required data Archives

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.

Winsage

February 27, 2026

Is Microsoft really spying on you with Windows telemetry?

Windows 10 was released in 2015 and faced criticism for its telemetry feature, which some viewed as a surveillance tool. In 2017, the Dutch Data Protection Authority found Microsoft's telemetry settings non-compliant with local privacy laws, leading to changes by Microsoft. Telemetry, termed diagnostic data by Microsoft, is essential for device reliability and security, with a baseline level of data collection set to "Required." Users can opt to limit data collection to this level. The Optional category of diagnostic data may include device settings and browsing history, raising privacy concerns. Microsoft introduced the Diagnostic Data Viewer in 2018 to enhance transparency, allowing users to inspect the telemetry data sent to them. As of now, Microsoft has over a billion monthly active Windows 11 users.

AppWizard

January 14, 2026

How to delete your OpenAI account in the Android app: Step-by-step guide to permanently remove data, manage subscriptions, and protect your privacy | – The Times of India

OpenAI accounts provide access to the ChatGPT API and related services. Users can delete their accounts through the ChatGPT Android App, but this action is irreversible, meaning all data will be permanently removed and the email address cannot be reused for new accounts. Account deletion ensures the removal of personal information, chat logs, and API usage records, although some data may be retained for legal reasons. The deletion process involves several steps: accessing the app menu, navigating to settings, going to data controls, and confirming the deletion. Users must cancel any active subscriptions separately, as account deletion does not automatically terminate them. After deletion, users will lose access to all OpenAI services, and their account information will be erased within 30 days, except for legally required data retention. Best practices before deletion include backing up important data, canceling subscriptions, and reviewing linked services.

Tech Optimizer

January 6, 2026

How to speed up mass data inserts in PostgreSQL when using Spring

A common task in enterprise systems involves loading large volumes of data into PostgreSQL, which can be slow if using a loop in Java that calls the save() method for each record. Initial tests show that a basic insert operation takes over 10 minutes. Hibernate retains every object in the session-level cache until the transaction concludes, leading to high memory consumption. Enabling batching with the jdbc.batch_size setting improves performance by about 23%, but high memory usage persists. Application-side caching of IDs is faster than database-side caching, achieving a 30% performance gain. Using saveAll() results in minimal improvement as it still calls save() in a loop. Enabling reWriteBatchedInserts in the JDBC driver allows for multi-row inserts, reducing operation time to 4 minutes and 37 seconds. Clearing the session-level cache with EntityManager further optimizes memory usage, resulting in an 18-second time gain. Setting order_inserts=true enhances batching efficiency. With all optimizations, insertion time is reduced to 4 minutes and 19 seconds. A custom data insertion layer can be created to generate INSERT statements, with reflection being a straightforward but not optimal method. Prepared statements improve performance and security, with an efficient batch size of 5,000 records. PostgreSQL's COPY command facilitates faster bulk data transfers than multi-row inserts. Integrating COPY with Spring transactions enhances performance, and parallelizing the insertion process with a ThreadPoolExecutor significantly improves speed and memory usage.

Winsage

September 14, 2025

5 Settings To Disable On Your New Windows 11 Laptop

When setting up a new laptop with Windows 11, users can adjust several settings to enhance performance and privacy. 1. Diagnostic Data: Users can disable the sending of optional diagnostic data by navigating to Settings > Privacy & Security > Diagnostics & feedback. They can also turn off the Tailored experiences feature, delete previously collected data, and set Feedback frequency to Never. 2. Targeted Ads: To minimize targeted ads, users should go to Settings > Privacy & Security > General and toggle off the option for apps to show personalized ads using the Advertising ID. They can also disable tracking for app launches and hide suggested content. 3. Annoying Notifications: Users can manage notifications by going to Settings > System > Notifications and unchecking options like Get tips and suggestions when using Windows and Show the Windows welcome experience after updates. They can also customize notifications from specific apps. 4. Widgets: To disable widgets, users should go to Settings > Personalization > Taskbar items and toggle off the Widgets option. They can also customize the panel by hiding specific widgets. 5. Search Highlights: Users can turn off the search highlights feature by navigating to Settings > Privacy & Security > Search permissions and disabling the Show search highlights toggle.

Winsage

July 11, 2024

7 ways Windows 11 collects your data — and how to opt out

Microsoft collects required data for Windows operation, including basic details of the device and diagnostic data for system failures. Optional data collected includes browsing history, connected devices, inking and typing, product and service performance, product and service usage, software setup and inventory, and location. Users can opt out of optional data collection by navigating to Settings > Privacy & security > Diagnostics & feedback and toggling the relevant options to Off. To view the data collected by Windows 11, users can install the Diagnostic Data Viewer app from the Microsoft Store.