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X Android app rebuilt from scratch with faster loading, smoother scrolling and improved reliability
AppWizard
July 21, 2026

X Android app rebuilt from scratch with faster loading, smoother scrolling and improved reliability

X has launched a completely redesigned Android app after nearly a year of development, emphasizing faster loading times, smoother scrolling, and improved notifications. The app has been rebuilt from the ground up, allowing for enhanced reliability and the potential for quicker feature rollouts. X is also working on optimizing the app for older Android smartphones and expanding functionalities, including enhanced hosting features for Spaces. The updated app is available globally on the Google Play Store for existing users to update.
Valve reassures Team Fortress 2 players that it's still working on the Mann vs Machine update it announced last year: 'We promise we're making progress'
AppWizard
July 18, 2026

Valve reassures Team Fortress 2 players that it’s still working on the Mann vs Machine update it announced last year: ‘We promise we’re making progress’

Valve has provided an update on the long-awaited Mann vs. Machine mode for Team Fortress 2, acknowledging the delay since the initial call for community submissions in June of last year. The fictional deadline of August 27 has passed without further communication until now. Valve humorously stated, "We're still working on the MvM update." Despite infrequent major updates, Team Fortress 2 has seen increased player engagement following a significant update in 2023, and a recent update introduced new community maps, cosmetics, and taunts, along with smaller patches for bug fixes.
Dell PCs are shutting down after Windows 11's July update, Microsoft admits and blocks it
Winsage
July 15, 2026

Dell PCs are shutting down after Windows 11’s July update, Microsoft admits and blocks it

Microsoft has blocked the Windows 11 July 2026 update (KB5101650) on certain Dell PCs due to issues causing unexpected shutdowns, diminished performance, excessive heat, and battery drain. The problems are linked to the Intel Innovation Platform Framework Processor Participant driver, which affects power management. The complications stem from an optional June 2026 update (KB5095093) that introduced changes impacting the performance of some Dell PCs. Microsoft has not provided a list of affected models but is working with Dell to resolve the issue. The July update has been preemptively blocked from installation on incompatible devices, and a resolution is expected soon.
What Is Serverless PostgreSQL?
Tech Optimizer
July 12, 2026

What Is Serverless PostgreSQL?

Serverless PostgreSQL is a fully managed cloud database model that separates compute and storage, allowing them to scale independently and automatically based on demand. It eliminates the need for manual infrastructure provisioning and capacity planning, charging only for active usage. Unlike traditional PostgreSQL setups, which require continuous resource allocation and manual scaling, serverless PostgreSQL provisions resources on demand and can scale down to zero during idle periods. Serverless PostgreSQL integrates with serverless compute platforms, enabling analytical queries to access the same data within a unified architecture. Key differences between traditional and serverless PostgreSQL include manual versus automatic provisioning and scaling, fixed versus usage-based billing, and high versus reduced operational overhead. Lakebase architecture is an emerging model that combines transactional databases with lakehouse foundations, allowing operational and analytical workloads to coexist on a single platform. This architecture minimizes data duplication and simplifies access, enhancing data management and analysis. Serverless PostgreSQL operates on a cloud-native architecture that enhances efficiency by allowing compute and storage to scale autonomously. It features scale-to-zero behavior, where compute resources are suspended when inactive and reactivated upon new queries. Major providers include Databricks Lakebase, Amazon Aurora Serverless v2, and Neon, each offering varying capabilities and integrations. Pricing for serverless PostgreSQL typically includes charges for compute resources, storage, and data transfer, with costs fluctuating based on workload activity. Cold start latency is a performance consideration, as reactivating compute resources can introduce delays. Strategies to mitigate this include keeping resources partially active or selecting providers with minimal cold start impacts. Serverless PostgreSQL is well-suited for OLTP workloads, while lakebase architecture is better for AI development, variable workloads, and environments requiring rapid iteration. Setting up serverless PostgreSQL involves choosing a provider, creating a database instance, and configuring access settings. It can also be used alongside serverless compute platforms for analytics, further extending its capabilities.
Running pgvector in production on Amazon Aurora PostgreSQL
Tech Optimizer
July 12, 2026

