With everything going on in the world, it seems like a lifetime ago that we started talking about the Splunk Operator for Kubernetes, which enables customers to easily deploy, scale, and manage Splunk Enterprise on their choice of cloud environment. During that time, we’ve heard from an increasing number of on-premise and public cloud Bring-Your-Own-License Splunk customers that containerization and Kubernetes are an important part of their current and future deployment plans.

To immediately see how to find potential vulnerabilities or exploits in your Pulse Connect Secure appliance, skip down to the "Identifying, Monitoring and Hunting with Splunk" section. Otherwise, read on for a quick breakdown of what happened, how to detect it, and MITRE ATT&CK mappings.

It’s more critical than ever to secure your company data and protect your workloads in the cloud. This blog post is a roundup of the latest technical resources and product capabilities by both Google Cloud and Splunk to enhance your threat prevention, detection, and response techniques, regardless of where you are in your business-transforming cloud journey.

It’s April, and that means it’s Mathematics and Statistic Awareness month. And in our everyday world of monitoring and observability, both play an ever-increasing role in how we keep track of our environments, both our apps and our infrastructure. Our world is no longer about just pinging the server/app to make sure “It’s alive!”.

The Splunk Attack Range project has officially reached the v1.0 release. By achieving this milestone, we wanted to reflect on how we got here, what features we’ve built for v1.0 and what the future looks like for Splunk Attack Range. What is the Splunk Attack Range? 🧐

On our cloud-native journey, we live in a containerized world. Our environments are containers, managed by orchestrators, and living on some level of computing clusters. Of course, that means you are also responsible for managing all those bits, right?

In our last blog, we introduced OpenTelemetry Python v1.0.0 and walked you through instrumenting a Python application and install both the OpenTelemetry API and SDK.

Large amounts of data no longer reside within siloed applications. A global workforce, combined with the growing need for data, is driving an increasingly distributed and complex attack surface that needs to be protected. Sophisticated cyberattacks can easily hide inside this data-centric world, making traditional perimeter-only security models obsolete.

For teams that build or maintain modern applications with their end-users in mind, the acquisition of Rigor means that Splunk now offers the most comprehensive synthetic monitoring solution on the market. Rigor, now Splunk Synthetic Monitoring and Web Optimization, provides best-in-class synthetic monitoring capabilities enabling IT Ops and engineering teams to detect and respond to uptime and performance issues within incident response coordination and throughout software development lifecycles.

It is said that necessity is the mother of invention, but from necessity also comes innovation. If history has taught us anything, it’s that some of the biggest and best business transformations have arisen from tough times. Over the last year, unsurprisingly one area that has seen a tremendous upheaval is the idea of work and how businesses engage with their workforce.