Operations | Monitoring | ITSM | DevOps | Cloud

Today, we announce a revolutionary new product that will put an end to recurring, complex IT issues and deliver continuous engineering with full scale, start-to-finish automation for EUC teams.

How automated are your automations? You (or your expert engineers) are probably spending hours on complicated PowerShell coding – writing, testing, reviewing, signing, and updating. What if there were a better way to coordinate your automations with workflows? Orchestrate multi-layer automated detection, communication, integration, and action.

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). OpenTelemetry lets you export the data it collects to any backend of your choice. In this article, we will discuss some of the top OpenTelemetry tools that are tailored to support OpenTelemetry data, offering valuable insights into the functioning and optimization of applications.

“Why bother with it? I let it run in the background and focus on more important DevOps work.”— a random DevOps Engineer at Reddit r/devops In an era where technology is evolving at breakneck speeds, it's easy to overlook the tools that are right under our noses. One such underutilized powerhouse is the systemd journal. For many, it's a mere tool to check the status of systemd service units or to tail the most recent events (journalctl -f).

In today’s landscape, what’s considered security data has expanded to encompass more diverse data types like network data, behavioral analytics, and application metrics. These sources are now essential for a comprehensive security strategy, and visibility into all that data makes proactive threat detection possible. That said, organizations often struggle to process data from various vendors and merge telemetry sets to gain a complete view of their environments.

This article was originally published on The New Stack and is reposted here with permission. Here is a brief case study that explores the logistics and motivations that would lead a successful company to spend time and resources completely rewriting the core of their flagship product in Rust. Calling a programming language Rust almost seems like a misnomer. Rust is the brittle byproduct of corrosion — not something that would typically inspire confidence.

Time series data is foundational in almost all applications and services. Even if time series isn’t the focus, like in an IoT sensor data centered application, it appears in monitoring data as metrics, logs, and traces. Because of time series data’s unique characteristics, it’s best served in a time series database. InfluxDB is purpose-built to handle the high volume and velocity of time series ingestion, and perform real-time analytics, alerting, and anomaly detection at scale.