memory Archives

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.

Tech Optimizer

October 11, 2026

Query Plan Hints in PostgreSQL 19: A New Postgres Feature You Will Probably Never Need

PostgreSQL 19 features an advanced query planner that utilizes table statistics from pg_statistic, gathered during the ANALYZE process, to generate and evaluate potential query plans based on their costs. The planner assesses various configurations, especially in complex joins, to select the most efficient option. Instances of poor planning are treated as bugs and addressed promptly. To improve query performance, users are advised to refresh statistics with ANALYZE, use CREATE STATISTICS for column correlations, modify indexes, and adjust memory settings. In cases where the query cannot be altered, providing planner advice may be necessary, particularly when the planner misestimates the output of PL/pgSQL functions or other custom functions, leading to inefficient query execution.

AppWizard

October 10, 2026

How to easily sideload Android apps on your new Googlebook

Chrome Unboxed offers support for independent tech journalism and provides an ad-free experience with membership benefits. Android gamers face challenges with popular titles like Call of Duty: Mobile, which are unavailable for installation on Googlebook via the Play Store. Users can sideload apps on Googlebook OS, built on Android 17, without the limitations of the Play Store. The sideloading process involves downloading an APK from a trusted source, allowing unknown apps in Chrome, and installing the app. Google Play Protect monitors installed applications for malicious activity, but users should still exercise caution when sideloading.

Tech Optimizer

October 10, 2026

We Got a $240,000 Estimate for Agent API Access. Our Agent Suggested a $5 Postgres Instance.

The operational landscape at SaaStr has changed significantly with the integration of AI, particularly with the AI VP of Revenue, 10K, which manages most outbound, inbound, and revenue operations and executes 35,000 to 40,000 API calls daily. Salesforce, Atlassian, and HubSpot are now charging for agent access, with estimates suggesting that maintaining 10K could cost around 0,000 annually. 10K has proposed mirroring the system of record into a Postgres database to reduce API call costs. Previous limitations with Marketo restricted API access to 10 or 20 minutes daily, prompting a migration away from it. The cloud index has risen by 18%, while vendors relying solely on per-seat sales are struggling. Data shows that 49.7% of executives changed jobs in the last 16 months, with 63% of CMOs doing the same. Additionally, more than 75% of AI-native attendees at SaaStr events had never attended before. 10K is now tracking its own API calls and reducing unnecessary ones, while a Postgres mirror is being considered for vendors with high agent pricing. Muse is being tested for ad capabilities against Claude and Replit.

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.

BetaBeacon

October 10, 2026

LDPlayer vs MuMu vs NoxPlayer: 8-Year Android Gap

LDPlayer, MuMu Player, and NoxPlayer are BlueStacks alternatives that are popular among users. LDPlayer and MuMu Player each have roughly 22,200 monthly searches in the US, putting them on par with BlueStacks in search demand. NoxPlayer trails with around 2,400 monthly searches. LDPlayer is marketed towards gamers who want multi-instance farming for mobile RPGs, MuMu Player boasts a newer Android core and high-refresh gaming modes, and NoxPlayer is known for its automation and scripting tools. LDPlayer's latest version is LDPlayer 14, MuMu Player is on version 6.0, and NoxPlayer is still on Android 7. LDPlayer has no native macOS build, MuMu Player has official Windows and macOS installers, and NoxPlayer's macOS build may need to be checked for update recency.

Winsage

October 10, 2026

Microsoft reveals plan to make Windows 11 Search much less painful to use, including a performance boost

Microsoft is transforming Windows 11 Search to improve user experience by enhancing performance, reducing memory consumption, and streamlining the interface. The redesign is currently being rolled out to Windows Insiders for feedback before a broader launch. Key changes include a new architecture using WinUI 3, which improves performance and memory efficiency, and a simplified interface that merges results into a cohesive list. The updated Search will better understand user intent, support typos and synonyms, and include features such as inline previews and expanded file information. Users will also be able to execute common Windows tasks directly through the Search interface, such as switching to dark mode or turning on Bluetooth.

Winsage

October 9, 2026

Microsoft’s AI-Powered Windows Strategy: 5 Things To Know

Microsoft has transitioned its Execution Containers capability into general availability, creating a secure environment for AI agents on Windows 11. Nvidia's CEO praised Microsoft's MXC architecture as a revolutionary foundation for application development. Organizations are increasingly relying on managed service providers to navigate AI tools. The general availability of Microsoft Execution Containers allows organizations to define access for AI agents, with real-time policy enforcement. The open-source MXC library integrates across Windows, macOS, and Linux, helping manage agent interactions and mitigate risks. Microsoft is enhancing the Copilot experience with hybrid intelligence features and revamping Windows Search for better performance. Preorders for new Copilot+ PCs powered by Nvidia's RTX Spark technology are open, with shipments starting on October 16. Device partners like Dell, HP, and Lenovo are also launching AI PCs on the same date. Later this year, Dell and HP will introduce Nvidia’s DGX Station technology to enable local running of frontier-class AI models on Windows devices.

BetaBeacon

October 9, 2026

Citra Emulator: A Simple Guide to Playing Nintendo 3DS Games on PC and Android

Citra is an open-source program designed to run compatible Nintendo 3DS games on other devices by recreating parts of the original console's behavior.

Winsage

October 8, 2026

Microsoft Stocks Rise as Windows Pulls AI Off the Cloud

Microsoft is distributing artificial intelligence (AI) workloads between local Windows PCs and the cloud, with shares rising approximately 0.3% to 1.39 as of October 8. The strategy involves executing tasks on devices while using cloud resources for additional computing power. Microsoft has announced the general availability of Execution Containers to enhance security for AI agents. The upcoming Surface Laptop Ultra will support models with over 120 billion parameters, available on October 16, and Microsoft is introducing a 137-billion-parameter MAI Code model utilizing compression techniques. Microsoft shares are trading at 10.1% below the GF Value estimate of 1.09, indicating a valuation cushion. The company aims to reduce reliance on cloud services while enhancing Windows and developer offerings to create new revenue streams.