agents Archives

Winsage

October 12, 2026

Windows 11 24H2 hits end of updates Oct. 13: What you should do now

Windows 11 version 24H2 for Home and Pro systems will stop receiving security updates on October 13, 2026. After this date, these editions will not receive any updates or technical support, although they will still boot. Windows 11 Enterprise, Education, IoT Enterprise, and Enterprise multi-session editions will continue to receive support until October 12, 2027. Organizations are advised to verify their systems' versions and editions, especially for those without endpoint management systems. Windows 11 25H2 and 26H2 are available as upgrade options, with 25H2 supported until October 12, 2027, and 26H2 supported until October 10, 2028, for Home and Pro editions. The rollout of 26H2 will be phased, and safeguard holds may be implemented if compatibility issues are detected. Unmanaged Home and Pro devices on 24H2 will automatically receive 25H2, while managed devices may require IT intervention. Regular monitoring and proactive management of Windows versions are necessary to ensure compliance and avoid future deadlines.

Tech Optimizer

October 11, 2026

Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake

Amazon has introduced a new capability for Amazon Aurora PostgreSQL that allows users to query operational data alongside data stored in data lakes formatted in Apache Iceberg and Apache Parquet. This feature enables direct access to Iceberg REST Catalog-compatible catalogs, eliminating the need for data duplication or relocation. The integration of DuckDB within Aurora PostgreSQL allows users to query live operational data, including uncommitted writes, alongside data from data lakes using standard PostgreSQL syntax. This capability is available on Aurora PostgreSQL versions 17 (starting with 17.11) and 18 (starting with 18.6). Users must create an Aurora PostgreSQL cluster, attach an IAM role with the AuroraAnalytics feature, and enable the aurora_analytics extension to utilize this feature. They can create foreign tables referencing Iceberg or Parquet data in the data lake, and query them using familiar PostgreSQL commands. Aurora optimizes query performance through techniques like predicate pushdown and column pruning, and users can monitor query behavior with metrics provided by aurora_analytics_stat_statements(). Direct querying of Apache Iceberg and Parquet data is available across all commercial AWS Regions and AWS GovCloud (US) Regions without additional charges, aside from incremental Aurora compute and Amazon S3 request costs.

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.

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.

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.

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.

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.

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.

Winsage

October 9, 2026

Jensen Huang remembers Windows early days, crediting Microsoft, says that ‘Nvidia was founded because of Windows’; CEO Satya Nadella jokes: If you could just do a little transfer of…

Nvidia CEO Jensen Huang stated that Nvidia was founded due to the introduction of Windows 3.1 in 1992, which laid the groundwork for GPUs. He highlighted that Windows 95 and DirectX allowed for the integration of GPUs into PCs, with DirectX 8 enabling the creation of the first programmable GPU featuring programmable shaders, leading to CUDA. Huang emphasized that without Windows, there would be no GeForce, and consequently, AI researchers might not have had the necessary computational resources for deep learning. The conversation also touched on a four-year collaboration between Nvidia and Microsoft that resulted in the RTX Spark project, which required over 4,000 engineering years and extensive testing across more than 1,200 applications. Laptops featuring RTX Spark are available for preorder, with shipments starting on October 16.

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.