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From monolith to Lakebase to LTAP: rethinking the database from storage up
Tech Optimizer
July 2, 2026

From monolith to Lakebase to LTAP: rethinking the database from storage up

Sixteen years ago, the author began their PhD at UC Berkeley and was advised to focus on analytics rather than OLTP databases, which were considered solved. This led to the creation of Apache Spark and Databricks. However, during the development of Databricks, it was found that OLTP databases were not solved problems; they were difficult to scale and fragile. This realization led to the development of Lakebase, a serverless Postgres database designed with modern technology. Lakebase architecture separates the write-ahead log (WAL) and data files into independent, scalable services. The WAL is externalized to a service called SafeKeeper, which uses Paxos-based replication for durability, while data files are managed by PageServer, which stores them in cloud object storage. This design addresses challenges such as data loss, scaling, and performance interference between transactional and analytical workloads. Lakebase maintains compatibility with Postgres, offers unlimited storage, serverless compute, durable writes, and simpler high availability. It also introduces LTAP (Lake Transactional/Analytical Processing), which allows both transactional and analytical processing to operate on a single data copy in real time, eliminating the need for separate data copies and reducing costs. LTAP utilizes a unified storage layer that allows data to be materialized in both row and columnar formats, optimizing it for both transactional and analytical workloads. The system ensures that analytics can access the most current data without affecting transactional performance by using a log sequence number (LSN) to retrieve the latest changes. Unlike traditional CDC approaches, LTAP requires no explicit table replication, as all data is stored in a single governed copy. This architecture circumvents common issues faced by hybrid transactional/analytical processing (HTAP) systems, such as incomplete feature sets, lack of ecosystem support, and performance contention. The Lakebase architecture has unlocked capabilities like unlimited storage, elastic compute, durable writes, and instant branching, with ongoing developments anticipated in the future.
silver Android smartphone
Tech Optimizer
July 2, 2026

From monolith to Lakebase to LTAP: rethinking the database from storage up

Sixteen years ago, the author began their PhD at UC Berkeley, where they were advised to focus on analytics rather than OLTP databases, which were considered a solved problem. However, upon developing Databricks, they found that OLTP databases were cumbersome, challenging to scale, and fragile. This led to the creation of Lakebase, a serverless Postgres database designed to address these issues by externalizing the write-ahead log (WAL) and data files into independent services. Lakebase architecture separates the WAL into a distributed service called SafeKeeper and data files into another service called PageServer, allowing for improved durability, scalability, and performance. This architecture eliminates data loss risks associated with disk failures and misconfigurations, simplifies high availability, and allows for elastic compute resources. Lakebase also introduces LTAP (Lake Transactional/Analytical Processing), which enables transactions and analytics to operate on a single data copy in real-time, avoiding the need for separate data copies and reducing costs. The system retains Postgres's ACID semantics while storing data in open columnar formats, making it accessible to both transactional and analytical engines without the delays and complexities of traditional replication methods. The architecture allows for unlimited storage, serverless compute, and instant branching, while ensuring that analytics can read the most current transactional data without affecting transactional workloads. LTAP aims to unify transactional and analytical processing by leveraging distinct compute engines for each workload while integrating at the storage layer.
Minecraft on Bedrock finally gets Closed Captions, a decade after Java Edition
AppWizard
July 2, 2026

Minecraft on Bedrock finally gets Closed Captions, a decade after Java Edition

Mojang has officially introduced closed caption support to Minecraft Bedrock Edition after testing it through preview builds. This feature aims to create a more inclusive gaming environment for players who are deaf or hard-of-hearing. Players can activate closed captions by navigating to Settings > Accessibility > Gameplay, where they can customize the visibility duration, on-screen positioning, and select which sounds to display. The game will provide descriptions of nearby sounds and directional cues for sound sources. Mojang acknowledges potential issues with incorrect sound displays and encourages player feedback for improvements.
'Pure old-school Windows': Ex-Microsoft engineer shrinks down Notepad to 2.5 kilobytes with 'no bloat, no telemetry, no nonsense'
Winsage
July 1, 2026

‘Pure old-school Windows’: Ex-Microsoft engineer shrinks down Notepad to 2.5 kilobytes with ‘no bloat, no telemetry, no nonsense’

