database Archives

Tech Optimizer

June 10, 2026

Tiger Data launches Ghost managed PostgreSQL service for AI agents

Tiger Data has launched Ghost, a managed PostgreSQL service designed for AI agents, providing infrastructure for coding and workflow agents to conduct large-scale experiments. The service features Fluid Storage, which uses a copy-on-write methodology to optimize storage efficiency and reduce costs by charging users only for modified data. Ghost also includes a "fast forking" capability, allowing users to quickly duplicate datasets for experimental environments. It is compatible with major PostgreSQL extensions like TimescaleDB and PostGIS. The pricing model is usage-based, charging users based on actual computing consumption rather than the number of databases created.

Tech Optimizer

June 9, 2026

Tiger Data launches PostgreSQL extension designed for AI agents

Tiger Data has launched a managed PostgreSQL database service called Ghost, designed for AI agents, addressing the limitations of traditional database architectures for autonomous software. The service is now generally available and allows agents to create unlimited databases quickly through a feature called "fast forking." Ghost utilizes Tiger Data's Fluid Storage technology, which employs a copy-on-write storage layer, enabling multiple database instances to share data blocks while charging users only for changed data. The service supports popular PostgreSQL extensions and is positioned as an evolution of PostgreSQL, maintaining its compatibility with the existing ecosystem. Tiger Data has raised 0 million in funding and employs 200 individuals across 25 countries.

Tech Optimizer

June 9, 2026

Tiger Data Launches Ghost, a Purpose-Built Database Service for the Agentic Era

Tiger Data has launched Ghost, a database service designed specifically for AI agents, addressing the limitations of traditional databases in supporting AI-driven workflows. Ghost allows for isolated environments where agents can experiment without affecting shared resources, offering unlimited Postgres databases with rapid forking capabilities. It features a cost-effective per-query pricing model and includes a free tier with 100 compute hours per month and 1TB of storage. Ghost is compatible with various MCP-enabled agent harnesses and is built on Postgres, providing a familiar operational model for teams. Comprehensive documentation and deployment resources are available at tigerdata.com.

Winsage

June 8, 2026

Microsoft answers what you must do as Windows 11 Secure Boot deadline hits in days

The expiration date of the original Microsoft Secure Boot KEK certificate is June 24, 2026. Microsoft held a live "Ask Microsoft Anything" session on June 4 to address concerns regarding this deadline. The expiration affects the KEK key, while the DB key remains valid until October. After June 24, Microsoft will not be able to sign new DBX payloads, which are necessary for revoking compromised bootloaders. Devices without the new KEK may miss future revocations, leading to decreased security but will not stop booting immediately. The June Patch Tuesday update is expected to classify most systems as high confidence. IT administrators are advised to use the Intune monitoring report for device status and updates. Devices in a "temporarily paused" status require OEM firmware updates. Administrators should not delay manual rollouts for devices outside the high confidence classification. Secure Boot must be enabled to update certificates, and re-enabling it later can pose risks. Older models may receive high confidence classification faster than newer ones due to statistical requirements. In PXE boot environments, caution is needed when updating bootloaders. The Secure Boot update mechanism is consistent across Windows 10 and 11, and event logs are important diagnostic tools. Key event log entries include 1801, 1802, and 1803, which indicate various device statuses and issues. Microsoft provides resources at aka.ms/GetSecureBoot for further guidance.

AppWizard

June 8, 2026

5 apps you should use instead of NotebookLM

NotebookLM is a leading AI research assistant and note-taking application, but there are several alternatives available. In a recent poll, user preferences for alternatives were as follows: OpenNotebook (31%), Obsidian (19%), Recall AI (6%), Notion (0%), Atlas (0%), and 44% preferred NotebookLM. Notion allows users to create a knowledge database and excels in managing interconnected databases, while NotebookLM focuses on analyzing research and generating audio summaries. Obsidian offers a customizable knowledge management system with a knowledge graph for organizing ideas. Recall AI serves as a self-organizing knowledge database that summarizes information into searchable cards and includes a quiz-making feature. Atlas is tailored for academic research, emphasizing accurate source citations and creating visual data representations. OpenNotebook mirrors NotebookLM's functionalities, allowing users to upload sources for AI-generated responses and offers audio summaries, but requires local or online hosting and technical proficiency.

Tech Optimizer

June 8, 2026

Pentasystem partners with EDB to target sovereign AI with EDB PostgreSQL database

Pentasystem Technology has partnered with EDB to enhance enterprise-grade data management using the EDB PostgreSQL database. This partnership, announced on June 8, aims to provide cost-effective and stable database solutions amidst rising costs from existing database management systems. Pentasystem plans to explore projects related to cloud computing, artificial intelligence, and data warehousing, focusing on creating a comprehensive integrated data platform. Jong-jun Jang, CEO of Pentasystem, noted the synergy between EDB's technology and Pentasystem's implementation expertise, aiming to deliver improved performance and cost savings to clients in various sectors.

