Operations | Monitoring | ITSM | DevOps | Cloud

What Is Paper Trading?

In paper trading, you can dip your toes into the world of investing without risking a single penny. It's a type of platform that lets you test your investment strategies, explore the stock market, and learn the ropes of trading without the fear of losing real money. Paper trading offers a safe and risk-free way to hone your trading skills. So, what exactly is paper trading, and how can it benefit you on your investment journey? Learn about paper trading simulator options and their role in making you a smarter investor.

BitHide Explains: How to Work with Crypto Confidentially

Many people still believe that using crypto keeps them anonymous, but the reality is very different. Blockchain is a transparent system that records every transaction along with wallet addresses, metadata, and IP addresses. This information can be used to track your activity - and in some cases, even find your physical location. In this article, the BitHide team explains how blockchain deanonymization happens and what steps you can take to work with cryptocurrencies securely while protecting your privacy and personal safety.

5 Best AI Humanizers to Bypass AI Detection in 2025

AI-generated content has become a staple across industries-from academic writing and journalism to SEO-driven blogging and corporate communications. Yet, this rapid adoption has fueled a rise in AI detection tools like GPTZero, Originality.ai, and Turnitin, all designed to flag machine-written text. To bridge the gap between machine-generated efficiency and human-like authenticity, AI humanizers have emerged as essential tools.

ScienceLogic Named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms

It’s official: ScienceLogic has entered the observability arena. Named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms, we believe we’re helping define where observability is heading, not just where it’s been. This marks our first inclusion in this Magic Quadrant and, in our opinion, validates our mission to redefine intelligent, actionable observability in the era of AI and automation.

Overcoming the common networking challenges when connecting the "big three" clouds

Adopting a multi-cloud strategy is common for many businesses as it promises flexibility in managing their data. However, this isn’t without complexity especially when it comes to networking. In a recent podcast episode, Trent Blakely and Jay Turner unpacked some of the most frequently missed challenges that come with multi-cloud deployments.

IT Task Automation: Best Practices and Use Cases for IT Management with Pandora FMS

IT teams must handle a large number of tasks on a daily basis. Many of these tasks, while essential, are repetitive: resetting passwords, rebooting servers, monitoring logs for errors, applying patches… When performed manually, they can overwhelm technical staff and compromise operational efficiency. IT automation has emerged as the answer to this challenge. It involves using scripts and specialized tools to automatically execute these and other tasks that previously required human intervention.

Kubernetes Monitoring backend 2.2: better cluster observability through new alert and recording rules

We’re excited to announce version 2.2.0 of the backend for our Kubernetes Monitoring solution in Grafana Cloud is now available. The app’s backend is supported by kubernetes-mixin, an open source Prometheus Monitoring Mixin, and this latest version features significant improvements to alert rules and recording rules that will enhance your cluster observability and monitoring experience. There’s a lot to tell you about, so let’s dive in.

A look back at DASH 2025

DASH 2025 brought the Datadog community together like never before. During our biggest event yet, thousands of attendees gathered at the North Javits Center in New York City for two and a half days of content, learning, and community, where they deepened their knowledge and connected with peers. Here's a quick look back at some of the highlights from this year's DASH.

Proactively troubleshoot with synthetic testing and distributed tracing

As your application grows in complexity, identifying the root cause of issues becomes increasingly difficult. Many monitoring strategies make this even harder by siloing frontend and backend data. To effectively troubleshoot problems that spread across your app, you need visibility not just into each part of your stack, but also into how these parts interact.