Running pgvector in production on Amazon Aurora PostgreSQL

Running pgvector on Amazon Aurora PostgreSQL-Compatible Edition offers a vector store with operational capabilities, high availability, and scalability. It is favored for Retrieval Augmented Generation (RAG) workloads transitioning to production, but increased traffic introduces challenges like query latency and memory management. Key operational practices for pgvector workloads include selecting the appropriate index type (HNSW or IVFFlat), establishing a baseline schema, choosing a suitable distance operator, scaling the index through quantization and partitioning, and preparing for churn and observability. The prerequisites for using pgvector include an Aurora PostgreSQL-Compatible cluster with specific PostgreSQL versions and the vector extension enabled. The embedding model used in examples is Amazon Titan Text Embeddings V2, which produces 1024-dimensional embeddings. pgvector supports two Approximate Nearest Neighbor (ANN) index types: HNSW, which is efficient for querying and allows for incremental insertions, and IVFFlat, which is less resource-intensive but requires rebuilding if data changes. There are scenarios where forgoing an index is beneficial, such as small datasets or partitioned datasets requiring 100% recall. A baseline schema for a multi-tenant document store includes creating a table for documents with an embedding vector and establishing indexes for tenant IDs and embeddings using HNSW. The recommended parameters for HNSW include m = 16 and ef_construction = 128. Scaling to millions of vectors involves quantization, tuning HNSW parameters, and partitioning. Aurora Optimized Reads can extend effective cache capacity, and managing index churn is crucial for maintaining performance. Observability metrics include query-level statistics, instance-level metrics, and custom application-defined metrics. To clean up after testing, it is advisable to drop the created indexes and tables, and delete the Aurora PostgreSQL-Compatible cluster and any manual snapshots taken during testing.
DBA2: Configuration and Monitoring of PostgreSQL 16 is now available in English
Tech Optimizer
July 9, 2026

DBA2: Configuration and Monitoring of PostgreSQL 16 is now available in English

Postgres Professional has translated the DBA2: Configuration and Monitoring of PostgreSQL 16 course into English. This four-day program is designed for PostgreSQL administrators with basic Unix skills and knowledge equivalent to the DBA1 course. The curriculum covers topics such as Multi-Version Concurrency Control (MVCC), isolation levels, vacuuming, buffer cache management, write-ahead logging (WAL), and server upgrades. Participants will learn to configure PostgreSQL parameters, monitor the server, manage localization settings, and handle extensions. The course materials include a student guide for setting up a virtual machine and performing practical tasks. The translation was done by Elena Sharafutdinova, with assistance from Ilya Bashtanov and Alexander Meleshko.
Steam Users Hooked On New Free Slice Of 9/10 Titanfall-Inspired Shooter
AppWizard
July 6, 2026

Steam Users Hooked On New Free Slice Of 9/10 Titanfall-Inspired Shooter

Titanfall 3 is not currently in production, but a new game called Code RAPID, developed by HitBreak, has released a free demo on Steam that has received positive feedback. Set in a post-apocalyptic world called Ondarea, players control customizable mechs in dynamic combat that emphasizes agility and strategy. The demo allows players to experience the first three missions, showcasing mech customization and core gameplay mechanics. The full version is expected to launch in 2026, and the game currently holds a 90% rating on Steam. Early players have expressed excitement and satisfaction with the demo's controls and gameplay.
EDB named Forrester Leader in multimodel data platforms
Tech Optimizer
July 2, 2026

EDB named Forrester Leader in multimodel data platforms

EDB has been recognized as a Leader in Forrester's Multimodel Data Platforms evaluation for Q2 2026 for its EDB Postgres AI platform, receiving the highest scores in Vision, Innovation, Roadmap, and Partner Ecosystem. The platform is designed to manage mixed translytical and AI workload demands, offering flexibility in deployment across on-premises, hybrid, and multi-cloud environments. EDB's recent product update introduced agentic database and converged analytics functionalities, reportedly accelerating database tuning by up to tenfold and reducing analytics ownership costs by as much as 58%. The platform is supported by a partner ecosystem that includes Dell, IBM, NVIDIA, Red Hat, and Supermicro, which plays a crucial role in influencing database purchasing decisions. EDB's roadmap focuses on advancements in GPU-accelerated workloads, semantic intelligence, governance, and knowledge graph functionalities. The emphasis on sovereign deployment aligns with organizations' needs for control over sensitive data amidst stricter regulations.
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