Operations | Monitoring | ITSM | DevOps | Cloud

In today’s digital economy, the pressure to develop and release new software has become paramount to deliver great customer experiences and create a competitive advantage. Unfortunately, the process by which to deliver this software is increasingly complex and highly fragmented across various tools and teams. While this complexity increases, there is also no easy way to centrally measure, monitor and secure the overall performance of the software delivery pipeline in real-time.

Welcome to the new world, my friends. Now that working from home is our new reality, we've found that many of our customers are taking a much closer look at the technology that binds us all together and allows us to access corporate resources: the humble VPN. In the spirit of enablement, I’ve put together a quick list of dashboards that can help add that extra bit of visibility for our faithful Splunk Enterprise Security customers.

Go has built-in features to make it easier for programmers to implement logging. Third parties have also built additional tools to make logging easier. What's the difference between them? Which should you choose? In this article Ayooluwa Isaiah describes both of these and discusses when you'd prefer one over the other.

It has been a little over 2 months since 1.3.0 was released. We started prepping for the 1.4.0 release several weeks ago; however, when I was writing this very blog post for the release, we discovered some confusing stats from the new statistics objects (which we’ll talk about in a bit). After sorting that out, we played the usual game of, “Wait, don’t release yet!

Logging is vital to the success of any IT project. With solid logging practice, you can troubleshoot errors, find patterns, calculate statistics, and communicate information easily. With the size and complexity of modern systems, performing these actions involves various analysis activities. One of these important analysis activities is anomaly detection. What is anomaly detection, and where does it fit in all of this? That’s what this post is about.

AWS S3 buckets are an indisputably powerful—and extremely well-organized—DevOps tool. Standing for “simple storage service,” the S3 is the lowest tier offered for AWS storage, but it is also the most indispensable. S3 buckets store data for immediate recall, the most active components in Amazon’s arsenal of storage options. They can store a variety of developer applications and up to five terabytes of data each.