processing Archives

Winsage

July 25, 2026

BackupChain Expands Hyper-V Backup for Windows Server 2025 as a Veeam Alternative

BackupChain has released an update to its backup and disaster recovery platform for Windows Server and Windows 11 users, introducing features such as faster compression, improved Hyper-V protection, expedited restores, and comprehensive backup validation. The update includes a redesigned deduplication engine that accelerates backup speeds and reduces storage usage. It also features advanced Hyper-V change tracking for efficient incremental backups and is compatible with Windows Server 2016 and later, as well as Windows 10 and 11. Restoration processes have been simplified with single-pass restores, minimizing downtime. Additionally, Deep Verification for VM backups allows for ongoing verification of the backup chain without needing to restore the virtual machine. BackupChain aims to provide robust backup technology tailored for SMBs and IT professionals, positioning itself as an alternative to larger enterprise platforms like Veeam. The latest version is now available.

AppWizard

July 24, 2026

Ultrahuman’s new ‘Emerald’ update is a massive overhaul of how the app works

Ultrahuman has released the "Emerald" update for its companion app, featuring a new design and enhanced user experience for Ultrahuman Ring PRO and other devices. The update introduces the "UltraSphere," a decision-making engine that provides personalized "Next Best Actions" based on factors like location, weather, and circadian rhythms. It utilizes health metrics such as heart rate variability, skin temperature, and movement patterns, and can incorporate blood glucose levels for users with Ultrahuman M1 or M2 Live devices. The update also includes new tabs for health insights, such as the "Sleep Screener," which consolidates sleep data, and the "Longevity Tab," which aggregates health markers related to lifespan. The "Windows" feature offers insights into time-sensitive data. Workout tracking has been improved with better automatic detection and heart rate algorithms, increasing VO2 Max accuracy by 21%. Users can connect third-party devices for seamless workout tracking. All health data processing now occurs on-device, allowing access to insights without network connectivity. The Emerald update is being rolled out globally and is available on the Google Play Store and Apple App Store.

Winsage

July 23, 2026

3 Windows settings that can make or break your PC

Windows 11 includes various settings that can significantly affect computer productivity and performance. 1. Windows Power Mode: This feature allows users to select performance settings under Settings > System > Power & battery. Options include “Best Power Efficiency,” “Best Performance,” and “Balanced.” For an Intel Core 300 laptop, power consumption varies as follows: - Performance mode: 30W sustained, 60W boost - Balanced mode: 25W sustained, 60W boost - Efficiency mode: 15W sustained, 20W boost Switching from “Balanced” to “Performance” mode can increase performance by 5%, while “Efficiency” mode can save up to 50% battery life with an 18% performance drop. 2. Storage Sense: Found under Settings > System > Storage, this feature automatically cleans up unnecessary files to maintain optimal SSD performance. It activates when free disk space falls below a certain threshold and can be manually triggered. Users can configure it to manage the Downloads folder and convert locally stored files backed up to OneDrive into cloud-only files. 3. OneDrive and Windows Backup: OneDrive syncs files between the cloud and PC, which can slow down performance, especially on asymmetric broadband connections. Users can adjust backup preferences through the OneDrive icon in the Action Center, but Windows may not always respect these settings, potentially leading to unwanted file re-downloads.

Tech Optimizer

July 23, 2026

Simplify AI agent orchestration with Lakebase Postgres

The auditing process has traditionally been labor-intensive, requiring extensive document reviews. CLA (CliftonLarsonAllen LLP) partnered with the Databricks Forward Deployed Engineering team to develop a document processing application that reduces extraction time from hours to minutes while maintaining quality. The application is built on the Databricks platform, utilizing technologies like Lakebase Postgres, Databricks Apps, Lakeflow Jobs, MLflow, and Unity Catalog Volumes. The application addresses challenges in document parsing, including unpredictable per-task latency, rate-limit-aware throttling, workload prioritization, cost attribution per task, and real-time progress visibility. It eliminates the need for multiple specialized systems by integrating components such as a web application for user interaction, Lakebase for state management, an orchestrator for task management, and AI agents for document processing. The task queue is supported by two Postgres tables in Lakebase, tracking task status and execution attempts. Concurrency safety is ensured through a locking mechanism, and crash recovery is facilitated by lease-based locking. The orchestrator implements rate-limit-aware throttling and idempotent webhook callbacks to manage task processing effectively. An operator dashboard provides real-time metrics on task status, agent performance, and workload costs, with live updates through Postgres LISTEN/NOTIFY events. Cost attribution is managed at the application level, allowing for detailed monitoring of expenditures. Lakebase enhances the orchestration process with features like autoscaling compute, OAuth-rotated authentication, Unity Catalog integration, and support for branching and snapshots.

Winsage

July 23, 2026

14 Easy Fixes to Make Windows 11 Feel Faster

Many Windows 11 PCs experience performance decline over time due to background processes and unnecessary files. To enhance performance without reinstalling Windows, consider the following strategies: 1. Uninstall unnecessary software (bloatware) via the Start menu or Installed Apps section. 2. Limit startup processes using Task Manager to disable rarely used applications. 3. Clean up disk space by enabling Windows' Storage Sense for automatic cleanup. 4. Check for viruses and spyware using Microsoft Defender or dedicated malware removal software. 5. Change power settings to Best Performance in Settings > System > Power & Battery. 6. Identify and fix resource-hogging processes using Task Manager. 7. Keep Windows updated by checking Settings > Windows Update. 8. Run troubleshooting utilities by searching for "troubleshoot" in the Start menu. 9. Use Microsoft PC Manager for a one-click performance optimization. 10. Consider adding more RAM if your device allows it. 11. Install an SSD for faster application launches and improved startup times. 12. Adjust system appearance settings for Best Performance. 13. Ensure adequate cooling to prevent overheating. 14. Turn off search indexing to free up system resources. 15. Disable Windows' Tips and manage notifications to reduce processing demands. 16. Enable Game Mode in Settings > Gaming for optimized gaming performance.

