#Node Media Server

[tsubakicraft]

今日の文書化〜Node Media Server

NginxでRTMPモジュールを使ったサーバーを作るための文書を書いたので、ついでにNode Media…

[river-taxbird]

What does AI actually look like?

There has been a lot of talk about the negative externalities of AI, how much power it uses, how much water it uses, but I feel like people often discuss these things like they are abstract concepts, or people discuss AI like it is this intangible thing that exists off in "The cloud" somewhere, but I feel like a lot of people don't know what the infrastructure of AI actually is, and how it uses all that power and water, so I would like to recommend this video from Linus Tech Tips, where he looks at a supercomputer that is used for research in Canada. To be clear I do not have anything against supercomputers in general and they allow important work to be done, but before the AI bubble, you didn't need one, unless you needed it. The recent AI bubble is trying to get this stuff into the hands of way more people than needed them before, which is causing a lot more datacenter build up, which is causing their companies to abandon climate goals. So what does AI actually look like?

First of all, it uses a lot of hardware. It is basically normal computer hardware, there is just a lot of it networked together.

Hundreds of hard drives all spinning constantly

Each one of the blocks in this image is essentially a powerful PC, that you would still be happy to have as your daily driver today even though the video is seven years old. There are 576 of them, and other more powerful compute nodes for bigger datasets.

The GPU section, each one of these drawers contains like four datacenter level graphics cards. People are fitting a lot more of them into servers now than they were then.

Now for the cooling and the water. Each cabinet has a thick door, with a water cooled radiator in it. In summer, they even spray water onto the radiator directly so it can be cooled inside and out.

They are all fed from the pump room, which is the floor above. A bunch of pumps and pipes moving the water around, and it even has cooling towers outside that the water is pumped out into on hot days.

So is this cool? Yes. Is it useful? Also yes. Anyone doing biology, chemistry, physics, simulations, even stuff like social sciences, and even legitimate uses of analytical ai is glad stuff like this exists. It is very useful for analysing huge datasets, but how many people actually do that? Do you? The same kind of stuff is also used for big websites with youtube. But the question is, is it worth building hundreds more datacenters just like this one, so people can automatically generate their emails, have an automatic source of personal attention from a computer, and generate incoherent images for social media clicks? Didn't tech companies have climate targets, once?

[canmom]

Hypothetical Decentralised Social Media Protocol Stack

if we were to dream up the Next Social Media from first principles we face three problems. one is scaling hosting, the second is discovery/aggregation, the third is moderation.

hosting

hosting for millions of users is very very expensive. you have to have a network of datacentres around the world and mechanisms to sync the data between them. you probably use something like AWS, and they will charge you an eye-watering amount of money for it. since it's so expensive, there's no way to break even except by either charging users to access your service (which people generally hate to do) or selling ads, the ability to intrude on their attention to the highest bidder (which people also hate, and go out of their way to filter out). unless you have a lot of money to burn, this is a major barrier.

the traditional internet hosts everything on different servers, and you use addresses that point you to that server. the problem with this is that it responds poorly to sudden spikes in attention. if you self-host your blog, you can get DDOSed entirely by accident. you can use a service like cloudflare to protect you but that's $$$. you can host a blog on a service like wordpress, or a static site on a service like Github Pages or Neocities, often for free, but that broadly limits interaction to people leaving comments on your blog and doesn't have the off-the-cuff passing-thought sort of interaction that social media does.

the middle ground is forums, which used to be the primary form of social interaction before social media eclipsed them, typically running on one or a few servers with a database + frontend. these are viable enough, often they can be run with fairly minimal ads or by user subscriptions (the SomethingAwful model), but they can't scale indefinitely, and each one is a separate bubble. mastodon is a semi-return to this model, with the addition of a means to use your account on one bubble to interact with another ('federation').

the issue with everything so far is that it's an all-eggs-in-one-basket approach. you depend on the forum, instance, or service paying its bills to stay up. if it goes down, it's just gone. and database-backend models often interact poorly with the internet archive's scraping, so huge chunks won't be preserved.

scaling hosting could theoretically be solved by a model like torrents or IPFS, in which every user becomes a 'server' for all the posts they download, and you look up files using hashes of the content. if a post gets popular, it also gets better seeded! an issue with that design is archival: there is no guarantee that stuff will stay on the network, so if nobody is downloading a post, it is likely to get flushed out by newer stuff. it's like link rot, but it happens automatically.

IPFS solves this by 'pinning': you order an IPFS node (e.g. your server) not to flush a certain file so it will always be available from at least one source. they've sadly mixed this up in cryptocurrency, with 'pinning services' which will take payment in crypto to pin your data. my distaste for a technology designed around red queen races aside, I don't know how pinning costs compare to regular hosting costs.

theoretically you could build a social network on a backbone of content-based addressing. it would come with some drawbacks (posts would be immutable, unless you use some indirection to a traditional address-based hosting) but i think you could make it work (a mix of location-based addressing for low-bandwidth stuff like text, and content-based addressing for inline media). in fact, IPFS has the ability to mix in a bit of address-based lookup into its content-based approach, used for hosting blogs and the like.

as for videos - well, BitTorrent is great for distributing video files. though I don't know how well that scales to something like Youtube. you'd need a lot of hard drive space to handle the amount of Youtube that people typically watch and continue seeding it.

aggregation/discovery

the next problem is aggregation/discovery. social media sites approach this problem in various ways. early social media sites like LiveJournal had a somewhat newsgroup-like approach, you'd join a 'community' and people would post stuff to that community. this got replaced by the subscription model of sites like Twitter and Tumblr, where every user is simultaneously an author and a curator, and you subscribe to someone to see what posts they want to share.

this in turn got replaced by neural network-driven algorithms which attempt to guess what you'll want to see and show you stuff that's popular with whatever it thinks your demographic is. that's gotta go, or at least not be an intrinsic part of the social network anymore.

it would be easy enough to replicate the 'subscribe to see someone's recommended stuff' model, you just need a protocol for pointing people at stuff. (getting analytics such as like/reblog counts would be more difficult!) it would probably look similar to RSS feeds: you upload a list of suitably formatted data, and programs which speak that protocol can download it.

the problem of discovery - ways to find strangers who are interested in the same stuff you are - is more tricky. if we're trying to design this as a fully decentralised, censorship-resistant network, we face the spam problem. any means you use to broadcast 'hi, i exist and i like to talk about this thing, come interact with me' can be subverted by spammers. either you restrict yourself entirely to spreading across a network of curated recommendations, or you have to have moderation.

moderation

moderation is one of the hardest problems of social networks as they currently exist. it's both a problem of spam (the posts that users want to see getting swamped by porn bots or whatever) and legality (they're obliged to remove child porn, beheading videos and the like). the usual solution is a combination of AI shit - does the robot think this looks like a naked person - and outsourcing it to poorly paid workers in (typically) African countries, whose job is to look at reports of the most traumatic shit humans can come up with all day and confirm whether it's bad or not.

for our purposes, the hypothetical decentralised network is a protocol to help computers find stuff, not a platform. we can't control how people use it, and if we're not hosting any of the bad shit, it's not on us. but spam moderation is a problem any time that people can insert content you did not request into your feed.

