#what is postgres

[mxrp-official-steve]

Welcome back campers, to this weeks episode of TOTAL, DRAMA, HELLSITE! On this weeks episode, me and my handy Chef Hex will be cooking up a delicious meal of parpy goodness! But the campers will have to roll a single... WITH A PROMPT! The first one to get a proper Roleplay going gets the immunity marshmallow. Now watch out, cuz this ones gonna be a doozy, dudes!

Your September 2nd PARPdate: "Remember that time on TDI where they called god to make it rain? That happened" Edition.

News this month is sorta slow- those of you In The Know already know this, but Hex is being forced to move again. This hasn't impacted Dev TOO much, honestly, and I'm gonna break down WHY in this wonderful little post!

Ok so if you remember the August update, you likely recall us showing off our shiny new mod features and how we can now play funny roleplay police state in order to nail rulebreakers and bandodgers.

If you're also a huge Bubblehead (which is what you're called), you're also likely familiar with this bastard:

(Image description: The red miles, basically. Its a message failed message repeated like ninety times in a row in red font. Thanks to Alienoid from the server for posting this screenshot for me to steal!)

This is because, somehow, these new mod features almost completely broke Dreambubble in ways that make no sense (the new features use Redis, but for some reason their introduction is making PostGres, a completely different system, go absolutely haywire)

So, Hex decided to move forward with their pet project to rewrite Dreambubble. Normally, this would mean a development delay on Parp2 and I'd feel pretty bad about laying this on yalls feet after two years of parplessness.

But hey wait isn't this literally just how they made parp last time.

The answer is yes! The previous Msparp version was built using what is now Dreambubble as a skeleton, evolving on itself into the rickety but lovable RP site we knew before she tragically passed away last February after choking to death on fresh air. As such, Dev is actually going pretty good! Hex has been COOKING through the bones for Dreambubble 2, getting a ton of barebones stuff working right off the bat:

(Image description: A barebones but functional chat window using Felt theme; complete with system connection messages, text preview, and quirking)

Along with our first new feature preview in a while: PUSH NOTIFICATIONS!

(Image description: A felt-theme settings menu showing the ability to turn on and off push notifications, as well as a browser popup in the bottom corner showing that it's been activated)

These are also working on Android! What this does is it pings you when the chat you're in gets a new message, operating on a system level instead of a site level so you don't even need to have the tab, or the browser, open to keep up with your chats! This is gonna be especially useful for mobile users, since this means they can navigate away and use their phone for other things, and their phone'll just ping them when their partners' next message comes through. (These are gonna be off by default, btw. You'll have to turn them on yourself on a per-chat basis in the final release)

It should also be noted that we've Snagged Ourselves A UI Guy recently from the userbase, so we've got a dedicated Make It Look Good person for when things get closer to launch!

That's all for this update, though. Absolutely thrilled to be showing off some progress after the restart. Hopefully we'll have even more to show off next month!

Until then, cheers!

[mx-m29]

Opening up an incognito tab because it's just soooo embarrassing that I have to look up what the syntax for uuids in postgres is. I can't let anyone know I googled this for some reason

[rogue-bard]

Me during a job interview: "I love this job because I love solving puzzles!"

Me when I actually do the job: "WHAT DO YOU MEAN I NEED AN OPEN TRANSACTION TO OPEN A TRANSACTION YOU PIECE OF SHIT POSTGRES KOBOLD, WHAT KIND OF SPHINX RIDDLE IS THIS???"

[molsno]

if my goal with this project was just "make a website" I would just slap together some html, css, and maybe a little bit of javascript for flair and call it a day. I'd probably be done in 2-3 days tops. but instead I have to practice and make myself "employable" and that means smashing together as many languages and frameworks and technologies as possible to show employers that I'm capable of everything they want and more. so I'm developing apis in java that fetch data from a postgres database using spring boot with authentication from spring security, while coding the front end in typescript via an angular project served by nginx with https support and cloudflare protection, with all of these microservices running in their own docker containers.

basically what that means is I get to spend very little time actually programming and a whole lot of time figuring out how the hell to make all these things play nice together - and let me tell you, they do NOT fucking want to.

but on the bright side, I do actually feel like I'm learning a lot by doing this, and hopefully by the time I'm done, I'll have something really cool that I can show off

[lighthouse-app]

One of the current pluralkit devs here, heard about lighthouse today and I absolutely love what you're doing with this!! we've wanted some private forums/journals for a while now and this might be the tool for that.

What did you use to make this site? Techwise I mean. I'm not asking for the source code, just curious as to what stack you used since I'm a webdev nerd and like to look into these kinds of things.

Nw if you'd rather not answer!! Like I said I'm curious. I see a cool thing and want to know how it's made. Seriously, thank you for making this available for others to use!!

Heya! I’m glad you’ve found Lighthouse useful.

As for a stack, we started with PERN, but then we never got around to actually using React on the web side of things. So the stack is more like PEN lol. Postgres-Express-Node. The front end is primarily done with EJS templating, jQuery and/or vanilla JavaScript.

Have a happy and safe holiday!

