Operations | Monitoring | ITSM | DevOps | Cloud

“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.

In the realm of hospitals and healthcare organizations, the term “HCAHPS survey” is a recurrent presence: Hospital Administrator A: “The latest HCAHPS survey results just came out, and patients seem satisfied with…” Hospital Administrator B: “Some of our past patients participated in the HCAHPS survey, but they expressed disappointment with…” You might be left wondering, “What exactly is the HCAHPS survey?” Allow me to elucidate.

Over the last several months, AI has been everywhere in the technology space and far beyond. Since it directly affects the tech ecosystem, however, it’s no surprise that developers have harnessed artificial intelligence to create tools that boost productivity and enhance workflows. Artificial intelligence is essentially a computer’s ability to perform tasks at the same level (and often beyond) as intelligent beings.

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.