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Windows 11 26H2 Delivers 40% Faster Apps for 16 GB Systems; 8 GB Machines Left Behind
Winsage
October 6, 2026

Windows 11 26H2 Delivers 40% Faster Apps for 16 GB Systems; 8 GB Machines Left Behind

Windows 11 version 26H2 was released on September 29, 2026, featuring performance enhancements for users with 16 GB or more of RAM, including a reduction in idle memory consumption by 2–3 GB and a 40% acceleration in application and system interface launches. The update package is 174 kilobytes and activates previously dormant features, resetting the support lifecycle for Windows 11 Home and Pro until October 2028. The Low Latency Profile is a key feature that boosts CPU clock speed temporarily during application launches, resulting in faster interactions, with independent tests showing a 70% improvement in opening the Start menu. Users with 16 GB or more of RAM have reported idle RAM dropping from over 10 GB to around 7 GB after the update. However, users with 8 GB of RAM have experienced minimal improvements and high idle memory utilization. Microsoft is committed to optimizing Windows for 8 GB machines, but early reports suggest limited gains from 26H2.
Expert Opinions and Insights from the Tech Industry
AppWizard
September 23, 2026

Expert Opinions and Insights from the Tech Industry

The Android development community has historically addressed memory optimization reactively, but new performance requirements from Google Play, effective February 2027, emphasize proactive memory management. These requirements include metrics for dynamic memory usage, bitmap memory, and DEX code optimization, with apps needing at least 25% optimization coverage. Memory usage can now hinder releases even without local crash replication, necessitating its integration into the pre-production process alongside other performance metrics. Dynamic memory usage is defined as anonymous RSS plus swap, excluding file-backed data. Google Play will evaluate this across different application states and device performance categories. Bitmap memory is scrutinized for the retention of invisible bitmaps, and DEX optimization aims to reduce memory footprint and improve performance. Investigating memory growth involves using Android Studio’s Memory Profiler to monitor memory changes during specific user flows and conducting heap dumps to identify retained objects. Issues often arise from retained state, where components hold onto callbacks that reference image data, necessitating a focus on lifecycle management rather than merely cache size. Bitmap memory should be carefully managed, as the decoded size can significantly exceed the compressed file size. Downsampling images to match UI dimensions is crucial. Memory checks should occur before production, with a focus on establishing a memory budget based on actual measurements and defining representative memory scenarios for testing. A pre-release memory checklist includes running user flows repeatedly, testing on various devices, inspecting heap dumps, examining image configurations, and reviewing optimization metrics. Monitoring Android vitals and Play Console warnings is essential to detect potential issues before they lead to user-reported crashes.
When Memory Becomes a Release Metric: Preparing Android Apps for Google Play’s New Limits
AppWizard
September 21, 2026

When Memory Becomes a Release Metric: Preparing Android Apps for Google Play’s New Limits

In August 2026, Google Play announced new performance requirements for memory management that will be enforced starting February 2027. These requirements include metrics for dynamic memory usage, bitmap memory, and DEX code optimization. Applications that exceed these thresholds may face reduced visibility and publishing capabilities on the platform. Dynamic memory usage is defined as the sum of anonymous RSS and swap, excluding file-backed data. Google is focused on whether applications retain non-visible bitmaps and requires at least 25% coverage in DEX optimization. Memory issues can be difficult to reproduce, and developers are encouraged to use Android Studio’s Memory Profiler to investigate memory growth. A thorough investigation involves monitoring memory changes, taking heap dumps, and understanding reference paths. Bitmap memory should be carefully managed, as the runtime cost of images can exceed their file size. Google will provide real-world memory metrics through the Play Console, and teams are advised to establish memory budgets and perform pre-release checks to identify potential issues before they lead to out-of-memory (OOM) crashes.
Your Windows 11 PC is wasting RAM on 5 apps you probably don't even use
Winsage
September 14, 2026