[reasonableapproximation]

A thing I've been looking into at work lately is collation, and specifically sorting. We want to compare in-memory implementations of things to postgres implementations, which means we need to reproduce postgres sorting in Haskell. Man it's a mess.

By default postgres uses glibc to sort. So we can use the FFI to reproduce it.

This mostly works fine, except if the locale says two things compare equal, postgres falls back to byte-comparing them. Which is also fine I guess, we can implement that too, but ugh.

Except also, this doesn't work for the mac user, so they can't reproduce test failures in the test suite we implemented this in.

How does postgres do sorting on mac? Not sure.

So we figured we'd use libicu for sorting. Postgres supports that, haskell supports it (through text-icu), should be fine. I'm starting off with a case-insensitive collation.

In postgres, you specify a collation through a string like en-u-ks-level2-numeric-true. (Here, en is a language, u is a separator, ks and numeric are keys and level2 and true are values. Some keys take multiple values, so you just have to know which strings are keys I guess?) In Haskell you can do it through "attributes" or "rules". Attributes are type safe but don't support everything you might want to do with locales. Rules are completely undocumented in text-icu, you pass in a string and it parses it. I'm pretty sure the parsing is implemented in libicu itself but it would be nice if text-icu gave you even a single example of what they look like.

But okay, I've got a locale in Haskell that I think should match the postgres one. Does it? Lolno

So there's a function collate for "compare these two strings in this locale", and a function sortKey for "get the sort key of this string in this locale". It should be that "collate l a b" is the same as "compare (sortKey l a) (sortKey l b)", but there are subtle edge cases where this isn't the case, like for example when a is the empty string and b is "\0". Or any string whose characters are all drawn from a set that includes NUL, lots of other control codes, and a handful of characters somewhere in the Arabic block. In these cases, collate says they're equal but sortKey says the empty string is smaller. But pg gets the same results as collate so fine, go with that.

Also seems like text-icu and pg disagree on which blocks get sorted before which other blocks, or something? At any rate I found a lot of pairs of (latin, non-latin) where text-icu sorts the non-latin first and pg sorts it second. So far I've solved this by just saying "only generate characters in the basic multilingual plane, and ignore anything in (long list of blocks)".

(Collations have an option for choosing which order blocks get sorted in, but it's not available with attributes. I haven't bothered to try it with rules, or with the format pg uses to specify them.)

I wonder how much of this is to do with using different versions of libicu. For Haskell we use a nix shell, which is providing version 72.1. Our postgres comes from a docker image and is using 63.1. When I install libicu on our CI images, they get 67.1 (and they can't reproduce the collate/sortKey bug with the arabic characters, so fine, remove them from the test set).

(I find out version numbers locally by doing lsof and seeing that the files are named like .so.63.1. Maybe ldd would work too? But because pg is in docker I don't know where the binary is. On CI I just look at the install logs.)

I wonder if I can get 63.1 in our nix shell. No, node doesn't support below 69. Fine, let's try 69. Did you know chromium depends on libicu? My laptop's been compiling chromium for many hours now.

[jarich]

I'm in tech and I agree that there are some things that LLMs can do better (and certainly faster) than I can.

1. Provide workable solutions to well-described (but fairly straightforward) problems. For example "using jq (a json query language tool) take two json files and combine them in this manner...."

2. Identify and fix format issues: "what changes are required to make this string valid json?"

3. Doing boring chores. "Using this sample data, suggest a well normalised database structure. Write a script that creates a Postgres database, and creates the tables decided above. Write a second script that accepts json objects that look like EXAMPLE and adds them into the database."

However, while there is a risk my employer will decide that LLMs can reduce the workforce significantly, 99% of what I do can't be done by LLMs yet and I can't see how that would change.

LLMs have the ability to draw on the expertise and documentation created by millions of people. They can synthesise that knowledge to provide answers to fairly casually askef questions. But they have no *understanding* of the content they're synthesising, which is why they can't give correct answers to questions like "what is 2+2?" or "how many times does the letter r appear in strawberry?" Those questions require *understanding* of the premise of the question. "Infer, based on hundreds of millions of pages of documentation and examples, how to use this tool to do that thing" is a much easier ask.

The other thing about having no understanding is that they can't create anything truly new. They can create new art in the style of the grand masters, compose music, write stories... But only in a derivative sense. LLMs possess no mind, so they can't *imagine* anything. Users who use LLMs to realise their own art are missing out on the value of learning how to create their art themselves. Just as I am missing out on the value of learning how to use the tool jq to manipulate json files which would enable me to answer my own question.

LLMs have such a large environmental footprint, that they're morally dubious at best. It should be alarming that LLM proponents are telling us to just use these tools without worrying about the environment, because we aren't doing enough to fix climate change anyway. "Leave solving the future to LLMs?!" LLMs aren't going to solve climate change, they're incapable of *understanding* and *innovating*. We already know how to save ourselves from climate change, but the wealthy and powerful don't want to because it would require them to be less rich and powerful.

The trillion dollar problem is literally "how do we change our current society such that leadership requires the ability to lead, a commitment to listen to experts and does not result in the leader getting buckets of money from bribes and lobbying?" preferably without destroying the supply chain and killing hundreds of thousands.

so like I said, I work in the tech industry, and it's been kind of fascinating watching whole new taboos develop at work around this genAI stuff. All we do is talk about genAI, everything is genAI now, "we have to win the AI race," blah blah blah, but nobody asks - you can't ask -

What's it for?

