Stockholm Summit
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The AWS Stockholm Summit brings together the Nordic cloud computing community to connect, collaborate, and learn more about AWS. The action-packed event features 35 breakout sessions covering a broad range of topics. Attend introductory sessions on new and existing AWS services or dive deeper into architecture and code. All sessions will be conducted by subject matter experts from AWS, or by AWS partners and customers who will share their real-world experiences.

08:00 – 09:00 Registration
09:00 – 09:10 Welcome remarks - Guido Bartels, Managing Director of AWS Nordics & Baltics
09:10 – 11:00 Keynote - Werner Vogels, CTO at Amazon.com
11:00 – 11:20 Break   
11:20 – 16:50 Breakout Sessions - please see below!
  • Rapid Application Development

    In this track, we’ll build a fully functional, end-to-end application on stage using AWS managed services such as Neptune, Fargate, Step Functions, Rekognition, Amazon SageMaker, and more. Want to learn what applications we have in store for you? Then join us for this track!


    11:20 – 12:10

    Amazon Container Services: Highly Scalable, Easy to Use Container Management and Registry Services
    Ric Harvey, Technical Evangelist, AWS

    Containers are an increasingly important way for developers to package and deploy their applications. AWS offers multiple container products to help you deploy, manage, and scale containers in production: Amazon Elastic Container Service (ECS) is a fully-managed container orchestration service; Amazon ECS for Kubernetes (EKS) is a managed service that makes it easy for you to run Kubernetes on AWS; Amazon Elastic Container Registry (ECR) is a fully-managed Docker container registry; and AWS Fargate is a technology for deploying and managing containers without having to manage the underlying infrastructure.

    Customer Speaker: Hemnet

       
    12:10 – 13:10 Lunch and Exhibition
       
    13:10 – 13:55

    Running Kubernetes on AWS
    Ric Harvey, Technical Evangelist, AWS

    A lot of progress has been made on how to bootstrap a cluster, and it now takes just minutes to go from zero to a running cluster on Amazon Web Services. However, evolving a simple Kubernetes architecture to be ready for production in a large enterprise can quickly become overwhelming with options for configuration and customization. In this session, we’ll show common practices for running Kubernetes on AWS and share insights from experience in operating tens of Kubernetes clusters in production on AWS. We will cover options and recommendations on how to install and manage clusters, configure high availability, perform rolling upgrades and handle disaster recovery, as well as continuous integration and deployment of applications, logging, and security.

    Customer Speaker: Campanja AB

       
    14:00 – 14:40

    Serverless computing: Build and run applications without thinking about servers
    Danilo Poccia, Technical Evangelist, AWS

    Serverless computing allows you to build and run applications and services without thinking about servers, and doesn’t require you to provision, scale, and manage the underlying infrastructure. We will share the latest developments of how companies are benefiting from serverless applications in production. You'll learn about the latest releases of AWS Lambda, Amazon API Gateway, and more.

    Customer Speaker: TrustPilot

       
    14:40 – 15:10 Break
       
    15:10 – 15:55

    Serverless Architectural Patterns
    Monica Lora, Solutions Architect, AWS

    As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We will also discuss considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organization and understand areas of potential savings and increased agility.

    Customer Speaker: Aino Health

       
    16:00 – 16:50 Building Real-Time Serverless Back Ends
    Heitor Lessa, Specialist Solutions Architect, AWS

    GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data-intensive applications as simple as writing a few lines of code. In this session, we’ll introduce the core concepts of GraphQL and put that into practice with real-world implementations using tools such as AWS Lambda and AWS AppSync to deliver real-time collaborative experiences for web and mobile apps. We’ll also show you how to use multiple data sources, manage off-line users’ data, and resolve data conflicts.
  • Big Data Analytics

    Watch us build a serverless data pipeline live! AWS provides a broad range of services to help you easily build and deploy big data and analytics applications quickly. Learn how to easily ingest, store, transform, query, and analyze data at any scale, starting small and growing your infrastructure to your company’s needs.


    11:20 – 12.10

    Building Your Data Lake on AWS
    Johan Broman, Solutions Architect, AWS 

    Traditional data storage and analytic tools no longer provide the agility and flexibility required to deliver relevant business insights. That’s why organizations are shifting to a data lake architecture. This approach allows you to store massive amounts of data in a central location so it's readily available to be categorized, processed, analyzed, and consumed by diverse organizational groups. In this session, we’ll assemble a data lake using services such as Amazon S3, Amazon Kinesis, Amazon Athena, Amazon EMR, and AWS Glue.

