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A practical guide to cost optimization with Lakebase Postgres
Tech Optimizer
October 11, 2026

A practical guide to cost optimization with Lakebase Postgres

Lakebase is a fully managed Postgres database designed for modern application development, featuring an architecture that separates storage and compute with a serverless compute layer. This design allows for cost efficiencies through various mechanisms: 1. **Branching**: Developers can create isolated environments for development, testing, or experimentation without duplicating storage costs, as branches share the same underlying storage. 2. **Autoscaling**: Lakebase adjusts compute resources based on activity levels, allowing users to pay only for the compute they use. It can scale down during low activity and can be suspended entirely after inactivity, reducing costs to zero. 3. **Read Replicas and High Availability**: The separation of storage and compute allows for adding read replicas and high availability without incurring additional storage costs, as these instances utilize the same storage layer. 4. **Synced Tables**: Integration with the Databricks Intelligence Platform enables efficient data syncing, allowing users to sync only the necessary working set of data, which helps avoid unnecessary storage and sync costs. 5. **Sync Modes**: There are three sync modes (Snapshot, Triggered, Continuous) for transferring data from the Lakehouse to Lakebase, each with different cost implications based on data freshness requirements. 6. **Right-sizing Compute**: Users can set the initial compute range during project provisioning to avoid over-provisioning and unnecessary costs. 7. **Monitoring and Metrics**: The Lakebase Metrics dashboard provides insights into working set size and cache utilization, helping users optimize their compute sizing and performance. 8. **Point-in-Time Restore (PITR) and Snapshots**: PITR maintains history for recovery within a configurable window, while snapshots offer discrete recovery points. Both are priced lower than standard storage, making them cost-effective options for data recovery. Lakebase costs are categorized into compute, storage, and serverless pipeline compute for syncing data. Compute is measured by CU usage, while storage includes branch storage, PITR history, and snapshot storage, all tracked separately. Users can access detailed usage and cost information through system billing tables.
Microsoft Overhauls Windows 11 Search To Control Your PC Faster Than Ever
Winsage
October 10, 2026

Microsoft Overhauls Windows 11 Search To Control Your PC Faster Than Ever

Microsoft has released an update for its Insider Program that includes a revamped Search feature, enhancing user experience with a focus on more informative results and previews. The update integrates advanced capabilities through WinUI 3 and allows users to access quick details without launching files or navigating File Explorer. It introduces web previews for specific queries, such as local weather and stock market data, and includes "inline actions" that enable users to perform tasks directly from the search window, like sending SMS messages or changing themes. Users can explore these features by joining the Windows Insider Program and enabling Feature flags in the settings.
Asus Googlebook 14 Review: For Android, By Android
AppWizard
October 10, 2026

Asus Googlebook 14 Review: For Android, By Android

Googlebook 14 features Googlebook OS, which is based on Android and incorporates elements from ChromeOS, offering a familiar user experience for Android users. The interface resembles that of Android devices, with home screens, quick settings, and app access similar to smartphones. Integration with Android phones allows users to access apps, notifications, and files directly from the laptop. The "Continue On" feature enables users to pin phone apps to the Googlebook taskbar for easy transitions between devices. However, Googlebook OS lacks support for traditional desktop software, limiting the functionality of Android apps available through Google Play. Google is addressing compatibility issues by labeling apps for desktop use in the Play Store. New features like Magic Pointer, Proactive Suggestions, and Rambler are introduced, but the OS still requires significant improvements in app compatibility and desktop interface optimization. Google has faced challenges in developer support for optimizing applications for Googlebook OS.
A week with Googlebooks: four notes from our testing so far
AppWizard
October 10, 2026

A week with Googlebooks: four notes from our testing so far

Google has launched five new Googlebook laptops featuring the Googlebook OS, which has received mixed reviews. While the hardware is praised, the software is criticized for being problematic and not a significant upgrade from ChromeOS. Users report issues such as the inability to run Chrome with separate Google accounts, clunky Android apps, and awkward command requirements for messaging apps. The app ecosystem is struggling, with many applications failing to adapt to the Googlebook's interface, resulting in a frustrating user experience. Linux applications face integration challenges, complicating multitasking. Despite some successful features like file transfer and notification responses between Googlebook and Android devices, users experience frequent connectivity issues and sluggish performance.
How and why we built Managed PostgreSQL for AI workloads
Tech Optimizer
October 10, 2026

How and why we built Managed PostgreSQL for AI workloads

The Nebius Managed PostgreSQL team developed a solution for AI workloads using CloudNativePG and Kubernetes, resulting in improved backup and restore times by transitioning from Barman to WAL-G, reducing a 1.5 TB backup duration from over a day to two hours. Since its launch in 2025, the service supports hundreds of production clusters and manages tens of tebibytes of data. Key features include high availability, point-in-time recovery, automated failover, compressed and encrypted backups, rapid restoration, connection pooling, and strict synchronous replication for zero data loss. Kubernetes and CloudNativePG were chosen for their advantages, including out-of-the-box features and open-source distribution. Each cloud project has a separate MK8s cluster for customer isolation and security. Persistent data is stored on fault-tolerant SSD drives, enabling swift instance migration during failures. Regular physical backups are archived, allowing restoration within a seven-day window with a single click. The transition from Barman to WAL-G addressed slow backup and restoration times and resource control limitations. With WAL-G, backups and restorations for a 1.5 TB cluster improved to two hours and one hour, respectively. PgBouncer was implemented to manage database connections effectively, reducing connection storms during peak AI workload traffic. Two vector search extensions, pgvector and pgvectorscale, are available to cater to different memory and dataset needs. Benchmarking showed that Nebius performs competitively with AWS at a lower cost. The infrastructure integrates cloud engineering principles with specialized expertise to meet AI workload demands.
Thank goodness one of my top wishlishted CRPGs is dodging World of Warcraft: Forever and Grand Theft Auto 6's warpath with a new release date
AppWizard
October 10, 2026

Thank goodness one of my top wishlishted CRPGs is dodging World of Warcraft: Forever and Grand Theft Auto 6’s warpath with a new release date

Owlcat Games has delayed the release of its CRPG, Shadow of the Road, from November 12, 2026, to March 10, 2027, across PC platforms including Steam, the Epic Games Store, and GOG. This delay allows the development team to refine the combat system and enhance character progression. The decision also positions the game to avoid competition with major titles like World of Warcraft: Forever and Grand Theft Auto 6. There is potential for the game to be released on Xbox platforms in the future.
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