localhost Archives

BetaBeacon

September 3, 2026

Building Tetris on Android With One Prompt and No Laptop

An AI coding agent called Gotcha can generate games and tools on Android phones by writing real code and running a local server. It can create games like Tetris and a 3D Angry Birds clone with features such as touch controls, score displays, and sound effects. Gotcha can also fix bugs in the game logic based on vague feedback. The autonomy and local capabilities of Gotcha make it a unique tool for developers, allowing for quick iteration and precise bug reporting.

Tech Optimizer

September 2, 2026

Connecting My LangGraph AI Agent to Postgres

A stateful LangGraph agent was developed to streamline a 15-minute booking process, mimicking a customer service representative. It features a user-friendly Streamlit UI and a backend powered by a Postgres database. The agent can respond to customer queries, calculate service prices, manage acceptance or rejection of services, propose appointment time slots, and confirm booking details. The agent operates in two persistence modes: in-memory for quick testing and Postgres for durability. Testing can be conducted locally with Streamlit or using Docker to simulate a production environment. Docker allows the application to interact with a PostgreSQL server without local installation, enhancing reproducibility. The project includes a docker-compose.yml file to initiate a PostgreSQL container, and users can also utilize a cloud-based Postgres solution. The application behavior remains consistent regardless of the database setup. The complete source code is available on GitHub for testing and further enhancements.

Tech Optimizer

September 1, 2026

Connecting My LangGraph AI Agent to Postgres

A stateful LangGraph agent was developed to streamline a 15-minute booking process, featuring a user-friendly Streamlit UI and a backend powered by a Postgres database. The agent responds to customer queries, calculates service pricing, manages service acceptance, suggests time slots, and confirms appointment details. It operates in two modes: in-memory for rapid testing and Postgres for persistent storage. Testing can be done locally using Docker, which simulates a Postgres environment, or with a hosted Postgres instance. The project includes a docker-compose.yml file to initiate a PostgreSQL 16 container, allowing the application to connect to the database. Data persistence is ensured through Docker volumes, and the application can be run with specific commands after setting up the environment variables. The system has been tested successfully, demonstrating its ability to manage bookings and maintain data integrity across sessions. Future enhancements are planned to improve the booking workflow and integrate additional communication channels.

Tech Optimizer

August 26, 2026

How to Protect Against Ransomware: 13 Steps [2026]

Global ransomware attacks increased by 0.8% quarter-over-quarter in Q2 2026. The group Qilin has 279 confirmed victims, maintaining its position as the leading threat actor for four consecutive quarters. The rival group The Gentlemen saw a 62% increase in victims, reaching 269. Checkpoint Research's report indicates a shift in the ransomware landscape, challenging the narrative of declining attacks. IBM's analysis shows breaches within supply chains and third-party vendors have quadrupled over the past five years. Effective ransomware protection requires administrative access to endpoints, firewalls, and backup systems, along with specific software versions and tools. The 3-2-1-1-0 backup strategy is recommended, emphasizing offline, immutable backups. Organizations should implement multi-factor authentication (MFA) across all access points and actively patch known vulnerabilities. Network segmentation is crucial to limit ransomware spread, and canary files can provide early warnings of attacks. Regular phishing simulations and a well-documented incident response plan are essential for preparedness.

Tech Optimizer

August 25, 2026

Migrate Vaultwarden to PostgreSQL: Scale for Teams [2026]

Self-hosting Vaultwarden with SQLite can lead to performance issues as the user base grows, particularly due to SQLite's limitations with concurrent writes. Transitioning to PostgreSQL allows for better performance, multi-user support, and enhanced data durability. PostgreSQL supports concurrent connections and row-level locking, making it more suitable for team environments. To migrate from SQLite to PostgreSQL, certain prerequisites must be met, including having an existing Vaultwarden deployment, Docker Engine, a PostgreSQL server, and pgloader installed. The migration process involves backing up existing data, deploying a PostgreSQL container, updating configuration files, and using pgloader to transfer data. A VPS with 2 vCPU and 4GB RAM can support up to 50 users, with larger teams requiring more resources. PostgreSQL also allows for the creation of organizations for shared vault access and the configuration of group policies for security. Regular backups and performance tuning are necessary to maintain optimal operation. Common pitfalls during migration include not stopping the Vaultwarden container before migration, failing to encode special characters in the database password, and neglecting to back up data. Troubleshooting may involve checking connection strings and ensuring the PostgreSQL container is healthy. Advanced configurations can enhance performance and functionality, and understanding the differences between Vaultwarden and Bitwarden's official self-hosted server can aid in decision-making.