    Customer Speaker: Burt

       
    12:10 – 13:10 Lunch and Exhibition
       
    13:10 – 13:55

    Analyzing Streaming Data in Real Time
    Adrian Hornsby, Technical Evangelist, AWS

    Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. In this session, we’ll present an end-to-end streaming data solution including data ingestion, real-time processing, and persistence.

    Customer Speaker: Supercell

       
    14:00 – 14:40

    Building a Data Warehouse on AWS
    Sara Mitchell, Solutions Architect, AWS 

    Most companies are over-run with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted structured data inside their data warehouse. In this session, we’ll take an in-depth look at how modern data warehousing blends and analyzes all your data inside and outside your data warehouse without moving the data to give you deeper insights to run your business. We’ll cover best practices on how to design optimal schemas load data efficiently, and optimize your queries to deliver high throughput and performance.

    Customer Speaker: APSIS International AB

       
    14:40 – 15:10 Break
       
    15:10 – 15:55

    Easy and Efficient Batch Computing on AWS
    Arthur Petitpierre, Solutions Architect, AWS

    AWS Batch is a fully managed service that enables developers to easily and efficiently run batch computing workloads of any scale on AWS. AWS Batch automatically provisions the right quantity and type of compute resources needed to run your jobs. With AWS Batch, you don’t need to install or manage batch computing software, which allows you to focus on analyzing results and solving problems. In this session, we’ll describe the core concepts of AWS Batch and detail how the service functions. The presenter will then demonstrate the latest features of AWS Batch with relevant use cases and sample code before describing upcoming features.

    Customer Speaker: Stena Line

       
    16:00 – 16:50 Building Serverless ETL Pipelines
    Danilo Poccia, Technical Evangelist, AWS

    Organizations need to gain insight and knowledge from a growing number of Internet of Things (IoT) APIs clickstreams comprised of unstructured and log data sources. However, organizations are often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we’ll introduce the key ETL features of AWS Glue through use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We’ll also discuss how to build scalable, efficient and serverless ETL pipelines using AWS Glue. Additionally, Merck will share how they built an end-to-end ETL pipeline with AWS Glue for their application release management system and launched it into production in less than a week.
       
  • Cloud Operations

    This track will focus on DevOps methodologies and tools, deployment, and monitoring. Sessions will provide technical coverage of services using demos, code samples, and real-world use cases focused on Container Orchestration Engines, Application Deployment, Continuous Integration, and Infrastructure as Code, Security, and Automation.


    11:20 – 12.10

    Harness the power of infrastructure as code
    Ian Massingham, Technical Evangelist, AWS

    AWS CloudFormation enables software and DevOps engineers to harness the power of infrastructure as code. As organizations automate the modeling and provisioning of applications and workloads with CloudFormation, repeatable processes and reliable deployments become more critical. This session guides you through techniques to improve your infrastructure automation including protecting your AWS resources and stacks with safety guardrails while monitoring infrastructure changes. In addition, we'll cover efficient ways to provision resources across accounts and regions, and show you how to test and improve the reliability of your deployments.

    Customer Speaker: OP Bank

       
    12:10 – 13:10 Lunch and Exhibition 
       
    13:10 – 13:55

    Improve productivity with Continuous Integration & Delivery
    Paul Ahlgren, Partner Solutions Architect, AWS

    Continuous Integration (CI) is a software development practice where developers merge their code changes into a central repository, after which automated builds and tests are run. Using CI, you can find and address bugs more quickly; improve software quality; and reduce the time it takes to validate and release new software updates. With Continuous Delivery (CD), code changes are automatically built, tested, and prepared for a release to production. With CD, developers will always have a deployment-ready build artifact that has passed through a standardized test process, enabling teams to be more agile and increasing the pace of innovation.

       
    14:00 – 14:40

    Taking Devops to the Edge
    Achraf Souk, Solutions Architect, AWS

    In this session, we dive deep into the tools available to apply DevOps practices to your application on AWS closer to the Edge. Attend this session and learn how you can program Cloudfront using Lambda@Edge, automate security with WAF, version Cloudfront configuration using CloudFormation and CodePipeline, monitor your application using Cloudfront/Shield Advanced logs and Cloudwatch, and finally debug performance.