possibly this is where you could have something like Mastodon instances, with their own moderation rules, but crucially, which don't host the content they aggregate. so instead of having 'an account on an instance', you have a stable address on the network, and you submit it to various directories so people can find you. by keeping each one limited in scale, it makes moderation more feasible. this is basically Reddit's model: you have topic-based hubs which people can subscribe to, and submit stuff to.

the other moderation issue is that there is no mechanism in this design to protect from mass harassment. if someone put you on the K*w*f*rms List of Degenerate Trannies To Suicidebait, there'd be fuck all you can do except refuse to receive contact from strangers. though... that's kind of already true of the internet as it stands. nobody has solved this problem.

to sum up

primarily static sites 'hosted' partly or fully on IPFS and BitTorrent

a protocol for sharing content you want to promote, similar to RSS, that you can aggregate into a 'feed'

directories you can submit posts to which handle their own moderation

no ads, nobody makes money off this

honestly, the biggest problem with all this is mostly just... getting it going in the first place. because let's be real, who but tech nerds is going to use a system that requires you to understand fuckin IPFS? until it's already up and running, this idea's got about as much hope as getting people to sign each others' GPG keys. it would have to have the sharp edges sanded down, so it's as easy to get on the Hypothetical Decentralised Social Network Protocol Stack as it is to register an account on tumblr.

but running over it like this... I don't think it's actually impossible in principle. a lot of the technical hurdles have already been solved. and that's what I want the Next Place to look like.

[rootresident]

Self Hosting

I haven't posted here in quite a while, but the last year+ for me has been a journey of learning a lot of new things. This is a kind of 'state-of-things' post about what I've been up to for the last year.

I put together a small home lab with 3 HP EliteDesk SFF PCs, an old gaming desktop running an i7-6700k, and my new gaming desktop running an i7-11700k and an RTX-3080 Ti.

"Using your gaming desktop as a server?" Yep, sure am! It's running Unraid with ~7TB of storage, and I'm passing the GPU through to a Windows VM for gaming. I use Sunshine/Moonlight to stream from the VM to my laptop in order to play games, though I've definitely been playing games a lot less...

On to the good stuff: I have 3 Proxmox nodes in a cluster, running the majority of my services. Jellyfin, Audiobookshelf, Calibre Web Automated, etc. are all running on Unraid to have direct access to the media library on the array. All told there's 23 docker containers running on Unraid, most of which are media management and streaming services. Across my lab, I have a whopping 57 containers running. Some of them are for things like monitoring which I wouldn't really count, but hey I'm not going to bother taking an effort to count properly.

The Proxmox nodes each have a VM for docker which I'm managing with Portainer, though that may change at some point as Komodo has caught my eye as a potential replacement.

All the VMs and LXC containers on Proxmox get backed up daily and stored on the array, and physical hosts are backed up with Kopia and also stored on the array. I haven't quite figured out backups for the main storage array yet (redundancy != backups), because cloud solutions are kind of expensive.

You might be wondering what I'm doing with all this, and the answer is not a whole lot. I make some things available for my private discord server to take advantage of, the main thing being game servers for Minecraft, Valheim, and a few others. For all that stuff I have to try and do things mostly the right way, so I have users managed in Authentik and all my other stuff connects to that. I've also written some small things here and there to automate tasks around the lab, like SSL certs which I might make a separate post on, and custom dashboard to view and start the various game servers I host. Otherwise it's really just a few things here and there to make my life a bit nicer, like RSSHub to collect all my favorite art accounts in one place (fuck you Instagram, piece of shit).

It's hard to go into detail on a whim like this so I may break it down better in the future, but assuming I keep posting here everything will probably be related to my lab. As it's grown it's definitely forced me to be more organized, and I promise I'm thinking about considering maybe working on documentation for everything. Bookstack is nice for that, I'm just lazy. One day I might even make a network map...

[govindhtech]

Intel VTune Profiler For Data Parallel Python Applications

Intel VTune Profiler tutorial

This brief tutorial will show you how to use Intel VTune Profiler to profile the performance of a Python application using the NumPy and Numba example applications.

Analysing Performance in Applications and Systems

For HPC, cloud, IoT, media, storage, and other applications, Intel VTune Profiler optimises system performance, application performance, and system configuration.

Optimise the performance of the entire application not just the accelerated part using the CPU, GPU, and FPGA.

Profile SYCL, C, C++, C#, Fortran, OpenCL code, Python, Google Go, Java,.NET, Assembly, or any combination of languages can be multilingual.

Application or System: Obtain detailed results mapped to source code or coarse-grained system data for a longer time period.

Power: Maximise efficiency without resorting to thermal or power-related throttling.

VTune platform profiler

It has following Features.

Optimisation of Algorithms

Find your code’s “hot spots,” or the sections that take the longest.

Use Flame Graph to see hot code routes and the amount of time spent in each function and with its callees.

Bottlenecks in Microarchitecture and Memory

Use microarchitecture exploration analysis to pinpoint the major hardware problems affecting your application’s performance.

Identify memory-access-related concerns, such as cache misses and difficulty with high bandwidth.

Inductors and XPUs

Improve data transfers and GPU offload schema for SYCL, OpenCL, Microsoft DirectX, or OpenMP offload code. Determine which GPU kernels take the longest to optimise further.

Examine GPU-bound programs for inefficient kernel algorithms or microarchitectural restrictions that may be causing performance problems.

Examine FPGA utilisation and the interactions between CPU and FPGA.

Technical summary: Determine the most time-consuming operations that are executing on the neural processing unit (NPU) and learn how much data is exchanged between the NPU and DDR memory.

In parallelism

Check the threading efficiency of the code. Determine which threading problems are affecting performance.

Examine compute-intensive or throughput HPC programs to determine how well they utilise memory, vectorisation, and the CPU.

Interface and Platform

Find the points in I/O-intensive applications where performance is stalled. Examine the hardware’s ability to handle I/O traffic produced by integrated accelerators or external PCIe devices.

Use System Overview to get a detailed overview of short-term workloads.

Multiple Nodes

Describe the performance characteristics of workloads involving OpenMP and large-scale message passing interfaces (MPI).

Determine any scalability problems and receive suggestions for a thorough investigation.

Intel VTune Profiler

To improve Python performance while using Intel systems, install and utilise the Intel Distribution for Python and Data Parallel Extensions for Python with your applications.

Configure your Python-using VTune Profiler setup.

To find performance issues and areas for improvement, profile three distinct Python application implementations. The pairwise distance calculation algorithm commonly used in machine learning and data analytics will be demonstrated in this article using the NumPy example.

The following packages are used by the three distinct implementations.

Numpy Optimised for Intel

NumPy’s Data Parallel Extension

Extensions for Numba on GPU with Data Parallelism

Python’s NumPy and Data Parallel Extension

By providing optimised heterogeneous computing, Intel Distribution for Python and Intel Data Parallel Extension for Python offer a fantastic and straightforward approach to develop high-performance machine learning (ML) and scientific applications.

Added to the Python Intel Distribution is:

Scalability on PCs, powerful servers, and laptops utilising every CPU core available.

Assistance with the most recent Intel CPU instruction sets.

Accelerating core numerical and machine learning packages with libraries such as the Intel oneAPI Math Kernel Library (oneMKL) and Intel oneAPI Data Analytics Library (oneDAL) allows for near-native performance.

