database Archives

Winsage

September 4, 2026

These 5 Linux distros promise to run Windows apps—I tried them all, and one was clearly the best

One of the main challenges for users transitioning from Windows to Linux is software compatibility. Linux has many applications, but users often depend on specific Windows programs. Wine and its frontends allow Windows applications to run on Linux without a virtual machine, although the ease of use varies by distribution. Zorin OS integrates Windows application support directly into its desktop experience, allowing users to install .exe and .msi files easily through its Windows App Support component. It provides a familiar workflow and recommends the best usage options for popular Windows installers. Winux (Wubuntu) aims to create a Linux environment that resembles Windows, making it easier for users to adapt. However, running Windows software can be challenging due to compatibility issues with proprietary components. Bazzite focuses on gaming, offering excellent compatibility for Windows games through Wine-based tools, but may not be ideal for users seeking to run standard Windows applications. Nobara Project, based on Fedora, enhances gaming experiences and simplifies configuration for gaming on Linux, but is not primarily designed for running Windows productivity applications. Garuda Linux caters to experienced users and gamers, leveraging Wine and Proton for compatibility but may be complex for those simply wanting to install Windows applications. Zorin OS is identified as the best choice for users needing to run Windows applications on Linux, providing a manageable transition while maintaining a familiar aesthetic.

Tech Optimizer

September 3, 2026

Avast Antivirus Zero-Day PoC Lets Attackers Dump SAM Database and Gain SYSTEM Shell

A public proof-of-concept (PoC) repository has revealed a local privilege escalation zero-day vulnerability in GenDigital's Avast Antivirus, allowing attackers with local execution access to extract the Windows Security Account Manager (SAM) database and execute a shell with NT AUTHORITYSYSTEM privileges. The flaw is located in the Avast Sandbox component and could enable a complete local takeover of the system. The PoC is compatible with any version of Avast Antivirus and has been tested on fully patched versions of Avast and Windows 11 25H2. The repository does not provide a formal release, CVE identifier, or patch details. The vulnerability may also affect other GenDigital products like AVG and Norton. Security teams are advised to monitor for suspicious activities related to Avast services and restrict local administrator access. Organizations should inventory their deployed versions and apply vendor-provided updates as they become available.

Tech Optimizer

September 3, 2026

Prolific Microsoft 0-day hunter drops CrowdStrike Falcon exploit PoC

Nightmare Eclipse, a security researcher known for identifying vulnerabilities in Microsoft products, has shifted focus to other vendors, revealing a zero-day vulnerability called FalconFlank that targets CrowdStrike’s Falcon endpoint security platform. FalconFlank is a privilege escalation vulnerability that exploits the Microsoft Office malicious macros remediation feature within CrowdStrike Falcon. CrowdStrike is investigating the claims and advises customers to disable the Microsoft Office File Suspicious Macro Removal Windows policy setting while assuring them of continued protection through Cloud Anti-malware settings. The exploit works on fully updated Windows 11 25H2 and Windows Server 2025 systems running CrowdStrike Falcon with Optimal Protection enabled. Nightmare Eclipse has also discovered other vulnerabilities, including HardBreacher affecting Kaspersky’s endpoint antivirus and PrettyPrague in Gen Digital’s Avast antivirus, which allows attackers to dump the SAM database. Gen Digital is developing a patch for the Avast vulnerability, while Kaspersky has not commented. Additionally, Nightmare disclosed a memory corruption zero-day vulnerability in Nvidia, named GreenSection, which causes system crashes.

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

September 1, 2026

Autoscaling Lakebase Postgres

Choosing a database instance size without prior knowledge of the workload can lead to inefficiencies and excessive compute usage. Lakebase Postgres addresses this with an autoscaling feature that eliminates manual sizing, utilizing in-place VM resizing and a monitoring algorithm for CPU, memory, and working set size. Lakebase Postgres separates compute and storage layers, allowing independent resizing of compute nodes without affecting the database. The autoscaling algorithm relies on three signals: CPU load (cpuGoalCU), memory use (memGoalCU), and compute-cache working set size (lfcGoalCU). The CPU load is monitored every five seconds, aiming to maintain it at or below 90% capacity. Memory usage is tracked at two frequencies: overall memory every five seconds and Postgres-specific memory every 100 milliseconds, with a goal to keep usage below 75% of allocated RAM. The compute cache evaluates active data access efficiency, adjusting size based on workload. The working set is estimated using a modified HyperLogLog algorithm that records timestamps for page accesses, allowing for distinct page estimates over various time frames. The algorithm projects future working-set growth to allocate sufficient cache while capping it at 75% of RAM. Resizing the compute involves four components: the autoscaler-agent, vm-monitor, Kubernetes scheduler, and NeonVM. Scaling up occurs when any of the three goals indicate a need for more resources, while scaling down includes verification to ensure sufficient memory remains for operations. Timely adjustments in both directions are prioritized to minimize costs.

