Quema

Quema We help companies of all sizes to create and support a scalable/secure IT infrastructure to launch and operate their products at the highest level.

In our insanely fast time, many companies are faced with the task of building or maintaining complex, fast-growing IT infrastructures, with a bunch of dependencies and technologies, staff search and compliance with modern PCI DSS, GDPR, HIPAA security standards and the best practices of world leaders. Often people do not know how to find the right solution to this issue, they are faced with a cons

tant drop in services, untimely support, unqualified personnel, and a constant headache of related processes. We already have ready-made experience in solving such problems. The best, certified and well-trained DevOps and architects provide a turnkey solution, best practices and Scrum processes debugged over the years, eliminate pain points in the shortest possible time and gradually solve all your worries. Working with us, you just have to forget about all these worries and calmly focus on business processes. Just write to us and you will receive absolutely free of charge non-binding advice on specific tasks that are bothering you at the moment. Reviews:
- GoodFirms:
https://www.goodfirms.co/company/quema-oue

- Clutch:
https://clutch.co/profile/quema-o%C3%BC

- Upwork:
https://www.upwork.com/ag/quema/

Quema
Your DevOps provider
[email protected]

14/08/2026

🧬 Your Next Data Center Is a Test Tube, Not an AWS Server Farm

The tech industry has hit a physical ceiling. We argue daily about optimizing cloud costs, debugging microservices, and building massive new data centers. But we are missing the real underlying problem: we are simply running out of silicon, land, and electricity to store the zettabytes of data we generate today.

Right now, a technology that sounds like pure sci-fi is stepping onto the main stage and attracting billions in investments: DNA-based data storage. Biology is preparing to replace traditional hardware engineering.

Here is why silicon drives will soon belong in a museum:

Mind-bending density: A single gram of synthetic DNA can hold over 200 petabytes of data. All the digital knowledge of humanity could physically fit into a couple of shoeboxes.

Zero cooling bills: Modern data centers burn the energy equivalent of entire cities just on air conditioning. DNA requires zero electricity to maintain its state—it can sit quietly in a vial at room temperature for millennia.

The end of hardware obsolescence: You will no longer need to endure painful data migrations from aging HDDs to new SSDs every 5 years. As long as humanity exists, we will always have the technology to read DNA.

We are used to thinking that the future of IT looks like endless racks of blinking servers. But the harsh reality is that the ultimate hard drive was engineered by nature millions of years ago.

It looks like the data engineers of the future will be wearing white lab coats, and "dropping the server" will literally mean someone smashed the glass vial containing your production backup.

22/07/2026

🌑 Welcome to the Internet’s "Dark Forest" (Or Why Your Metrics Are Lying to You)

In Cixin Liu's sci-fi masterpiece, the "Dark Forest" theory suggests that the universe is full of ruthless predators, so any surviving civilization stays quiet and completely off the radar.

In 2026, this is no longer just a metaphor for deep space. It is the reality of our Internet.

We have officially lost the war against bots. The public web is rapidly turning into a synthetic wasteland where LLM agents scrape websites, AI copywriters generate SEO articles for AI search engines, and automated scripts click away your ad budgets. The "Dead Internet" theory is no longer a fringe conspiracy—it’s a harsh technical reality hitting businesses right now.

Here is what this means for engineering and product teams today:

* Your metrics are dead: You celebrate a sudden spike in MAU (Monthly Active Users) and organic traffic, but the reality is that 70% of your visitors are someone else's AI agents quietly scraping your data to train their own models.
* The bot infrastructure tax: You are continuously paying for massive servers, load balancers, and terabytes of AWS traffic just to provide a smooth, 99.9% uptime experience for an army of third-party scrapers.
* The exodus to "closed bunkers": Have you noticed how hard it is to find real answers on traditional search engines lately? Real humans are fleeing the open web for private Discord servers, gated Telegram channels, and invite-only Slack communities—places where the presumption of "humanity" still exists.

If you are building a B2C product, classic marketing funnels will soon stop working. You cannot sell SaaS subscriptions or physical goods to AI agents (at least, not yet).

The future belongs to companies that learn how to authentically integrate into these "closed bunkers," or those that can implement adequate *Proof-of-Humanity* systems at the architectural level without driving their actual human users crazy.

The era of "Prompt-Driven Development" is here, and AI technical debt is exploding. 📉🤖 The industry is obsessed with ho...
25/06/2026

The era of "Prompt-Driven Development" is here, and AI technical debt is exploding. 📉🤖

The industry is obsessed with how fast AI can generate code. But we need to face reality: typing a prompt is not the same as understanding a system. We are seeing a flood of code that passes a quick demo but completely falls apart under thorough security or scaling tests.

For engineering teams, neural networks should be an exoskeleton, not a brain. AI acts like a librarian who can retrieve syntax instantly, but it cannot architect the library. When developers blindly rely on LLMs for core logic, they stop being engineers and become operators of an unstable black box.

We just published a comprehensive guide on the Quema blog detailing how to survive this shift and prevent code degradation. In our latest article, we break down:

- The Anatomy of Hallucinations: Why AI-generated code confidently bypasses engineering skepticism.