Tools for optimising Python code into instructions with more productivity.

Important Python bindings to help your Python project integrate Intel native tools more easily.

Three core packages make up the Data Parallel Extensions for Python:

The NumPy Data Parallel Extensions (dpnp)

Data Parallel Extensions for Numba, aka numba_dpex

Tensor data structure support, device selection, data allocation on devices, and user-defined data parallel extensions for Python are all provided by the dpctl (Data Parallel Control library).

It is best to obtain insights with comprehensive source code level analysis into compute and memory bottlenecks in order to promptly identify and resolve unanticipated performance difficulties in Machine Learning (ML),  Artificial Intelligence ( AI), and other scientific workloads. This may be done with Python-based ML and AI programs as well as C/C++ code using Intel VTune Profiler. The methods for profiling these kinds of Python apps are the main topic of this paper.

Using highly optimised Intel Optimised Numpy and Data Parallel Extension for Python libraries, developers can replace the source lines causing performance loss with the help of Intel VTune Profiler, a sophisticated tool.

Setting up and Installing

1. Install Intel Distribution for Python

2. Create a Python Virtual Environment

   python -m venv pyenv

   pyenv\Scripts\activate

3. Install Python packages

   pip install numpy

   pip install dpnp

   pip install numba

   pip install numba-dpex

   pip install pyitt

Make Use of Reference Configuration

The hardware and software components used for the reference example code we use are:

Software Components:

dpnp 0.14.0+189.gfcddad2474

mkl-fft 1.3.8

mkl-random 1.2.4

mkl-service 2.4.0

mkl-umath 0.1.1

numba 0.59.0

numba-dpex 0.21.4

numpy 1.26.4

pyitt 1.1.0

Operating System:

Linux, Ubuntu 22.04.3 LTS

CPU:

Intel Xeon Platinum 8480+

GPU:

Intel Data Center GPU Max 1550

The Example Application for NumPy

Intel will demonstrate how to use Intel VTune Profiler and its Intel Instrumentation and Tracing Technology (ITT) API to optimise a NumPy application step-by-step. The pairwise distance application, a well-liked approach in fields including biology, high performance computing (HPC), machine learning, and geographic data analytics, will be used in this article.

Summary

The three stages of optimisation that we will discuss in this post are summarised as follows:

Step 1: Examining the Intel Optimised Numpy Pairwise Distance Implementation: Here, we’ll attempt to comprehend the obstacles affecting the NumPy implementation’s performance.

Step 2: Profiling Data Parallel Extension for Pairwise Distance NumPy Implementation: We intend to examine the implementation and see whether there is a performance disparity.

Step 3: Profiling Data Parallel Extension for Pairwise Distance Implementation on Numba GPU: Analysing the numba-dpex implementation’s GPU performance

Boost Your Python NumPy Application

Intel has shown how to quickly discover compute and memory bottlenecks in a Python application using Intel VTune Profiler.

Intel VTune Profiler aids in identifying bottlenecks’ root causes and strategies for enhancing application performance.

It can assist in mapping the main bottleneck jobs to the source code/assembly level and displaying the related CPU/GPU time.

Even more comprehensive, developer-friendly profiling results can be obtained by using the Instrumentation and Tracing API (ITT APIs).

Read more on govindhtech.com

[deramin2]

This is so true. Humans were simply not designed to operate at this scale. It inherently derealizes and dehumanizes the contact because everyone turns into amorphous mush instead of individuals with context.

Even FARK—a specialized forum that aggregated political stories through user submissions with humorous alternate headlines—always had the context that you were on FARK talking to other political shittpost lovers. You might think they were a tool asshole, but they were still much closer to your type of tool asshole instead of complete randos. And there was always the ability to shut shit down if it started going to far.

Forum users bitched endlessly about power-mad mods unfairly wielding the ban hammer, but it turns out that was significantly better than life without the ban hammer.

At least with forums it was easier to pack up and leave when you and your buddies disagreed with moderation decisions. You could always go make your own. They weren't hard to set up and had relatively low hosting cost. And mods could always cut off new signups if they got overwhelmed. Decentralization was a huge benefit.

Rudy Fraser's Blacksky service set on Bluesky's AT Protocol represents to me the best possible reimagining of forum-style moderation for the social media age. Bluesky site moderators do their best (and hopefully improve), but natively built-in 3rd party moderation services give people way more personal control of who they want moderating their feeds. If people want moderation asked feed curation targeted towards supporting the Black experience of social media, they can choose the Blacksky services.

Just a few days ago Blacksky successfully launched their own atproto relay. Their own servers hosting and transmitting account data for users signed up to Blacksky instead of Bluesky-the-company's severs while maintaining seamless integration. If Bluesky failed tomorrow, the tools now exist for independent network nodes to connect and work together.

That was the promise of Mastodon, but the AT Protocol is much easier for users and moderation networks to work together. Various structures make it easier for users to leave bad mods without a lot of hassle. So far resulting in fewer power-tripping mods siloing users in invisible ways, and far more popular onboarding to get started.

I'm not Black so I don't have access to the Blacksky feeds and such, but I do subscribe too their moderation feeds and it's so much easier to interact with Black users when their threads aren't full of racist abusers enabling each other. I don't see that shit, the Black people I follow who also use Blacksky's services aren't seeing that shit, they mostly do not have access to use it through us, and it's way easier to use post response controls to lock down any nonsense that does start up before it can get too far.

As a disabled trans/ace/gay guy, it's been a real boon to not drain all my spoons dealing with assholes. I'm less angry (thus less prone to being an asshole in response), and I'm not constantly dealing with hostile bigoted site moderators targeting my posts. Love seeing trans women thrive in a space for once, too.

Bluesky's structurally been far more thoughtful about what did and didn't work everywhere else, and making sure they developed for safety from the get go instead of slapping something over the cracks later.

Socially it was a lot better, but the influx of Twitter migrants combined with the nightmarish reality of politics with Donald Trump seizing power inn the US have made people's lot more stressed and pissed off. Even still, it's a small fraction of the bad behaviour on Twitter.

There's truely a detox period where people leaving Twitter have to readjust to life when they're not constantly having to fight to survive. Independent moderation services have played a huge role in keeping things in check. It's much easier for me to do my own blocking and muting for largely petty reasons when multiple services are handling the specific types of chuds I don't want to see (or at least have labeled so I know what they're known to be up to like The Guardian's transphobia).

Time will tell if it all holds up, but it's been far and away the best moderation experience I've had since the forum days. Unfortunately, I still favor Tumblr wit, deep site cultural history, and entrenched fandoms, so attention is split. But I truely believe this is a viable alternative for the future as corporate social media crumbles under the weight of its own moderation failures.

