In recent years, I have gained most of my knowledge through reverse engineering, how I did it and what I learned during this period, I decided to share. All this concerns graphic programming, performance, best practices in the frontend.
Presentation about capabilities of html5 and when to start using them.
Ehnanced and upgraded version of my previous presentation about html5
There are examples - right here
http://www.slideshare.net/markiyanmatsekh/html5-examples-10660313
JS Fest 2019/Autumn. Борис Могила. Svelte. Почему нам не нужно run-time ядроJSFestUA
Использование различных фреймворков дает нам возможность писать быстрые приложения с минимальными затратами времени. Но за это наши пользователи платят продолжительностью первой загрузки и трафиком. Я расскажу как можно писать быстрые приложения с гораздо меньшим размером исходного кода с той же удобностью.
'Why svelte' by BORYS MOHYLA at OdessaJS'2020OdessaJS Conf
I'll tell you why I chose Svelte. What I like about Svelte and what not. Let's talk about when to use Svelte in production and why.
The technology shows new possibilities of the composition of high-level abstractions and high-performance low-level code.
'Web performance metrics' BY ROMAN SAVITSKYI at OdessaJS'2020OdessaJS Conf
Let's brainstorm web-productivity? It's easy to get lost in different sources - so how to choose them wisely? Main topics: Metrics, best practices, problems and solutions
Вебпродуктивність. Що ще тут розповісти? Всі ми знаємо, що це важливо, як не отримувати таких проблем і до чого це призводить. Але якщо необхідно вирішити проблему серед тонни ресурсів важко обрати потрібний. Моя доповідь не тільки про рішення проблеми, а про находження інструментів та метрик для рішення проблеми. Чому саме ці метрики варто використовувати і як з цим жити. Метрики, практики, проблеми, рішення. Які різні поняття, а насправді це цепочки, які нам разом необхідно виставити в логічний ряд. Запрошую Вас побрейнштормити разом!
Imagine that you've been given an old project, a Food Delivery app, with the backend written in Laravel 8 and PHP 8.0. The web and mobile interfaces communicate with the backend through an API, but it's currently performing poorly with an average response time of 600ms. The product owner has requested you to optimize the performance and wonders if it's possible to reduce it by a factor of 10. What would you do?
Topics to be Covered:
Nginx Cache
Rememberable package
Redis Cache
Queues: Redis/SQS
Horizon
Octane: Swoole / Roadrunner
Upgrading PHP and Laravel
While you may be familiar with most of these points and possibly already using them, the focus will be on ensuring that you're using them correctly and effectively. In a real-world example, I will demonstrate how we managed to reduce average response times by 10 times. We'll explore what's hidden under Laravel's package magic and discuss ways to mitigate the negative impact on project performance.
By the end of this performance optimization session, you will not only have improved your performance but also gained a deeper understanding of how to utilize the Laravel framework more efficiently.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
"Microservices and multitenancy - how to serve thousands of databases in one ...Fwdays
Imagine you are designing a B2B service that will serve millions of businesses. This service will have dozens of different microservices with their own data, which can contain millions of records. How do you design such a database? Why is sharding not always the answer? What other options are there for such an architectural solution?
I'll tell you how we at Uspacy came to serve thousands of small databases instead of a few large ones, what we've encountered and what we plan to face)
Presentation about capabilities of html5 and when to start using them.
Ehnanced and upgraded version of my previous presentation about html5
There are examples - right here
http://www.slideshare.net/markiyanmatsekh/html5-examples-10660313
JS Fest 2019/Autumn. Борис Могила. Svelte. Почему нам не нужно run-time ядроJSFestUA
Использование различных фреймворков дает нам возможность писать быстрые приложения с минимальными затратами времени. Но за это наши пользователи платят продолжительностью первой загрузки и трафиком. Я расскажу как можно писать быстрые приложения с гораздо меньшим размером исходного кода с той же удобностью.
'Why svelte' by BORYS MOHYLA at OdessaJS'2020OdessaJS Conf
I'll tell you why I chose Svelte. What I like about Svelte and what not. Let's talk about when to use Svelte in production and why.
The technology shows new possibilities of the composition of high-level abstractions and high-performance low-level code.