A former Microsoft software engineer, Dave Plummer, has launched TinyRetroPad, a minimalist text editing application designed as an alternative to the increasingly complex Notepad. TinyRetroPad is a fork of Tiny Editor, which was based on Plummer's earlier project, HelloAssembly. The application aims to provide a simple and efficient user experience, reminiscent of earlier Windows versions, by utilizing existing Windows components to maintain a small footprint. Users have expressed dissatisfaction with Notepad's growing complexity, prompting a search for lightweight alternatives. TinyRetroPad offers a compact interface without unnecessary features or telemetry.
Mid-week Android app deals and freebies: Clank!, Dune, Raiders of the North Sea, more
AppWizard
July 1, 2026

Mid-week Android app deals and freebies: Clank!, Dune, Raiders of the North Sea, more

Mid-week shopping deals for Android enthusiasts include discounts on various games and apps such as Clank!, Dune: Imperium Digital, Munchkin, Raiders of the North Sea, HEAVEN SEEKER, The Isle of Cats, The Fox in the Forest, and Wings of Glory. Additionally, hardware markdowns feature the Galaxy S26 Ultra models at [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Your mid-week shopping spree is set to delight Android enthusiasts with an enticing array of game and app deals. Featured titles include the engaging Clank!, the strategic Dune: Imperium Digital, the whimsical Munchkin, and the adventurous Raiders of the North Sea. Other noteworthy mentions are HEAVEN SEEKER, The Isle of Cats, The Fox in the Forest, and Wings of Glory, each promising hours of entertainment. In addition to these digital treasures, there's a significant markdown on hardware as well. The Galaxy S26 Ultra models are now available at a remarkable 0 off, while the Galaxy Watch Ultra can be snagged for over 50% less than its regular price. For those looking to enhance their viewing experience, the Google TV Streamer 4K is currently listed at one of its lowest prices to date. Today’s highlight Android app price drops: Clank! - Dive into a world of strategy and adventure. Dune: Imperium Digital - Experience the epic saga of Dune in a digital format. Munchkin - A fun twist on classic role-playing games. Raiders of the North Sea - Embark on a Viking adventure. HEAVEN SEEKER - Explore celestial realms. The Isle of Cats - A family-friendly game of strategy and cat rescue. The Fox in the Forest - A two-player trick-taking game with a fairy tale twist. Wings of Glory - Engage in aerial combat with historical aircraft. More Android app price drops still live: Game Title 1 - Description of the game. Game Title 2 - Description of the game. Game Title 3 - Description of the game. Game Title 4 - Description of the game. Game Title 5 - Description of the game. Game Title 6 - Description of the game. Game Title 7 - Description of the game. Game Title 8 - Description of the game. Game Title 9 - Description of the game. Game Title 10 - Description of the game. As the week unfolds, these deals present a splendid opportunity for both gamers and tech aficionados to enhance their digital collections and devices at attractive prices. FTC: We use income earning auto affiliate links. More." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"] off, the Galaxy Watch Ultra at over 50% off, and the Google TV Streamer 4K at one of its lowest prices.
Former Microsoft engineer shrinks Notepad down to size
Winsage
July 1, 2026

Former Microsoft engineer shrinks Notepad down to size

Dave Plummer, a former Microsoft engineer, has created TinyRetroPad, a minimalist text editor that is only 2.5 kilobytes in size. It aims to provide a simple text editing experience, reminiscent of older software like Notepad, which has become bloated over time with unnecessary features. TinyRetroPad includes essential functions such as Open and Save As dialogs, font selection, and printing capabilities, while using assembly language and the RICHEDIT50W from the WinAPI. The application requires more system resources to run effectively but focuses on maintaining lean code and binaries.
Google has a faster version of Nano Banana with three demo apps you can try right now
AppWizard
July 1, 2026

Google has a faster version of Nano Banana with three demo apps you can try right now