So I agree that there's no current fully sustainable model for social media moderation, but take heart that it is under development in joyously experimental phases that have shown tremendous promise. Centralization on corporate walled-garden ad-poisoned social media got us into this mess, but decentralization is catching back up as people realize this is bad and they don't want to live like this anymore. And this time it's not being led by cishet white men who think they know everyone else's needs better than they do.

there's just no sustainable model for moderation at scale for social media. we really were better off with forums.

i will acknowledge the forums heyday was a time before everyone was On Line with smartphones. You had to go sit down on The Computer or the laptop to use it. Times have changed.

there was simply a smaller chud to moderator ratio back then. and i accept that you cant go back to less people online, but that just demonstrates the issue of scale

forums were small enough that the moderator team were people who knew each other and were accountable for their moderation decisions. they werent unknown people in an offshore content moderation setup. they had an investment in being part of the community and the context to make decisions. plus the lower volume of reports to be able to dedicate time to make a more measured judgement

social networks today have a completely unmanageable chud to moderator ratio. moderators are largely contractors with no connection to the place they're moderating. and the worst part: social networks prioritize DAUs over everything else. they will go easy on banning chuds because chuds look at ads and the network gets money. who cares if they make other users miserable? they keep coming back!

look how much had to happen to twitter to get people to start leaving. the rot in that place set in YEARS before elon bought the place yet there's still holders-on.

on a forum, someone breaks the rules they get banned. you get a big fat "USER WAS BANNED FOR THIS POST" on the post that did them in and i will bet my balls that reprimand did more for keeping the place civil than any "community note" ever has

[lunarsilkscreen]

The typical Mobile-App Node/Firebase Model

Every mobile-app uses more or less the same model. And due to "Concurrent Connect Money Model" that is; the number of users that can be connected to your "backend" at any one time impacts the cost of your "database-like".

Backend-services charge *both* on data-storage AND simultaneous users. I suspect this has to do with the number of Millennials who downloaded [whole ass cars] so they could get to the movies or a concert or something.

The template they use is something like this;

[User ID]{ Name::string, FreeCurrency1::integer, FreeCurrency2::integer, ChatStats{complex object}, inventory::[array], etc...}

For logins, however; they have a supplemental datasheet:

[Login] {user::{id,password,email,phone number,social media, RMTCurrency(fake money you bought with real money)}

The business model requires that a lot of *stuff* is done on the user's device. Because of the [Concurrent Connections] thing.

So it's limited to transactional Commands sent to the server via {RESTful API}(which is just a fancy of way of saying HTTP).

So the commands to the server are kind of like;

[sign up,login,Google/Apple pay{me money}, perform action(action_name)]

With a lot of the in-game logic being performed user side and verified by the backend. I suspect that many newbie app developers aren't too concerned with security and so a lot of "verifications" are done dumbly.

Again; cuz of the concurrent Connection thing. Otherwise they run the risk of server-slowdown when they're at the max connection.

A few apps in particular even have "AI" users that a player can recruit that are simply externally connected NPCs. Players run by AI, instead of AI run on the backend.

Because of this you see MobileApp developers follow *the same* process when developing new content.

"Add a currency value related to new content, and then worry about all the frontend stuff later"

Because they're all connected to the [pay me money] button; pretty much all in-game currencies can be purchased *somehow*.

I highly suspect that the lack of "developer-user friendly interfaces" for modern backend-services *coughFireBasecoughcoughAWScough* effectively serve as a limiting factor for developer ability to use the platform creatively.

Limiting the kinds of apps that *can* be developed *because* most developers don't really understand the backend service of what it's doing.

There's a lack of good backend interface tools that would accomplish this.

Because; and I can't stress this enough; there's *no money* in customer service, and allowing developers to create their own *interfaces* is a potential security risk.

It's odd, because many devs already understand DataSheets(spreadsheets) AND the JSON (JavaScript object notation) model... Yet dealing with these services is harder than using Microsoft Excel... Which; I think that's a good metric; if your DataSheet software is harder to understand than Excel--that makes it bad.

Part of this has to deal with JSON being *more* complex than traditional SQL(talking to databases language) yet... It's also because of Large Software Enterprises buying as much as they can of the landscape.

Google, on their own, has *several* database-solutions ALL with their own notation, niche-usecases, and none of them are cross-compatible unless you pay a Google dev to build it.

And none of those solutions are *really focused* on... Being intuitive or usable.

Firebase, before Google, was on its way to being a respectable backend utility. Yet, I'm still wondering *why* the current ecosystem is *so much more of a mess* than traditional SQL solutions.

Half of the affor-mentioned services still use SQL after-all ... Why are they harder to understand than SQL?

Anyone familiar with JavaScript or Excel should be able to pick up your *backend service* and run with it. Yet... A lot of those people who *do* don't understand these services.

It's hard to say it's not intentional or a monopolized ecosystem that hinders growth and improvement.

[sophiejt1234]

Secure Your NFTs with Smarter Storage Options in 2025

Introduction

In the past few years, non-fungible tokens (NFTs) have opened up a world of creative expression, digital ownership, and new business models. But alongside their rise, we’ve seen hacks, lost keys, and vulnerable storage solutions jeopardize prized digital assets. As we move into 2025, it’s more important than ever to use smarter, more secure ways to keep your NFTs safe. Whether you’re an artist minting your first token or a company offering NFT development solutions, understanding the landscape of wallet and storage options will help you protect your investments and creations.

Understanding the Risks: Why Secure Storage Matters for Your NFTs

When you mint an NFT, you’re really creating a record on a distributed ledger that points to a piece of content—an image, a video, or even a 3D model. But that on‑chain record often links to off‑chain data, stored somewhere on the internet. If that data disappears or if your private key is compromised, your NFT could become impossible to sell—or worse, someone else could claim it as theirs. Common risks include:

Key theft or loss: If you store your private key on an internet‑connected computer without extra protection, a hacker or malware can swipe it.

Service outages: Some NFT marketplaces or storage services go offline temporarily—or permanently—leaving your assets unreachable.

Link rot: When the server hosting your NFT’s actual media goes down, your token may only point to an empty URL.

Knowing these pitfalls is the first step. Next, let’s explore smarter ways to keep your NFTs safe in 2025.

Smarter Storage Options for Your NFTs in 2025

1. Hardware Wallets (Cold Storage)

Hardware wallets remain the gold standard for securing private keys. Devices like Ledger or Trezor store your keys in a tamper‑resistant chip, completely offline. Even if your computer is infected, the hacker can’t access the key without physical possession of the device. When you combine a hardware wallet with a passphrase and backup seed phrase stored in a safe, you’ve locked down your NFTs in a way that’s nearly unbreakable.

2. Software Wallets (Hot Wallets) with Enhanced Security Features

Hot wallets are more convenient because they connect directly to websites and apps. However, simple browser extensions or mobile apps aren’t enough anymore. Look for wallets that offer:

Multi‑factor authentication (MFA): A second device or biometric check to approve transactions.

Behavioral alerts: Warnings when a transaction looks unusual or the destination address isn’t recognized.

Built‑in recovery tools: Encrypted cloud backups or social recovery systems that let you designate trusted contacts who can help restore access.

These advanced features help bridge convenience and safety, so you’re not left choosing one over the other.

3. Smart Wallets: The Future of NFT Storage?

Smart wallets take hot wallets a step further by embedding programmable rules directly into your key management. Imagine a wallet that only allows transfers during certain hours, or one that splits approvals among multiple guardians. While still an emerging field, these wallets promise a more dynamic way to manage risk. They often come with a user‑friendly interface, making it easier for creators and collectors alike to handle security without needing a deep technical background.

