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dbForge 2026.2 Adds a PostgreSQL Debugger, Visual Object Editors and Broader Context for dbForge AI Assistant
Tech Optimizer
October 11, 2026

dbForge 2026.2 Adds a PostgreSQL Debugger, Visual Object Editors and Broader Context for dbForge AI Assistant

Devart has released dbForge 2026.2, a unified database management ecosystem for PostgreSQL developers, featuring an embedded PostgreSQL Debugger that allows for efficient error tracking in server-side code. The Debugger enables breakpoints, step-through code execution, and real-time monitoring of variables and query results. Visual editors for PostgreSQL event triggers, functions, and procedures have been introduced, allowing for easier management without manual SQL writing. The dbForge AI Assistant now offers expanded context awareness, enabling users to attach various documents and select from multiple AI models for generating relevant SQL code. A free Express edition of the AI Assistant is available, with limited features compared to paid plans. Additionally, new SQL refactoring commands and schema comparison improvements have been implemented, along with updates for compatibility with MySQL 26.7 and MariaDB 13.x.
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.
Query Plan Hints in PostgreSQL 19: A New Postgres Feature You Will Probably Never Need
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.
DBtune autonomous optimization blows PostgreSQL bottlenecks away
Tech Optimizer
October 10, 2026

DBtune autonomous optimization blows PostgreSQL bottlenecks away

DBtune, a startup based in Malmö/Lund, Sweden, was founded in 2020 by Dr. Luigi Nardi as a spin-off from Stanford University and Lund University. The company focuses on enhancing PostgreSQL's capabilities through autonomous database optimization technology and has raised .4 million in a seed round from various investors in July 2023, with support from the Wallenberg Foundation and Vinnova. DBtune's technology utilizes agentic AI for optimizing PostgreSQL databases by tuning server parameters, optimizing indexes, and monitoring autovacuum processes. The release of DBtune version 4.0 incorporates machine learning and AI to dynamically adjust server parameters and suggest optimal indexing strategies. The platform identifies and ranks potential index opportunities based on workload and provides recommendations for new indexes and maintenance of existing ones. A case study with Midwest Tape demonstrated a 10.8x performance improvement in database query runtime after employing DBtune for performance tuning. Benchmarking tests showed a transaction throughput increase of 87% during initial optimization, with a further 17% improvement on an already optimized system. Disk I/O activity was reduced by 43%, and WAL generation decreased by 23%. Dr. Nardi emphasizes the need for AI-driven optimization to manage the complexities of PostgreSQL databases and rising cloud costs, suggesting that significant code adaptations will be necessary for achieving fully autonomous PostgreSQL.
Microsoft tries to spark new life into Windows
Winsage
October 10, 2026

Microsoft tries to spark new life into Windows

Microsoft is evolving its vision for Windows by transforming the operating system into an agentic platform that integrates AI agents and hybrid intelligence, utilizing local models instead of relying solely on cloud solutions. CEO Satya Nadella highlighted this transition as a new era for the Windows ecosystem, emphasizing security, identity, and management features aimed at both AI developers and everyday users. Windows chief Pavan Davuluri showcased local AI models, including GitHub Copilot, and introduced the Surface Laptop Ultra, which is powered by Nvidia’s RTX Spark chips and designed for developers and creators. The Surface Laptop Ultra starts at ,599 and can reach up to ,999, positioning itself as a premium device. Microsoft also unveiled a redesigned Windows Search interface aimed at enhancing user experience, although no significant advancements for Windows 12 were announced. The company recognizes the need to demonstrate practical advantages for regular users to maintain Windows' relevance in a changing computing landscape, especially as AI agents on cloud-based Linux virtual machines pose a challenge to Windows' dominance.
"Really not bad at all" — Surface Laptop Ultra prices have landed, and the Windows community has something to say
Winsage
October 9, 2026

“Really not bad at all” — Surface Laptop Ultra prices have landed, and the Windows community has something to say