Tech Optimizer

June 13, 2026

Why Use App-Level Auth When Every Database Has Auth? (Splunk Enterprise CVE-2026-20253 Pre-Auth RCE)

On June 10th, Splunk released an advisory for CVE-2026-20253, a high-severity vulnerability with a CVSS score of 9.8 that requires no authentication. The vulnerability is associated with the PostgreSQL Sidecar Service Endpoint and affects Splunk Enterprise versions 10 and above. In default installations, the service is not installed on Windows but is installed and enabled by default on AWS. The vulnerability allows unauthorized users to create and truncate arbitrary files through an API that lacks authentication controls. Additionally, it enables the execution of SQL commands via a backup and restore mechanism, potentially leading to remote code execution (RCE). A Detection Artefact Generator has been developed to help organizations assess their vulnerability to this issue.

Tech Optimizer

June 6, 2026

PostgreSQL Dump and Restore: The Complete pg_dump Guide

pg_dump is a utility for exporting a PostgreSQL database into a file, which can be restored on the same or different servers. It exports a single database's tables, views, sequences, functions, indexes, triggers, and in-database grants but does not include roles, tablespaces, or server-level configurations. To capture global objects, pg_dumpall --globals-only should be executed prior to the per-database dump. pg_dump requires CONNECT and SELECT privileges on all tables and sequences within the target database, and a dedicated backup role is sufficient for single-database dumps, while superuser access is needed for global objects. pg_dump supports various output formats: plain SQL (.sql), custom binary (.dump), directory of files, and tar archive (.tar), each with different capabilities for restoration and compression. The custom format allows for selective and parallel restoration. For non-interactive use, credentials can be stored in a .pgpass file or passed via the PGPASSWORD environment variable. Restoration methods depend on the dump format: psql is used for plain SQL files, while pg_restore is used for custom and directory formats. The restoration process requires the target database to be created beforehand. Version mismatches between pg_dump and pg_restore can lead to failures, so it's essential to ensure that the binaries are version-matched. In Docker, pg_dump and pg_restore can be executed within containers, but care must be taken to manage credentials and ensure version compatibility. Exit codes from pg_dump should be checked to confirm successful operations.

Tech Optimizer

May 25, 2026

How to create a Metabase dashboard with Docker

Creating a self-hosted analytics dashboard using Metabase and Docker involves deploying the Metabase container, which integrates with PostgreSQL for data storage. The prerequisites include a server or local machine with Docker, terminal access, an available port (typically 3000), a PostgreSQL database, and connection details for the business database. The installation steps are as follows: 1. Pull the Metabase Docker image using `docker pull metabase/metabase:latest`. 2. Run the Metabase container with `docker run -d -p 3000:3000 --name metabase metabase/metabase`. 3. Verify the container operation using `docker ps` and check logs with `docker logs -f metabase`. 4. Access the Metabase setup wizard at `http://localhost:3000` or `http://your-server-ip:3000`. 5. Manage the Metabase container using `docker stop metabase`, `docker start metabase`, and `docker restart metabase`. For a production setup, it is recommended to integrate PostgreSQL for persistent storage. Steps include creating a project directory, a Docker Compose file, launching both Metabase and PostgreSQL containers, monitoring logs, accessing Metabase, managing the deployment with Docker Compose commands, and updating Metabase by pulling the latest image. To create a business intelligence dashboard, connect your business data source by selecting the database type and entering connection details. Create questions using the visual query builder or SQL, choose suitable visualizations, compile saved questions into dashboards, add filters for interactivity, and share the dashboard with stakeholders while managing permissions.

TrendTechie

April 27, 2026

Домашний Netflix за вечер: Transmission + Jellyfin + Telegram-бот на Docker с поддержкой NAS

The setup involves a Keenetic router with a 2TB USB drive, functioning as a NAS for network storage. It utilizes three Docker containers: Transmission with Flood UI for torrent management, Jellyfin as a media server, and a Telegram bot for adding torrents and receiving notifications. The process allows users to send .torrent files via Telegram, which are then downloaded and made available in Jellyfin for viewing on various devices. The configuration requires Docker, a NAS or router with SMB share, and a Telegram account. The system is designed to maintain data integrity through OS reinstalls, and it can be set up quickly using a provided repository and configuration files.

Winsage

March 31, 2026

Microsoft to upgrade Windows Subsystem for Linux (WSL) with faster file access, better networking and easier setup

Microsoft plans to enhance the Windows Subsystem for Linux (WSL) in 2026, focusing on several key improvements for developers. These enhancements include: - Faster file performance between Linux and Windows to address current latency issues. - Improved network compatibility and throughput for better communication between environments. - A streamlined setup and onboarding experience to simplify installation for newcomers. - Enhanced enterprise management and security features to improve control and safety in corporate settings.