Serverless Code Camp Barcelona

Creating a GraphQL endpoint in 60 minutes or less. Assaf Gannon, Javascript Architect, from Tikal. In this talk, we will address 2 of the most interesting topics in recent times - serverless and GraphQL. We will go over the requirements and key tools required to get started with both. We will demonstrate how simple it is to create a GraphQL endpoint and deploy it using Serverless services. Was originally presented at https://www.meetup.com/Fullstack-Developers-Silicon-Valley/events/250007589/

Intro to the serverless code camp in Barcelona. See https://serverless.camp for more info

Internet

Serverless Code Camp
Gojko Adzic gojko@neuri.co.uk
Aleksandar Simovic alexander.simovic@gmail.com

A good hockey player plays
where the puck is. A great
hockey player plays where
the puck is going to be.
1
Wayne Gretzky

4 Amazon AWS Lambda
4 Google Cloud Services
4 Microsoft Azure Functions
4 IBM Open Whisk

Code with batteries included
4 Scaling
4 Monitoring
4 Recovery
4 Versioning
4 Logging

Traditional roles of servers taken over
by the platform

4 Gatekeeper -> Distributed Auth
4 Scaling point -> Containers
4 Orchestration -> Client or workflow engines

Strengths
4 Time to deploy minimal
4 Time to recover irrelevant
4 Multi-versioned
4 Forces small, isolated code modules
4 Fine-grained, transparent, cost of operation
4 Use readily-available services built for massive scale

Weaknesses
4 No strong SLAs yet
4 Latency
4 No PCI compliance
4 No way to keep open connections
4 Requires complete rethink on many common
practices
4 Configuration becomes a challenge

Opportunities
4 Skip a generation of technology/process upgrades
4 Rethink architectural and operational "best
practices"
4 Change billing models
4 Marketplaces for digital services
4 Fine-grained monitoring and optimisation
4 A/B testing throughout

Threats
4 Vendor lock-in (not code, but services)
4 High reliance on external parties

Key components
4 AWS Lambda - execute code
4 API Gateway - HTTP endpoint
4 DynamoDB - Storage (optional)
4 https://aws.amazon.com

Let's make some tanks
4 https://tankwars.serverless.camp/
4 https://github.com/awslabs/chalice
4 https://claudiajs.com/tutorials/

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Microservices from operations aspect

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Kafka at ING has a long history. It all started in 2014 when Kafka was introduced to support our use-cases for fraud detection. The following years saw Kafka growing until 2018 when it took the spotlight at ING as the #1 searched-for technology with an unprecedented adoption curve. Suddenly what was a small trickle of niche use-cases, became a flood of customers on-boarding for every imaginable usage pattern. Even more astonishing was that our single cluster configuration saw almost 700% load increase just in 2018. During the explosion our team was so busy with on-boarding, maintenance and ops that it wasn't clear whether we were supporting or sabotaging our long-term success. It was clear that we needed to challenge our view of how we used Kafka. We asked ourselves: given the demand, how can our clients easily manage their streams while not caring about scaling, clusters or technologies. How to provide Kafka to all 40 ING markets with a single experience regardless of country, app or use-case? To answer that we had a to undertake a paradigm shift - from a single-cluster on premise to multi-cluster hybrid cloud, from ops to self-service, from cluster-based to event-first architecture. In this talk we share our journey of how we completely re-imagined Kafka at ING while serving our clients at lightning speed. We would like to discuss our experience of running a single cluster with more than 1000 topics and show how we made Kafka truly self-service via our Streaming Marketplace. Last, but not least, how the past years of success with Kafka have given us the courage to go all-in on the event-first thinking and never think back, putting ING once again one step ahead. Co-presented by Filip Yonov, Product Owner Kafka @ ING

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API Economy, Realizing the Business Value of APIs

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Persistent Storage for Containerized Applications

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How to automate your BizTalk Installations and Deployments with Chef

In this talk we will go through the journey of codifying the entire IT stack (infrastructure, configuration and applications) in Amazon Web Services (AWS). We will share our findings and how this greatly enables further automation for our IT department. Furthermore, we will talk about advantages both for the business and IT and how we can build on top of this. This presentation was given on 09-05-2017 during a Behind the Scenes talk at Coolblue.

Coolblue in Code - Behind the Scenes

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From the 2017 HPCC Systems Community Day: Gavin Halliday shares the latest features and functionality for what's coming in the next release. Gavin Halliday Enterprise Architect, LexisNexis Gavin is a Lead Enterprise Architect for LexisNexis Risk Solutions and one of the original developers for the HPCC Systems platform, having responsibility for the ECL Compiler. Gavin holds a Physics degree from the University of Oxford and resides in the UK.

