Master Linux Commands, Zimbra Mail, and Bash Scripts: A Comprehensive Guide

Prometheus 3.15.0 can scrape a target over a Unix domain socket. Set the special label __unix_socket__ to the socket path, either in static_configs labels or with relabel_configs , and Prometheus connects to that file instead of a host and port. A Prometheus Unix socket scrape lets you monitor an exporter that has no TCP port at all. Older versions accept the same config file without error but ignore the label and try to resolve the target name with DNS. Every Prometheus Unix socket example below was tested on 2026-10-19 with the official images prom/prometheus:v3.15.0 and v3.13.4 , node_exporter v1.12.1 and socat 1.8.0.3 in rootless podman containers. All output is copied from the lab. Contents What changed in Prometheus 3.15.0 Prometheus Unix socket lab: an exporter without a network Prometheus Unix socket scrape with static_configs Same file on Prometheus 3.13.4 Many sockets with file_sd and relabel_configs Expose your own app metrics on a Unix socket Prometheus Unix socket e...

Docker Mailserver (the docker-mailserver project, DMS) is a complete mail server in one container: Postfix for SMTP, Dovecot for IMAP, OpenDKIM, Amavis and optional spam and virus filters, configured through one environment file and a setup command. This guide sets up Docker Mailserver 16.0.1 with the project's own compose.yaml , creates accounts and an alias, sends and reads real mail, and generates DKIM keys. Every output below comes from a test run on 17 October 2026 (podman 5.8 with podman-compose on a Fedora host as the engine; the docker commands are identical), including five errors you are likely to meet. curl -sO https://raw.githubusercontent.com/docker-mailserver/docker-mailserver/v16.0.1/compose.yaml curl -sO https://raw.githubusercontent.com/docker-mailserver/docker-mailserver/v16.0.1/mailserver.env docker compose up -d docker exec -it mailserver setup email add admin@example.com # within 120 s of the first start docker exec mailserver setup config dkim ...

7 Ways AI Cyber Attacks Are Forcing a Security Strategy Shift The landscape of cybersecurity is evolving rapidly, driven by the increasing sophistication of AI cyber attacks. As organizations adapt to these threats, it's crucial to understand how AI is reshaping security strategies. Here, I’ll delve into seven critical adaptations that security teams must consider to stay ahead of AI-driven vulnerabilities. Understanding AI Cyber Attacks AI cyber attacks leverage machine learning algorithms to automate and enhance the efficiency of traditional attack vectors. These attacks can analyze vast amounts of data, identify vulnerabilities, and execute attacks with unprecedented speed and precision. The implications are profound, necessitating a shift in how we approach security. 1. Enhanced Threat Detection Traditional security systems often rely on signature-based detection methods, which can be ineffective against novel threats. AI-driven systems, however, utilize anomaly detection...

8 Essential Controls to Secure RMM Software for MSPs Remote Monitoring and Management (RMM) software is a critical tool for Managed Service Providers (MSPs). However, its capabilities also make it a prime target for cyber threats. In this post, I’ll delve into eight essential controls that MSPs should implement to secure their RMM software effectively. Understanding the Threat Landscape RMM tools provide extensive access to client systems, making them attractive to attackers. A breach can lead to unauthorized access, data theft, and even ransomware attacks. According to a BleepingComputer RMM security guide , securing these tools is not just about technology; it’s about establishing a robust security posture. 1. Implement Multi-Factor Authentication (MFA) MFA adds an additional layer of security by requiring users to provide two or more verification factors to gain access. This significantly reduces the risk of unauthorized access. Code Example: Enabling MFA in RMM Software # E...

Linux Kernel Flaw: 5 Alarming ARM64 KVM Risks The recent discovery of a Linux Kernel flaw that allows ARM64 KVM guests to gain read-write access to host memory is alarming. This vulnerability poses significant risks to cloud infrastructure and virtualized environments. In this post, I will dissect the implications of this flaw, explore its mechanisms, and provide actionable mitigation strategies. Understanding the Vulnerability The vulnerability stems from improper handling of memory access permissions within the ARM64 architecture's KVM (Kernel-based Virtual Machine) subsystem. When a guest VM is able to manipulate host memory, it can lead to unauthorized data access, potential data corruption, and even complete host compromise. Mechanism of the Flaw The flaw exploits the way KVM manages memory mappings. Specifically, it allows a guest VM to bypass the intended isolation between guest and host memory. This is particularly critical in multi-tenant environments where different...

Massive 50% Cheaper OpenAI GPT 6 Sol Luna API Pricing OpenAI's recent announcement regarding the GPT-6 Sol and Luna API pricing has sent ripples through the AI community. With a staggering 50% reduction in costs, this new pricing model not only makes advanced AI more accessible but also raises questions about its architectural implications and performance benchmarks. In this post, I’ll delve into the technical aspects of this release, exploring how these changes could impact your AI-driven applications. Understanding the Pricing Model OpenAI's shift to a more affordable pricing structure is a strategic move aimed at democratizing access to AI technology. The Sol and Luna APIs are designed to cater to different use cases, allowing developers to choose the most suitable option based on their requirements. Pricing Breakdown The new pricing model is structured as follows: Sol API : Optimized for speed and efficiency, ideal for real-time applications. Luna API : Focused on ...

7 Powerful TypeSafe AI Jev Coding Tips In the evolving landscape of AI, leveraging TypeSafe AI Jev can significantly enhance model reliability and performance. I’ve spent considerable time experimenting with this framework, and I’m excited to share seven powerful coding tips that can elevate your AI projects. These insights are drawn from real-world applications, focusing on typed decisions, calibrated confidence, and speculative fan-out with a System One model. Embrace Strong Typing for Decision-Making Strong typing is not just a safety net; it’s a powerful tool for decision-making in AI. By enforcing type constraints, we can reduce runtime errors and improve code clarity. Here’s a simple example in TypeScript: type Decision = 'approve' | 'reject'; function makeDecision(decision: Decision): void { if (decision === 'approve') { console.log('Decision approved.'); } else { console.log('Decision rejected.'); } } Br...

7 Proven Steps to Build a SASE Framework In the rapidly evolving landscape of cybersecurity, the Secure Access Service Edge (SASE) framework has emerged as a game-changer. It integrates networking and security into a unified cloud service, providing organizations with the agility and protection they need. Having implemented SASE in various environments, I’ve distilled the process into seven proven steps that can guide you through building a robust SASE framework. Understanding the SASE Framework Before diving into the steps, let’s clarify what SASE entails. SASE combines several critical components: Software-Defined Wide Area Networking (SD-WAN), Zero Trust Network Access (ZTNA), secure web gateways, and cloud access security brokers (CASB). This convergence allows for seamless security and networking capabilities, ensuring that users can access applications securely from anywhere. Step 1: Assess Your Current Infrastructure The first step in building a SASE framework is to conduc...

NVIDIA OSMO: 5 Powerful Ways One YAML Transforms AI In the realm of AI, orchestration is key. The introduction of NVIDIA OSMO has revolutionized how we manage AI training, simulation, and robot testing. This powerful tool leverages a single YAML file to streamline complex workflows, making it a game-changer for engineers and developers alike. Here, I’ll delve into five powerful ways NVIDIA OSMO transforms AI processes, backed by real-world insights and architectural considerations. 1. Unified Configuration Management At the heart of NVIDIA OSMO lies its YAML configuration, which serves as a single source of truth for orchestrating various components. This unification simplifies the management of dependencies and configurations across different environments. YAML Breakdown osmo: version: "1.0" components: - name: "robot_simulator" type: "simulation" parameters: physics_engine: "physx" resolution: "hig...