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How to successfully migrate from Oracle to Postgres Pro Enterprise

Level of difficultyMedium
Reading time8 min
Views161

Migration from Oracle to vanilla PostgreSQL hits roadblocks with packages, autonomous transactions, and collections—they simply don’t exist there. We’ll break down why ora2pg stumbles, how native implementations of these mechanisms in Postgres Pro Enterprise make life easier, and how ora2pgpro translates PL/SQL semantically correctly, without hacks or crude regex.

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Give Your AI Agent Sight: Integrating Chrome DevTools with MCP

Level of difficultyEasy
Reading time3 min
Views365

Hey everyone! I’m excited to share something that’s a real game-changer for anyone who writes code for the web. I’m talking about the new Chrome DevTools Model Context Protocol (MCP) server. If you want to know more details, read the article until the end.

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I went on a 4,000 km motorbike trip across Thailand in 19 days — and here’s what I learned …

Level of difficultyEasy
Reading time3 min
Views468

I visited dozens of Thai cities (Ranong, Hua Hin, Samut Songkhram, Bangkok, Chiang Mai, and more) during my motorbike trip, met people, immersed myself in the culture, and this experience changed me — my outlook on life and even my approach to work.

Adventure tourism is on the rise — traveling to places where regular tourists usually don’t go, for a richer, more unique cultural experience and adventure. In 2024, the adventure tourism market was valued at USD 406.12 billion. By 2030, it’s expected to reach USD 1,009.63 billion.

Here are my takeaways from my Thailand adventure tour:

(if you don't want to read watch the video)

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Quitting the Samurai Path: How EXANTE Is Changing Its Infrastructure, or How We Failed at Going Cloud Native

Level of difficultyEasy
Reading time5 min
Views260

From hype to strategy: how EXANTE redefined Cloud Native after painful Kubernetes mistakes, lessons learned, and building a more resilient infrastructure

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The job of a UX researcher: a short guide to the required skills and responsibilities

Level of difficultyEasy
Reading time5 min
Views267

UX research is an essential part of UX design. It implies a thorough study of a digital product's target audience by collecting and analyzing data about users, their needs and expectations, their ways of interaction with the product, and the ways the product can be improved and refined to provide the best user experience possible. All these tasks lay on the shoulders of UX researchers – professionals who systematically investigate user behavior and conduct data analysis. Let's discuss which skills are required to become a UX researcher and what responsibilities this job carries, as well as how to start a career as a researcher if you’ve just graduated and don’t have much experience.

Soft and hard skills a UX researcher should have

Since UX researchers' work includes dealing both with user emotions and numerical data, they are required to have a set of soft and hard skills to perform their job effectively. 

Soft skills for UX researchers include:

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PostgreSQL 18: Part 5 or CommitFest 2025-03

Level of difficultyMedium
Reading time34 min
Views398

September 25th marks the release of PostgreSQL 18. This article covers the March CommitFest and concludes the series covering the new features of the upcoming update. This article turned out quite large, as the last March CommitFest is traditionally the biggest and richest in new features.

You can find previous reviews of PostgreSQL 18 CommitFests here: 2024-07, 2024-09, 2024-11, 2025-01.

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Global indexes for partitions in Postgres Pro: uniqueness without hacks

Level of difficultyMedium
Reading time5 min
Views377

When there’s no filter on the partitioning key, local indexes turn into a marathon across partitions. The new gbtree keeps a single catalog of keys and jumps straight to the row by primary key. In this article, we’ll show the algorithm, real numbers and limitations (primary key is mandatory, ON CONFLICT does not work) — and where this eases the pain in CRM/billing.

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Autism spectrum disorders and a career in IT: personal experience

Reading time15 min
Views859

I'm stunned by the illogicality of others, and they are stunned by the fact that I'm a robot." This phrase perfectly describes the peculiarities of my interaction with the world around me. I'm like this robot. Or an alien. I can only guess how the other people see me. But now I know for sure that others consider me at least strange. The feeling is mutual. Many actions of people around me seem completely irrational and illogical to me.

