median number of different services most orgs use was 15.

Security is a top concern for any enterprise to move their applications and workloads to the public cloud. AWS offers a broad selection of native security tools and as our Continuous Intelligence Report noted, AWS customers are using several of these to improve the security of their AWS environment. However, it can be overwhelming to know where to start and how to deploy best practices for detecting security misconfigurations caused by human errors and attacks from external sources.

We are excited to announce the beta release of Sumo Logic’s Archive Intelligence Service, which enables customers to forward logs directly from Sumo Logic’s installed collector to their own, self-managed AWS S3 buckets.

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.

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.

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.

Amazon Redshift is a fully-managed petabyte-scale cloud-based data warehouse service designed for large scale data set storage and analysis. Part of the larger Amazon Web Services (AWS) platform, Redshift is built to handle massive amounts of data for processing, analysis, and migration.

Serverless computing is the latest, greatest thing in the technology world. Although the serverless concept has been around in one form or another for more than a decade, the introduction of serverless platforms from major cloud providers—starting with AWS Lambda in 2014—has brought serverless mainstream for the first time.

In a recent post, we talked about AWS CloudTrail and saw how CloudTrail can capture histories of every API call made to any resource or service in an AWS account. These event logs can be invaluable for auditing, compliance, and governance. We also saw where CloudTrail logs are saved and how they are structured.

As multi-cloud architectures grow in popularity, more and more organizations will start asking how to secure multi-cloud environments. Some will conclude that a multi-cloud architecture requires a fundamentally different approach to cloud security.

Amazon Redshift is a fully-managed petabyte-scale cloud based data warehouse product designed for large scale data set storage and analysis. It is also used to perform large scale database migrations.

Enterprises are increasingly adopting a cloud-first approach and migrating their workloads, data and applications to the Cloud. Amazon Web Services continues to lead the Public Cloud industry with more than 30% of the market. As digital transformation progresses and the digital space expands, so does the attack surface that exposes the ongoing proliferation of security risks.

Learn the basics of AWS CloudTrail, see how to create and enable custom trails, and see where the trail logs are saved.