IoT is slowly, quietly taking over the world. A few years ago, self-ordering fridges, driverless cars, and fully automated homes seemed like the stuff of dreams. And while the technology exists, rollout and adoption is slower than anticipated, amidst security and privacy concerns. That said, IoT is the future, and growth is steady, as the challenges of building and maintaining hundreds of thousands of devices per vendor are getting solved.

I’m excited to announce the launch of a new series of apps on Splunkbase: MLTK Smart Workflows. These apps are domain-specific workflows, built around specific use cases, that can be used to help you develop a set of machine learning models with your data. In this blog post, I’d like to take you through the process we adopted for developing the workflows.

While working with customers over the years, I've noticed a pattern with questions they have around operationalizing machine learning: “How can I use Machine Learning (ML) for threat detection with my data?”, “What are the best practices around model re-training and updates?”, and “Am I going to need to hire a data scientist to support this workflow in my security operations center (SOC)?” Well, we are excited to announce that the SplunkWorks team launched a new add-

Project owners and developers turn to open source APM tools to lessen the cost of application performance monitoring. In this entry, let’s examine the attributes of these open source tools. Years ago, traditional APM solutions were designed for IT only, particularly network operations. The APMs were used to monitor data to ensure the network’s Quality of Service(QoS). However, the landscape has changed.

Machine learning pipelines have evolved tremendously in the past several years. With a wide variety of tools and frameworks out there to simplify building, training, and deployment, the turnaround time on machine learning model development has improved drastically. However, even with all these simplifications, there is still a steep learning curve associated with a lot of these tools. But not with Elastic.