CLOUDYNA 2019
PUBLIC CLOUD FEST IN KATOWICE
November 13th 2019
Katowice, Poland
Cloudyna is organized to help participants understand the complexity, interesting recipes, patterns, new approaches and techniques, secrets of design, implementation, testing and administration of applications in the Cloud. During the conference participants will have the opportunity to meet and prepare in advance for the lurking pitfalls and potential dangers of the public cloud which Cloudyna speakers have had the opportunity to face and they want to share these experiences.
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We’re honoured to have amazing industry experts as members of Cloudyna Program Board! They will watch over the merit value of the incoming presentations.
MCK is the most prestigious and well-equipped conference venue in whole Silesia. It hosts the biggest and international events like Intel Extreme Masters and European Startup Days. This year MCK will add Cloudyna to its portfolio.
Cloudyna is one of the oldest Polish cloud computing conferences, always visited by the best cloud specialists in Poland. It’s the great place to network with other cloud experts from all over the country.
We prepared a full day of workshops provided by the best cloud experts in the country. You’ll be able to deepen your knowledge and skills and get the conference ticket with it!
by Krzysztof Szabelski, Michał Jankowski
9.30 - 10.00by Tomasz Stachlewski
In this session we will see what are the reasons of building applications which would span across multiple continents. We will see what kind of AWS services will help to us design and build them and finally we will log in to AWS and we will build our own Netflix 2.0 – ‘VoD platform’ which will be hosted across multiple continents with failover design. This this highly demo-focused session (20% slides, 80% demo). We will discuss and use services such as Lambda – where we will implement our business logic, S3 – for storing our movies, DynamoDB – as global database, API Gateway for defining HTTPS endpoints, Route53 for DNS support and many more!In this session we will see what are the reasons of building applications which would span across multiple continents. We will see what kind of AWS services will help to us design and build them and finally we will log in to AWS and we will build our own Netflix 2.0 – ‘VoD platform’ which will be hosted across multiple continents with failover design. This this highly demo-focused session (20% slides, 80% demo). We will discuss and use services such as Lambda – where we will implement our business logic, S3 – for storing our movies, DynamoDB – as global database, API Gateway for defining HTTPS endpoints, Route53 for DNS support and many more!
10.15 - 11.00by Paweł Pikuła, Cloud Architect in PatternMatch, Co-Founder
Serverless is a very hot topic nowadays, but is this really a panacea for all the issues we currently have when working with the traditional, “serverfull” approach? In this talk, I’ll share my experience with using AWS lambda on production for almost a year. The project I work on started as a proof of concept and evolved into a mature product which performs millions of operations daily. In this context, I’ll tell where the serverless approach shines and where it can cause some troubles.
11.15 - 12.00by Krzysztof Trojan, CTO, Architect and IT Manager
What would it take to create a bank of a world scale? A hypothetical bank GAFA tech giant could run, a bank running from a single, architecturally homogenous platform an account for every single person on Earth? How much of the achievements of massively distributed systems leading streaming platforms, social networks and the like, run, can be reused for a retail bank? Is Bank 4.0 possible on a global scale, or there are limits to the architecture that would force its division into smaller entities, even if under a single umbrella?Some introduction to the laws of distributed computing, including PACELC and USL, and why those two are a headache for a traditional bank CTO?
12.15 - 13.00by Piotr Stapp + Jakub Gutkowski
W epoce buzzwords gdzie wiodą prym DDD, BDD, K8S, ES, DevOps, CloudNative, Serverless czy nawet SPA, linked in driven CV’s jak i ekspert mode retweets fajnych skrótów, zapominamy o podstawach. Potrafimy zaprojektować system, a potem nagle za węgla uderza w nas PROBLEM i leżymy jak dłudzy. Aż nie sposób się podnieść. Najgorsze jest to, że jako środowisko wpadamy cały czas w to samo i wymyślamy koło na nowo albo Amerykę w konserwie. A wystarczy usiąść na chwilę i pomyśleć o podstawach. Na sesji w sposób lekko humorystyczny porozmawiać o tematach, które inżynierowie powinni znać a których nie da się łatwo RTeetnąć.