    Customer Speaker: Blockbuster

       
    14:40 – 15:10 Break
       
    15:10 – 15:55

    Scaling From Zero to Million Users
    Arni Birgisson, Solutions Architect, AWS

    Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us to understand best practices for scaling your resources from one to millions of users. We’ll show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.

    Customer Speaker: CCP Games

       
    16:00 – 16:50 Enabling Governance Compliance and Operational and Risk Auditing with AWS Management Tools
    Shahbaz Alam, Professional Services, AWS

    In this session, you’ll learn how to enable governance compliance and undertake operational and risk auditing of your AWS account through a combination of continuous monitoring auditing and evaluation of your AWS resources. With AWS management tools you can see a history of AWS API calls for your account, review changes in configurations and relationships among AWS resources, and dive into detailed resource configuration histories. You can determine your overall compliance with the configurations specified in your internal guidelines and you can give developers and systems administrators a secure and compliant means to create and manage AWS resources.
       
  • Let's Start!

    Learn the art of cloud; start your journey today and scale it tomorrow. This track is about the fundamentals of AWS Cloud. It will provide technical orientation, common methodologies, use cases and customer testimonials. We’ll take you through a journey of organizational transformation, from choosing the right technology to build the skills of your team.


    11:20 – 12.10

    Getting started with AWS Foundational Services
    Aki Haenninen, Solutions Architect, AWS

    Amazon provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It is well-suited for applications ranging from static websites to high performance supercomputing, and is available with flexible pricing options. This session covers the latest EC2 features and capabilities including new instance families, differences between hardware types and capabilities, and use cases.

    Customer Speaker: Dice

       
    12:10 – 13:10 Lunch and Exhibition
       
    13:10 – 13:55

    Security & Compliance in the Cloud
    Tobias Borjeson, Solutions Architect, AWS

    Cloud security at AWS is the highest priority. As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations. In this session you'll learn how to keep your data safe and meet compliance requirements, being able to scale quickly and save money.

    Customer Speaker: Sanoma

       
    14:00 – 14:40

    Managed Relational Databases
    Shafreen Sayyed, Solutions Architect, AWS

    Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity while automating time-consuming tasks such as hardware provisioning, database setup, patching, and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is designed to be compatible with MySQL and PostgreSQL so that existing applications and tools can run without modification.

    Customer Speaker: Syncron

       
    14:40 – 15:10 Break
       
    15:10 – 15:55

    Creating Your Virtual Data Center: VPC Fundamentals and Connectivity Options
    Johan Broman, Solutions Architect, AWS

    In this session, we'll walk through the fundamentals of Amazon VPC, including: build-out, design details, picking your IP space, subnetting, routing, security and NAT. Then, we'll look at different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This session is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with Amazon VPC. 

       
    16:00 – 16:50

    Managed NoSQL databases
    Jarkko Irvonen, Solutions Architect, AWS

    NoSQL is a term used to describe high-performance, non-relational databases. NoSQL databases use a variety of data models, including document, graph, and key-value. NoSQL databases are recognized for ease of development, scalable performance, high availability, and resilience. With AWS, you can use fully-managed NoSQL database services such as Amazon DynamoDB for all applications that need consistent, single-digit millisecond latency at any scale; Amazon Neptune, a graph database built for the cloud; and Amazon ElastiCache, an in-memory data store service where you can choose Redis or Memcached to power your real-time applications.

    Customer Speaker: MovieStar Planet

       
  • Move IT!

    To realize the full benefit of moving to the cloud, applications and services need to be refactored and re-architected, rather than just "lifted-and-shifted". This requires careful planning and execution, and involves people, processes, and technology. In this track, you’ll learn best practices for migrating databases and enterprise applications such as SAP, and for adopting a DevOps culture to transform IT at scale.


    11:20 – 12.10 Accelerate your digital transformation by running SAP on AWS
    John Studdert, Partner Solutions Architect, AWS

    Learn how customers are leveraging AWS to position their enterprises for the digital transformation journey. In this session, you hear about: operations and process; the SAP transformation journey including architecting, migrating, running SAP on AWS; the automation and management of the AWS layer using AWS native services; and a customer example. We’ll also discuss the challenges of migration to the cloud; the benefits to the customer of the new operating model; and lessons learned.
       
