AWS for Start-ups - Case Study - Go Squared

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Amazon Web Services

Customer Case Study - GoSquared, Geoff Wagstaff, Co-Founder & CTO

Real-Time Web Analytics
On

Amazon Web Services

@TheDeveloper

Google Campus
February 2013

Real-time web analytics

James Taylor Geoﬀ Wagstaﬀ James Gill
Developer + Co-founder CTO + Co-founder CEO + Co-founder

LiveStats

In 2009, our Server melted.

Conventional Hosting
• Contractual lock-in. Fixed term subscription

• Laborious and slow to provision resources

• Restricted

• Dedicated, but not bespoke

• Boring

Business constraints
• Experimental technology

• Agility

• Low budget

• Inexperience

• High barrier to entry in market

GET TO THE CLOUD!!!11!!one!

Why AWS?
CloudWatch

CloudFront StorageGateway
S3
EC2 VPC
CloudFormation

Diverse + growing range of services
RDS Data Pipeline DynamoDB
SES
SNS SWF
SQS Glacier ElasticBeanstalk
IAM Route53

RedShift CloudSearch ElastiCache ElasticTranscoder

Why AWS?

Flexible & Scalable

Why AWS?

Pay-as-you-use Pricing

Why AWS?

Platform agnostic

Why AWS?

Reputable

Challenges
• Daunting. Requires new skills and role changes

• More moving parts

• Architecting for cloud

• Deployment - resources, software, data

• Automation - scaling, failover, backup

Advantages
• Full control - freedom, bespoke

• Fosters good system design paradigms & avoids complacency

• Abundant tools, services, community + documentation

• Lowered barriers to entry: infrastructure for anyone

• Reduced time to market

Gap Year project: Trends

Angels (2010)

Series A (2011)

6 Team Members

Average age: 21

25,000 sites and counting

Traﬃc
100s Thousands
concurrent visitors
100s Millions
pageviews/month

10s Thousands 99.9%
Requests/second Uptime

Our Stack (tidier)
Traﬃc

Tiered, decoupled, load-balanced
ELB Load Balancer
clusters

Reverse Proxy Auto-scaling. Spot instances

Service-oriented architecture:
Services
Collectors, processing, API,
Applications, Website

Redis, MongoDB,
Data Stores Fault tolerance, failover, backups
MySQL (RDS), EBS, S3

AWS Services: EC2, S3, RDS, Route53, CloudWatch, SNS, IAM

How we do...
Monitoring
Graphite - http://graphite.wikidot.com/

Ganglia

CloudWatch

ServerDensity
PagerDuty

Best Practices
Scale only when necessary

Automate wisely

Decouple using APIs + messaging

Monitor and log everything

Destroy
Everything

Thanks!

Geoﬀ Wagstaﬀ

@TheDeveloper

https://engineering.gosquared.com

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Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Amazon Web Services

La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup. Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti. Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.

Big Data per le Startup: come creare applicazioni Big Data in modalità Server...

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Big Data per le Startup: come creare applicazioni Big Data in modalità Server...

Amazon Web Services

Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi

Esegui pod serverless con Amazon EKS e AWS Fargate

Esegui pod serverless con Amazon EKS e AWS Fargate

Esegui pod serverless con Amazon EKS e AWS Fargate

Amazon Web Services

Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.

Costruire Applicazioni Moderne con AWS

Costruire Applicazioni Moderne con AWS

Costruire Applicazioni Moderne con AWS

Amazon Web Services

L’utilizzo dei container è in continua crescita. Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili. I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!

Come spendere fino al 90% in meno con i container e le istanze spot

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Come spendere fino al 90% in meno con i container e le istanze spot

Amazon Web Services

In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th. Event Agenda : Open banking so far (short recap) • PSD2, OB UK, OB Australia, OB LATAM, OB Israel Intro to Open Finance marketplace • Scope • Features • Tech overview and Demo The role of the Cloud The Future of APIs • Complying with regulation • Monetizing data / APIs • Business models • Time to market One platform for all: a Strategic approach Q&A

Open banking as a service

Open banking as a service

Open banking as a service

Amazon Web Services

Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc. AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta. Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

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Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Amazon Web Services

Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity. AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet. Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Amazon Web Services

Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Amazon Web Services

Computer Vision con AWS

Computer Vision con AWS

Computer Vision con AWS

Amazon Web Services

Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti. Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.

Database Oracle e VMware Cloud on AWS i miti da sfatare

Database Oracle e VMware Cloud on AWS i miti da sfatare

Database Oracle e VMware Cloud on AWS i miti da sfatare

Amazon Web Services

Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti. Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire. Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito. In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

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Amazon Web Services

Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline. Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.

API moderne real-time per applicazioni mobili e web

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API moderne real-time per applicazioni mobili e web

Amazon Web Services

Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali. In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.

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Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Amazon Web Services

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Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.

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Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

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💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

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Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

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Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

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Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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ICT role in 21st century education and its challenges

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AWS for Start-ups - Case Study - Go Squared

1. Real-Time Web Analytics On Amazon Web Services @TheDeveloper Google Campus February 2013

2. Real-time web analytics

3. James Taylor Geoﬀ Wagstaﬀ James Gill Developer + Co-founder CTO + Co-founder CEO + Co-founder

4.

6.

7. In 2009, our Server melted.

8. Conventional Hosting • Contractual lock-in. Fixed term subscription • Laborious and slow to provision resources • Restricted • Dedicated, but not bespoke • Boring

9. Business constraints • Experimental technology • Agility • Low budget • Inexperience • High barrier to entry in market

10. GET TO THE CLOUD!!!11!!one!

11. Why AWS? CloudWatch CloudFront StorageGateway S3 EC2 VPC CloudFormation Diverse + growing range of services RDS Data Pipeline DynamoDB SES SNS SWF SQS Glacier ElasticBeanstalk IAM Route53 RedShift CloudSearch ElastiCache ElasticTranscoder

12. Why AWS? Flexible & Scalable

13. Why AWS? Pay-as-you-use Pricing

14. Why AWS? Platform agnostic

15. Why AWS? Reputable

16. Challenges • Daunting. Requires new skills and role changes • More moving parts • Architecting for cloud • Deployment - resources, software, data • Automation - scaling, failover, backup

17. Advantages • Full control - freedom, bespoke • Fosters good system design paradigms & avoids complacency • Abundant tools, services, community + documentation • Lowered barriers to entry: infrastructure for anyone • Reduced time to market

18. Gap Year project: Trends

19. Angels (2010) Series A (2011)

20. 6 Team Members Average age: 21

21. 25,000 sites and counting

22. Traﬃc 100s Thousands concurrent visitors 100s Millions pageviews/month 10s Thousands 99.9% Requests/second Uptime

23. Our Stack (tidier) Traﬃc Tiered, decoupled, load-balanced ELB Load Balancer clusters Reverse Proxy Auto-scaling. Spot instances Service-oriented architecture: Services Collectors, processing, API, Applications, Website Redis, MongoDB, Data Stores Fault tolerance, failover, backups MySQL (RDS), EBS, S3 AWS Services: EC2, S3, RDS, Route53, CloudWatch, SNS, IAM

24. How we do... Monitoring Graphite - http://graphite.wikidot.com/ Ganglia CloudWatch ServerDensity PagerDuty

25. Best Practices Scale only when necessary Automate wisely Decouple using APIs + messaging Monitor and log everything

26. Destroy Everything

27. Thanks! Geoﬀ Wagstaﬀ @TheDeveloper https://engineering.gosquared.com