migration 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.

AppWizard

October 12, 2026

The open-source mobile OS LineageOS upgrades to Android 17, escaping the ecosystem without losing the apps

LineageOS has released version 24, transitioning to Android 17, which includes numerous security patches. The update features a new image editor called Canvas, enhancements to the Android TV launcher Catapult with a battery indicator, and improvements to the music application Twelve for faster loading times. It also expands support to 24 additional devices. A comprehensive list of supported hardware and a downloads page are available in Changelog 32. LineageOS aims to provide a version of Android free from Google's ecosystem, allowing users to reduce bloatware and unwanted services, although some Google-dependent applications may face issues.

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 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.

Tech Optimizer

October 10, 2026

How Telangana’s MeeSeva migration to open source could make governments rethink software costs

In April 2026, Telangana's MeeSeva platform migrated from the Oracle database to the open-source PostgreSQL database after 15 years of reliance on Oracle. This transition aimed to reduce annual costs of approximately ₹10 crore associated with Oracle licensing and maintenance. The initiative began in 2023, and the migration was executed with less than four hours of downtime, processing around 80,000 transactions daily. The migration involved over 85 microservices, three Oracle servers, and 1,939 tables, with the process automated by the Ora2Pg tool, which handled 60-70% of the transition. The migration cost was below ₹10 lakh, and after the switch, MeeSeva processed nearly 200 million transactions without data loss. The new architecture includes automatic failover capabilities to minimize disruption.

Winsage

October 6, 2026

Windows 11 26H2 Delivers 40% Faster Apps for 16 GB Systems; 8 GB Machines Left Behind

Windows 11 version 26H2 was released on September 29, 2026, featuring performance enhancements for users with 16 GB or more of RAM, including a reduction in idle memory consumption by 2–3 GB and a 40% acceleration in application and system interface launches. The update package is 174 kilobytes and activates previously dormant features, resetting the support lifecycle for Windows 11 Home and Pro until October 2028. The Low Latency Profile is a key feature that boosts CPU clock speed temporarily during application launches, resulting in faster interactions, with independent tests showing a 70% improvement in opening the Start menu. Users with 16 GB or more of RAM have reported idle RAM dropping from over 10 GB to around 7 GB after the update. However, users with 8 GB of RAM have experienced minimal improvements and high idle memory utilization. Microsoft is committed to optimizing Windows for 8 GB machines, but early reports suggest limited gains from 26H2.

Winsage

September 29, 2026

Microsoft Retires Windows PowerShell Support for Graph SDK

Microsoft is initiating a 12-month retirement period for support of Windows PowerShell 5.1 for the Microsoft Graph PowerShell SDK due to maintenance challenges. Organizations using Graph PowerShell automation on Windows PowerShell 5.1 may face disadvantages, as existing scripts will remain operational but will miss platform-specific bug fixes. Microsoft encourages a transition to PowerShell 7.x, which will be the focus of Graph PowerShell v3.0, set to launch in Q4 2026. During the retirement phase, Graph PowerShell v2.x will remain operational and receive security updates. Transitioning to the new SDK version may require migration planning, script validation, and runtime upgrades, especially for organizations with dependencies on older PowerShell runtimes or outdated components.

AppWizard

September 29, 2026

Gemini Gems are heading out: Google to replace them with ‘Skills’ in November

Google is transitioning from its Gemini Gems feature to a new functionality called "Skills," effective November 17, 2026. Users can continue to access Gems until the migration occurs. Skills are designed as "reusable custom instructions" that can be stacked and accessed more easily during Gemini chats. Gems were introduced in August 2024 to allow users to create personalized AI experiences. Skills are currently available in Gemini chats for users over 18 with personal accounts, with plans to extend to work and school accounts in the future. Gems have been integrated into Google’s Workspace suite and are accessible on both desktop and mobile platforms. Skills consist of instructions and preferences that teach Gemini how to handle specific tasks.

AppWizard

September 28, 2026

Gemini fully replaces Google Assistant on Android

Google is phasing out its Google Assistant on mobile devices and migrating users to its new voice assistant, Gemini, with the transition expected to be completed by 2026. Reports indicate that the migration is underway in the U.S. and Europe, and Google Assistant has been removed from all checked devices and accounts. The option to switch back to Google Assistant has been removed from the Gemini app, preventing users from accessing the older assistant on mobile devices, tablets, and paired devices. However, Google Assistant remains operational on smart speakers and displays like Google Nest and Google Home. Gemini is now the primary voice assistant on Android devices, activated through a long press of the power button or a swipe from the screen corners. Further developments in Gemini's capabilities are anticipated in the coming months.