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As a longtime Android privacy nerd, here are 6 privacy apps I actually regret installing
AppWizard
June 13, 2026

As a longtime Android privacy nerd, here are 6 privacy apps I actually regret installing

The author shares experiences with six privacy applications that did not meet expectations. 1. Private Internet Access (PIA): A robust VPN service with a cluttered interface and concerns about its U.S. base; transitioned to NordVPN for a better user experience. 2. Brave Browser: Known for ad and tracker blocking, but had issues with Brave Search reliability, syncing, and battery drain; switched to Firefox with uBlock Origin. 3. LastPass: A former leading password manager that lost trust due to security breaches; moved to Bitwarden for its solid and secure platform. 4. KeePassDX: Impressive for local storage and clean UI, but lacked cloud syncing and required manual password management; eventually chose Bitwarden for convenience. 5. OpenBoard: A privacy-focused keyboard app that is no longer available on Google Play; basic features and installation hassles led to regret over its use; better alternatives exist. 6. OsmAnd: An open-source offline navigation app with extensive customization but a steep learning curve and rigid address searches; now prefers Organic Maps for ease of use.
В Windows On 11th, an official feature for disabling internet search will appear.
Winsage
June 7, 2026

В Windows On 11th, an official feature for disabling internet search will appear.

Microsoft is introducing new settings for Windows 11 that allow users to completely deactivate the Bing search engine within the system menu. This update addresses the issue of local files being mixed with internet search results, which has caused confusion and slowed device performance. Previously, users had to modify the system registry or use third-party tools to disable this integration. The new feature includes an official toggle in the privacy settings and will also allow users to eliminate app recommendations from Microsoft Store search. This change aims to ensure that system searches are strictly local, improving speed and reducing RAM consumption. The updates are driven by new legislative requirements in Europe for greater user choice and are expected to be available in upcoming benchmark builds.
Accelerating developer productivity in the agentic AI era with Amazon Aurora PostgreSQL
Tech Optimizer
June 2, 2026

Accelerating developer productivity in the agentic AI era with Amazon Aurora PostgreSQL

Pravin, who leads engineering for Amazon Aurora, shared an anecdote about his son and friends using AI-assisted coding tools to develop an app without needing to worry about database setup. Elizabeth from AWS Databases noted that teams can now deliver projects in days instead of months, with a broader demographic of builders, including analysts and designers. Engineers in Pravin's organization are creating agents that significantly reduce on-call work, and product managers are drafting documents more efficiently. Aurora aims to address the challenges posed by rapid development changes by adhering to three core principles: meeting developers where they work, absorbing workload variability, and growing with applications. Aurora PostgreSQL is integrated into AI coding tools, allowing developers to set up databases quickly. It features a serverless model that automatically scales to meet fluctuating demands, accommodating workloads from small projects to large-scale applications. The database supports existing tools and frameworks, ensuring compatibility and easing migration challenges. Examples of successful transitions to Aurora PostgreSQL include SurveySparrow, which achieved cost savings and improved query latency, and Netflix, which reported significant performance improvements. Aurora's flexibility allows developers to use both serverless and provisioned instances within the same cluster, optimizing operations without data migration. It also provides options for tuning performance and maintaining an up-to-date database with minimal disruption. Aurora Global Database enables applications to expand across regions without overhauling the data layer, supporting cross-region disaster recovery and low-latency reads. Companies like S&P Dow Jones Indices and DraftKings have successfully leveraged Aurora to support their growth and operational needs. Aurora PostgreSQL is designed to empower developers, facilitating innovation across various project scales.
"Minimize downtime and simplify troubleshooting": Microsoft's powerful new recovery tool is quietly fixing System Restore. Here's how it actually works.
Winsage
May 6, 2026

“Minimize downtime and simplify troubleshooting”: Microsoft’s powerful new recovery tool is quietly fixing System Restore. Here’s how it actually works.

System Restore is a recovery tool in Windows that allows users to revert their systems to a previous state, originating with Windows ME. It generates restore points that can be created manually or automatically, with a maximum retention of 60 days starting from the Windows 11 24H2 update in 2025. System Restore captures essential system files and settings but does not recover personal files. The new Point-in-Time Restore feature, introduced in 2025 and appearing in the Windows 11 Insider Experimental preview in April 2026, captures a broader range of data, including user files and applications, and operates on a scheduled basis with snapshots retained for up to 72 hours. It is optional for standard users, enabled by default for PCs with 200GB or more storage, and has storage limits set to 2% of total drive capacity. In enterprise settings, it is always enabled for Windows 365 Enterprise, maintaining restore points for up to one month and utilizing cloud storage. Point-in-Time Restore aims to improve the recovery experience and address limitations of the classic System Restore.
Why Postgres wants NVMe on the hot path, and S3 everywhere else
Tech Optimizer
April 17, 2026

