indexing Archives

Winsage

April 9, 2026

Windows is sabotaging your expensive hardware, and these are the biggest ways how

Modern PCs, even with mid-range hardware, can experience performance issues not solely due to hardware limitations but because of how Windows operates. The operating system runs numerous background services that consume resources, including Connected User Experiences and Telemetry, Diagnostic Policy Service, and Windows Error Reporting. These services log activity and send data to Microsoft, leading to unexpected CPU spikes and disk usage. Startup applications, such as Microsoft Teams and OneDrive, also contribute to longer boot times and increased resource usage. Users should monitor and limit these applications to improve startup performance. Legacy features like SysMain, Windows Search indexing, and automatic folder type discovery can hinder performance on modern systems, as they were designed for older hardware and can cause unnecessary disk activity. Microsoft services like Copilot and OneDrive continuously run in the background, consuming memory and CPU resources, which affects overall system performance. Windows' power management settings prioritize energy efficiency over performance, leading to inconsistent responsiveness and delays during tasks. This conservative approach impacts various components, making the system feel sluggish.

Tech Optimizer

April 1, 2026

EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era

Independent benchmarking by McKnight Consulting Group shows that EDB Postgres AI for WarehousePG provides significant cost efficiency and performance consistency, with organizations potentially saving up to 58% in total cost of ownership compared to leading cloud data warehouse solutions. The evaluation compared EDB PG AI against competitors like Snowflake, Databricks, Amazon Redshift, and Hive on Apache Iceberg using a 10TB extended TPC-DS dataset, focusing on high-concurrency mixed workloads. Key findings include: - EDB PG AI demonstrated unmatched cost efficiency, with an annual cost of ,886 compared to Snowflake’s ,953 for a multi-cluster setup. - It exhibited superior concurrency handling, with the lowest performance slowdown of 2.7x when scaling from one to five concurrent users, outperforming Snowflake (3.9x), Redshift (4.0x), and Databricks (4.1x). - EDB PG AI's core-based, capacity-pricing model eliminates unpredictable pricing fluctuations associated with consumption-based models. EDB announced Q1 2026 platform updates, including: - GPU-Accelerated Analytics for 50–100x faster analytics on large datasets. - Enhanced Agent Studio for quicker AI agent development and deployment. - Upgraded Vector Engine for improved indexing speed and efficiency. - WarehousePG Enterprise Manager for simplified management of MPP workloads. - Agentic Database Management with a native chatbot for natural language database management. - Certification as a mission-critical data layer for the Red Hat Ansible Automation Platform.

Winsage

March 30, 2026

Windows 11 File Explorer is finally getting faster in 2026, but it’s been slower than Windows 10 for years

Microsoft plans to enhance the File Explorer experience in Windows by 2026, with initial improvements available to Windows Insiders as early as April. Key updates will focus on a quicker launch experience, reduced flicker, smoother navigation, and improved performance for everyday file tasks. Enhancements will address latency issues in search, navigation, and context menus, aiming for faster and more reliable file copying and moving. The context menu will see lower latency when right-clicking, and system-level changes will aim to reduce interaction latency and improve the shared UI infrastructure. Third-party file managers currently demonstrate faster performance compared to the default File Explorer, highlighting the need for Microsoft to improve its application.

AppWizard

March 23, 2026

5 Android Apps That Are Probably Slowing Down Your Phone

The optimal range of RAM for smartphone performance is generally considered to be 8GB to 12GB. Power-intensive applications can create challenges, but managing cache, clearing storage, and restricting background usage can help. Certain apps, especially those using location data, require specific permissions and background activity. Users can check battery usage by app in their device's battery health settings, where higher battery consumption often indicates increased CPU and data usage, potentially leading to sluggish performance. Replacing resource-heavy apps with lighter alternatives or limiting background activity may improve device performance. TikTok requires a significant data cache for seamless playback, and its processing power demand can cause performance slowdowns, especially when streaming high-definition videos. TikTok Lite offers a less resource-intensive alternative. Google Photos functions primarily as a cloud-based storage solution, which can affect device performance during image indexing and backups. Spotify's aggressive caching can lead to storage issues, and using Battery Saver mode may throttle CPU performance. Google Maps relies heavily on GPS and runs in the background, increasing data usage and potentially slowing down devices. Instagram can drain battery life through notifications and preloading media, which may lead to storage issues if the cache is corrupted. Reducing notification frequency and managing alerts can help alleviate performance strain.

Winsage

March 15, 2026

I stopped letting Windows 11 “help” with my files—my PC feels faster now

Windows File Explorer's performance has declined due to the accumulation of features that have made it more cumbersome. Users can improve performance by disabling certain features: 1. Disable OneDrive: OneDrive consumes over a gigabyte of memory during syncing. To disable it, right-click the cloud icon in the system tray, access settings, unlink the PC, and disable it from auto-launching in Task Manager. 2. Turn off Bitlocker: Bitlocker encrypts drives by default, which can slow down file operations. To disable it, go to Control Panel > System & Security > Bitlocker Encryption and select Turn Bitlocker off. 3. Disable automatic folder type discovery: This feature can cause lag when opening folders. To disable it, edit the Windows Registry by navigating to a specific path and creating a new String Value named "FolderType" with the value "NotSpecified." 4. Turn off Windows Search indexing: Windows Search consumes resources and may perform poorly. To disable it, access services.msc, stop Windows Search, and change its Startup type to Disable. Users can then download and use the tool "Everything" for a more efficient search experience.