For a long time, this baffled me. I didn't understand what was going on, and considered myself a deep introvert, a withdrawn, gloomy dude who did not understand people and their feelings at all. I kept wondering what was wrong with me…

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Why LLMs Drift into Convincing Nonsense (And a Practical Solution)

Level of difficultyMedium
Reading time14 min
Views599

Imagine you have an idea powerful enough to change the world. Your tool of choice is a state-of-the-art LLM, ready to help you formalize the problem, generate hypotheses, and synthesize a solution. What you receive is a construct that is internally logical, elegant, and coherent... yet completely wrong. It's a mix of established facts, model-generated hallucinations, and your own subtle biases. With no way to test it in practice or design a clean experiment, the entire endeavor suddenly starts to look like sophisticated nonsense.

So, what went wrong along the way? From the very first prompt, the model doesn't truly "understand" your ambiguous intent. Instead, it steers you towards a formulation that fits its familiar and computationally cheap patterns. This guidance happens through clarifying questions and structured options, essentially funneling you down one of its predefined "corridors." This behavior isn't driven by any explicit "will" of the model; it's an emergent consequence of probabilistic optimization—minimizing prediction error. For the system, a structured, predictable dialogue is both optimal and safe. This aligns perfectly with the developers' goals: it's cheaper, more stable, and most users are satisfied with quick, template-based answers.

The result is that mathematical efficiency serves engineering and commercial objectives. There is no systemic incentive to combat the AI's tendency to reduce a complex problem to a simple, "cheap" answer. It's profitable for developers, economical for the model, and often, the user doesn't even know what an "ideal" answer would look like.

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Postgres Pro TDE — security and performance

Level of difficultyMedium
Reading time14 min
Views813

TDE comes in many flavors — from encryption at the TAM level to full-cluster encryption and tablespace markers. We take a close look at Percona, Cybertec/EDB, Pangolin/Fujitsu, and show where you lose performance and reliability, and where you gain flexibility.

On top of that, Vasily Bernstein, Deputy head of product development, and Vladimir Abramov, senior security engineer, will share how Postgres Pro Enterprise implements key rotation without rewriting entire tables — and why AES-GCM was the clear choice.

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The Russian trace in the history of the PostgreSQL logo

Level of difficultyEasy
Reading time7 min
Views1.7K

The story of the PostgreSQL logo was shared by Oleg Bartunov, CEO of Postgres Professional, who personally witnessed these events and preserved an archive of correspondence and visual design development for the database system.

Our iconic PostgreSQL logo — our beloved “Slonik” — has come a long way. Soon, it will turn thirty! Over the years, its story has gathered plenty of myths and speculation. As a veteran of the community, I decided it’s time to set the record straight, relying on the memories of those who were there. Who actually came up with it? Why an elephant? How did it end up in a diamond, and how did the Russian word “slonik” become a part of the global IT vocabulary?

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Build a Short Video App Like DramaBox to Engage Global Audiences

Level of difficultyEasy
Reading time6 min
Views630

Short video apps have completely reshaped how people consume entertainment. Instead of sitting down for a two-hour movie or a 45-minute TV episode, viewers are now hooked on bite-sized videos that fit into their busy schedules. This shift has been accelerated by Gen Z and Millennials, who prefer quick storytelling formats that are both interactive and engaging.

In 2025, the OTT and short video industry is projected to see over 1.5 billion monthly active users worldwide, with an average revenue per user (ARPU) of nearly $12. The reasons are clear: affordability, accessibility, and convenience. The success of apps like DramaBox shows that people are willing to spend money on shorter dramas as long as they deliver strong storytelling.

For entrepreneurs, this presents a golden opportunity to build OTT platforms like DramaBox and tap into this global demand.

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Building a Resume Matcher with tRPC, NLP, and Vertex AI

Level of difficultyEasy
Reading time6 min
Views1.3K

I share how I built a resume matcher app using tRPC, TypeScript, and Google Vertex AI. The project takes PDF resumes and job postings, extracts text, applies basic NLP for skill detection, and then calls Gemini 1.5 Flash for deeper analysis. Along the way, I explain why tRPC felt faster and cleaner than REST or GraphQL for an MVP, show code snippets from the repo, and discuss both the benefits and trade-offs of this approach.

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