'Web performance metrics' BY ROMAN SAVITSKYI at OdessaJS'2020OdessaJS Conf
Let's brainstorm web-productivity? It's easy to get lost in different sources - so how to choose them wisely? Main topics: Metrics, best practices, problems and solutions
Вебпродуктивність. Що ще тут розповісти? Всі ми знаємо, що це важливо, як не отримувати таких проблем і до чого це призводить. Але якщо необхідно вирішити проблему серед тонни ресурсів важко обрати потрібний. Моя доповідь не тільки про рішення проблеми, а про находження інструментів та метрик для рішення проблеми. Чому саме ці метрики варто використовувати і як з цим жити. Метрики, практики, проблеми, рішення. Які різні поняття, а насправді це цепочки, які нам разом необхідно виставити в логічний ряд. Запрошую Вас побрейнштормити разом!
Imagine that you've been given an old project, a Food Delivery app, with the backend written in Laravel 8 and PHP 8.0. The web and mobile interfaces communicate with the backend through an API, but it's currently performing poorly with an average response time of 600ms. The product owner has requested you to optimize the performance and wonders if it's possible to reduce it by a factor of 10. What would you do?
Topics to be Covered:
Nginx Cache
Rememberable package
Redis Cache
Queues: Redis/SQS
Horizon
Octane: Swoole / Roadrunner
Upgrading PHP and Laravel
While you may be familiar with most of these points and possibly already using them, the focus will be on ensuring that you're using them correctly and effectively. In a real-world example, I will demonstrate how we managed to reduce average response times by 10 times. We'll explore what's hidden under Laravel's package magic and discuss ways to mitigate the negative impact on project performance.
By the end of this performance optimization session, you will not only have improved your performance but also gained a deeper understanding of how to utilize the Laravel framework more efficiently.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
"Microservices and multitenancy - how to serve thousands of databases in one ...Fwdays
Imagine you are designing a B2B service that will serve millions of businesses. This service will have dozens of different microservices with their own data, which can contain millions of records. How do you design such a database? Why is sharding not always the answer? What other options are there for such an architectural solution?
I'll tell you how we at Uspacy came to serve thousands of small databases instead of a few large ones, what we've encountered and what we plan to face)
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
"Black Monday: The Story of 5.5 Hours of Downtime", Dmytro DziubenkoFwdays
We will explore the most significant incident in our product's history. We'll discuss the causes that led to the failure, how our team responded, and the measures we took to prevent future incidents. Special attention will be paid to identifying the root cause of the incident and the role of the VACUUM mechanism in PostgreSQL.
"Reaching 3_000_000 HTTP requests per second — conclusions from participation...Fwdays
In this talk, we will get acquainted with TechEmpower Web Framework Benchmarks, consider generalized (programming language-independent) approaches to optimizing a web application and its environment to achieve extreme loads, and most importantly, how some of these things can be applied in practice in your projects.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
"Micro frontends: Unbelievably true life story", Dmytro PavlovFwdays
A real life story about the experience of using Micro frontends in an existing Enterprise product. Problems and their solutions on the way from the integration of a separate component to an extensible No-code platform.
"Objects validation and comparison using runtime types (io-ts)", Oleksandr SuhakFwdays
A common task in modern JS is parsing, validating and then comparing JSON objects. In this talk I will quickly go through most common ways to parse/validate and compare objects we use today and then focus more on how runtime types (based on io-ts) can help make such tasks easier and quicker to implement.
"JavaScript. Standard evolution, when nobody cares", Roman SavitskyiFwdays
Should we take a look at JavaScript when everyone is writing in TypeScript? What happens to the standard? What did we get last year? What new features can we expect this and next year? And most importantly, when will Observer be standardized?
Let's try to answer all these questions and even a little more, dream about the future, and enjoy that Observer is alive (or not).
"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...Fwdays
Case study of how small team in Preply started with inheriting an existing ranking model to being able to produce a model per day. In this talk we'll cover steps to take if you find yourself in a similar situation: what kind of technology and processes can you introduce in order to achieve a great speedup in a development speed.