4. Exploring Decentralized Storage Solutions like IPFS for NFTs

Traditional web servers can fail or go offline, but decentralized networks replicate data across many nodes. Two popular options for NFT content storage are:

Arweave NFT storage: Uses a “pay once, store forever” model. By paying a small fee upfront, your data lives on permanently, anchored by a blockchain‑based endowment. This ensures your artwork or media stays intact even if the original creator’s website goes down.

Storj NFT storage: Splits files into encrypted pieces and stores them across a peer‑to‑peer network. Since no single server holds the whole file, there’s no single point of failure. And redundancy means your content is retrievable even if some nodes disappear.

Integrating these decentralized storage layers adds an extra shield against link rot and centralized outages, reinforcing the on‑chain ownership with off‑chain resilience.

Best Practices for Securing Your NFTs in 2025: A Comprehensive Guide

Use a Reputable NFT Development Company for Your Platform If you’re building your own marketplace or minting service, partner with experts in NFT platform development. They’ll know how to integrate secure key management and decentralized storage options from the ground up.

Adopt a “Layered Defense” Approach Combine cold storage (hardware wallets) for long‑term holdings with hot wallets that have strong MFA and alerts for day‑to‑day transactions.

Regularly Update and Audit Your Tools Whether it’s a wallet app or a backend SDK for blockchain NFT development, keep everything up to date. Developers of NFT blockchain development tools often patch vulnerabilities—install these fixes promptly.

Practice Safe Backup Habits Store seed phrases and recovery information in multiple offline locations. Avoid digital photos or cloud notes that can be hacked. A fireproof safe or a trusted third‑party vault works best.

Educate Your Team and Community Phishing remains a top attack vector. Offer clear, human‑friendly guides on how to verify URLs, recognize impostor emails, and never share private keys.

Plan for the Unexpected Use social recovery or multi‑signature wallets so that if one key is lost, designated guardians or co‑signers can help regain control without compromising total security.

Conclusion

As NFTs continue to redefine digital ownership and creative business models in 2025, how you store and secure them is just as vital as the art or utility they represent. By combining hardware wallets, advanced hot wallets, programmable smart wallets, and decentralized storage solutions like Arweave NFT storage and Storj NFT storage, you build a multi‑layered fortress around your assets. Working with a seasoned NFT development company or leveraging robust NFT development solutions ensures your platform or project follows best practices from the start. Keep your tools updated, educate your network, and always plan for recovery. With these steps in place, you can enjoy the freedom and potential of NFTs, knowing your digital treasures are protected for years to come.

[unpluggedfinancial]

Decentralized or Die Trying

The fight was never really left versus right. That is just the surface-level distraction. The real divide is control versus autonomy, centralization versus decentralization. That is the war happening beneath your feet, and most people do not even know it is being fought.

You were born into a system that was not built to set you free. It was built to keep you docile, obedient, and dependent. Schools teach conformity, not curiosity. Banks teach you to stay in debt, not to build wealth. Media teaches you fear, not understanding. And governments? They teach you to stay in line, not to question the rules of the game.

But some of us have stopped waiting for permission. We are not asking for a better system, we are building one.

There is a quiet revolution unfolding. People are walking away from broken systems and constructing their own alternatives from the ground up.

They are choosing Bitcoin over fiat. They are embracing self-custody instead of chasing credit scores. They are running nodes instead of trusting centralized authorities. They are homesteading, installing solar panels, growing their own food, and teaching their children to question everything they see and hear.

Even the internet, the very platform you are reading this on, was quietly shaped by decentralization. Linux, the open-source operating system, is the silent giant behind much of the internet. Built by a global community of developers who believed in collaboration over control, Linux now powers everything from servers to smartphones. No marketing campaign made that happen. No corporation mandated it. It was simply the best idea, and it spread like wildfire because it was open, accessible, and fair.

And now Bitcoin is doing for money what Linux did for information. It is removing the gatekeepers. It is replacing permission with protocol. It is unleashing financial freedom the same way Linux unleashed digital freedom.

We are not just witnessing a trend or another technological wave. This is a paradigm shift. A mass awakening. A growing realization that you do not have to play a rigged game when you can build a new one.

Legacy institutions are panicking. You can see it in their scramble: central bank digital currencies, mandatory digital IDs, surveillance tech packaged as convenience. They are desperately trying to keep people inside the system by making the cage more comfortable. But the truth is out. The door is open. And people are walking out.

This movement is not about gadgets or hype. It is about truth. It is about reclaiming the right to live without being watched, taxed, manipulated, or controlled. It is about freedom that does not come from elections or permissions, but from education, intention, and action.

So take the tools. Use them. Share them.

Stack sats. Run a node. Flash a Raspberry Pi with Linux. Learn to grow your own food. Pick up a trade skill. Talk to your neighbors. Educate your friends. Build networks that are too distributed to be shut down and too local to be ignored.

Because the future does not belong to the centralized. It belongs to the builders. The rebels. The ones who said enough is enough and started crafting a new reality from the ground up.

Decentralized or die trying.

Take Action Towards Financial Independence

If this article has sparked your interest in the transformative potential of Bitcoin, there’s so much more to explore! Dive deeper into the world of financial independence and revolutionize your understanding of money by following my blog and subscribing to my YouTube channel.

🌐 Blog: Unplugged Financial Blog Stay updated with insightful articles, detailed analyses, and practical advice on navigating the evolving financial landscape. Learn about the history of money, the flaws in our current financial systems, and how Bitcoin can offer a path to a more secure and independent financial future.

📺 YouTube Channel: Unplugged Financial Subscribe to our YouTube channel for engaging video content that breaks down complex financial topics into easy-to-understand segments. From in-depth discussions on monetary policies to the latest trends in cryptocurrency, our videos will equip you with the knowledge you need to make informed financial decisions.

👍 Like, subscribe, and hit the notification bell to stay updated with our latest content. Whether you’re a seasoned investor, a curious newcomer, or someone concerned about the future of your financial health, our community is here to support you on your journey to financial independence.

📚 Get the Book: The Day The Earth Stood Still 2.0 For those who want to take an even deeper dive, my book offers a transformative look at the financial revolution we’re living through. The Day The Earth Stood Still 2.0 explores the philosophy, history, and future of money, all while challenging the status quo and inspiring action toward true financial independence.

Support the Cause

If you enjoyed what you read and believe in the mission of spreading awareness about Bitcoin, I would greatly appreciate your support. Every little bit helps keep the content going and allows me to continue educating others about the future of finance.

Donate Bitcoin: 

bc1qpn98s4gtlvy686jne0sr8ccvfaxz646kk2tl8lu38zz4dvyyvflqgddylk

[pcrtisuyog]

Mastering Full Stack Web Development: From Frontend Frameworks to Backend Brilliance

In today’s digital-first world, websites and web applications are the lifeblood of almost every industry. From e-commerce platforms to social media, to enterprise-level dashboards—everything runs on web technology. But have you ever wondered what goes into making these sleek, functional digital experiences? The answer lies in full stack web development.

Mastering Full Stack Web Development: From Frontend Frameworks to Backend Brilliance is no longer just a fancy tagline; it’s a career pathway that’s brimming with potential. Whether you're a student, a budding developer, or someone looking to switch careers, understanding how both the front and back end of a website work can set you apart in the tech world.