    12:10 – 13:10 Lunch and Exhibition
       
    13:10 – 13:55

    Migrate & Modernize your legacy Microsoft applications with AWS
    Julien Lepine, Solutions Architect, AWS

    There are a large number of legacy enterprise Microsoft applications still running on-premises. This session will focus on retiring technical debt and bringing some of those apps into AWS using next generation platforms. You will learn how AWS supports Microsoft applications and how you can leverage application lifecycle management features to move your applications to cloud and serverless .NET platforms. We’ll also show how AWS can help you focus on your core business, and be more agile and cost efficient.

       
    14:00 – 14:40

    VMware Cloud on AWS
    Massimo Re Ferre, Solutions Architect, AWS

    What are best practices for incorporating VMware Cloud on AWS into your existing architectures? You’ll learn about design considerations for integrating your Software Defined Data Centers (SDDCs) with native AWS services, and hear how VMware Cloud on AWS helps leverage existing investments while providing scalability, agility, and security.

       
    14:40 – 15:10 Break
       
    15:10 – 15:55

    Building blocks for a global hybrid cloud
    Aki Haenninen, Solutions Architect, AWS

    Nokia is building a hybrid cloud with AWS, extending their global data centers. This presentation will cover best practices for creating a secure, scalable, and geographically distributed hybrid architecture; and what it takes from a networking, IAM and application deployment perspective. The presentation will be split into two segments: AWS will cover the services used by Nokia as building blocks; and Nokia will describe its approach, account structure, networking topology and business goals.

    Customer Speaker: Nokia

       
    16:00 – 16:50 Navigating GDPR Compliance on AWS
    Paul Ahlgren, Partner Solutions Architect, AWS

    The General Data Protection Regulation (GDPR) comes into force on May 25, 2018. Complying with GDPR can be challenging, but AWS can guide you through the process. In this session, we'll explain the automation mechanisms AWS offers its customers to help with their compliance programs. Specific GDPR articles will be matched to tooling, so knowledge of both will be helpful in understanding the material.
  • AI,IOT & ML

    Whether you’re just getting started with AI or you’re a deep learning expert, this track will provide a meaningful overview of how to get started with AI on the AWS Cloud. We will also explore AWS cloud-native machine learning and deep learning technologies that address different needs.


    11:20 – 12.10 Adding Image and Video Analysis to your Applications
    Tobias Borjeson, Solutions Architect, AWS

    Amazon Rekognition makes it easy to add image and video analysis to your applications. You only need to provide an image or video to the Rekognition API, and the service can identify objects, people, text, scenes, and activities, and detect any inappropriate content. It also provides highly accurate facial analysis and facial recognition. You can detect, analyze, and compare faces for a wide variety of user verification, cataloging, people counting, and public safety use cases. Amazon Rekognition is based on proven, scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily, and requires no machine learning expertise to use.
       
    12:10 – 13:10 Lunch and Exhibition
       
    13:10 – 13:55

    Build, train, and deploy machine learning models at scale
    Julien Simon, Technical Evangelist, AWS

    Machine learning often feels a lot more difficult than it should be because the process of building and training models, and deploying them into production is complicated and slow. Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Apache MXNet and TensorFlow are pre-installed, and Amazon SageMaker offers a range of built-in, high-performance machine learning algorithms. If you want to train with an alternative framework or algorithm, you can bring your own in a Docker container.

       
    14:00 – 14:40

    Enhance customer experience with Conversational Interfaces
    Tara Walker, Technical Evangelist, AWS

    AWS API-driven services bring conversational interfaces into any application. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build speech-enabled products. Amazon Lex provides the advanced, deep learning functionality of automatic speech recognition (ASR) for converting speech to text, while Alexa for Business makes it easy for you to use Alexa in your organization. It can simplify conference rooms, allowing attendees to start meetings and control the equipment in the room simply by using their voice. Alexa can also assist within the workplace, for example, providing directions to a conference room, notifying IT about a broken printer, or placing an order for office supplies.

    Customer Speaker: Husqvarna

       
    14:40 – 15:10 Break
       
    15:10 – 15:55

    Connecting the physical world to the cloud
    Massimiliano Angelino, Solutions Architect, AWS

    AWS IoT services provide a managed cloud platform that lets connected devices interact with cloud applications and other devices easily and securely. In this session, we will discuss how constrained devices can leverage AWS IoT Core to send data to the cloud and receive commands back to the device using the protocol of their choice. AWS Greengrass is software that lets you run local compute, messaging and data caching for connected devices in a secure way. AWS IoT Device Management is a service that makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. With AWS IoT Analytics, you can run sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build your own IoT analytics platform.

