Consider for a moment which fundamental pieces of technology enable the modern web. Odds are, you’re thinking about things like Javascript and HTTP—and yes, they are fundamental parts of the modern web. But, the often-overlooked component of this ecosystem that has truly enabled the web to scale to billions of users and transactions is load balancers.

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.

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.

Today, we are facing an unprecedented situation. The COVID-19 pandemic is affecting everything we know -- our families, our businesses, our communities, and our way of life. In these tough times, many organizations have resorted to mandatory remote working for employees so they can still be productive and safe. Saas productivity tools like Zoom, Slack, G-Suite and Office 365 became seemingly mandatory in this new distributed workplace.

Alcide recently introduced Alcide kAudit, an automatic tool for analyzing Kubernetes Audit logs. This tool focuses on detecting non-compliant and anomalous behavior of users, automated service accounts and suspicious administration operations. Alcide’s recent integration with Sumo Logic enables users to gain full access to insights and real-time alerts from Alcide kAudit.

In part one, we introduced the duality of observability, controllability. As a reminder, observability is the ability to infer the internal state of a "machine” from externally exposed signals. Controllability is the ability to control input to direct the internal state to the desired outcome. So observability is a loop problem. And we need to stop treating it as the end state of our challenge in delivering performant, quality experiences to our users and customers.

The waves of change are certainly upon us and businesses are being forced to adapt at a record pace. Current world events have caused a jarring shift in all aspects of our lives, accelerating major changes in how we live and work. An unprecedented number of people are now working from home. Those of us working in IT Operations are no exception. Many companies are implementing a Distributed IT Operations Center (D-NOC) approach to address this new reality.

Docker is an essential bridge in modern DevOps. Despite Kubernetes overtaking Docker on orchestrating containers, the Docker container itself remains the standard and likely will for the foreseeable future. We developed the Docker Metrics collector to operate as its own container that will run Metricbeat using the modules you are running in real time. Now, in addition to the Docker module, we are now releasing an AWS module for operations in the cloud.