What's it for?

Why would anyone want this?

I sit in so many meetings and listen to genuinely very intelligent people talk until steam is rising off their skulls about genAI, and wonder how fast I'd get fired if I asked: do real people actually want this product, or are the only people excited about this technology the shareholders who want to see lines go up?

like you realize this is a bubble, right, guys? because nobody actually needs this? because it's not actually very good? normal people are excited by the novelty of it, and finance bro capitalists are wetting their shorts about it because they want to get rich quick off of the Next Big Thing In Tech, but the novelty will wear off and the bros will move on to something else and we'll just be left with billions and billions of dollars invested in technology that nobody wants.

and I don't say it, because I need my job. And I wonder how many other people sitting at the same table, in the same meeting, are also not saying it, because they need their jobs.

idk man it's just become a really weird environment.

[fromdevcom]

The past 15 years have witnessed a massive change in the nature and complexity of web applications. At the same time, the data management tools for these web applications have undergone a similar change. In the current web world, it is all about cloud computing, big data and extensive users who need a scalable data management system. One of the common problems experienced by every large data web application is to manage big data efficiently. The traditional RDBM databases are insufficient in handling Big Data. On the contrary, NoSQL database is best known for handling web applications that involve Big Data. All the major websites including Google, Facebook and Yahoo use NoSQL for data management. Big Data companies like Netflix are using Cassandra (NoSQL database) for storing critical member data and other relevant information (95%). NoSQL databases are becoming popular among IT companies and one can expect questions related to NoSQL in a job interview. Here are some excellent books to learn more about NoSQL. Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement (By: Eric Redmond and Jim R. Wilson ) This book does what it is meant for and it gives basic information about seven different databases. These databases include Redis, CouchDB, HBase, Postgres, Neo4J, MongoDB and Riak. You will learn about the supporting technologies relevant to all of these databases. It explains the best use of every single database and you can choose an appropriate database according to the project. If you are looking for a database specific book, this might not be the right option for you. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (By: Pramod J. Sadalage and Martin Fowler ) It offers a hands-on guide for NoSQL databases and can help you start creating applications with NoSQL database. The authors have explained four different types of databases including document based, graph based, key-value based and column value database. You will get an idea of the major differences among these databases and their individual benefits. The next part of the book explains different scalability problems encountered within an application. It is certainly the best book to understand the basics of NoSQL and makes a foundation for choosing other NoSQL oriented technologies. Professional NoSQL (By: Shashank Tiwari ) This book starts well with an explanation of the benefits of NoSQL in large data applications. You will start with the basics of NoSQL databases and understand the major difference among different types of databases. The author explains important characteristics of different databases and the best-use scenario for them. You can learn about different NoSQL queries and understand them well with examples of MongoDB, CouchDB, Redis, HBase, Google App Engine Datastore and Cassandra. This book is best to get started in NoSQL with extensive practical knowledge. Getting Started with NoSQL (By: Gaurav Vaish ) If you planning to step into NoSQL databases or preparing it for an interview, this is the perfect book for you. You learn the basic concepts of NoSQL and different products using these data management systems. This book gives a clear idea about the major differentiating features of NoSQL and SQL databases. In the next few chapters, you can understand different types of NoSQL storage types including document stores, graph databases, column databases, and key-value NoSQL databases. You will even come to know about the basic differences among NoSQL products such as Neo4J, Redis, Cassandra and MongoDB. Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence (By: John Sharp, Douglas McMurtry, Andrew Oakley, Mani Subramanian, Hanzhong Zhang ) It is an advanced level book for programmers involved in web architecture development and deals with the practical problems in complex web applications. The best part of this book is that it describes different real-life

web development problems and helps you identify the best data management system for a particular problem. You will learn best practices to combine different data management systems and get maximum output from it. Moreover, you will understand the polyglot architecture and its necessity in web applications. The present web environment requires an individual to understand complex web applications and practices to handle Big Data. If you are planning to start high-end development and get into the world of NoSQL databases, it is best to choose one of these books and learn some practical concepts about web development. All of these books are full of practical information and can help you prepare for different job interviews concerning NoSQL databases. Make sure to do the practice section and implement these concepts for a better understanding.

[flutterflowdevs]

Hire Supabase Developer Today to Supercharge Your App

In the fast-paced world of app development, speed, scalability, and security are non-negotiable. If you're building the next big thing, your backend needs to be as powerful as your vision. That's where Supabase comes in—and more importantly, that's where Flutterflowdevs comes in. If you're looking to Hire Supabase Developer talent that can take your product from idea to launch with unparalleled efficiency, you’ve come to the right place.

Supabase: The Backend Revolution You Need Now

Supabase has exploded onto the development scene, often hailed as the “open-source Firebase alternative.” It offers real-time data, authentication, edge functions, and scalable Postgres—all out of the box. In short, it gives you everything you need to launch production-ready applications without drowning in DevOps.

