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PostgreSQL 18 on Amazon Aurora and Amazon RDS: Performance enhancements
Tech Optimizer
June 20, 2026

PostgreSQL 18 on Amazon Aurora and Amazon RDS: Performance enhancements

PostgreSQL 18 addresses common performance challenges for users, including managing query performance across composite indexes, diagnosing memory spills in materialized Common Table Expressions (CTEs), and upgrading major versions without plan regressions. Key enhancements include skip scan optimization for multicolumn indexes, improved EXPLAIN functionality, and optimizer statistics that persist through major version upgrades. Skip scan optimization allows PostgreSQL to efficiently utilize multicolumn B-tree indexes even when leading columns are not specified in the WHERE clause, significantly improving query performance. The EXPLAIN command has been enhanced to include buffer statistics by default, providing deeper insights into query execution and resource usage. PostgreSQL 18 also introduces visibility into the storage of materialized nodes in query plans, indicating whether intermediate results were stored in memory or spilled to disk. A new metric, Index Searches, has been added to EXPLAIN ANALYZE output, indicating how many times the database traversed the index tree during query execution. Additionally, Self-Join Elimination (SJE) automatically detects and removes unnecessary inner joins of a table to itself, optimizing query performance. The autovacuum mechanism has been improved with the introduction of autovacuum_vacuum_max_threshold, which caps the number of dead tuples that can accumulate before autovacuum triggers a VACUUM, addressing issues with large tables. The vacuum_truncate parameter provides a server-wide control point to disable VACUUM’s file truncation behavior, reducing locking issues on busy systems. PostgreSQL 18 also separates the allocation of autovacuum worker slots from their usage, allowing for dynamic adjustments to autovacuum_max_workers without requiring a server restart. Finally, new columns in pg_stat_all_tables track cumulative time spent on maintenance operations, providing better insights into maintenance overhead for each table.
TigerFS Mounts PostgreSQL As Transactional Filesystem
Tech Optimizer
May 3, 2026

TigerFS Mounts PostgreSQL As Transactional Filesystem

TigerFS is an open-source project introduced on April 4, 2026, by Michael Freedman, the CTO of TigerData. It allows users to mount a PostgreSQL database as a POSIX-like filesystem, storing database rows as individual files while ensuring ACID guarantees. Key features include an MIT license, support for both file-first and data-first workflows, mounting options using FUSE on Linux and NFS on macOS, and integration with standard Unix tools.
Kafka Has Become the Postgres of Streaming — And That Changes Everything
Tech Optimizer
April 27, 2026

Kafka Has Become the Postgres of Streaming — And That Changes Everything

Recent advancements in data visualization technologies are enhancing how businesses and researchers interpret large datasets. Key trends include the integration of artificial intelligence (AI) into visualization tools, which allows for automatic generation of visual representations and reduces the expertise needed for data analysis. Interactive visualizations are becoming more common, enabling real-time data manipulation and deeper understanding. Augmented reality (AR) and virtual reality (VR) applications are also emerging, providing immersive three-dimensional perspectives of data. These developments are being adopted across various industries, including healthcare and finance, to improve decision-making and operational efficiency.
The 5 Biggest Cybersecurity Threats to Watch in 2026: Is Your Business Safe From These Looming Dangers? - Travel And Tour World
Tech Optimizer
February 19, 2026

The 5 Biggest Cybersecurity Threats to Watch in 2026: Is Your Business Safe From These Looming Dangers? – Travel And Tour World

In 2026, cybersecurity has evolved significantly, necessitating organizations to prioritize five critical threats identified by expert Danny Mitchell from Heimdal: 1. AI Vulnerabilities: Attackers can manipulate machine learning models by introducing corrupted data, leading to dangerous decisions by AI systems. 2. Cyber-Enabled Fraud and Phishing: Phishing attacks have become more sophisticated with AI, using deepfake technology to impersonate individuals and evade detection. 3. Supply Chain Attacks: Cybercriminals exploit vulnerabilities in software libraries and vendor relationships, compromising trusted software updates and access credentials. 4. Software Vulnerabilities: The rapid discovery of software vulnerabilities outpaces patching efforts, leaving systems exposed to attacks, especially legacy systems. 5. Ransomware Attacks: Modern ransomware employs double extortion tactics, encrypting and stealing data, pressuring businesses to comply with ransom demands. Mitchell recommends strategies such as auditing AI systems, implementing multi-channel verification, securing supply chains, prioritizing patch management, and developing ransomware response plans to combat these threats.
Google's analytical October Workspace Drop simplifies data in Sheets, bolsters AI security
AppWizard
November 1, 2025

Google’s analytical October Workspace Drop simplifies data in Sheets, bolsters AI security

Google has released updates for its Workspace suite in October, enhancing data comprehension, structure, and formatting in Sheets through Gemini AI. Key features include improved understanding of complex instructions for data manipulation. Google Drive has introduced a ransomware detection feature for desktop users, which alerts them to suspicious activity and pauses data synchronization. Gmail now includes end-to-end encryption for emails to enhance privacy and security. These updates build on August's enhancements, which featured file summaries for Chat, Video Overviews for NotebookLM, and the Veo 3 model in the Vids app, with the recent transition to Veo 3.1 providing greater creative control, improved sound capabilities, and more realistic textures.
5 PowerShell tricks that beat Bash on Windows
Winsage
October 20, 2025

5 PowerShell tricks that beat Bash on Windows

Bash is the preferred shell for many developers in Linux environments due to its robust capabilities and flexibility. PowerShell is gaining popularity on Windows for its modern functionalities, user-friendly interface, and integration with the operating system. PowerShell handles output as objects, allowing for easier data manipulation compared to Bash, which outputs plain text. PowerShell can interact with system-level components like the registry and services, enabling tasks such as querying startup applications or managing services directly. It features cmdlets that follow a Verb-Noun syntax, making commands intuitive and reusable, and supports modules for enhanced functionality. PowerShell also excels in file management and offers remoting capabilities, allowing command execution on remote machines without third-party tools. Overall, PowerShell provides better scripting and ease of use for Windows users compared to Bash.
I stored a file inside Pokémon Emerald's in-game PC so you don't have to
AppWizard
June 25, 2025

I stored a file inside Pokémon Emerald’s in-game PC so you don’t have to

Pokémon Emerald allows for data storage through a tool called mon-fs, which encodes files as Pokémon. Each Pokémon carries 68 bits of data, including attributes like species and gender. The mon-fs tool has two modes: Lite, which stores files up to 3.2 KB, and Full, which supports files up to 10.8 KB but requires a save editor. Players can effectively use four Pokémon—Poochyena, Whismur, Taillow, and Nincada—for data storage, each having a 20% or higher appearance rate on Route 116. A web utility assists users in capturing and naming Pokémon to represent their data, but the process is time-consuming and not efficient for file transfer.
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