14.00 - 14.45by Jarosław Stakun, Lead Solution Architect at Red Hat
Cloud Native is technology backbone for the innovations, however many organizations are struggling to adopt public clouds due to organizational and legal constraints. Some organizations who went to public cloud are looking for solution to avoid cloud vendor lock-in or costs explosion for specific cloud services. This is where hybrid or multi cloud strategy could be the way to start or accelerate public cloud journey. On the other hand hybrid and multi cloud strategy could introduce challenges in building applications architecture which spans multiple clouds or private and cloud data centers.
In this session we’ll discuss real life examples of applications architectures which are deployed in multiple clouds or private and cloud data centers and serve users traffic transparently accross them. We’ll focus on solving major challenges like Federated CI/CD for applications deployed in multi cloud or hybrid cloud environments.
We’ll also discuss how to manage multi cloud networking for application traffic ingress and data synchronization. We’ll also touch on day 2 topics management, monitoring and security.
by Sebastian Fyda, Senior Cloud Solutions Architect w Synerise
First application deployed? What now? Launching your app, even composed from several microservices is easy. The hard part is the maintenance. What if you have several dev teams and 100+ services built in multiple technologies? How to develop, how to test and how to live with them? No matter if you identify as Ops, Dev, SRE, QA, PM, PO or CTO you will find interesting concepts making your transition to microservices smother and less challenging.
16.00 - 16.45by Krzysztof Szabelski, Michał Jankowski
16.45 - 17.00by Marek Pyka, Damian Widera, Łukasz Grala
9.30 - 10.00by Marcin Szeliga, Data Community
Automating the construction and tuning of machine learning (ML) models has long been one of the goals of the ML community. This is due to several factors, most notably a sharp increase in the demand for tailored AI solutions, a relative scarcity of trained ML scientists, and the development of deep learning models with complex architectures requiring accurate design and fine-tuning. Existing automated machine learning (AutoML) techniques have been remarkably successful in identifying good parameters for a given model, sometimes even outperforming humans. However, these options either take too long to train or they work for only a handful of parameters. That’s why Azure Machine Learning uses probabilistic latent variable model to work with DNNs without needing to fully train them. Azure Machine Learning Services (AML) provides a cloud-based environment you can use to develop, train, test, deploy, manage, and track machine learning models. AutoML in the cloud will soon become mainstream. Join now.
10.15 - 11.00by Javier Ramirez, Senior Technical Evangelist at Amazon Web Services
Working with streaming data at scale is hard. Before you realize you can end up with a very sophisticated architecture with different moving parts you need to secure, monitor, and scale independently. In this session, you will learn how to work with real-time data, at any scale, by leveraging the managed services provided by AWS. You will learn how to combine the features of Open Source products like Apache Flink or ElasticSearch, with the elasticity of cloud services like Amazon Kinesis. With a demo, of course.
11.15 - 12.00by Dmytro Dragan, Big Data Engineer in SoftServe
The Ingest process is a quite important part of any ETL workflow. And it is quite easy to miss in discussions important technical requirements regarding source systems. How to ‘fill’ you data lake? In most cases we need something more precise rather than Five Ws and How questions. Here we will try go through such “checklist” and speak about different options and tradeoffs which it brings to us. All examples will be based on open-source Big Data stack ( Spark, Sqoop, Kafka, Hadoop, Hive)
12.15 - 13.00by Maciej Bryński, Big Data Lead w DXC Technology
In my presentation I’d like to show how different Big Data technologies can be used on Kubernetes cluster. These include: Kafka, HDFS, Spark and Flink. I will tell about my experience and problems that need to be solved. I will also present how to use Kubernetes with existing Hadoop infrastucture.
14.00 - 14.45by Adam Marczak, Cloud Architect w Lingaro
Komponent Azure Data Factory Data Flow to nowy sposób na tworzenie procesów ETL w chmurze Azure. Skalowana architektura z użyciem komponentów Big Data pozwala na przetwarzanie danych w efektywny sposób. Zobacz na żywo jak to działa oraz dowiedz się, jak nowe komponenty pozwalają migrować obecne procesy stworzenie w narzędziu SSIS (SQL Server Integration Services).
15.00 - 15.45by Radosław Stankiewicz, Strategic Cloud Engineer @ Google
Big data is not longer sorcery. During the talk I’d like to show (and demo) that is super easy to migrate, process, analyze data. Keywords: dataproc, data fusion, dataflow templates, solutions.