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil TopchiiFwdays
In my talk, I will tell about the world of GenAI services beyond GPT-wrappers and how we developed and scaled GenAI-centric applications. I'll share personal experiences about the obstacles, lessons, and strategic tools and methodologies that were key in taking GenAI applications from 0 to 1. I'll talk about the challenges we faced when launching LLM-based and image generative applications and delivering them to end users, and what conclusions and solutions were made.
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
Python engineers are introduced to the transformative potential of Large Language Models (LLMs) in the realm of advanced data analysis and the application of Semantic Kernel techniques. We will talk about how LLMs like ChatGPT can be integrated into Python environments to automate data processing, enhance predictive modeling, and unlock deeper insights from complex datasets. The session will delve into practical strategies for embedding Semantic Kernel methods within Python projects, illustrating how these advanced techniques can refine the accuracy of machine learning models by embedding domain-specific knowledge directly into the analysis process. Attendees will leave with a clear roadmap for leveraging the combined power of LLMs and Semantic Kernels, equipped with actionable knowledge to drive innovation in their data analysis projects and beyond, marking a significant leap forward in the evolution of Python engineering practices.
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
Federated learning. Algorithmic solution to the problem of privacy preserving ML. Pieces involved to support the training with NVIDIA Flare as example. How newest legislation affects federated learning.
"What is a RAG system and how to build it",Dmytro SpodaretsFwdays
Today, large language models are becoming an integral part of almost every IT solution. However, their use is often accompanied by certain limitations, such as the relevance of information or its depth and specificity. One of the ways to overcome these limitations is the method of working with LLMs - RAG (Retrieval Augmented Generation).
In an ideal world, you would write Python code and then it would work perfectly. But unfortunately, it doesn't work in this manner. In my talk, I'll cover how to efficiently debug your programs, especially in cloud environments or inside Kubernetes.
MLOps (Machine Learning Operations) is a recent buzzword, that trends a lot. Let's figure out together how maintaining applications with machine learning components is significantly different from maintaining applications without them.
We will look into MLOps best practices and typical problems and their implementations/solutions in real world production.
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
Ever seen a code base where understanding a simple method meant jumping through tangled class hierarchies? We all have! And while "Favor composition over inheritance!" is almost as old as object-oriented programming, strictly avoiding all types of subclassing leads to verbose, un-Pythonic code. So, what to do?
The discussion on composition vs. inheritance is so frustrating because far-reaching design decisions like this can only be made with the ecosystem in mind – and because there's more than one type of subclassing!
Let's take a dogma-free stroll through the types of subclassing through a Pythonic lens and untangle some patterns and trade-offs together. By the end, you'll be more confident in deciding when subclassing will make your code more Pythonic and when composition will improve its clarity.
"Distributed graphs and microservices in Prom.ua", Maksym KindritskyiFwdays
The current architecture of Prom.ua is built on microservices and GraphQL API, but it was not always like that. In this talk, I'll tell you how far we've come and how we've made using graphs in a microservice architecture convenient and simple. I will talk about the problems we faced and how we overcame them, made our development process more accessible, deployments faster, and the remains of the monolith less loaded.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
"Black Monday: The Story of 5.5 Hours of Downtime", Dmytro DziubenkoFwdays
We will explore the most significant incident in our product's history. We'll discuss the causes that led to the failure, how our team responded, and the measures we took to prevent future incidents. Special attention will be paid to identifying the root cause of the incident and the role of the VACUUM mechanism in PostgreSQL.
"Reaching 3_000_000 HTTP requests per second — conclusions from participation...Fwdays
In this talk, we will get acquainted with TechEmpower Web Framework Benchmarks, consider generalized (programming language-independent) approaches to optimizing a web application and its environment to achieve extreme loads, and most importantly, how some of these things can be applied in practice in your projects.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
"Micro frontends: Unbelievably true life story", Dmytro PavlovFwdays
A real life story about the experience of using Micro frontends in an existing Enterprise product. Problems and their solutions on the way from the integration of a separate component to an extensible No-code platform.