Yet, Supabase isn’t plug-and-play for everyone. To unlock its full potential, you need more than just tutorials and hope. You need expertise. You need speed. You need someone who’s been there, done that, and built products that scale.

That’s why it’s time to Hire Supabase Developer experts from Flutterflowdevs.

Why Flutterflowdevs?

Because we don't just build apps—we build rockets and launch them into the stratosphere. Flutterflowdevs is the premier destination for hiring vetted, elite-level developers who specialize in Supabase and FlutterFlow. Our mission is to help you launch faster, smarter, and leaner.

When you Hire Supabase Developer talent from Flutterflowdevs, you're not just getting code. You’re getting:

Battle-Tested Expertise: Our developers live and breathe Supabase. Schema design, row-level security, edge functions, Postgres optimization—we do it all.

Rapid Prototyping: Need an MVP in days, not months? We specialize in high-speed app delivery using Supabase as the powerhouse backend.

Seamless Integration with FlutterFlow: Our team doesn’t just know Supabase. We’re masters of FlutterFlow, ensuring your backend and frontend play in perfect harmony.

Future-Proof Scaling: We don’t build for today—we architect for tomorrow. Supabase grows with you, and so will your app.

The Race Is On—Don't Be Left Behind

Every day you wait is another day someone else launches. The startup world rewards those who move fast and break through. If you're still wondering whether to Hire Supabase Developer professionals, your competition already has.

Your dream deserves more than delay. It deserves a backend built on rocket fuel, and a team that can deliver it without hesitation.

At Flutterflowdevs, we operate under one mantra: Speed without sacrifice. You get a polished, scalable, secure backend—fast. And that’s what makes our clients not just happy, but wildly successful.

What Happens When You Don’t?

It’s simple. You fall behind. You’ll spend weeks—or months—trying to hack together a backend. You’ll hit walls. You’ll burn cash. Worst of all, you’ll watch others sprint past while you're still figuring things out.

Why risk the headache when you can Hire Supabase Developer experts from Flutterflowdevs today and eliminate the guesswork?

How to Get Started—Right Now

The process is fast, frictionless, and tailored to you.

Book a free consultation: Tell us about your vision. We’ll help you scope the backend and suggest the best Supabase setup.

Meet your developer(s): We hand-pick from our roster of elite Supabase professionals.

Start building immediately: Your backend will be up and running in days, not weeks.

Your app deserves the best. Your users expect speed. Your investors expect traction. Don’t keep them waiting.

Final Word: You Need More Than a Developer—You Need Flutterflowdevs

Supabase is the future of backend development. FlutterFlow is the future of frontends. And Flutterflowdevs is the bridge that connects them seamlessly. We bring together world-class Supabase developers, lightning-fast delivery, and bulletproof architecture. So if you’re serious about launching your product the right way, there’s no time to lose. Hire Supabase Developer talent from Flutterflowdevs today—because your dream app can’t wait, and neither should you.

For More Details You Can Visit Us:

Flutterflow Development

Flutterflow Developer

Flutterflow Expert

[souhaillaghchimdev]

Using Docker in Software Development

Docker has become a vital tool in modern software development. It allows developers to package applications with all their dependencies into lightweight, portable containers. Whether you're building web applications, APIs, or microservices, Docker can simplify development, testing, and deployment.

What is Docker?

Docker is an open-source platform that enables you to build, ship, and run applications inside containers. Containers are isolated environments that contain everything your app needs—code, libraries, configuration files, and more—ensuring consistent behavior across development and production.

Why Use Docker?

Consistency: Run your app the same way in every environment.

Isolation: Avoid dependency conflicts between projects.

Portability: Docker containers work on any system that supports Docker.

Scalability: Easily scale containerized apps using orchestration tools like Kubernetes.

Faster Development: Spin up and tear down environments quickly.

Basic Docker Concepts

Image: A snapshot of a container. Think of it like a blueprint.

Container: A running instance of an image.

Dockerfile: A text file with instructions to build an image.

Volume: A persistent data storage system for containers.

Docker Hub: A cloud-based registry for storing and sharing Docker images.

Example: Dockerizing a Simple Python App

Let’s say you have a Python app called app.py: # app.py print("Hello from Docker!")

Create a Dockerfile: # Dockerfile FROM python:3.10-slim COPY app.py . CMD ["python", "app.py"]

Then build and run your Docker container: docker build -t hello-docker . docker run hello-docker

This will print Hello from Docker! in your terminal.

Popular Use Cases

Running databases (MySQL, PostgreSQL, MongoDB)

Hosting development environments

CI/CD pipelines

Deploying microservices

Local testing for APIs and apps

Essential Docker Commands

docker build -t <name> . — Build an image from a Dockerfile

docker run <image> — Run a container from an image

docker ps — List running containers

docker stop <container_id> — Stop a running container

docker exec -it <container_id> bash — Access the container shell

Docker Compose

Docker Compose allows you to run multi-container apps easily. Define all your services in a single docker-compose.yml file and launch them with one command: version: '3' services: web: build: . ports: - "5000:5000" db: image: postgres

Start everything with:docker-compose up

Best Practices

Use lightweight base images (e.g., Alpine)

Keep your Dockerfiles clean and minimal

Ignore unnecessary files with .dockerignore

Use multi-stage builds for smaller images

Regularly clean up unused images and containers

Conclusion

Docker empowers developers to work smarter, not harder. It eliminates "it works on my machine" problems and simplifies the development lifecycle. Once you start using Docker, you'll wonder how you ever lived without it!

