cache

Tech Optimizer
September 1, 2026
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.
AppWizard
August 31, 2026
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.
AppWizard
August 27, 2026
Android System Intelligence (ASI) is a component created by Google that enhances user experience on Android devices, particularly on Pixel phones, by supporting features like Live Caption, Now Playing, Smart Autorotate, and app predictions. ASI operates within Android's Private Compute Core, introduced in 2021, and utilizes machine learning without direct internet access, relying on Private Compute Services for cloud updates. It collects data such as crash logs and device identifiers for analytics, with users having the option to disable this data collection. ASI is not a standalone app but an infrastructure that supports various features, including music identification and smart notification actions. It requests extensive permissions for functionalities like smart predictions and contact suggestions, though not all features require all permissions. The privacy framework of ASI is designed to limit direct internet access, and users can view a Network Usage Log on Pixel devices. Disabling ASI is possible but does not remove it; it can be turned off under Settings > Apps. Reports indicate that essential phone functions remain intact even when ASI features are disabled, such as Now Playing and Live Caption. Google has not stated that disabling ASI will cause instability in the Android operating system. For troubleshooting ASI issues, Google recommends restarting the device, updating software, force-stopping the app, or clearing its cache or data. ASI has over 5 billion downloads on Google Play.
Winsage
August 20, 2026
Microsoft has released a guide for IT administrators focused on optimizing Windows deployments and reducing bandwidth usage through Windows Delivery Optimization configured via Microsoft Intune. Delivery Optimization uses a peer-to-peer sharing system, allowing devices to download content from each other instead of solely from Microsoft servers, which helps reduce internet strain for organizations with many Windows PCs. Administrators can create specific peer groups based on network topology and control bandwidth usage for downloads, with options to set different limits for business and off-hours. Microsoft also introduced Connected Cache, which stores frequently accessed content locally to further minimize bandwidth consumption. A statistic shared by Microsoft indicates that using Delivery Optimization can significantly reduce internet traffic, as a 1 GB update for 10,000 devices could otherwise generate 10 TB of internet traffic. The guide recommends starting with a small seeder ring of devices to populate peer caches before wider deployment. Microsoft provides specific policy settings for Delivery Optimization, including default and recommended values for settings such as download mode, peer selection, cache size, minimum file size for caching, cache age, and monthly upload data cap. Proper configuration of Delivery Optimization is suggested to benefit organizations managing large numbers of devices.
AppWizard
August 19, 2026
Samsung Galaxy users are facing RCS issues in Google Messages after transferring data to new devices using Samsung's Smart Switch, following Samsung's shift to Google Messages as the sole RCS-supporting app in the U.S. Users report that RCS functionality stops post-transfer, with error code 3100 appearing when trying to enable RCS or send messages. A Google representative suggested that corrupted cache files from the transfer may be the cause. Some users are considering factory resets, but it's unclear if this will resolve the issue. Similar RCS problems have also been reported by users switching carriers, potentially due to incomplete number-porting processes. Google is aware of these challenges but has not provided a universal solution.
Winsage
August 19, 2026
Users of VLC on Windows 11 have experienced delays of up to 33 seconds for MP3 playback due to a bug in Microsoft Defender that interferes with VLC's plugin cache. VideoLAN has clarified that this issue is not a reflection of VLC's reliability. Affected users can resolve the problem by adding the VLC folder as an exception in Windows Defender or by regenerating the plugin cache. Jonathan Blow, a game developer, highlighted the issue in a tweet, prompting discussions about the state of open-source software. Other users have reported similar delays, even on Windows 10. VideoLAN emphasized that the problem lies with Microsoft Defender, not with VLC itself.
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