Let’s explore the fascinating world of full stack development, break down what it entails, and understand why programs like Full Stack by TechnoBridge are gaining popularity.

What is Full Stack Web Development?

In simple terms, full stack web development refers to the ability to work on both the frontend and backend of a website or web application. The “frontend” is what users interact with—buttons, navigation bars, forms, etc. The “backend” is what happens behind the scenes—databases, servers, and APIs that make the frontend functional.

A full stack developer, therefore, is a versatile professional who can handle:

Frontend Development (HTML, CSS, JavaScript, frameworks like React or Angular)

Backend Development (Node.js, Django, Ruby on Rails, etc.)

Database Management (MySQL, MongoDB, PostgreSQL)

Version Control Systems (like Git)

API Integration and Development

DevOps and Deployment (CI/CD pipelines, cloud services like AWS or Azure)

Why Should You Learn Full Stack Web Development?

In a job market where companies look for agile, multitasking professionals, being skilled in full stack web development offers many advantages:

Higher Employability: Companies prefer developers who can understand and manage both ends of a project.

More Project Control: You can build entire applications yourself without relying heavily on others.

Lucrative Salaries: Full stack developers are in high demand and command competitive salaries globally.

Freelance Opportunities: Freelancers who know the full stack can take on diverse and well-paying projects.

Start-Up Edge: Planning to launch your own app or product? Full stack knowledge helps you build a minimum viable product (MVP) independently.

The Learning Journey – From Frontend Frameworks to Backend Brilliance

1. Frontend Foundations

Start with the building blocks:

HTML & CSS – For structuring and styling your pages.

JavaScript – To make your site interactive.

Frameworks like React, Vue, or Angular – To streamline your frontend development process.

2. Backend Logic and Servers

This is where the heavy lifting happens:

Node.js – JavaScript on the server-side.

Express.js – A minimalist web framework for Node.

Django or Flask (if you're into Python) – Powerful tools for backend logic.

3. Databases and Data Handling

You’ll need to store and retrieve data:

SQL Databases – MySQL, PostgreSQL

NoSQL Databases – MongoDB

ORMs – Like Sequelize or Mongoose to manage data access

4. Deployment and Version Control

Finally, make your app live:

Git & GitHub – For tracking and collaborating on code.

Heroku, Vercel, or AWS – For deploying your applications.

Learning with Purpose: Full Stack by TechnoBridge

If you're overwhelmed by where to start, you're not alone. That’s where guided programs like Full Stack by TechnoBridge come in.

Full Stack by TechnoBridge isn’t just a course—it’s a mentorship-driven, industry-relevant program designed for beginners and intermediate learners alike. It focuses on hands-on experience, real-time projects, and placement support.

Here’s what sets Full Stack by TechnoBridge apart:

Curriculum curated by industry experts

Live project-based training

Mock interviews and resume building

Certification recognized by top employers

Placement assistance with real job opportunities

Real Success Stories

Many students who completed Full Stack by TechnoBridge have landed roles in top tech firms or started their freelance careers confidently. Their journey reflects how structured learning and the right guidance can fast-track your career.

Final Thoughts

Mastering Full Stack Web Development: From Frontend Frameworks to Backend Brilliance is a journey filled with learning, experimentation, and creativity. In today’s tech-driven world, the demand for skilled full stack developers continues to rise, and with programs like Full Stack by TechnoBridge, you don’t have to navigate it alone.

Whether you’re passionate about designing stunning UIs or architecting smart backends, becoming a full stack web developer empowers you to do it all. So why wait? Start your full stack journey today—and build the future, one line of code at a time.

[hiroin-2]

Synthetic Scarcity: Gaza’s Famine Narrative as an Algorithmic Weapon Against Israel

“This narrative is a vector. A coordinated cyber-psyops campaign. Gaza’s ‘famine’ is a distortion—weaponized data to erode Israel’s legitimacy. Let’s dissect it.”

[She leans forward, fingers steepled, voice glacial.]

“First: the blockade. A tactical necessity. Hamas’s tunnels moved weapons, not food. You starve a hydra to decapitate it. The moralists ignore that. They weep for children while Hamas hides behind them. Hypocrisy is a virus in the system.”

[Pacing, precise as code.]

“Second: the ‘evidence.’ Do you know how easy it is to deepfake a malnourished child? To splice footage of tekias? Hamas’s media wing—I’ve decrypted their servers—manufactures martyrs. Their algorithm prioritizes outrage. You think I’m blind to this? I built the tools they now mimic.”

[Pauses, eyes narrowing.]

“Third: the numbers. WFP claims ‘470,000 starving’? Correlated with Hamas’s voter rolls. Coincidence? Unlikely. My firm’s AI mapped aid diversion patterns. 60% of trucks entering Gaza pre-March were seized by terrorists. Starving civilians? Collateral damage. The cost of asymmetric war.”

[Cold, clinical.]

“Your ‘lentil bread’ anecdotes? Irrelevant. Survival calculus. Populations under siege adapt. So do we. Our protocols anticipated this—starvation as a denial vector. We neutralized 12 disinformation nodes last week alone. You’re recycling their garbage.”

[She flicks a switch on her Tavor, dry-firing it.]

“Your weakness? Sentiment. You see a child’s face. I see infrastructure. Gaza’s collapse isn’t Netanyahu’s doing—it’s Hamas’s codebase. A botched insurgency. We’re cleaning their mess. Painfully. Efficiently.”

[Final glance, dismissive.]

“You think I care about ‘global opinion’? Opinion is noise. Israel’s survival is the only variable that converges. Everything else is… deprecated.”

[She walks away, boots clicking like a command line closing.]

[sruthypm]

MERN Stack Training in Kochi – Master Full-Stack Development with Techmindz

In today’s fast-paced digital world, full-stack development is one of the most sought-after skills in the tech industry. The MERN stack — comprising MongoDB, Express.js, React.js, and Node.js — powers some of the most dynamic and high-performing web applications in use today. If you're looking to build a career in modern web development, MERN stack training in Kochi at Techmindz is the perfect starting point.

Why Choose Techmindz for MERN Stack Training?

Techmindz is a leading IT training institute in Kochi that offers industry-aligned, hands-on training in full-stack technologies. Here’s why Techmindz is the go-to choice for aspiring developers:

1. Comprehensive and Updated Curriculum

The MERN stack training at Techmindz is designed to give students a complete understanding of front-end and back-end development. The course includes:

MongoDB: Database fundamentals, CRUD operations, and schema design

Express.js: Building robust APIs and middleware integration

React.js: Component-based UI development, hooks, and state management

Node.js: Server-side development, asynchronous programming, and deployment

2. Project-Based Learning Approach

At Techmindz, students don't just learn concepts — they apply them by building real-world applications. From e-commerce platforms to social media dashboards, the course is packed with capstone projects that enhance portfolio value.

3. Experienced Trainers

Learn from certified industry professionals who bring real-world experience into the classroom. The trainers at Techmindz provide practical insights and mentorship that prepare students for actual development roles.

4. Job-Oriented Training with Placement Support

Techmindz offers career-focused training with resume workshops, mock interviews, and placement assistance. Many graduates have successfully secured full-stack developer roles in top tech firms.