    Customer Speaker: Daniel Wellington

       
    16:00 – 16:50

    Machine Learning Inference at the Edge
    Massimiliano Angelino, Solutions Architect, AWS

    Machine Learning (ML) works by using powerful algorithms to discover patterns in data, and constructing complex mathematical models using these patterns. Once a model is built, you perform inference by applying data to the trained model to make predictions for your application. Building and training ML models requires massive computing resources so it is a natural fit for the cloud. But, inference takes a lot less computing power and is typically done in real-time when new data is available, so getting inference results with very low latency is important to making sure your applications can respond quickly to local events. AWS Greengrass ML inference gives you the best of both worlds. You use ML models that are built and trained in the cloud, and you deploy and run ML inference locally on connected devices. For example, autonomous cars need to identify road signs in real time; and drones need to recognize objects with or without network connectivity.

    Customer Speaker: DFDS

       
  • Startups

    You've heard about our mission to support startups by providing innovative technology tools, but how do we think about innovation as Amazon? And how else does AWS support the startup eco-system? As a startup, there’ll be critical decisions you'll need to make along the way. Hear the perspective of others who’ve tread a similar path; get advice from peers and experts within the startup eco-system; and learn more about AWS use cases.


    11:20 – 12.10 Go-to-market with AWS for Startups
    Eric Morales, Startup Team Leader Nordics, AWS

    AWS is known for helping startups scale and grow. Join us to learn more about programs specifically designed for startups including: AWS Activate, AWS Marketplace for SaaS Startups, Amazon Launchpad and the Alexa Fund, to name a few. We’ll outline the ways these go-to-market programs can help accelerate your business, reduce time-to-market and achieve competitive differentiation.
       
    12:10 – 13:10 Lunch and Exhibition
       
    13:10 – 13:55 Panel: How to be a fintech startup in the cloud?
    Fredrik Eriksson, Account Manager, AWS

    Nordic fintech startups secured over 450 million euros of investment last year, making it the most invested-in industry of 2017. Hear from our panel of fintech customers about the future of Nordic fintech, and how they're disrupting the finance landscape to help consumers and businesses make better use of banks, payments, and financial data.
       
    14:00 – 14:40 Panel: The anatomy of a gaming startup?
    Edward Smith, Account Manager, AWS

    The gaming industry has long been on the bleeding edge of technology, pushing development in ways that have grown far beyond its own borders. Today, games companies are faced with ongoing challenges such as: how to exploit VR/AR; gamer demands for more engagement; creating more personalized experiences; and identifying more profitable models without sacrificing any of the fun. Listen to our panel of customer experts as they describe how they're navigating the future of gaming.
       
    14:40 – 15:10 Break
       
    15:10 – 15:55

    How we think about Innovation at Amazon
    James Wood - Startup Account Team Lead Nordics, AWS

    In this session, we’ll review some of the mechanisms and best practices that enable innovation at Amazon, and discuss how they apply to startups. Get insight on how we structure our teams for autonomy and speed to ensure we're meeting the needs of the customer — a process we call Working Backwards. The goal? To drive simplicity through a continuous, explicit customer focus. We'll talk about how startups can apply the Working Backwards framework to develop a minimum set of technology requirements that satisfy market demand as well as the direction of your business.

       
    16:00 – 16:50 The State of the Nordics Startup Eco-system
    Moderator: Anthony Herman -  Nordics VC BDM, AWS

    What does it take to create a world-class startup hub, and how do you build an eco-system of programs, partners, institutions, and startup communities? What are the infrastructure components necessary to make startups successful, and what's the key role of a technology partner like AWS in helping transform market dynamics? In this panel discussion featuring prominent members of the Nordics startup community, we'll take a closer look at current challenges within the eco-system from three different perspectives.
       
    Go-to-market with AWS for Startups
    Eric Morales, Startup Team Leader Nordics, AWS

    AWS is known for helping startups scale and grow. Join us to learn more about how you can benefit from these programs specifically designed for startups including; AWS Activate, AWS Marketplace for SaaS Startups, Amazon Launchpad and the Alexa Fund to name a few. We’ll outline the ways these go-to-market programs can provide startups with the resources to help accelerate your business, reduce time-to-market and achieve competitive differentiation.