Tech Optimizer

June 7, 2026

Implementing real-time change data capture with Debezium for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL now support native streaming replication, allowing data changes to flow from source databases. Organizations often struggle to capture and propagate these changes in real time without affecting database performance. Traditional ETL pipelines can introduce significant delays, leading to outdated data and missed opportunities. Debezium is an open-source platform for change data capture (CDC) that monitors databases and streams changes to applications or data pipelines, enabling real-time data synchronization. The CDC solution combines PostgreSQL's logical replication with Debezium's change capture framework, focusing on Amazon Aurora for PostgreSQL. To implement this solution, logical replication must be enabled on Amazon Aurora through DB cluster parameter groups. Debezium connectors monitor the database's Write-Ahead Logging (WAL) via logical replication slots, converting transaction logs into structured event streams. Key components of the solution include: - Amazon Aurora for PostgreSQL as the source database with logical replication enabled. - A Debezium PostgreSQL connector running on MSK Connect for change capture. - Amazon MSK for message streaming. - An Amazon EC2 instance for testing and consuming change events. Steps to implement the solution include: 1. Creating an Amazon Aurora for PostgreSQL DB cluster and enabling logical replication. 2. Creating an Amazon MSK serverless cluster. 3. Setting up an Amazon EC2 instance to install Kafka and connect to the database. 4. Creating a custom plugin for Amazon MSK to replicate changes from RDS for PostgreSQL. 5. Uploading the custom plugin to an Amazon S3 bucket. 6. Storing credentials in AWS Secrets Manager and creating an IAM role for MSK Connect. 7. Testing the solution by verifying data replication and monitoring real-time changes. Monitoring can be done through CloudWatch Logs and the MSK Connect console, addressing common issues like replication slot lag and connector failures. To avoid charges, resources created during the implementation should be deleted in the correct order.

Tech Optimizer

June 6, 2026

PostgreSQL Dump and Restore: The Complete pg_dump Guide

pg_dump is a utility for exporting a PostgreSQL database into a file, which can be restored on the same or different servers. It exports a single database's tables, views, sequences, functions, indexes, triggers, and in-database grants but does not include roles, tablespaces, or server-level configurations. To capture global objects, pg_dumpall --globals-only should be executed prior to the per-database dump. pg_dump requires CONNECT and SELECT privileges on all tables and sequences within the target database, and a dedicated backup role is sufficient for single-database dumps, while superuser access is needed for global objects. pg_dump supports various output formats: plain SQL (.sql), custom binary (.dump), directory of files, and tar archive (.tar), each with different capabilities for restoration and compression. The custom format allows for selective and parallel restoration. For non-interactive use, credentials can be stored in a .pgpass file or passed via the PGPASSWORD environment variable. Restoration methods depend on the dump format: psql is used for plain SQL files, while pg_restore is used for custom and directory formats. The restoration process requires the target database to be created beforehand. Version mismatches between pg_dump and pg_restore can lead to failures, so it's essential to ensure that the binaries are version-matched. In Docker, pg_dump and pg_restore can be executed within containers, but care must be taken to manage credentials and ensure version compatibility. Exit codes from pg_dump should be checked to confirm successful operations.

Tech Optimizer

June 6, 2026

Avast Free Antivirus for Windows and Mac: Core Features Explained

Avast Free Antivirus is a cybersecurity application from Gen Digital that provides malware and phishing protection for Windows and Mac users, specifically targeting home and small office devices. It is available as a free download for personal use, with optional paid upgrades. The software features real-time protection, on-demand scanning, and utilizes cloud-connected threat intelligence to enhance its threat detection capabilities. It serves as a vital security solution for US households and very small businesses, particularly those using older devices. Avast Free Antivirus is part of Gen Digital's portfolio, which includes other brands like Norton and AVG, and competes with built-in security tools and other antivirus solutions in the market.

Tech Optimizer

June 6, 2026

Implementing real-time change data capture with Debezium for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL support native streaming replication, allowing data changes to flow from source databases. Organizations often struggle with real-time data capture and dissemination, leading to outdated information due to traditional batch ETL pipelines. Debezium is an open-source platform for change data capture (CDC) that streams database changes to applications or data pipelines in real time. The CDC solution utilizes PostgreSQL's logical replication capabilities and Debezium's framework. Key components include Amazon Aurora for PostgreSQL as the source database, a Debezium PostgreSQL connector on MSK Connect, Amazon MSK for message streaming, and an Amazon EC2 instance for testing. To implement the solution, users must enable logical replication on Amazon Aurora, create an Amazon MSK cluster, set up an EC2 instance with Kafka, and create a custom plugin for MSK Connect. The process involves configuring IAM roles and policies, connecting to the database, and creating an Amazon MSK connector to stream changes. Testing the solution includes verifying real-time changes by inserting, updating, and deleting records in PostgreSQL, with events appearing in Kafka. Monitoring tools are available through CloudWatch for troubleshooting issues like replication slot lag and connector failures. To clean up resources after testing, users should delete the MSK Connect connector, custom plugin, Amazon MSK cluster, Aurora PostgreSQL database instance, EC2 instance, IAM role and policy, Secrets Manager secrets, CloudWatch Logs log group, and S3 bucket.