Your Windows 11 PC is wasting RAM on 5 apps you probably don’t even use

Windows 11 has been criticized for being bloated, with several applications consuming excessive amounts of RAM without user consent. - The MSN Weather app can exceed 1GB of RAM shortly after launching, significantly impacting system memory. - The Widgets Board can consume several hundred megabytes of RAM depending on the displayed content. - Outlook, reliant on the WebView2 framework, can use hundreds of megabytes of RAM and remains active in the background, leading to unnecessary memory consumption. - Microsoft Edge often continues running in the background after being closed due to a feature called Startup Boost. - OneDrive is known for its background RAM consumption and potential memory leaks, making it advisable to uninstall for users who do not use it. Users with limited RAM should evaluate and uninstall default Windows applications that do not meet their needs to optimize performance.
Improving Lakebase Postgres compute cache
Tech Optimizer
September 11, 2026

Improving Lakebase Postgres compute cache

Lakebase Postgres employs a disaggregated storage model that enhances data management through efficient caching, utilizing an object store like S3 for backups. The caching operates on two layers: within distributed storage for optimizing write and read performance, and on the Postgres compute side for ultra-fast access to frequently accessed pages. Traditional Postgres caching involves shared buffers and the OS page cache, which leads to double buffering and inefficiencies. Lakebase Postgres addresses these issues by implementing a local file cache (LFC) and larger shared buffers, allowing for more effective memory utilization without the drawbacks of the OS page cache. The shared buffers are set to a maximum of 1 GB, while the LFC can utilize up to 75% of DRAM. The introduction of huge pages reduces memory management overhead and improves performance, resulting in significant throughput increases and reduced latency in production environments. Recent enhancements have shown up to 2× throughput improvements and substantial reductions in CPU usage. The focus is now on extending these benefits to autoscaling Postgres computes, with plans to implement dynamic shared buffers and autoscaling huge pages.
The AI memory crunch has reached the apps on your phone
AppWizard
August 31, 2026

The AI memory crunch has reached the apps on your phone

Google will implement new memory usage regulations for Android applications starting in February 2027, due to a global RAM shortage. Apps exceeding the set memory limits may be throttled, terminated, or face reduced visibility on the Play Store. The memory thresholds vary based on device specifications, with specific limits for foreground, background, and bitmap memory usage. Non-compliance will result in penalties affecting app distribution and visibility. The memory crisis is attributed to increased demand from the AI data center industry, leading to rising RAM costs. The new limits will first apply to Pixel devices with Android 17, and other manufacturers are expected to follow. Additionally, by April 2027, all apps on the Play Store must support zero-tap credential restoration for users transitioning to new devices.
Google forces Android apps to use memory more wisely as RAMpocalypse rages
AppWizard
August 27, 2026

Google forces Android apps to use memory more wisely as RAMpocalypse rages

Starting in early 2027, Android apps on Google Play must meet new memory performance standards due to rising RAM prices and consumer demand for streamlined smartphones. Google is concerned about a potential "ecosystem-wide memory crisis" and aims to improve memory efficiency in app development. The new standards will be implemented in two phases: the first phase in February 2027 will set thresholds for undesirable behavior and code optimization, while the second phase in April 2027 will enhance device migration with a zero-tap credential restoration feature. Specific memory limits include: - For devices with 8 GB of RAM: foreground app usage capped at 2.25 GB, 1.5 GB for user-perceived services, and 1.5 GB for background processes. - Devices with more than 16 GB of RAM will be largely exempt from these restrictions. - Bitmap memory usage limited to 200 MB for user-perceived and background services, with a cached limit of 400 MB across all devices. - Gaming applications will have different memory requirements. The DEX code optimization mandate aims to improve memory utilization, app launch speed, and runtime performance. The zero-tap sign-in requirement in the second phase seeks to streamline device migration and enhance security, addressing risks associated with manual sign-ins.
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