[mxrp-official-steve]

Hey steve real quick question, on my normal browser whenever I get onto dreambubble and everything seems to immediately go to the blue screen saying that something went wrong, but whenever I go onto incognito it seems to work just fine, is this something to do with the site or is this a sealthy way to ban someone off of the site?

(If the latter idk what i did since i didn't break any of the rules)

Nah she's just Mad Fucky right now.

Those new mod features kinda fucked the site up a lil in some confusing ways (the new features use Redis, but for some reason its PostGres that's spiking up and crashing things). Hex is cooking up a solution in the background though, with occasional updates in the drambuggles channel in the server. I'll announce it here when it's ready!

[learning-code-ficusoft]

Hosting Options for Full Stack Applications: AWS, Azure, and Heroku

Introduction

When deploying a full-stack application, choosing the right hosting provider is crucial. AWS, Azure, and Heroku offer different hosting solutions tailored to various needs. This guide compares these platforms to help you decide which one is best for your project.

1. Key Considerations for Hosting

Before selecting a hosting provider, consider: ✅ Scalability — Can the platform handle growth? ✅ Ease of Deployment — How simple is it to deploy and manage apps? ✅ Cost — What is the pricing structure? ✅ Integration — Does it support your technology stack? ✅ Performance & Security — Does it offer global availability and robust security?

2. AWS (Amazon Web Services)

Overview

AWS is a cloud computing giant that offers extensive services for hosting and managing applications.

Key Hosting Services

🚀 EC2 (Elastic Compute Cloud) — Virtual servers for hosting web apps 🚀 Elastic Beanstalk — PaaS for easy deployment 🚀 AWS Lambda — Serverless computing 🚀 RDS (Relational Database Service) — Managed databases (MySQL, PostgreSQL, etc.) 🚀 S3 (Simple Storage Service) — File storage for web apps

Pros & Cons

✔️ Highly scalable and flexible ✔️ Pay-as-you-go pricing ✔️ Integration with DevOps tools ❌ Can be complex for beginners ❌ Requires manual configuration

Best For: Large-scale applications, enterprises, and DevOps teams.

3. Azure (Microsoft Azure)

Overview

Azure provides cloud services with seamless integration for Microsoft-based applications.

Key Hosting Services

🚀 Azure Virtual Machines — Virtual servers for custom setups 🚀 Azure App Service — PaaS for easy app deployment 🚀 Azure Functions — Serverless computing 🚀 Azure SQL Database — Managed database solutions 🚀 Azure Blob Storage — Cloud storage for apps

Pros & Cons

✔️ Strong integration with Microsoft tools (e.g., VS Code, .NET) ✔️ High availability with global data centers ✔️ Enterprise-grade security ❌ Can be expensive for small projects ❌ Learning curve for advanced features

Best For: Enterprise applications, .NET-based applications, and Microsoft-centric teams.

4. Heroku

Overview

Heroku is a developer-friendly PaaS that simplifies app deployment and management.

Key Hosting Features

🚀 Heroku Dynos — Containers that run applications 🚀 Heroku Postgres — Managed PostgreSQL databases 🚀 Heroku Redis — In-memory caching 🚀 Add-ons Marketplace — Extensions for monitoring, security, and more

Pros & Cons

✔️ Easy to use and deploy applications ✔️ Managed infrastructure (scaling, security, monitoring) ✔️ Free tier available for small projects ❌ Limited customization compared to AWS & Azure ❌ Can get expensive for large-scale apps

Best For: Startups, small-to-medium applications, and developers looking for quick deployment.

5. Comparison Table

FeatureAWSAzureHerokuScalabilityHighHighMediumEase of UseComplexModerateEasyPricingPay-as-you-goPay-as-you-goFixed plansBest ForLarge-scale apps, enterprisesEnterprise apps, Microsoft usersStartups, small appsDeploymentManual setup, automated pipelinesIntegrated DevOpsOne-click deploy

6. Choosing the Right Hosting Provider

✅ Choose AWS for large-scale, high-performance applications.

✅ Choose Azure for Microsoft-centric projects.

✅ Choose Heroku for quick, hassle-free deployments.

WEBSITE: https://www.ficusoft.in/full-stack-developer-course-in-chennai/

[technotronixs]

Recent Updates in Laravel 11: Enhancing the Developer Experience

Laravel, one of the most popular PHP frameworks, has consistently delivered powerful tools and features for developers. With the release of Laravel 11, the framework has introduced several enhancements and updates to make development faster, more reliable, and easier. Here, we take a closer look at the latest updates as of January 15, 2025, focusing on the improvements brought by the recent patch versions.

Patch Update: v11.38.2 (January 15, 2025)

The Laravel team continues to refine the framework by:

Simplifying the Codebase: The introduction of the qualifyColumn helper method helps streamline database interactions, making queries more intuitive and efficient.