Google has introduced the Nano Banana 2 Lite, a faster and more cost-efficient image generation model that can create images from text queries in four seconds. It generates five images in the time the previous model took to produce one and uses less bandwidth, costing [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Google has unveiled a significant advancement in its image generation capabilities with the introduction of the Nano Banana 2 Lite. This new model is not only faster but also more cost-efficient than its predecessor, Nano Banana 2. Designed to address one of the primary concerns regarding image generators—long wait times—Nano Banana 2 Lite can transform text queries into images in an impressive four seconds. In a demonstration, Google showcased its ability to produce five images in the time it took the older model to generate just one. The efficiency of this model is further highlighted by its reduced bandwidth usage and a cost of only [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: Edgar Cervantes / Android AuthorityTL;DR Google has released a faster and more cost-efficient image model called Nano Banana 2 Lite. Gemini Omni Flash is rolling out to developers Google has also created three new demo apps that showcase how the two models can work together. One of the issues with image generators is how long it takes for the AI to generate an image. Google is shaving down that wait time with a quicker and leaner model than Nano Banana 2. Along with this new model, it is also expanding Gemini Omni Flash to more users. And to showcase what these two models can do together, the company has created a trio of demo apps.Jumping right in to today’s announcement, Google is releasing Nano Banana 2 Lite. According to the Mountain View-based firm, this is the fastest and most cost-efficient model in the Nano Banana family to date. It’s capable of taking text queries and turning them into images in four seconds. In the example Google provided, the AI was able to generate five images before the old model generated one.In terms of efficiency, it uses less bandwidth and costs $0.034 per 1K image. Nano Banana 2 Lite is available today in AI Mode in Search, the Gemini app, Google AI Studio, Gemini API, Gemini Enterprise Agent Platform, and more. The second part of the announcement deals with the expansion of Gemini Omni Flash. Google first introduced the model during I/O, replacing Veo as the default video generation tool in the Gemini app. Now, Omni Flash is rolling out to developers in Google AI Studio, the Gemini API, and Gemini Enterprise Agent Platform, in addition to the Gemini app and Google Flow.Anywhere appAs mentioned earlier, Google has launched three demo apps to showcase how the two models can work together. The first app is called Anywhere, and transports your image to dozens of iconic landmarks when you upload a photo. Gemini Omni flash then turns the photo and the location into an animated clip. Next up is Space Lift, which is an interior design app that lets you reimagine a room with a photo upload. The last app, Omni product studio, turns static images generated by Nano Banana 2 Lite into e-commerce videos generated by Gemini Omni Flash. Thank you for being part of our community. Read our Comment Policy before posting." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].034 per 1,000 images. Users can access Nano Banana 2 Lite immediately through various platforms, including AI Mode in Search, the Gemini app, Google AI Studio, and the Gemini API. Expansion of Gemini Omni Flash In conjunction with the launch of Nano Banana 2 Lite, Google is also expanding the reach of Gemini Omni Flash. Initially introduced at the I/O event, this model has replaced Veo as the default video generation tool within the Gemini app. Now, it is being rolled out to developers using Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform, in addition to its availability in the Gemini app and Google Flow. Innovative Demo Apps To illustrate the capabilities of these two models working in tandem, Google has developed three innovative demo applications. The first, Anywhere, allows users to upload a photo and transport it to various iconic landmarks, with Gemini Omni Flash creating an animated clip from the image and location. The second app, Space Lift, focuses on interior design, enabling users to reimagine a room by uploading a photo. Lastly, Omni Product Studio takes static images generated by Nano Banana 2 Lite and transforms them into dynamic e-commerce videos using Gemini Omni Flash." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].034 per 1,000 images. Nano Banana 2 Lite is available in various platforms, including AI Mode in Search, the Gemini app, Google AI Studio, and the Gemini API. Additionally, Google is expanding the Gemini Omni Flash model, which has replaced Veo as the default video generation tool in the Gemini app, and is now available to developers in Google AI Studio and other platforms. Google has also launched three demo apps: Anywhere, which animates uploaded photos at iconic landmarks; Space Lift, which allows users to redesign rooms with photo uploads; and Omni Product Studio, which converts static images into e-commerce videos.
Open source game engine Godot will no longer accept AI-authored code contributions: 'We can’t trust heavy users of AI to understand their code enough to fix it'
AppWizard
June 30, 2026

Open source game engine Godot will no longer accept AI-authored code contributions: ‘We can’t trust heavy users of AI to understand their code enough to fix it’

The Godot Foundation has decided to implement new guidelines to prohibit AI-authored code, pull requests from AI agents, and AI-generated text in communications between contributors. This decision follows concerns about the increasing number of AI-generated contributions, which have made code review more challenging for maintainers. The Foundation aims to reduce the burden on maintainers and ensure that all contributions come from accountable humans. The new policies will explicitly reject AI-authored code and advise contributors to use AI assistance only for minor tasks while requiring disclosure of its use. Machine translations of human-authored text will still be allowed. The Foundation plans to adopt a cautious approach to AI tools and will re-evaluate its policies as the situation evolves.
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