Tech Optimizer

February 14, 2026

PostgreSQL on Azure supercharged for AI

Over 80% of developers now incorporate AI tools into their workflows. PostgreSQL is preferred by 78.6% of developers engaged in AI and real-time applications. Microsoft has enhanced its PostgreSQL managed services to meet contemporary developer needs, contributing over 500 commits to the open-source project. The Azure Database for PostgreSQL supports both lift-and-shift and new open-source workloads, while the newly introduced Azure HorizonDB is designed for AI-native workloads. Developers can provision PostgreSQL instances directly from Visual Studio Code, and GitHub Copilot assists in writing and optimizing SQL queries. Azure Database for PostgreSQL facilitates integration with Microsoft Foundry for AI applications and supports high-performance similarity search with DiskANN vector indexing. PostgreSQL 18 is now available on Azure, offering enhanced performance and scalability. Nasdaq has modernized its Boardvantage platform using Azure Database for PostgreSQL and Microsoft Foundry to integrate AI for governance tasks. Azure HorizonDB is a fully managed PostgreSQL-compatible service designed for AI-native workloads, currently in private preview.

Tech Optimizer

February 12, 2026

Build a custom solution to migrate SQL Server HierarchyID to PostgreSQL LTREE with AWS DMS

Data migration from SQL Server to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition often requires adjustments to the database schema or SQL commands. AWS provides DMS Schema Conversion to aid in converting existing database schemas and AWS Database Migration Service (AWS DMS) to assist in data migration, featuring enhanced security and minimized downtime. SQL Server uses the HierarchyID data type for managing hierarchical data, while PostgreSQL employs the LTREE extension for similar purposes. The migration process involves preparing both the source SQL Server and target PostgreSQL environments, creating tables, installing the LTREE extension, and converting schemas using AWS DMS Schema Conversion. The migration steps include creating sample tables in SQL Server with HierarchyID columns, enabling change data capture (CDC), creating the LTREE extension in PostgreSQL, and preparing the target table structure. AWS DMS endpoints are created for both source and target databases, followed by the creation and execution of an AWS DMS migration task. Post-migration, the original HierarchyID column is replaced with the LTREE column, and the IDENTITY column behavior is reverted to its original state. The migration process is verified by inserting rows in PostgreSQL and ensuring they are in the correct LTREE format. Common functions from SQL Server's HierarchyID are mapped to their PostgreSQL LTREE equivalents, facilitating the transition between the two systems.

Winsage

February 11, 2026

Users Solve Windows 11 Issues With Four Settings Checks

To address slowdowns and glitches in Windows 11, users should verify several settings before considering a complete reinstallation. Key actions include: 1. Check for Windows Updates: Navigate to Settings > Windows Update to install patches and update device drivers. Uninstall problematic updates if necessary. 2. Manage Startup Applications: Use Task Manager (Ctrl+Shift+Esc) or Settings > Apps > Startup to disable unnecessary auto-starting applications to improve boot speed. 3. Pause OneDrive Syncing: Temporarily pause OneDrive syncing during resource-intensive tasks to prevent performance degradation. 4. Adjust Visual Effects: Disable Transparency effects and Animation effects in Settings > Personalization > Colors and Settings > Accessibility > Visual effects, respectively, to reduce GPU strain. 5. Limit Notifications: Turn off notifications in Settings > System > Notifications to minimize interruptions. 6. Restrict Background Activity: Set background app permissions to "Never" for infrequently used applications to conserve memory and disk usage. 7. Run Security Scans: Use Windows Security to perform a Quick scan and ensure that real-time protection features are enabled to detect malware and adware. 8. Browser Maintenance: Reset browser settings, remove unknown extensions, and enable tracking protection to improve resource management. If issues persist, further steps include running System File Checker, testing memory, checking storage health, or performing a repair install of Windows.

Tech Optimizer

January 27, 2026

PostgreSQL for WMS: a DBMS selection strategy in the era of import substitution

Choosing a Database Management System (DBMS) for Warehouse Management Systems (WMS) is a strategic decision that impacts security, budget, and adaptability. PostgreSQL is identified as a safe, cost-effective, and future-proof solution for Russian warehouse systems, especially following the withdrawal of foreign vendors like Oracle and Microsoft SQL Server. Starting September 1, 2025, foreign software usage in government bodies and companies with over 50% state ownership will face legal restrictions, posing regulatory risks for those using Oracle. Financial risks include high licensing fees and the potential for legal prohibitions on current technologies. Business continuity risks arise from the possibility of vendors ceasing support and updates. PostgreSQL, both in its vanilla form and commercial derivatives like Postgres Pro, is presented as a robust alternative capable of handling high loads and providing necessary features for modern WMS. It supports real-time analytics and advanced capabilities such as intelligent search and automatic classification using neural networks. Key considerations when choosing a DBMS include estimating data volumes, checking legal requirements, and calculating total cost of ownership (TCO).

Tech Optimizer

January 26, 2026

OpenAI Scales ChatGPT to 1M Queries/Second with PostgreSQL on Azure

OpenAI has optimized its database infrastructure using PostgreSQL to support 800 million monthly active users and process over a million queries per second without complex sharding. The architecture consists of a single primary instance with nearly 50 read replicas, achieving low double-digit millisecond response times at the 99th percentile. OpenAI employs best practices like connection pooling, query optimization, and strategic indexing, utilizing tools such as PgBouncer for efficient connection management. The company has achieved five-nines availability through failover mechanisms and has adapted to a tenfold increase in query volume within a year by tuning PostgreSQL parameters rather than creating custom solutions. OpenAI incorporates community-driven optimizations, such as custom indexing strategies and materialized views, and uses extensions like pgvector for managing vector data and embeddings. The organization continuously monitors for strain during traffic surges and adjusts by adding replicas or optimizing configurations. Their approach emphasizes simplicity, avoiding sharding to minimize operational overhead, and they plan to explore newer PostgreSQL features and AI-native capabilities in the future.