- The "GPS Effect": How prompt-driven workflows cause cognitive atrophy in tech teams.

- The 3 Rules of Survival: How to properly review AI-generated code (starting with isolation and using AI as a "rubber duck").

If you want to stop shipping liability and start building resilient systems, read the full article here:

https://lnkd.in/g-jG4vMW

18/06/2026

I’ve been noticing an interesting shift in the IT community lately. There seems to be a growing fatigue around the "Modern Tech Stack." 🧩

For years, the industry standard has been to build projects using a patchwork of top-tier subscriptions: Vercel for the frontend, Auth0 for auth, Datadog for observability, all running on top of a complex Kubernetes cluster.

But recently, many founders and CTOs are starting to ask: have we overcomplicated the baseline?

We are seeing a trend where engineering teams spend more time acting as "API glue" between different SaaS tools than building actual business logic. Managing integrations and vendor lock-ins is taking up more sprint capacity than core development.

Because of this, there is a rising discussion around "Infrastructure Minimalism" — a conscious return to robust monoliths, standard PostgreSQL, and a few dedicated servers to avoid the creeping technical debt of endless subscriptions.

I’m curious to hear your thoughts on this.

Are we reaching peak "SaaS fatigue," and is the industry due for a rollback to simplicity? Or is the cloud-native, multi-SaaS approach still the only viable way to scale quickly?

How does your team balance necessary architecture with over-engineering? Let’s discuss. 👇

Hackers aren't targeting your code anymore. They are targeting your AI's hallucinations. 🦠🤖We all know the danger of Sup...
25/05/2026

Hackers aren't targeting your code anymore. They are targeting your AI's hallucinations. 🦠🤖

We all know the danger of Supply Chain attacks. But in 2026, a terrifying new vector has emerged for engineering teams: AI Hallucination Squatting.

Here is how the attack lifecycle works:

1️⃣ A developer asks an LLM (like ChatGPT or Claude) to solve a complex coding problem.
2️⃣ The AI hallucinates and suggests importing a highly plausible, but completely fake open-source library (e.g., fast-api-auth-utils).
3️⃣ The developer copies the code and runs pip install fast-api-auth-utils.

The catch? Hackers are constantly prompting LLMs to map out these common hallucinations. They then proactively register these exact fake package names on npm, PyPI, and RubyGems, packing them with malicious payloads and backdoors.

Your developer didn't make a typo. They just trusted an AI that pointed them directly to a trap. 🪤

You cannot stop your engineers from using AI to write code. But you can stop relying on public package registries directly.

If your DevSecOps strategy doesn't include:
- Strict private artifact registries
- Automated Software Composition Analysis (SCA)
- Zero-trust CI/CD pipelines
..then you are leaving your production environment wide open to an AI's imagination.

Secure your supply chain before a hallucination becomes a data breach. 🛡️

04/05/2026

We are trying to communicate with supercomputers through a plastic straw. Welcome to "Thought Engineering." 🧠⚡

Everyone is obsessed with "Prompt Engineering," learning the exact phrases to make AI generate code or cloud architecture.

But Prompt Engineering is just a temporary patch for a massive hardware bottleneck: the keyboard.

We have AI capable of designing complex microservices in milliseconds, yet we communicate with it at 60 words per minute using our fingers. The friction isn't in the AI; the friction is in our physical input.

Advancements in Brain-Computer Interfaces (BCIs) are about to eliminate this bottleneck. We are approaching the era of Thought Engineering.

Imagine merging an enterprise LLM directly with a BCI. You won't type a prompt to deploy a cluster or debug a pipeline. You will visualize the architectural state, and the AI will instantly translate that cognitive intent into code.

In this near future, the skill of the engineer won't be writing syntax, but achieving absolute clarity of thought.

Forget Prompting. The IDE of the future isn't autocompleting your text. It's autocompleting your INTENT.

That face your CISO makes when you ship code a little too fast. 🛑🔓It's the face of "Shadow AI." And it's becoming a seri...
10/04/2026

That face your CISO makes when you ship code a little too fast. 🛑🔓

It's the face of "Shadow AI." And it's becoming a serious problem in 2026.

Years ago, "Shadow IT" meant a developer spinning up an unapproved AWS server on their personal credit card to bypass slow IT processes.

Today, the threat has evolved.

If your corporate AI coding assistant is heavily restricted, heavily monitored, or just... not smart enough, your engineers don't stop using AI. They just stop telling you about it. 🥷

Developers are copy-pasting proprietary algorithms, architectural designs, and sometimes even API keys into unapproved, public LLMs. While your IP is safe in your Git repositories, it's simultaneously being used as context in public chat windows. 💻🔥

Firewall bans are a band-aid, not a strategy.

The only way to defeat Shadow AI is to securely enable developer velocity. Build a "Golden Path"—a secure Internal Developer Platform (IDP) with embedded enterprise-grade AI models, where data privacy is guaranteed. When you provide a faster, smarter, and secure way, engineers won't need to bypass security.

At Quema, we help teams build these secure platforms, turning Shadow AI risks into competitive advantages.

Is your company fighting Shadow AI with bans, or are you building better internal platforms? 👇

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