Postgres Connection Fixes: Reverting support for missing Postgres connection options ensures compatibility with diverse database setups.

Database Aggregation Stability: A rollback of recent changes to database aggregate by group methods resolves issues with complex queries.

Patch Update: v11.38.1 (January 14, 2025)

This patch focused on ensuring stability by:

Reverting Breaking Changes: Addressing the unexpected impact of replacing string class names with ::class constants. This ensures existing projects continue to work without modifications.

Improving Test Coverage: Added a failing test case to highlight potential pitfalls, leading to better framework reliability.

Patch Update: v11.38.0 (January 14, 2025)

Version 11.38.0 brought significant new features, including:

Enhanced Eloquent Relations: New relation existence methods make working with advanced database queries easier.

Fluent Data Handling: Developers can now set data directly on a Fluent instance, streamlining how data structures are manipulated.

Advanced URI Parsing: URI parsing and mutation updates enable more flexible and dynamic routing capabilities.

Dynamic Builders: Fluent dynamic builders have been introduced for cache, database, and mail. This allows developers to write expressive and concise code.

Request Data Access: Simplified access to request data improves the overall developer experience when handling HTTP requests.

Why Laravel 11 Stands Out

Laravel 11 continues to prioritize developer convenience and project scalability. From simplified migrations to improved routing and performance optimizations, the framework is designed to handle modern web development challenges with ease. The following key features highlight its importance:

Laravel Reverb: A first-party WebSocket server for real-time communication, seamlessly integrating with Laravel's broadcasting capabilities.

Streamlined Directory Structure: Reducing default files makes project organization cleaner.

APP_KEY Rotation: Graceful handling of APP_KEY rotations ensures secure and uninterrupted application operation.

Which is the Best Software Development Company in Indore?As you explore the latest updates in Laravel 11 and enhance your development projects, you may also be wondering which is the best software development company in Indore to partner with for your next project. The city is home to a number of top-tier companies offering expert services in Laravel and other modern web development frameworks, making it an ideal location for both startups and enterprise-level businesses. Whether you need a Laravel-focused team or a full-stack development solution, Indore has options that can align with your technical and business requirements.

What’s Next for Laravel?

As the Laravel team prepares to release Laravel 12 in early 2025, developers can expect even more enhancements in performance, scalability, and advanced query capabilities. For those eager to explore the upcoming features, a development branch of Laravel 12 is already available for testing.

Conclusion

With each update, Laravel demonstrates its commitment to innovation and developer satisfaction. The latest updates in Laravel 11 showcase the framework's focus on stability, new features, and ease of use. Whether you’re building small applications or scaling to enterprise-level projects, Laravel 11 offers tools that make development smoother and more efficient.

For the latest updates and in-depth documentation, visit the official Laravel website.

[jcmarchi]

Karthik Ranganathan, Co-Founder and Co-CEO of Yugabyte – Interview Series

New Post has been published on https://thedigitalinsider.com/karthik-ranganathan-co-founder-and-co-ceo-of-yugabyte-interview-series/

Karthik Ranganathan, Co-Founder and Co-CEO of Yugabyte – Interview Series

Karthik Ranganathan is co-founder and co-CEO of Yugabyte, the company behind YugabyteDB, the open-source, high-performance distributed PostgreSQL database. Karthik is a seasoned data expert and former Facebook engineer who founded Yugabyte alongside two of his Facebook colleagues to revolutionize distributed databases.

What inspired you to co-found Yugabyte, and what gaps in the market did you see that led you to create YugabyteDB?

My co-founders, Kannan Muthukkaruppan, Mikhail Bautin, and I, founded Yugabyte in 2016. As former engineers at Meta (then called Facebook), we helped build popular databases including Apache Cassandra, HBase, and RocksDB – as well as running some of these databases as managed services for internal workloads.

We created YugabyteDB because we saw a gap in the market for cloud-native transactional databases for business-critical applications. We built YugabyteDB to cater to the needs of organizations transitioning from on-premises to cloud-native operations and combined the strengths of non-relational databases with the scalability and resilience of cloud-native architectures. While building Cassandra and HBase at Facebook (which was instrumental in addressing Facebook’s significant scaling needs), we saw the rise of microservices, containerization, high availability, geographic distribution, and Application Programming Interfaces (API). We also recognized the impact that open-source technologies have in advancing the industry.

People often think of the transactional database market as crowded. While this has traditionally been true, today Postgres has become the default API for cloud-native transactional databases. Increasingly, cloud-native databases are choosing to support the Postgres protocol, which has been ingrained into the fabric of YugabyteDB, making it the most Postgres-compatible database on the market. YugabyteDB retains the power and familiarity of PostgreSQL while evolving it to an enterprise-grade distributed database suitable for modern cloud-native applications. YugabyteDB allows enterprises to efficiently build and scale systems using familiar SQL models.

How did your experiences at Facebook influence your vision for the company?

In 2007, I was considering whether to join a small but growing company–Facebook. At the time, the site had about 30 to 40 million users. I thought it might double in size, but I couldn’t have been more wrong! During my over five years at Facebook, the user base grew to 2 billion. What attracted me to the company was its culture of innovation and boldness, encouraging people to “fail fast” to catalyze innovation.