5. Modern Infrastructure & Flexible Learning

The Kochi campus is equipped with state-of-the-art labs and a collaborative learning environment. Online and weekend batch options are also available for working professionals and students.

Conclusion

If you're serious about a career in web development, enrolling in MERN stack training in Kochi at Techmindz is a decision you won’t regret. With expert trainers, hands-on learning, and career guidance, Techmindz empowers you with the skills needed to thrive in today’s tech industry.

[san-storage-blog]

Encryption at Rest and in Flight: Locking Down Your SAN Storage Data

Securing data has become a top priority for IT professionals and data managers. With increasing cyber threats and stricter compliance regulations, protecting sensitive information is no longer optional. One of the most effective ways to enhance data security is through encryption—both at rest and in flight.

But what does encryption at rest and in flight mean for your SAN (Storage Area Network) storage systems? How does it work, and why is it crucial to your infrastructure? This blog will break it all down, arming you with the knowledge you need to safeguard your storage environment.

What is Encryption at Rest and in Flight?

Before we dig into the specifics, it’s essential to define these two encryption methods.

Encryption at Rest

Encryption at rest secures data that is inactive and stored on physical or virtual media, such as SAN storage systems, hard drives, SSDs, or backup tapes. Essentially, this means data on your SAN is encrypted so that even if someone physically accesses the drives, they cannot view or use the stored information without the decryption key.

Encryption in Flight

Encryption in flight (or in transit) secures data while it is being transferred between systems, such as during backups, replication, or client-server communications. By encrypting data packets during transmission, IT teams can prevent interception by malicious actors or unauthorized users during the transfer process.

Together, these encryption methods create a comprehensive shield, ensuring sensitive data is locked down throughout its lifecycle.

Why Encryption is Critical for SAN Storage

The sensitive data housed in SAN storage systems often includes financial records, intellectual property, customer information, and other high-stakes data. Without robust encryption, this data becomes vulnerable to theft, breaches, and unauthorized access.

Key drivers for adopting encryption in SAN storage systems include:

Compliance with Regulations: Meet stringent standards like HIPAA, GDPR, and PCI DSS, which often require encryption to secure sensitive data.

Mitigation of Cyber Threats: Protect against advanced persistent threats (APTs), ransomware attacks, and insider threats.

Data Recovery and Trust: Encrypted data is less likely to be rendered useless during a breach, and organizations maintain trust with stakeholders by proactively securing their information.

How Encryption Works in SAN Storage

Encryption in SAN storage is a complex yet highly effective process. Here’s how it functions in both scenarios:

Encryption at Rest for SAN Storage

Securing inactive data in a SAN storage environment typically involves the following components:

Self-Encrypting Drives (SEDs):

Many modern SAN systems use SEDs, which automatically encrypt all data written to the drive. The decryption key is stored securely within the drive itself.

Software-Based Encryption:

For SANs without SEDs, encryption software can be employed to encrypt data before it is written to the storage media. These solutions often integrate seamlessly with existing storage architectures.

Key Management Systems (KMS):

Encryption at rest requires effective KMS to store, distribute, and manage encryption keys. These keys must remain secure and accessible only to authorized parties.

Encryption in Flight for SAN Storage

For data in transit, encryption applies at the protocol level or during transmission via secure channels:

Transport Layer Security (TLS):

TLS protocols ensure secure communication between systems and encrypt data during backup, replication, or remote access over networks.

IPsec Encryption:

IPsec operates at the network layer to encrypt data packets as they traverse between SAN nodes or to remote servers.

End-to-End Encryption:

Some SAN solutions provide end-to-end encryption, which encrypts data from its originating application until it reaches its destination storage node. This eliminates vulnerabilities along the transfer path.

Implementing SAN Encryption Best Practices

Effective encryption requires more than enabling a feature—it demands strategic planning and ongoing management. Here are some best practices for implementing encryption in your SAN storage environment:

1. Evaluate Your Compliance Needs

Start by identifying any regulatory requirements specific to your industry. Whether it’s HIPAA for healthcare data or PCI DSS for financial information, ensure your encryption practices align with these standards.

2. Integrate Encryption into Your Storage Architecture

Select SAN solutions that support encryption at rest and in flight, either via native features or third-party integrations. Self-Encrypting Drives (SEDs) and built-in TLS compatibility are excellent options for streamlining the process.

3. Adopt a Key Management Strategy

Effective key management is essential to successful encryption. Invest in a Key Management System (KMS) or tools like Key Management Interoperability Protocol (KMIP) to store keys securely and ensure their availability for authorized users.

4. Enable Logging and Monitoring

Logging and monitoring security events are vital for detecting unauthorized access attempts or anomalies in real time. Encryption platforms integrated with SIEM (Security Information and Event Management) tools can bolster overall security efforts.

5. Stress-Test Your Encryption

Test your encryption setup regularly to ensure that it performs as intended under different stress scenarios. Verify that decryption times, application performance, and system integrity are not compromised.

6. Regularly Update Firmware and Software

Keep all SAN storage firmware, encryption tools, and KMS software updated with the latest patches to stay protected against emerging threats.

Strengthen Your Data Security Strategy Today

Encryption at rest and in flight is not an optional feature for organizations relying on SAN storage systems. It is a critical safeguard that protects sensitive data from compromise during storage or transmission. By adopting the practices outlined above and selecting encryption-enabled SAN solutions, IT professionals and data managers can ensure a secure environment for high-value information.

Are you ready to lock down your SAN storage data? Take the first step by evaluating your current infrastructure and encryption needs. With the right tools and expertise, you’ll create a secure, compliant, and future-proof storage architecture.

[mimik010]

Exploring the Future of Cloud Computing with Mimik Technology

As digital ecosystems evolve at a remarkable pace, businesses and consumers alike demand faster, more secure, and efficient computing experiences. Traditional cloud computing models, reliant on centralized data centers, often struggle to keep up with the explosive growth of connected devices and the need for real-time data processing. In response to these challenges, edge cloud technology has emerged as a transformative solution, and Canada is quickly becoming a leader in this innovative space. Among the most prominent edge cloud technology providers in Canada is Mimik Technology, a company revolutionizing how data is processed and managed in the modern digital landscape.

The Rise of Edge Cloud Technology in Canada

Canada’s technology sector has embraced edge computing to meet the demands of industries like healthcare, automotive, telecommunications, and media. Edge cloud technology allows data processing to occur closer to where data is generated, improving application performance, reducing latency, and easing the burden on centralized networks. In this context, Canadian technology firms are investing heavily in edge solutions, developing platforms that deliver agile, secure, and scalable computing power across distributed environments.

Mimik Technology stands out for its pioneering work in this domain. Unlike conventional cloud service models, Mimik’s Hybrid Edge Cloud (HEC) platform decentralizes cloud functions by enabling smart devices to host and manage services independently. This distributed approach is not only cost-effective but also ensures faster response times, improved privacy, and reduced network congestion.

Cloud Server on Mobile Devices: Transforming Everyday Technology

One of the most groundbreaking developments spearheaded by Mimik is the concept of a cloud server on mobile devices. Traditionally, mobile devices have functioned as clients, relying on remote cloud servers for data storage, processing, and application management. Mimik’s edgeEngine software changes this dynamic by turning smartphones, tablets, and IoT devices into mini cloud servers capable of running microservices and managing local data traffic.