16.00 - 16.45by Marek Pyka, Damian Widera, Łukasz Grala
16.45 - 17.00by Michał Furmankiewicz, Chmurowisko
9.30 - 10.00by Marek Lenz, CIO Pekao SA
Praktyczne wyzwania, przed którymi stoi bank jeżeli chce się zmigrować do chmury i nie polec.
10.15 - 11.00by Lukasz Wegrzyn, Szymon Ciach - SSW Pragmatic Solutions
Wejście do chmury w wybranych sektorach biznesu jak tak samo nieuniknione jak trudne. Dotyczy to w szczególności sektora finansowego (bankowość, ubezpieczenia). Podstawowym wyzwaniem w tym przypadku jest otoczenie prawne i regulacyjne. Brak jasnych wytycznych co do rozumienia przepisów często blokuje migracje do chmury. Całej sytuacji nie poprawia konieczność podpisania z dostawcami usług chmurowych umów, które odstają od tradycyjnego modelu kontraktowego, do którego byliśmy przyzwyczajeni. Czy da się zarządzić tymi ryzykami? Jeśli tak, to w jaki sposób? O tym właśnie będzie traktować prezentacja.
11.15 - 12.00by Tomasz Onyszko, CTO at Predica
Serverless! It sounds proud! It looks cool! It (almost) has no servers!
Serverless is associated with technology. Functions, messeges, databases. Are you sure it is only about technology implementation?
Serverless is more than technology. It has the potential to turn up-side-down several approaches we currently use to create solutions and how it will interact with business as we know of today.
Why you should ask about user needs higher than a question about the technology you will use?
How serverless can affect the economy of the code and why the map is a necessary thing in the life of an architect or strategist?
Philosophically and practically about serverless, maps, and navigation in the tricky corners of technology and user value chain!
12.15 - 13.00by Rafal Frątczak, Chief Digital Officer, AVIVA
Słoń vs Gepard
Czy duża organizacja postrzegana bardziej jak Słoń, niż zwinny Gepard, może nawiązać konkurencje z Fintechami? Jak wygląda ścieżka wprowadzenia na rynek jednego z najbardziej innowacyjnych produktów w ubezpieczeniach, w tej części świata. Dowiecie się jakie trudności udało się pokonać, to z czym zaczęliśmy, a co faktycznie powstało i wreszcie czemu Chmura stała się kluczowym czynnikiem?
by Przemek Jarocki, Tomasz Dwornicki, Hostersi
As companies move farther away from on-premises data centers toward the cloud, figuring out how best to leverage that shift becomes increasingly important. That’s where FinOps comes in.
What you will learn:
by Przemysław Szuder, GM, AWS CEE
Chmura i migracja do niej nie jest celem samym w sobie. Prawdziwym celem jest dramatyczne skrócenie tempa wdrażania innowacji w firmie. Czy jednak każda organizacja jest nastawiona na innowacje?
16.00 - 16.45by Michał Furmankiewicz, Chmurowisko
16.45 - 17.00by Jarosław Zieliński, Bartłomiej Michalski
9.30 - 10.00by Tomasz Cholewa @ cloudowski.com
After you’ve deployed your first applications, learned almost the whole API reference by heart and proudly announced you’re the master of Cloud Native deployments, it’s time to organize your yaml files into something more manageable. It’s time for patterns that help you to:- Keep them versioned in multiple git repositories- Empower teams by providing them a way to modify their environments based on a well-defined hierarchy system- Deliver and store sensitive data in a secure way- Apply changes in a controlled and auditable fashion onto multiple environments and clustersDon’t reinvent the (steering) wheel – learn how these new patterns perfectly match the declarative nature of Kubernetes and let you keep control of dynamically changing environments.
10.15 - 11.00by Aleksander Mamla, Software Engineer in PatternMatch
Kubernetes was built to be extended. Such extensions allow users to integrate their fit-for-purpose solutions into the cluster or can be used to prototype new functionalities that might be added to official API in the future. Kubernetes provides two ways of extending its API: Custom Resource Definitions (CRDs) and API aggregation. This talk will go through and show differences between those two approaches. It will highlight weaknesses and strengths of both extension types and will try to show the best use case for each.
