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These 5 Linux distros promise to run Windows apps—I tried them all, and one was clearly the best
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 when transitioning from Windows to Linux is software compatibility. Wine and its frontends allow Windows applications to run on Linux, but the ease of use varies across distributions. Zorin OS integrates Windows application support into its desktop experience, allowing users to install .exe and .msi files directly through its Windows App Support component. It simplifies the process by eliminating the need for complex commands and provides a database of popular Windows installers. Winux (Wubuntu) creates a familiar environment for Windows users but faces challenges with running Windows software, requiring additional configuration for proprietary components. Bazzite focuses on gaming, utilizing Wine-based tools for compatibility but may not cater to everyday Windows applications. Nobara, a Fedora-based distro, emphasizes gaming enhancements and shares similar limitations regarding standard Windows productivity applications. Garuda Linux is aimed at experienced users and offers flexibility with Wine and Proton support, but its complexity may not suit those looking for a simple transition. Zorin OS is identified as the most effective solution for running Windows applications on Linux, providing a manageable transition while maintaining access to necessary software.
silver Android smartphone
Tech Optimizer
September 4, 2026

EDB Highlights Postgres AI Growth in Regulated Enterprise Markets

EnterpriseDB (EDB) has reported advancements in the adoption of its EDB Postgres AI (EDB PG AI) platform, which integrates transactional, analytical, and AI workloads. While 95% of enterprises aspire to become their own AI and data platforms within three years, only 13% have achieved this. EDB PG AI supports existing systems and prepares enterprises for future AI capabilities. A case study highlights PAC 2000A Conad, which restructured its data infrastructure with EDB PG AI, serving over 1,600 stores and 7,000 devices. In Korea, over billion has been invested in the sovereign AI market, with organizations seeking hybrid and on-premises solutions despite challenges from fragmented data environments. Notable users of EDB PG AI include the Industrial Bank of Korea and Shinhan EZ Insurance. EDB PG AI is built on Postgres and allows enterprises to optimize data and AI capabilities with governance at the data layer.
silver Android smartphone
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.
Prolific Microsoft 0-day hunter drops CrowdStrike Falcon exploit PoC
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.
Connecting My LangGraph AI Agent to Postgres
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.
silver Android smartphone
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.
Autoscaling Lakebase Postgres
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.
Overcoming the Barriers of Commercial DBs with Open Source and AI… EDB Hosts 'PostgreSQL AI Summit'
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.
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