Tech Optimizer

August 29, 2026

Overcoming the Barriers of Commercial DBs with Open Source and AI… EDB Hosts ‘PostgreSQL AI Summit’

A company's approach to artificial intelligence (AI) begins with determining the optimal structure for data storage and management, often facing challenges such as high costs of commercial databases and reliance on specific enterprise technologies. To effectively utilize AI, companies need to establish new infrastructures, including vector search capabilities, Search Augmentation Generative (RAG) systems, and data lakehouses. EDB is notable for connecting companies and technology partners that have transitioned to open-source databases. On September 3, EDB will host the 'EDB Postgres AI Summit Seoul 2026' at the Sofitel Ambassador Seoul, starting at 10:00 AM. This event is the largest PostgreSQL conference in Korea, themed 'Change the Game,' focusing on the shift from commercial databases to open-source and AI-driven frameworks, featuring real-world case studies. Approximately 300 C-level executives and IT decision-makers from various sectors are expected to attend, with participation by invitation only. The summit will include 15 sessions with customer case studies and technical presentations. Notable discussions will include IBK Industrial Bank of Korea's migration of 15 core systems to PostgreSQL, a semiconductor company's diversification of MPP databases on a DBaaS platform, and Kyobo Book Centre's database modernization strategy. Shopcast will present its development of an 'Agentic Lakehouse' integrating AI technology with a data lakehouse framework. The keynote address will be given by Kim Deok-joong, discussing organizational management strategies for integrating AI agents. The technical sessions will cover the architecture of the 'EDB Postgres AI' platform, which supports AI vector search and RAG, with live demonstrations of the analytics engine ClickHouse and LakeHouse technology for analyzing petabyte-scale data. EDB's domestic distributors and international partners will participate as sponsors. The summit aims to showcase technologies and case studies from the domestic ecosystem, addressing PostgreSQL adoption, system migration, operations, data analysis, and AI implementation. EDB manages transaction, analytics, and AI workloads using Postgres in cloud environments, serving over 1,500 global customers. Herve Timsit, EDB's Chief Revenue Officer, emphasized the event's focus on sharing tangible results and addressing the challenges of commercial databases while investing in AI infrastructure.

Tech Optimizer

August 29, 2026

Databricks Unveils Lakebase Postgres

Lakebase Postgres features a two-layer architecture that separates operations for durability and scalability. The compute layer uses standard Postgres for SQL parsing, query planning, and execution, designed to be ephemeral for dynamic scaling. The storage layer ensures correctness, durability, and historical accuracy, consisting of three components: Safekeepers replicate Write-Ahead Logging (WAL) records using a quorum-based protocol; Pageserver transforms WAL records into page versions; and Object Storage retains materialized versions and historical states in an immutable format. This architecture enhances data durability and system scalability.

AppWizard

August 26, 2026

GBA Emulator Android: My Boy! vs John GBAC vs RetroArch

Game Boy Advance emulation on Android has gained significant traction in 2026, with key applications like My Boy! priced at .99, John GBAC receiving an update on May 19, 2026, and RetroArch enhancing its mGBA core for free use. The search term "gba emulator android" sees around 8,100 monthly searches in the U.S., reflecting a resurgence in interest, particularly among former GBA owners now in their late 20s and 30s who prefer using their smartphones for gaming. All five apps—My Boy!, GBA.emu, John GBAC, RetroArch, and Lemuroid—can run the entire GBA library at full speed on devices from the last six years. The main differences lie in software quality, including save state management, cheat code reliability, controller mapping, and update frequency. My Boy! and GBA.emu utilize cores derived from VisualBoyAdvance (VBA), while John GBAC uses a custom core, and RetroArch and Lemuroid rely on the mGBA core. In terms of features, all apps support save states, but My Boy! offers multiple named slots with thumbnail previews, while RetroArch has a more complex system. Cheat code support is available across the board, with My Boy! and GBA.emu accepting GameShark and CodeBreaker formats, and RetroArch providing a built-in cheat database. My Boy! stands out for its link-cable emulation, allowing local multiplayer connections, whereas RetroArch's netplay is designed for online gaming. All apps support external controllers, but RetroArch excels in visual enhancements with its extensive shader options. The setup process for all five apps is similar and typically takes under ten minutes. GBA ROMs are small, ranging from 4MB to 32MB, making them easy to store on modern devices without significant battery drain. Common issues include save files not loading, audio problems, and cheat codes failing to apply, with solutions often involving file management and settings adjustments. Users can migrate save files between emulators by ensuring the correct file naming and directory structure. Pros and cons of each app include: - My Boy!: Ad-free, strong multiplayer support, but lower rating and closed-source. - GBA.emu: High rating and broad support, but outdated and lacks a free trial. - John GBAC: Free and recently updated, but lower rating and ad-supported. - RetroArch: Free and feature-rich, but complex setup. - Lemuroid: User-friendly and actively maintained, but limited shader options. All five apps are legally available on Google Play, as they do not distribute copyrighted ROM files. Users are advised to source their ROMs legally, ideally by dumping from their own physical cartridges. GBA emulation remains an accessible entry point into retro gaming on Android, especially compared to more demanding systems like the PS2 or GameCube.

Tech Optimizer

August 25, 2026

EDB Brings Postgres-Proven Disaster Recovery to Petabyte-Scale WarehousePG Where Downtime Is Not Possible

On August 20, 2026, EnterpriseDB (EDB) announced the general availability of its Disaster Recovery feature for WarehousePG, enhancing EDB Postgres AI's analytical capabilities by enabling recovery of petabyte-scale data in minutes rather than days. This feature allows organizations to maintain a current recovery environment across on-premises, cloud, or hybrid setups, and provides flexibility in activating recovery. The implementation of Disaster Recovery for WarehousePG resulted in approximately 180 times faster recovery, with restore-point replay averaging 16 minutes, full backups decreasing from 44 hours to about 11 hours, and nearly 99% less query lock time. The recovery model was achieved without any modifications to the application architecture. WarehousePG leverages the Postgres framework for disaster recovery processes and includes built-in high availability to safeguard against component failures. The upcoming September version update will integrate Disaster Recovery configuration into WarehousePG Enterprise Manager, allowing operational teams to manage cluster health and resource utilization effectively.