Facebook grew so large that the technical and intellectual challenges I craved were no longer present. For many years I had aspired to start my own company and tackle problems facing the common user–this led me to co-create Yugabyte.

Our mission is to simplify cloud-native applications, focusing on three essential features crucial for modern development:

First, applications must be continuously available, ensuring uptime regardless of backups or failures, especially when running on commodity hardware in the cloud.

Second, the ability to scale on demand is crucial, allowing developers to build and release quickly without the delay of ordering hardware.

Third, with numerous data centers now easily accessible, replicating data across regions becomes vital for reliability and performance.

These three elements empower developers by providing the agility and freedom they need to innovate, without being constrained by infrastructure limitations.

Could you share the journey from Yugabyte’s inception in 2016 to its current status as a leader in distributed SQL databases? What were some key milestones?

At Facebook, I often talked with developers who needed specific features, like secondary indexes on SQL databases or occasional multi-node transactions. Unfortunately, the answer was usually “no,” because existing systems weren’t designed for those requirements.

Today, we are experiencing a shift towards cloud-native transactional applications that need to address scale and availability. Traditional databases simply can’t meet these needs. Modern businesses require relational databases that operate in the cloud and offer the three essential features: high availability, scalability, and geographic distribution, while still supporting SQL capabilities. These are the pillars on which we built YugabyteDB and the database challenges we’re focused on solving.

In February 2016, the founders began developing YugabyteDB, a global-scale distributed SQL database designed for cloud-native transactional applications. In July 2019, we made an unprecedented announcement and released our previously commercial features as open source. This reaffirmed our commitment to open-source principles and officially launched YugabyteDB as a fully open-source relational database management system (RDBMS) under an Apache 2.0 license.

The latest version of YugabyteDB (unveiled in September) features enhanced Postgres compatibility. It includes an Adaptive Cost-Based Optimizer (CBO) that optimizes query plans for large-scale, multi-region applications, and Smart Data Distribution that automatically determines whether to store tables together for lower latency, or to shard and distribute data for greater scalability. These enhancements allow developers to run their PostgreSQL applications on YugabyteDB efficiently and scale without the need for trade-offs or complex migrations.

YugabyteDB is known for its compatibility with PostgreSQL and its Cassandra-inspired API. How does this multi-API approach benefit developers and enterprises?

YugabyteDB’s multi-API approach benefits developers and enterprises by combining the strengths of a high-performance SQL database with the flexibility needed for global, internet-scale applications.

It supports scale-out RDBMS and high-volume Online Transaction Processing (OLTP) workloads, while maintaining low query latency and exceptional resilience. Compatibility with PostgreSQL allows for seamless lift-and-shift modernization of existing Postgres applications, requiring minimal changes.

In the latest version of the distributed database platform, released in September 2024, features like the Adaptive CBO and Smart Data Distribution enhance performance by optimizing query plans and automatically managing data placement. This allows developers to achieve low latency and high scalability without compromise, making YugabyteDB ideal for rapidly growing, cloud-native applications that require reliable data management.

AI is increasingly being integrated into database systems. How is Yugabyte leveraging AI to enhance the performance, scalability, and security of its SQL systems?

We are leveraging AI to enhance our distributed SQL database by addressing performance and migration challenges. Our upcoming Performance Copilot, an enhancement to our Performance Advisor, will simplify troubleshooting by analyzing query patterns, detecting anomalies, and providing real-time recommendations to troubleshoot database performance issues.

We are also integrating AI into YugabyteDB Voyager, our database migration tool that simplifies migrations from PostgreSQL, MySQL, Oracle, and other cloud databases to YugabyteDB. We aim to streamline transitions from legacy systems by automating schema conversion, SQL translation, and data transformation, with proactive compatibility checks. These innovations focus on making YugabyteDB smarter, more efficient, and easier for modern, distributed applications to use.

What are the key advantages of using an open-source SQL system like YugabyteDB in cloud-native applications compared to traditional proprietary databases?

Transparency, flexibility, and robust community support are key advantages when using an open-source SQL system like YugabyteDB in cloud-native applications. When we launched YugabyteDB, we recognized the skepticism surrounding open-source models. We engaged with users, who expressed a strong preference for a fully open database to trust with their critical data.

We initially ran on an open-core model, but rapidly realized it needed to be a completely open solution. Developers increasingly turn to PostgreSQL as a logical Oracle alternative, but PostgreSQL was not built for dynamic cloud platforms. YugabyteDB fills this gap by supporting PostgreSQL’s feature depth for modern cloud infrastructures. By being 100% open source, we remove roadblocks to adoption.

This makes us very attractive to developers building business-critical applications and to operations engineers running them on cloud-native platforms. Our focus is on creating a database that is not only open, but also easy to use and compatible with PostgreSQL, which remains a developer favorite due to its mature feature set and powerful extensions.

The demand for scalable and adaptable SQL solutions is growing. What trends are you observing in the enterprise database market, and how is Yugabyte positioned to meet these demands?

Larger scale in enterprise databases often leads to increased failure rates, especially as organizations deal with expanded footprints and higher data volumes. Key trends shaping the database landscape include the adoption of DBaaS, and a shift back from public cloud to private cloud environments. Additionally, the integration of generative AI brings opportunities and challenges, requiring automation and performance optimization to manage the growing data load.