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Corneil du Plessis

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Josh Atwell

HPCC Systems 6.4.0 and Beyond

HPCC Systems

In this session Johann will explain some of the basics of the BizTalk BRE before moving on to advanced topics. Some of the basics include an explanation of what facts are and how the BRE works with them, rule priorities, long running facts, versioning and source control, and deployment. He will then demonstrate some more advanced topics such as executing business rules from a .NET application, rules traceability, and will discuss how to assert the various different types of facts. Finally he will explain and demonstrate the usage of the BRE Pipeline Framework CodePlex project to build loosely coupled and lightweight solutions with minimal custom development.

BRE Deep Dive

With the world moving to the cloud, the need to conduct testing has simultaneously arisen. This PPT will shed light on the key factors under cloud computing and the types of testing performed for the same. Get to know more on Cloud Service Models, Key Characteristics, Cloud Testing, Functional testing, Performance and Benchmark testing, Network resting, Interoperability and Compatibility testing, cloud testing tools, and cloud testing methodology through this PPT as well as stay tuned for the upcoming ones.

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What's hot (20)

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Cloud Native Applications for Cloud Foundry using Spring Cloud : A Workshop

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Orchestrating Cloud Workloads with RightScale Self-Service

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From the Gaming Scalability event, June 2009 in London (http://gamingscalability.org). What's the state of play with Cloud Services in 2009? Which businesses are on the cloud and why? When should you look at cloud services and what's the payoff? Alexis Richardson is CEO and co-founder of Rabbit Technologies Ltd., the commercial support company behind RabbitMQ, a leading implementation of the AMQP open business messaging standard. Alexis is also co-chair of OCCI, the new initiative from OGF to develop an Open Cloud Computing Interface. Alexis Richardson is also a co-founder of CohesiveFT. Recently CohesiveFT spun off its investment in Rabbit Technologies Limited which is now operating as a separate company. Previously Alexis was CEO and co-founder of MetaLogic, a middleware company specializing in high throughput caching and transaction management products. As a past consultant for Fortune 1000 corporations, he has worked on various high performance front-office trading solutions. Before that he worked in proprietary trading of fixed-income derivatives at Goldman Sachs, after researching and teaching mathematical logic and computer science at Oxford University.

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From the Gaming Scalability event, June 2009 in London (http://gamingscalability.org). Simon will discuss some of the key components of a compute grid infrastructure and highlight some of the key challenges organisations have to meet as their compute grids expand. Simon will also discuss one organisation within the spread betting industry who has recently started using grid technology. Finally Simon will describe how compute grids within the capital markets are beginning to resemble private clouds, and how the underlying infrastructure needs to change to enable these organisation to support a much wider range of applications running on the grid. Simon Waterer is a Senior Solutions Architect with Platform Computing, a leading provider of HPC software. Since joining Platform, Simon has worked with a number of clients within the capital markets and insurance industry to understand their grid computing requirements. Recently Simon has worked with leading organisations within the spread betting industry who also have distributed processing requirements. Prior to working with grid technology Simon has had experience working with a number of other middleware technologies including data caching, messaging middleware and event stream processing.

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Serverless integrations can be a game changer for business focused on advancing their technological capabilities. But, have you ever questions if serverless is right for your use case? Serverless and cloud native implementations can be intimidating if you plan on migrating an entire on-premise system to the cloud over the course of months or even years with an ROI that is far in the future.In this webinar hosted by Big Compass, you will find out if the benefits and use cases of serverless integrations are right for your use cases. We will also explore the most effective way to take your integrations to the serverless cloud quickly so you can maximize your ROI and overcome the obstacles to get there. You will learn: 1. How a serverless implementation can benefit your integrations 2. Mitigation techniques for pain points around implementing serverless technology in the cloud 3. Integration use cases for serverless implementations 4. An effective way to take your integrations to the serverless cloud Who should attend: • IT leaders planning to move their legacy/on-premise/iPaas system to the cloud • People who are new or just starting out with serverless/cloud implementations • Anyone considering using serverless technology for an upcoming implementation Reasons to attend: • Find your most effective path to quickly move to the cloud for your integrations

