Understanding Alternate Data Streams (ADS) within file systems, particularly within the NTFS framework on Windows operating systems, is crucial for IT security professionals, software developers, digital forensic analysts, and anyone interested in data security. This article aims to provide a comprehensive overview of ADS, exploring their technical aspects, legitimate uses, and security implications.

Workflow management lets IT departments streamline processes, enhance efficiency, and reduce errors. By automating repetitive IT tasks, your IT team can focus on more strategic activities, ultimately driving innovation and improving service delivery. Here’s how to get started.

Remind yourself of the worst incident your organization has faced. If you’re lucky it might have been your entire service being offline for a period of time. Less lucky, and perhaps you encountered something affecting the sensitive data your organization is the custodian of. Whilst uncommon, incidents of this severity happen to every organization at some point. This criticality of situation is what many refer to as a Sev0, the most severe of incidents.

Logging is essential in Node.js for tracking errors, monitoring performance, and debugging issues. Traditional node.js logging methods, like using console.log(), are often insufficient due to unstructured, cluttered logs that are hard to read. They lack features like log levels, proper formatting, and efficient storage management. Best practices for logging ensure logs are useful, structured, and manageable. Implementing these best practices is crucial for several reasons.

In today's tutorial, we're diving into the world of container orchestration by setting up a Docker Swarm on AWS EC2 instances. Docker Swarm allows you to manage a cluster of Docker hosts as a single virtual system, making it easier to deploy and scale your containerized applications. By leveraging the power of AWS EC2, we'll walk through each step to get your Swarm up and running smoothly.

Managed Service Providers (MSPs) are the backbone for many businesses, ensuring that IT systems run smoothly and efficiently. They offer a cost-effective alternative to building an in-house tech team, often allowing companies to leverage cutting edge expertise without the significant expense and responsibility associated with expanding headcount.

In the rapidly evolving landscape of cybersecurity, AI-powered attackers are becoming increasingly sophisticated. To counter these threats, organizations must adopt advanced security technologies that leverage AI technology as part of a multi-layered approach to security.

In 2020, we introduced the Snowflake Enterprise data source plugin for Grafana, allowing users to seamlessly pull data from the Snowflake cloud-based data storage and analytics service into Grafana dashboards. Available for Grafana Enterprise and Grafana Cloud users, it’s a powerful way to not only query and visualize Snowlake data, but to do so alongside other data sources, so you can discover correlations and other meaningful insights within minutes.

Whether they help you tap into external data sources or add a new visualization type to your dashboard, plugins are a powerful way to customize and extend the value of Grafana. There’s a rich (and constantly evolving) ecosystem of Grafana plugins you can choose from today. While some of these plugins are created and maintained by the Grafana Labs team, many of them are contributed by our commercial partners and community members.

Monitoring can get expensive due to the huge quantities of data that need to be processed. In this blog post, you’ll learn the best ways to store and process monitoring metrics to reduce your costs, and how VictoriaMetrics can help. This blog post will only cover open-source solutions. VictoriaMetrics is proudly open source. You’ll get the most out of this blog post if you are familiar with Prometheus, Thanos, Mimir or VictoriaMetrics.