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Microsoft: Windows 11 24H2 Home and Pro reached end of support
Winsage
October 14, 2026

Microsoft: Windows 11 24H2 Home and Pro reached end of support

Devices operating on the Windows 11 24H2 Home and Pro editions have reached their end of support as of October 13, 2026, meaning they will no longer receive monthly security updates or non-security preview updates. In contrast, the Windows 11 24H2 Enterprise and Education editions will continue to receive mainstream support until October 12, 2027. Microsoft encourages users to transition to Windows 11 26H2, which will be supported until October 2029. The rollout of Windows 11 26H2 is phased and will expand over the next few months. Additionally, systems running Windows 11 23H2 Enterprise, Education, and IoT Enterprise editions will cease to receive security updates in 30 days after the end of support for Windows 11 23H2 Home and Pro editions in November 2025. Windows Server 2022 has also reached the end of its mainstream support but will remain under extended support until October 2031. Users are advised to upgrade unsupported versions of Windows to continue receiving security updates.
Microsoft Patches Record 1,413 Vulnerabilities, Including Exploited Windows Zero-Day
Winsage
October 14, 2026

Microsoft Patches Record 1,413 Vulnerabilities, Including Exploited Windows Zero-Day

Microsoft's October 2026 Patch Tuesday updates addressed 1,413 vulnerabilities, including 1,102 in Windows, 134 in Office applications, 61 in developer tools, and 36 related to SharePoint Server. This total surpasses the vulnerabilities fixed by Microsoft in all of 2025, with over 4,000 vulnerabilities resolved in 2026. A critical zero-day vulnerability, CVE-2026-96951, with a CVSS score of 8.8, was also patched; it allows attackers to bypass Windows shell security features. The Cybersecurity and Infrastructure Security Agency (CISA) has included this vulnerability in its Known Exploited Vulnerabilities catalog. Additionally, two publicly disclosed vulnerabilities were patched, and Microsoft introduced 'risk cohorts' to help manage security updates.
OpenAI's own advice during its October 9 Android outage: use ChatGPT on the web
AppWizard
October 12, 2026

OpenAI’s own advice during its October 9 Android outage: use ChatGPT on the web

On the evening of October 9, users attempting to access ChatGPT on Android devices encountered the message "This content is unavailable in this version of the app" due to an issue from OpenAI. The problem began at 21:00:39Z and lasted for three hours and 26 minutes, concluding at 00:26:44Z on October 10. OpenAI advised users to switch to the web version while they worked on a fix for older app versions. A second major incident occurred 48 minutes later, locking workspace administrators out of plugin settings from 21:48:34Z to 23:26:59Z on October 9, totaling one hour and 38 minutes. Both incidents overlapped entirely, with the Android issue persisting for an additional hour after the admin issue was resolved. As of 21:42 UTC on October 10, a third minor incident regarding "Delayed Costs data in the Compliance API" remained unresolved, having started at 17:23:18Z on October 9. OpenAI reported that some customers might experience incomplete Costs data while the backlog was addressed, with the catch-up process expected to continue through October 11. ChatGPT usage and API Platform requests were unaffected, and the overall status was designated as "Partial System Degradation." Additionally, a more significant outage occurred on September 29, lasting five hours and 22 minutes and affecting 30 components, which was more extensive than the incidents on October 9. Neither of the major incidents on October 9 impacted the API.
Android Automotive vs. Google Built-in: How Google’s Two Car Platforms Actually Differ
BetaBeacon
October 12, 2026

Android Automotive vs. Google Built-in: How Google’s Two Car Platforms Actually Differ

- Google Built-in is a package of Google apps that carmakers license and add on top of their Android Automotive systems, providing access to Google Maps, the Google Play Store, and Gemini. - Gemini is officially taking over from Google Assistant as the voice assistant across 16 car brands, offering features such as real-time traffic updates, EV-specific routing, smart navigation, and the ability to check email, build playlists, and order dinner. - Not every automaker wants to use Google's assistant, with some like Ford and Rivian investing in building their own AI assistants. - Some drivers are skeptical of native systems like Google Built-in, believing that the motive behind them is new revenue rather than a better driving experience.
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.
AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data
Tech Optimizer
October 10, 2026

AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data

Amazon Web Services Inc. has enhanced its Aurora PostgreSQL database management system to allow users to query the Apache Iceberg data lake directly. This feature integrates the DuckDB analytical engine, enabling seamless access to live transactions and historical records without data duplication or complex ETL processes. Customers can use existing PostgreSQL applications to query data in Amazon S3, including S3 Tables. The integration aims to reduce the engineering workload associated with data pipelines and supports real-time applications. DuckDB processes analytical scans within Aurora, eliminating extra network hops and allowing single queries to access both live and archived data. The feature supports external catalogs compliant with the Iceberg REST Catalog specification and can create foreign tables referencing data across multiple catalogs. Aurora optimizes query performance by filtering records and caching frequently accessed data. Customers can combine recent transactions in Aurora with historical data from S3 without manual schema definitions. For low-latency workloads, selected data can be copied into native Aurora tables using standard SQL. This capability requires the aurora_analytics extension and an AWS IAM role for S3 and Glue access, and is compatible with Aurora PostgreSQL versions 17.11 and 18.6. The feature is available across all AWS regions at no additional charge, with costs incurred only for Aurora computing resources and S3 requests.
AWS Embeds DuckDB in Aurora PostgreSQL, Enabling Direct Data Lake Queries Without ETL
Tech Optimizer
October 10, 2026

AWS Embeds DuckDB in Aurora PostgreSQL, Enabling Direct Data Lake Queries Without ETL

Amazon Web Services (AWS) has integrated the open-source analytics engine DuckDB into its Amazon Aurora PostgreSQL database, allowing users to query Apache Iceberg tables and Parquet files directly from data lakes without traditional ETL processes. This feature, announced on September 30, 2026, enables seamless access to both operational and historical data in a single SQL statement. Users can enable the aurora_analytics extension, assign an IAM role for S3 and AWS Glue access, and create external tables using standard PostgreSQL syntax. The integration supports Iceberg tables managed by AWS Glue Data Catalog, Iceberg REST Catalog-compatible external catalogs, Parquet files on S3, and S3 Tables. Performance optimizations include predicate pushdown and column pruning on the data lake side, with caching for frequently accessed data. This feature is available for Aurora PostgreSQL versions 17.11 and later, and 18.6 and later, across all commercial regions and AWS GovCloud (US), with no additional charges beyond Aurora compute and S3 request fees. In a separate development, AWS has a significant contract with AI company Anthropic, anticipating billion in cloud-related contractual obligations over several years, with approximately billion projected to be paid to Amazon from a 10-year agreement announced in April 2026. Anthropic's revenue has shown impressive growth, with first-quarter 2026 revenue reaching 0 million and second-quarter revenue at .8 billion. However, risks are present, as a significant portion of Anthropic's revenue comes from a few customers, and many larger clients lack long-term contracts. Amazon has invested .8 billion in Anthropic, with its stake valued at approximately billion as of June 2026.
Supabase Announces $150M in New Funding and Turso Acquisition
Tech Optimizer
October 10, 2026

Supabase Announces $150M in New Funding and Turso Acquisition

Supabase has secured 0 million in funding led by GIC, with participation from Alphabet's CapitalG, IronArc, and SquarePeg. This follows a million Series F round four months earlier. Supabase has acquired Turso, a platform for managing databases for agentic workloads, to enhance its product development and provide liquidity for employees. The company is adding over 1 million users and 4 million databases monthly, with 70% created by AI-driven tools, reflecting a 600% year-over-year increase in databases. Turso's architecture allows for on-demand provisioning of databases in public cloud and BYOC setups. Glauber Costa, founder of Turso, will become Head of Agentic Services at Supabase. Supabase, established in 2020, supports over 13 million developers with a comprehensive backend solution.
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