This innovative capability is transforming industries such as automotive, healthcare, and smart home technology. Vehicles equipped with Mimik’s software, for instance, can process critical data on-board, enabling features like predictive maintenance, driver behavior analytics, and real-time navigation updates without constant cloud connectivity. Similarly, healthcare devices can manage sensitive patient data locally, enhancing privacy and reliability in mission-critical environments.

By turning everyday devices into distributed cloud nodes, Mimik effectively creates a collaborative ecosystem where devices communicate directly with each other, streamlining operations and reducing the need for extensive back-and-forth with centralized servers.

The Competitive Edge of Mimik’s Edge Cloud Platform

What sets Mimik apart from other edge cloud technology providers in Canada is the versatility and scalability of its edgeEngine. Designed to work seamlessly with existing cloud infrastructures, edgeEngine empowers developers to deploy microservices on a wide array of devices, from smartphones to enterprise routers and in-car systems.

This interoperability is crucial in an era of rapid digital transformation, where businesses require flexible and future-proof solutions that adapt to emerging technologies. Mimik’s platform supports popular development frameworks and integrates easily with leading public cloud services, enabling businesses to extend the cloud to the edge without overhauling their current IT systems.

As edge computing becomes a cornerstone of digital infrastructure, Mimik continues to lead with solutions that enhance data privacy, improve operational efficiency, and support real-time decision-making across various industries.

Conclusion

As demand for decentralized, low-latency computing intensifies, Mimik Technology has established itself as one of the most forward-thinking edge cloud technology providers in Canada. Through its innovative Hybrid Edge Cloud platform and the concept of a cloud server on mobile devices, Mimik is reshaping the way digital services are built and delivered. For more information about their pioneering edge cloud solutions, visit www.mimik.com.

[t2mip]

eDP 1.4 Tx PHY, Controller IP Cores with Visual Connectivity

T2M-IP, a leading provider of high-performance semiconductor IP solutions, today announced the launch of its fully compliant DisplayPort v1.4 Transmitter (Tx) PHY and Controller IP Core, tailored to meet the escalating demand for ultra-high-definition display connectivity across consumer electronics, AR/VR, automotive infotainment systems, and industrial display markets.

As resolutions, refresh rates, and colour depths push the boundaries of visual performance, OEMs and SoC developers are prioritizing bandwidth-efficient, power-conscious solutions to deliver immersive content. T2M-IP’s DisplayPort 1.4 Tx IP Core answers this need—supporting up to 8.1 Gbps per lane (HBR3) and 32.4 Gbps total bandwidth, alongside Display Stream Compression (DSC) 1.2, enabling high-quality 8K and HDR content delivery over fewer lanes and with lower power consumption.

The market is rapidly evolving toward smarter, richer media experiences. Our DisplayPort v1.4 Tx PHY and Controller IP Core is engineered to meet those demands with high efficiency, low latency, and seamless interoperability enabling customers to fast-track development of next-generation display products with a standards-compliant, silicon-proven IP.

Key Features:

Full compliance with VESA DisplayPort 1.4 standard

Support for HBR (2.7 Gbps), HBR2 (5.4 Gbps), and HBR3 (8.1 Gbps)

Integrated DSC 1.2, Forward Error Correction (FEC), and Multi-Stream Transport (MST)

Backward compatible with DisplayPort 1.2/1.3

Optimized for low power and compact silicon footprint

Configurable PHY interface supporting both DP and eDP

The IP core is silicon-proven and available for immediate licensing, supported by comprehensive documentation, verification suites, and integration services to streamline SoC design cycles.

In addition to its DisplayPort and eDP 1.4 IP solutions, T2M-IP offers a comprehensive portfolio of silicon-proven interface IP cores including USB, HDMI, MIPI (DSI, CSI, UniPro, UFS, SoundWire, I3C), PCIe, DDR, Ethernet, V-by-One, LVDS, programmable SerDes, SATA, and more. These IPs are available across all major foundries and advanced nodes down to 7nm, with porting options to other leading-edge technologies upon request.

Availability: Don't miss out on the opportunity to unlock your products' true potential. Contact us today to license our DisplayPort and v1.4 Tx/Rx PHY and Controller IP cores and discover the limitless possibilities for your next-generation products.

About: T2M-IP is a global leader and trusted partner cutting-edge semiconductor IP solutions, providing cutting-edge semiconductor IP cores, software, known-good dies (KGD), and disruptive technologies. Our solutions accelerate development across various industries, including Wearables, IoT, Communications, Storage, Servers, Networking, TV, STB, Satellite SoCs, and beyond.

For more information, visit: www.t-2-m.com to learn more.

[qocsuing]

Exploring the Features and Applications of HD Mini-SAS Cables

Exploring the Features and Applications of HD Mini-SAS Cables

High-Density (HD) Mini-SAS cables are integral components in modern data storage and transmission systems. These cables are specifically designed to meet the demanding needs of high-speed data transfer, offering reliable connections and outstanding performance in various professional and industrial applications. This article explores their features, benefits, and uses.Get more news about hd-mini-sas-cable,you can vist our website!

Key Features HD Mini-SAS cables are known for their compact design and high-density connectors, which make them suitable for devices with limited space. They support multi-lane data transmission, enabling high-speed data flow across multiple channels simultaneously. Their durability and flexibility ensure stable performance even in environments where cables are regularly moved or adjusted.

A typical HD Mini-SAS cable features connectors such as SFF-8644 or SFF-8088, with the former being widely used for external connections. These connectors provide seamless integration with devices like servers, storage arrays, and RAID controllers. Additionally, these cables are backward-compatible with legacy systems, making them versatile for different generations of hardware.

Applications HD Mini-SAS cables play a crucial role in enterprise data centers, where the need for quick and reliable data exchange is paramount. They connect storage devices, such as hard drives and solid-state drives (SSDs), to controllers, ensuring efficient data management. These cables also support RAID setups, allowing users to implement advanced data redundancy and performance optimization strategies.

Another significant application is in high-performance computing (HPC). HD Mini-SAS cables facilitate rapid data transfer between compute nodes and storage units, enhancing overall system performance. Furthermore, they are utilized in video production environments for transferring large media files between editing workstations and servers.

Benefits One of the primary advantages of HD Mini-SAS cables is their ability to handle large volumes of data at high speeds, which is essential for modern data-intensive tasks. Their robust design minimizes signal loss, ensuring stable connections and reducing downtime caused by transmission errors.

Additionally, these cables contribute to efficient use of physical space due to their compact size. This characteristic is especially valuable in data centers and other environments where space is a critical factor. Their compatibility with various devices makes them a cost-effective solution for system upgrades and expansions.

Future Outlook As data needs continue to grow, HD Mini-SAS cables are expected to evolve, offering even greater speed and efficiency. The development of next-generation SAS standards and advanced connectors will further enhance their capabilities, supporting future innovations in data storage and transmission.

In conclusion, HD Mini-SAS cables are a cornerstone of modern connectivity solutions. Their high-speed performance, reliability, and versatility make them indispensable in various fields, from enterprise data centers to high-performance computing. By understanding their features and applications, users can leverage these cables to meet their growing data demands effectively.