AppWizard

July 22, 2026

Messenger Interoperability: Well-Intended, but Bad for Data Privacy

WhatsApp began supporting third-party messaging services in late 2025 in compliance with the EU's Digital Markets Act (DMA), which requires major tech companies to enable interoperability with alternative chat platforms. Threema has chosen not to implement interoperability with WhatsApp, citing concerns over user privacy and security, as differences in user identification methods could lead to compromises that weaken privacy protections. Threema believes that interoperability could reinforce WhatsApp's market dominance, reducing the incentive for users to adopt the Threema app. Additionally, Threema's business model relies on app sales for revenue, and a drop in downloads due to interoperability could threaten this model. Consequently, Threema has decided against pursuing interoperability with WhatsApp to maintain its commitment to privacy and security.

Tech Optimizer

July 22, 2026

Migrating mission-critical payments at Nubank to Amazon Aurora PostgreSQL

Nubank, a digital banking platform with approximately 135 million customers in Brazil, Mexico, and Colombia, faced challenges with its payment infrastructure due to inefficiencies in managing 7.5 TB of self-hosted PostgreSQL databases. Queries took over 13 minutes to execute, and replication lags exceeded four minutes during peak times. To address these issues, Nubank evaluated database solutions based on developer productivity, operational efficiency, performance reliability, and scalability. They selected Amazon Aurora PostgreSQL-Compatible Edition for its compatibility, performance improvements, and automated features. The migration to Aurora was facilitated by AWS Database Migration Service (AWS DMS), which minimized downtime and allowed for efficient transition. Post-migration, query performance improved significantly, with some queries executing up to 1,900 times faster, and overall end-to-end service latency decreased, enhancing customer experience. The migration resulted in a 25 percent cost reduction and ensured compliance with regulatory requirements.

Tech Optimizer

July 21, 2026

I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer

The author transitioned from a data analyst role to a data engineer, creating a 12-month self-study roadmap focused on learning by building projects. The first project was a GitHub ETL pipeline, which evolved from a simple Python script to a more complex system using SQLite and GitHub Actions for automation. The author realized that the challenges of data engineering lay in system design and orchestration rather than just writing ETL logic. For the second project, the author built an automated RSS ingestion pipeline to explore engineering decisions in creating a reliable data pipeline. The project emphasized the importance of separating application responsibilities from orchestration tasks, leading to the use of Docker for consistent execution environments and Kestra for orchestration. The author validated each component of the project incrementally: first the Python ETL, then PostgreSQL, followed by Docker, and finally Kestra. This approach ensured that each layer functioned correctly before adding complexity. The final architecture included distinct responsibilities for each component: Python for data processing, PostgreSQL for data storage, Docker for execution, and Kestra for orchestration. The author learned that effective engineering involves considering system reliability, error handling, and observability, shifting the focus from merely writing code to designing entire systems. The experience transformed the author's mindset, emphasizing the importance of incremental building and the separation of execution and orchestration responsibilities.

Winsage

July 21, 2026

Samsung’s new GAIA PC chip challenges Microsoft’s Copilot+ program — and why I can only see that as a positive for the AI PC industry

NVIDIA announced the RTX Spark at Computex 2026, prompting competition among major silicon market players, including Intel, AMD, and Qualcomm. Samsung is entering the market with its custom silicon for AI-driven PCs, named GAIA, marking its first development of PC-centric silicon since 2012. GAIA will function as a companion Neural Processing Unit (NPU) rather than a traditional System-on-Chip (SoC). It is expected to use a 4nm process and may incorporate processing-in-memory (PIM) capabilities. Lenovo China and HP USA have received samples for testing. Competitors like Snapdragon X/X2, Intel Core Ultra, and AMD Ryzen AI are integrating NPUs with at least 40 TOPS. Samsung's GAIA has not been officially confirmed, and details regarding TOPS, power consumption, and pricing are unclear. The 40 TOPS benchmark by Microsoft for integrated NPUs raises questions about how GAIA would be evaluated alongside Intel or AMD CPUs.

Winsage

July 21, 2026

Samsung’s new GAIA PC chip challenges Microsoft’s Copilot+ program — and why I can only see that as a positive for the AI PC industry

NVIDIA announced the RTX Spark at Computex 2026, prompting Samsung to develop custom silicon for AI-driven PCs, marking its return to the PC silicon market since the Exynos 5 Dual in 2012. The new silicon, named GAIA, is being created by Samsung's System LSI unit as a companion Neural Processing Unit (NPU) to enhance performance by offloading AI tasks. GAIA is expected to utilize a 4nm process and may explore processing-in-memory (PIM) capabilities with specialized DRAM. Samples of GAIA have been sent to Lenovo China and HP USA for evaluation. Many details about GAIA, including performance metrics and pricing, remain undisclosed. Microsoft has not commented on GAIA's implications for its Copilot+ program, which has a minimum threshold of 40 TOPS for integrated NPUs.