The Internet of Things (IoT) can be found in a diverse range of devices, including fleets of autonomous vehicles, automobiles, planes, electric charging stations, and voice controllers. These devices are embedded with gateways, electronics, actuators, platform hubs, and cloud-service connectivity, enabling them to exchange data across the physical, network, and application layers that constitute IoT architecture.

We find ourselves submerged in a sea of software applications practically all the time. Their primary job is to make life easier and help us accomplish certain tasks. However, these applications require a lot of data. What’s more, their development requires a systematic approach with proper management of that data — and its related activities. But that’s not a straightforward and simple process. What happens if these applications stop running?

Earlier this month, we shared exciting news with our first placement in the 2022 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability: we are in the Visionary Quadrant. This research is near to my heart, as I led this research for four years; so, I wanted to reflect on why this is an accurate placement for Logz.io. The Visionary Quadrant is designated for those organizations who are pushing the boundaries of a specific market and technology.

Want to improve your outlook with a splash of RUM? In our pursuit of connecting users to the right data at the right time, we’ve come to see Real User Monitoring as an invaluable tool for understanding the total picture when it comes to your web properties, apps, and cloud footprint. Do you find yourself asking any of these questions?

In Splunk Cloud Platform 8.2.2203, we're continuing to expand on interactivity capabilities and visualizations for Dashboard Studio. We've added the ability to use search results and job metadata as tokens, and pass tokens through drilldowns to other dashboards. There is a new map visualization for cluster maps and UI to match strings for dynamic coloring. And finally, we've included the ability to set a Studio dashboard as your home dashboard.

Grafana is an open source tool for people with many different perspectives and various skill levels. Many initiatives to improve the Grafana user experience start by thinking about someone who’s just getting started on their observability journey. However, late last year, a Grafana Labs hackathon team looked to improve the user experience for our power users by introducing a command palette to Grafana.

Debugging application performance in Azure AppService is something that’s quite difficult using Azure’s built-in services (like Application Insights). Among some of the issues are visualizations, and the time it takes to be able to query data. In this post, we’ll walk through the steps to ingest HTTP Access Logs from Azure AppService into Honeycomb to provide for near real-time analysis Access Logs.

Besides keeping IT and business systems humming, IT operations teams are tasked with driving digital transformation initiatives and supporting innovation within their organizations.

A time series is a sequence of data points (observations) arranged chronologically and spaced equally in time. Some notable examples of time series data are stock prices, a record of annual rainfall, or the number of customers using a bike sharing app daily. Time series data exhibits certain patterns, such as the highs and lows of hotel prices depending on season.

It’s common for most CISOs to lead off a security conversation by comparing what other companies in the industry are spending on cybersecurity and simply matching that. After all, regardless of the results, the CISO can always tell the board of directors they’re following industry guidelines around security budgets. The problem is security outcomes are bad regardless of budgets. It’s not what you spend. It’s the results you get that matter.