"Objects validation and comparison using runtime types (io-ts)", Oleksandr SuhakFwdays
A common task in modern JS is parsing, validating and then comparing JSON objects. In this talk I will quickly go through most common ways to parse/validate and compare objects we use today and then focus more on how runtime types (based on io-ts) can help make such tasks easier and quicker to implement.
"JavaScript. Standard evolution, when nobody cares", Roman SavitskyiFwdays
Should we take a look at JavaScript when everyone is writing in TypeScript? What happens to the standard? What did we get last year? What new features can we expect this and next year? And most importantly, when will Observer be standardized?
Let's try to answer all these questions and even a little more, dream about the future, and enjoy that Observer is alive (or not).
"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...Fwdays
Case study of how small team in Preply started with inheriting an existing ranking model to being able to produce a model per day. In this talk we'll cover steps to take if you find yourself in a similar situation: what kind of technology and processes can you introduce in order to achieve a great speedup in a development speed.
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil TopchiiFwdays
In my talk, I will tell about the world of GenAI services beyond GPT-wrappers and how we developed and scaled GenAI-centric applications. I'll share personal experiences about the obstacles, lessons, and strategic tools and methodologies that were key in taking GenAI applications from 0 to 1. I'll talk about the challenges we faced when launching LLM-based and image generative applications and delivering them to end users, and what conclusions and solutions were made.
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
Python engineers are introduced to the transformative potential of Large Language Models (LLMs) in the realm of advanced data analysis and the application of Semantic Kernel techniques. We will talk about how LLMs like ChatGPT can be integrated into Python environments to automate data processing, enhance predictive modeling, and unlock deeper insights from complex datasets. The session will delve into practical strategies for embedding Semantic Kernel methods within Python projects, illustrating how these advanced techniques can refine the accuracy of machine learning models by embedding domain-specific knowledge directly into the analysis process. Attendees will leave with a clear roadmap for leveraging the combined power of LLMs and Semantic Kernels, equipped with actionable knowledge to drive innovation in their data analysis projects and beyond, marking a significant leap forward in the evolution of Python engineering practices.
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
Federated learning. Algorithmic solution to the problem of privacy preserving ML. Pieces involved to support the training with NVIDIA Flare as example. How newest legislation affects federated learning.
"What is a RAG system and how to build it",Dmytro SpodaretsFwdays
Today, large language models are becoming an integral part of almost every IT solution. However, their use is often accompanied by certain limitations, such as the relevance of information or its depth and specificity. One of the ways to overcome these limitations is the method of working with LLMs - RAG (Retrieval Augmented Generation).
In an ideal world, you would write Python code and then it would work perfectly. But unfortunately, it doesn't work in this manner. In my talk, I'll cover how to efficiently debug your programs, especially in cloud environments or inside Kubernetes.
MLOps (Machine Learning Operations) is a recent buzzword, that trends a lot. Let's figure out together how maintaining applications with machine learning components is significantly different from maintaining applications without them.
We will look into MLOps best practices and typical problems and their implementations/solutions in real world production.
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
Ever seen a code base where understanding a simple method meant jumping through tangled class hierarchies? We all have! And while "Favor composition over inheritance!" is almost as old as object-oriented programming, strictly avoiding all types of subclassing leads to verbose, un-Pythonic code. So, what to do?
The discussion on composition vs. inheritance is so frustrating because far-reaching design decisions like this can only be made with the ecosystem in mind – and because there's more than one type of subclassing!
Let's take a dogma-free stroll through the types of subclassing through a Pythonic lens and untangle some patterns and trade-offs together. By the end, you'll be more confident in deciding when subclassing will make your code more Pythonic and when composition will improve its clarity.
"Distributed graphs and microservices in Prom.ua", Maksym KindritskyiFwdays
The current architecture of Prom.ua is built on microservices and GraphQL API, but it was not always like that. In this talk, I'll tell you how far we've come and how we've made using graphs in a microservice architecture convenient and simple. I will talk about the problems we faced and how we overcame them, made our development process more accessible, deployments faster, and the remains of the monolith less loaded.
61. Деякі школи обирають супердовгі мечі.
Я думаю — це слабкі школи. Вони відкидають
принцип «знищити ворога будь-яким
засобом». Вони обирають свій довгий меч.
1642, Міямото Мусаші