Microsoft announced the Surface Laptop Ultra on October 7, with shipping starting on October 16 and preorders available at a starting price of ,599. It is the most affordable high-performance laptop featuring the RTX Spark technology, with many expecting a higher starting price of ,999. The device offers two configurations: one with an 18-core CPU and 5120-core GPU, and a higher-end model with a 20-core CPU and 6144-core GPU, with a price difference of approximately ,100 between them. The Surface Laptop Ultra includes a breakaway USB-C port that detaches if tripped over, which has received positive feedback, although some critics view it as a late adaptation of existing technology.
silver Android smartphone
Winsage
October 9, 2026

“Really not bad at all” — Surface Laptop Ultra prices have landed, and the Windows community has something to say

Microsoft announced the Surface Laptop Ultra on October 7, revealing that it will ship on October 16 and is available for preorder starting at ,599. It is the most affordable RTX Spark laptop on the market, with analysts initially expecting a starting price of ,999. The device offers two configurations: one with an 18-core CPU and a 5120-core GPU, and a more powerful version with a 20-core CPU and a 6144-core GPU, with a price difference of approximately ,100 between them. The Surface Laptop Ultra features a breakaway USB-C port that allows the cable to detach without pulling the laptop off a desk, compatible with any USB-C cable and supporting both power and data transfer.
Amazon announces Alexa Tablets — An all-new line running full Android with the Google Play Store
AppWizard
October 8, 2026

Amazon announces Alexa Tablets — An all-new line running full Android with the Google Play Store

Amazon has introduced a new lineup of tablets focused on the Alexa Plus experience, including the Alexa Tablet 8, Alexa Tablet 11, and Alexa Tablet 12 Pro, which run on Android 16 and provide access to the Google Play Store. The tablets feature: - Alexa Tablet 8: 8-inch display, resolution of 1340 x 800 at 60 Hz, storage options of 64 or 128 GB, powered by an 8-core MediaTek MT8189 CPU with 4 GB or 8 GB RAM. - Alexa Tablet 11: 11-inch display, resolution of 2560 x 1600 at 90 Hz, storage options of 64 or 128 GB, powered by an 8-core MediaTek MT8189 CPU with 8 GB RAM. - Alexa Tablet 12 Pro: 12-inch display, resolution of 2800 x 1840 at 120 Hz, available in glossy or Nanomatte finishes, storage options of 128 or 256 GB, powered by a MediaTek MT8793N CPU with 8 GB or 16 GB RAM. The 8- and 11-inch models support WiFi 6, while the 12-inch Pro model supports WiFi 6E. Pricing starts at .99 for the 8-inch and 11-inch models, and 9.99 for the 12-inch Pro model, with additional costs for ad removal and storage upgrades. Kids’ versions are also available, including a protective case and a one-year subscription to Amazon Kids+. All tablets will ship on October 14 and be available in multiple countries, including the US, UK, Germany, Canada, Japan, France, Italy, Spain, and Australia.
From searching to doing: Building a faster, more streamlined Windows Search
Winsage
October 8, 2026

From searching to doing: Building a faster, more streamlined Windows Search

Search functionality is essential for navigating Windows PCs, and enhancements to the Windows Search Box were initiated in July to declutter the interface and improve user control. A new Windows Search experience powered by WinUI 3 will be available on the taskbar for Windows Insiders starting October 7, focusing on speed and efficiency with a streamlined design. The user interface has been simplified into a single list format, and improvements include better matching for typos and synonyms. Future updates will introduce inline previews, richer file details, and the ability to filter results. Inline actions will allow users to complete tasks directly from the search interface, such as toggling settings and managing their workspace. There are plans to integrate the new search experience into the Start menu and enhance its capabilities further. The new search experience is rolling out to Windows Insiders in the Experimental channel, with English as the initial supported language. Feedback can be shared through the Feedback Hub.
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