11.15 - 12.00by Szymon Kędzierski, Cloud Solution Architect at Grand Parade
Applications frequently need to authenticate to an external service or API. This authentication might include credentials that talk to a database or an API key to issue a third-party request.
Serverless apps are frequently stateless and require a different than traditional approach. Should we inject credentials during the deployment or load at runtime?
During this session we will analyse different options, looking also at scalability and costs of each solution.
by Kamil Mrzygłód
Azure Resource Manager is your main point of contact when it comes to provisioning Azure resources. REST APIs, JSON templates, multiple schemas and versions – are those the only way to interact with your infrastructure? During the session, we will dive deeply into multiple demos showing the current state-of-the-art of infrastructure deployments, including fluent APIs, Terraform and Pulumi.
14.00 - 14.45by Kamil Baczyk
This is a Deep Dive session explaining governance usecases at scale with Azure Policy. Allowing, prohibiting and controling usage of Azure resources in regions, defining proper SKUs or even enforcing remediation of uncompilant DevOps/SysOps messup. Uber handy to put restriction and control over unmanaged / unproperly managed Azure resources. Perfect for auditing and enforcing the “my way of doing it” in the company pipeline. Moreover with Resouce Graph gives even more ways how to tailor organizations and make it “idiot-proof”. Hot topic for SecOps/DevOps/SysOps 4 sure!
15.00 - 15.45by Mikhail Shilkov
Modern cloud applications consist of many moving parts, so they are hard to manage without employing Infrastructure as Code approach.Traditionally, tools like CloudFormation, ARM templates and Terraform employ text-based formats, which tend to be tedious, repetitive and difficult to reuse.What if instead of configuration files you could use a real programming language like TypeScript? See how you can bring your favourite developer tools like code completion, types, components, and abstractions to cloud infrastructure definition.
16.00 - 16.45by Jarosław Zieliński, Bartłomiej Michalski
16.45 - 17.00by Przemysław Malak and Łukasz Dorosz
Walczymy z monolitem. Jak wykorzystać Load Balancer oraz Usługi Serverless, w tym funkcje, kolejki, powiadomienia do rozbicia monolitu na mikroserwisy. Będą też kontenery. Ale także „bez serwerów”. Podczas warsztatów rozbijemy monilityczną aplikację przy użyciu funkcji Lambda oraz Fargate.
12.11.2019 9:00 AM - 4:00 PMby Damian Mazurek
Google Cloud Platform reklamuje się jako najlepsza platforma rozpoznawania obrazów, rozumienia języka czy platforma pod Tensorflow. W czasie warsztatów zbudujemy kompletny system uczący wprowadzając przy okazji różne usługi oferowane przez Google wspierające budowanie systemów wykorzystujących sztuczną inteligencję.
12.11.2019 9:00 AM - 4:00 PMby Michał Furmankiewicz and Andrzej Kokociński
W czasie workshopu pokażemy przekrojowo rozwiązania dostępne w Azure, dzięki którym możesz zbudować swoją strategię bezpieczeństwa.
Zaczniemy od początku:
A potem pokażmy krok dalej a mianowicie, jak wykorzystać Azure Automation, Azure Functions i prostą bazę danych by wprowadzić swoje, dodatkowe standardy zabezpieczenia środowiska chmurowego w firmie.
12.11.2019 9:00 AM - 4:00 PM
by Bartłomiej Michalski and Kamil Dworak
Strumienie danych otaczają nas z każdej strony. Pochodzą z różnych źródeł: aplikacji na smartfonach, inteligentnych czujników czy nawet przeglądarki internetowej. Sami jesteśmy współodpowiedzialni za te dane. Jak zaprojektować rozwiązanie, pozwalające na przetworzenie dane w taki sposób, aby uzyskane przez nas informacje były użyteczne? Jak zbudować skalowalną aplikację, która nie zachłyśnie się przy przetwarzaniu dużych i nieregularnych zbiorów danych?
