Resource Center

If you are reading this, I don’t have to convince you any further of the powerful intelligence we can derive from logs and machine data. If you are anything like the many, many users, customers and prospects we have been talking to over the years, you might, however, have some level of that pesky modern condition commonly known as volume anxiety.

The last fifteen years have seen huge increases in developer productivity for several reasons, including the arrival of open source into the mainstream and the ability to better emulate target environments. In addition, the process of resetting a development environment back to the last known stable version has been vastly improved by Vagrant and then Docker.

Today's IT and DevOps teams have not one, but two, feature-rich open source Web servers to choose from: NGINX and Apache HTTP Server (which is often called simply "Apache"). At a high level, both platforms do the same core thing: Host and serve Web content. Both also offer comparable levels of performance and security.

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.

An overview of how to collect Cloud Run container logs and metrics, and send them to Sumo Logic for monitoring and troubleshooting.

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.

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.

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.

“Kubernetes vs. Docker” is a phrase that you hear more and more these days as Kubernetes becomes ever more popular as a container orchestration solution.