Organizations are increasingly turning to DBaaS to streamline operations, despite initial concerns about control and security. This approach improves efficiency across various infrastructures, while the focus on private cloud solutions helps businesses reduce costs and enhance scalability for their workloads.

YugabyteDB addresses these evolving demands by combining the strengths of relational databases with the scalability of cloud-native architectures. Features like Smart Data Distribution and an Adaptive CBO, enhance performance and support a large number of database objects. This makes it a competitive choice for running a wide range of applications.

Furthermore, YugabyteDB allows enterprises to migrate their PostgreSQL applications while maintaining similar performance levels, crucial for modern workloads. Our commitment to open-source development encourages community involvement and provides flexibility for customers who want to avoid vendor lock-in.

With the rise of edge computing and IoT, how does YugabyteDB address the challenges posed by these technologies, particularly regarding data distribution and latency?

YugabyteDB’s distributed SQL architecture is designed to meet the challenges posed by the rise of edge computing and IoT by providing a scalable and resilient data layer that can operate seamlessly in both cloud and edge contexts. Its ability to automatically shard and replicate data ensures efficient distribution, enabling quick access and real-time processing. This minimizes latency, allowing applications to respond swiftly to user interactions and data changes.

By offering the flexibility to adapt configurations based on specific application requirements, YugabyteDB ensures that enterprises can effectively manage their data needs as they evolve in an increasingly decentralized landscape.

As Co-CEO, how do you balance the dual roles of leading technological innovation and managing company growth?

Our company aims to simplify cloud-native applications, compelling me to stay on top of technology trends, such as generative AI and context switches. Following innovation demands curiosity, a desire to make an impact, and a commitment to continuous learning.

Balancing technological innovation and company growth is fundamentally about scaling–whether it’s scaling systems or scaling impact. In distributed databases, we focus on building technologies that scale performance, handle massive workloads, and ensure high availability across a global infrastructure. Similarly, scaling Yugabyte means growing our customer base, enhancing community engagement, and expanding our ecosystem–while maintaining operational excellence.

All this requires a disciplined approach to performance and efficiency.

Technically, we optimize query execution, reduce latency, and improve system throughput; organizationally, we streamline processes, scale teams, and enhance cross-functional collaboration. In both cases, success comes from empowering teams with the right tools, insights, and processes to make smart, data-driven decisions.

How do you see the role of distributed SQL databases evolving in the next 5-10 years, particularly in the context of AI and machine learning?

In the next few years, distributed SQL databases will evolve to handle complex data analysis, enabling users to make predictions and detect anomalies with minimal technical expertise. There is an immense amount of database specialization in the context of AI and machine learning, but that is not sustainable. Databases will need to evolve to meet the demands of AI. This is why we’re iterating and enhancing capabilities on top of pgvector, ensuring developers can use Yugabyte for their AI database needs.

Additionally, we can expect an ongoing commitment to open source in AI development. Five years ago, we made YugabyteDB fully open source under the Apache 2.0 license, reinforcing our dedication to an open-source framework and proactively building our open-source community.

Thank you for all of your detailed responses, readers who wish to learn more should visit YugabyteDB.

[markchenxyz]

Why I launched AI Pulse

Like many engineers, I found myself drowning in AI tool directories that felt more like advertising platforms than actual resources. The breaking point came when our team wasted days evaluating LLM tools, only to discover the "top-rated" options were either outdated or buried in sponsored listings.

Coming back to JavaScript after a 5-year hiatus was... interesting. I chose Next.js, Neon Postgres and Vercel for their simplicity and performance. The developer experience blew me away - the ecosystem has matured incredibly. What started as a weekend project turned into a genuine love affair with modern JS tooling. The productivity boost from Next.js's app router and Neon's serverless Postgres made development feel effortless. Combined with Cursor, I got something built pretty quickly.

I started with a simple premise: strip away everything that doesn't directly help users find the right tools. No ads. No sponsored listings. Just blazing-fast search and real performance data. The focus on speed and simplicity resonated immediately - our first users were other engineering teams facing the same frustrations.

What's Working Today

Instant search that actually works (thanks, Next.js and Typesense!)

Clean, distraction-free interface

Curated, weekly newsletter

Automated monitoring that catches tool updates within hours

Looking Forward, we're building some exciting features:

Verified reviews from actual tool users

Deep technical comparisons between similar tools

Company and product performance metrics and technical deep-dives

Lessons Learned The biggest takeaway? Ship fast, but ship quality. While other directories chase feature bloat, we're staying focused on what engineers actually need. Every feature decision starts with "Does this help users find better tools faster?"

Would love to hear your experiences with AI tool discovery and what metrics would help you make better decisions. 

Check out AI Pulse

[aitoolswhitehattoolbox]

Sr Software Engineer (Java)

& Frameworks: Java with Spring Boot Databases: SQL Server and Postgres DevOps & Tools: GitLab, Jira, and Dynatrace… Development Qualifications What You Will Have 5+ years of experience building backend software with Java Experience… Apply Now