Na bazie naszego komercyjnego doświadczenia projektowego pokażemy Ci w jaki sposób zbudować aplikację, wykorzystując do tego komponenty dostępne wewnątrz chmury obliczeniowej Microsoft Azure. Rozwiązanie, które cechować się będzie dużą skalowalnością, przetwarzaniem dużych i nieregularnych zbiorów danych strumieniowych, oraz które będzie można zakwalifikować jako rozwiązanie z rodziny Big Data. Pokażemy jak sprawić by dane przetwarzane być mogły zarówno w trybie On-Line jak i Off-Line.
Zaprezentujemy dostępny w chmurze stos technologiczny (Apache Spark, Kafka, Apache Storm).
Warsztaty skierowane są do osób mających doświadczenie z chmurą Azure oraz podstawową wiedzę w zakresie Big Data.
12.11.2019 9:00 AM - 4:00 PMby Marek Grabarz and Łukasz Kałużny
During the workshop, we will get you familiar with typical SysOps and SecOps tasks related to AKS Management. Modules: Deploy an Azure Kubernetes Service (AKS) cluster with AAD integration Implement RBAC with namespaces on cluster Implement monitoring and logging in AKS Explain network concepts for applications in AKS Implement network policies Implement Ingress Controller with Let’s encrypt SSL certificates Configure DNS auto registration of application Limit resources for container and implement cluster autoscaler Apply security and kernel updates to nodes in Azure Kubernetes Service (AKS).
12.11.2019 9:00 AM - 4:00 PMby Łukasz Grala and Jakub Wawrzyniak
Databricks to wysoce skalowalne, wieloplatformowe rozwiązanie analityczne oparte na oprogramowaniu Apache Spark, dedykowane do pracy z danymi Big Data. W naszych warsztatach będziemy bazować na jego implementacji w chmurze Microsoft czyli usłudze Azure Databricks. Pokażemy m.in. proces konfiguracji oraz zarządzania środowiskiem, obszarem roboczym, klastrem. Omówimy sposób pracy z tą usługą, w tym różne przykłady zastosowania np. w procesie ETL. Pokażemy w jaki sposób budować modele uczenia maszynowego, zarządzać ich cyklem życia z MLflow oraz pracować z Azure Databricks przy użyciu takich języków jak Python czy SQL.
12.11.2019 9:00 AM - 4:00 PMby Sławek Stanek and Piotr Rogala
Podczas warsztatów współnie zbudujemy infrastrukurę w Azure z wykorzystaniem ARM template. Wykorzystując Infrastucture as code (IaC) powołamy do „życia” podstawowe usługi wchodzące w skład IaaS jak i PaaS, pokażemy jak tworzyć zagnieżone ARM temaplate a całość deploymentu oprzemy o Azure DevOps. W dalszej części warsztatów będzie możliwość wyboru z pośród kilku podścieżek i poznanie takich usług jak Azure Automation, DSC czy też Azure Migrate.
12.11.2019 9:00 AM - 4:00 PMProfessionals watching over the substantive value of the conference.
Adam Smolnik
Program Board Director
Michał Furmankiewicz
Program Board Director
Damian Widera
BIG DATA & AI
Łukasz Grala
BIG DATA & AI
Marek Pyka
BIG DATA & AI
Krzysztof Szabelski
ARCHITECTURE
Michał Jankowski
ARCHITECTURE
Michał Jaworski
Cloud in Business
Łukasz Węgrzyn
Cloud in Business
Krzysztof Frydrychowicz
Cloud in Business
Bartosz Górczyński
Cloud in Business
Wojciech Gawroński
DEV + OPS
Jarosław Zieliński
DEV + OPS
Bartłomiej Michalski
DEV + OPSPlac Sławika i Antalla 1, 40-163 Katowice, Poland
AWS Community Hero
BIG DATA & AI
ARCHITECTURE
DEV + OPS
BUSINESS
Międzynarodowe Centrum Kongresowe,
Plac Sławika i Antalla 1,
40-163 Katowice, Poland
Conference Date: 13/11/2019 09:00 AM to 5:00 PM
We’ll send you updates about the conference.
If you have any questions about the event, please contact us directly. We will respond for sure.
It's the last round before the most expensive LATE BIRDS. It's also the last call to get Pre-Conf Workshops before the price goes up to 1389 PLN!
Cloudyna 2019 is going to be a unique opportunity to meet the most respectable experts from the industry in the best possible setting. Be sure to be there with us!