Why Postgres wants NVMe on the hot path, and S3 everywhere else

Efforts to merge storage roles into a single solution are ongoing, particularly with Amazon S3's durability and cost-effectiveness. In PostgreSQL, achieving a durable commit requires flushing the Write-Ahead Log (WAL) before signaling transaction completion, which can take tens of microseconds on high-performance NVMe drives but extend to milliseconds on slower storage. This latency impacts Online Transaction Processing (OLTP) systems and user response times. Benchmark studies show that systems with faster local storage outperform those with slower alternatives as workloads exceed memory capacity. The fsync operation in PostgreSQL is a commitment rather than a simple write, with enterprise-grade SSDs performing better due to power-loss protection. Read operations also face challenges, as PostgreSQL's need for small, latency-sensitive reads conflicts with S3's design for larger, higher-latency requests. As the working set exceeds memory, storage latency becomes a critical performance factor. Modern managed PostgreSQL systems typically do not place object storage in the critical commit path, instead maintaining a fast log or cache close to the database while relegating colder data to remote storage. Recent PostgreSQL developments, such as asynchronous I/O support in version 18, aim to leverage fast storage more effectively. S3 is valuable for tasks like WAL archiving and backups, but these should be kept separate from the commit path to avoid resource contention. The solution involves using both NVMe and S3, with fast storage managing commits and cache misses, while object storage handles archives and backups. PostgreSQL performs best when hot and cold storage functions are clearly delineated.
True enterprise sovereignty is more approachable than ever, thanks to K8s-powered cloud-neutral PostgreSQL
Tech Optimizer
April 8, 2026

True enterprise sovereignty is more approachable than ever, thanks to K8s-powered cloud-neutral PostgreSQL

Discussions on digital sovereignty are shifting from infrastructure to databases, driven by geopolitical pressures in Europe. Hyperscalers like Amazon and Microsoft are investing heavily to comply with new regulations, prompting organizations to reconsider their reliance on managed cloud services. Many enterprises are now viewing PostgreSQL as a portable, cloud-neutral foundation to ensure consistent behavior across various environments, leading to interest in Sovereign DBaaS. Gabriele Bartolini, VP and Chief Architect of Kubernetes at EDB, emphasizes that true sovereignty starts with the database and that portability enhances negotiating leverage and compliance. Bartolini warns that while managed cloud services offer convenience, they often sacrifice control. He notes that transitioning away from these services can provide long-term leverage, as evidenced by Microsoft's encouragement for customers to run self-managed PostgreSQL. The Operator Pattern in Kubernetes enables better database management and lifecycle control, with CloudNativePG exemplifying this approach. Bartolini asserts that owning hardware allows organizations to better manage costs, especially for resource-intensive AI workloads, and that moving to bare metal can significantly enhance performance. A cultural shift is necessary for success, with DBAs needing to adapt to cloud-native environments. Bartolini encourages DBAs to develop a broader understanding of Kubernetes to enhance collaboration across teams. He warns that the database team cannot drive change alone and must align with the entire infrastructure direction to avoid dependency on proprietary tools that limit independence and innovation.
Part 2 – Babylon.js 9.0: Tooling updates and new geospatial features
Winsage
March 30, 2026

Part 2 – Babylon.js 9.0: Tooling updates and new geospatial features

Babylon.js 9.0 introduces several significant enhancements: - The Babylon.js Editor has improved rendering capabilities and functionality, providing an artist-friendly environment for building experiences on Windows, macOS, and Linux. - Inspector v2 is a complete overhaul of the debugging tool with a modern architecture, supporting custom extensions and a React-based UI. - The Lightweight Viewer has enhanced shadow rendering features and simplifies embedding 3D content on web pages. - The Playground has received upgrades including multi-file editing, ESM module imports, and local session history, along with automatic saving to local storage. - Large World Rendering and Floating Origin systems address precision loss in expansive scenes, ensuring smooth rendering and physics interactions. - The Geospatial Camera allows intuitive navigation of spherical planets with various interactive features and integrates with Large World Rendering. - Babylon.js now supports 3D Tiles for efficient visualization of large geospatial datasets, enhancing map data rendering capabilities. - A new Physically Based Atmosphere addon enhances realism in sky rendering using advanced scattering models. These updates aim to empower developers in creating stunning digital experiences.
Building a High-Performance Postgres Time Series Stack with Iceberg
Tech Optimizer
March 19, 2026

Building a High-Performance Postgres Time Series Stack with Iceberg

Postgres extensions, specifically pg_lake, pg_partman, and pg_incremental, provide a vendor-agnostic, open-source solution for managing high-performance time series data. PostgreSQL serves as the foundation, while pg_partman automates time partition management, pg_lake connects Postgres with data lakes for offloading cold data, and pg_incremental processes append-only data in batches. These extensions are maintained by the Postgres team at Snowflake. An example system for monitoring temperature readings uses local storage for recent data and transitions cold data to an Apache Iceberg table on S3. The process includes creating a partitioned table in Postgres, establishing an Iceberg table, using pg_incremental for data appending, eliminating old partitions with pg_partman, and querying from both local and cold tables to optimize storage and costs. A time-partitioned table enhances performance by allowing efficient deletion of outdated data, speeding up queries, and reducing fragmentation.
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