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Los patrones están en todos lados. Los patrones de diseño han existido desde hace mucho tiempo para las arquitecturas tradicionales (monolíticas). Los patrones nos permiten tener un abanico de opciones de diseño predeterminadas, que se pueden aplicar según cada problema de negocio y tecnológico, dándonos una ventaja en el diseño de la solución, dado que son estructuras que han sido probadas durante el tiempo en forma repetitiva, hasta consolidarse como un patrón. Sin embargo, los patrones de diseño han cambiado con la llegada de la nube y el enfoque de microservicios. En esta oportunidad vamos a discutir en profundidad estos patrones de diseño y su aplicabilidad. https://www.meetup.com/Cloud-Native-Chile/

CloudDesignPatterns

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Liberty Mutual’s strategic shift to the cloud and pipeline automation enabled efficient provisioning, cost, and control over resource utilization and reduced time to market. In this session, learn how Liberty Mutual modernized its finance system by moving to S/4HANA to achieve business goals of faster book close, real-time reporting, and agile delivery of features. We also cover design considerations, such as the challenges of fitting SAP infrastructure within the confines of enterprise security controls, as well as those of high availability, backups, and patching.

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Deploying commercial applications that meet their expected business needs is challenging due to the differences between how business goals are specified and how the system is evaluated. Furthermore, business goals are dynamic, requiring deployment to change constantly over time. Such difficulties make it costly to maintain application quality as the underlying infrastructure is not always fast enough to keep up with business changes. Nowadays, serverless opens a new approach to build application. By abstracting out the deployment details, serverless application can be implemented with minimum deployment efforts. Serverless also reduces maintenance cost with auto-scaling and pay-as-you-go. Such abilities make us believe that by adopting serverless, we can build application that can meet and quickly adapt to business goals. However, simply writing applications with serverless is not sufficient. Due to best-effort invocation mechanisms and the lack of application structure awareness, serverless performance is highly variable and often fails to support applications with rigorous quality of service requirements. In this study, we aim to mitigate such limitations by coupling serverless deployment with business needs. In particular, we define an Serverless Service-Level Objective (SLO) interface that allows developers to describe their application structure and business goals in terms of software-level objectives. We implement an SLO enforcer, which uses this information in combination with the system performance metrics to decide a proper serverless deployment and resource allocation for meeting business goals. The Serverless SLO leverages blueprint model, which allow developers to describe applications' architecture and runtime characteristics needs, to map application description to serverless function deployment on the top of Knative. We deploy our proposed system on KinD, a tool to run Kubernetes cluster over our local Docker container, and evaluate it with different system configurations. Evaluation results showed that SLO definition and enforcement helps serverless application use resources in accordance with business goals.

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AWS’ suite of serverless technology has enabled enterprises in Financial Services to move quickly from conception to reality. By leveraging AWS, you can run code without provisioning or managing servers—and you only pay for what you use. In this session, we will walk through how we worked with Broadridge to take their Experience Manager application from design to deployment and provide details around how numerous AWS services were leveraged, including Cognito, Lambda, S3, DynamoDB, and SES. We will also dive into how the use of serverless technology can enable developers to move quickly, while improving security postures, minimizing management, and simplifying operations.

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From the Gaming Scalability event, June 2009 in London (http://gamingscalability.org). Today's electronic markets are demanding lower and lower end-to-end latency. The acceptable time from an event occurring to reporting the effect of the event to consumers around the world has gone down to seconds and even sub-second in some cases. This presentation shows how the combination of an Enterprise Data Fabric inside the firewall and Push Technology for delivery over the Internet ("the last mile") can effectively address this problem and turn it into competitive advantage. Christian James is the product manager of Push Technology's high performance and low latent messaging product suite Diffusion. Christian leverages his knowledge and experience of the delivery of e-Commerce/betting and trading platforms, within the sports and financial markets, to expand and align Push Technology's product offering to the gaming fraternity. Prior to joining Push Technology Christian was head of IT for Cantor Spreadfair, a peer to peer spread betting exchange, and, prior to that, a lead within Deutsche Bank's FX e-Commerce team responsible for the design and development of Deutsche Bank's award winning autobahn�FX e-Commerce trading platform. Mike Stolz is vice president of architecture and strategy for financial services at GemStone Systems. In his role, Stolz leverages his expertise in targeting, developing and delivering innovative technology solutions to expand GemStone's global financial services offering and cultivate its growing capital markets division. During the ten years prior to joining GemStone Stolz served as director and chief architect of Merrill Lynch's global markets and investment banking debt division. In this role, Stolz was responsible for the design and development of trading systems and trading support systems for Fixed Income, Currencies, Commodities, Liquidity and Risk.

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