In our journeys as developers, we frequently encounter the need for speed and efficiency. But often, integrating development tools can feel like a time-consuming venture, more so than our usual build processes. If you’ve ever found yourself delving into java logs looking for needles in logstacks, you’ll appreciate the beauty of this 1-click OpenTelemetry.
Automation and orchestration present huge opportunities for business efficiency, time optimization, and cost savings. With Nexthink Flow, EUC teams now have the power to orchestrate full end-to-end automations that eliminate repetitive manual work and drive employee productivity. But with so many opportunities at your fingertips, it can be hard to know where to begin. Flow is a powerful orchestration engine, with incredible flexibility designed to fit diverse business needs.
Nexthink’s ability to integrate with anything has long been one of the most popular aspects of our products. From your ITSM tool to Azure AD, Nexthink data can be connected across your environment – so you can act on Nexthink insights to build the best possible digital employee experience. Nexthink Flow continues our dedication to integrations by allowing for the sharing of data and actions in both directions for several key integrations.
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.
“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.
