(ENT302) Cost Optimization on AWS | AWS re:Invent 2014

•

20 likes•2,927 views

This session is a deep dive into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending; often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily applicable methods to save you time and money with Amazon EC2, Amazon S3, and a host of other services.

Technology

November 13, 2014 | Las Vegas, NV
Tom Johnston, Amazon Web Services

Instance
vCPU
Mem(GiB)
Monthly price(3-yr heavy RI )
Idealuse case
c3.2xlarge
8
15
$121.22
Best price-computeperformance
m3.2xlarge
8
30
$161.15
Balanced
r3.2xlarge
8
61
$189.66
Lowest cost per GiBRAM
r3.xlarge
4
30.5
$94.83
Lowestcost per GiBRAM

Instance
vCPU
Mem(GiB)
Monthly price(3-yr heavy RI )
Idealuse case
m3.medium
1
3.75
$20.16
Always available,balanced
c3.large
2
3.75
$29.95
Alwaysavailable, compute
t2.medium
2
4
$17.87
Burstyworkloads

CloudFront
DynamoDB
Amazon RDS
ElastiCache
Amazon Redshift
Amazon EMR
Amazon
Kinesis
Amazon
WorkSpaces

https://calculator.s3.amazonaws.com/index.html

While compute becomes faster and cheaper we are tempted to abandon sanity and shield ourselves from reality and laws of physics. The resulting mess of monstrous Slack instances rampaging across our RAM should makes us stop (because our computers did it already) and wonder where did we go wrong? Rising developer salaries and time to market pace are tempting us abandon all hope for optimising our code and understanding our systems. Contrary to what casual reader could think this is a deeply technical presentation. We will gaze into hardware counters, NUMA nodes, vector registers and that darkness will stare back at us. All this to get a taste of what is possible on current hardware, to learn the COST of scalability and forever change how you feel when accessing invoice list in your local utilities provider UI so that after 20s of waiting all 12 elements will be displayed (surely Cthulhu must be eating their compute because it is NOT possible Tauron hosts it's billing services on FIRST GEN IPHONE).

Everything You Wanted to Know About Overflow, Expiration and Eviction

VMware Tanzu

Weightlifting at SimplySocial

Bogdan Gaza

Scaling metrics

Vladimir Varfolomeev

In class, we discussed min-heaps. In a min-heap the element of the heap with ...

licservernoida

In class, we discussed min-heaps. In a min-heap the element of the heap with the smallest key is the root of a binary tree. A max-heap has as root always the element with the biggest key and the relationship between the keys of a node and its parent is less than or equal (). Your task is to develop your own binary tree ADT and your own flex-heap ADT. The flex-heap ADT must implement a min- as well as a max-heap. Apparently, instead of defining a removeMin or removeMax operation you will only provide a remove operation in your flex-heap. It must be implemented using your binary tree ADT. You have to implement these two ADTs in Java. The flex-heap ADT has to additionally support the dynamic switch from a min- to a max-heap and vice versa: remove() removes and returns the element with the smallest or biggest key value depending on the heap status (min-heap vs. max-heap) and repairs the flex-heap afterwards accordingly. toggleHeap() transforms a min- to a max-heap or vice versa. switchMinHeap() transforms a max- to a min-heap. switchMaxHeap() transforms a min- to a max-heap. Binary trees must be implemented with an extendable array-list similar to what we discussed in class and in §7.3.5 of the textbook. You are not allowed to implement trees with lists. Further, you are not allowed to use any array-list, queue, vector, (binary) tree, or heap interfaces already available in Java. Your toggleHeap, switchMinHeap, and switchMaxHeap operations must run in O(n) time. All other flex-heap operations must be either in O(1) or O(log n). You may safely assume for the binary tree and flex-heap ADT that keys are of type integer and values are of type character. So, the use of generics is not required. You have to submit the following deliverables: a) Specification of the binary tree and flex-heap ADTs including comments about assumptions and semantics (especially about the 3 added flex-heap operations). b) Pseudo code of your implementation of the binary tree and flex-heap ADTs. Keep in mind that Java code will not be considered as pseudo code. Your pseudo code must be on a higher and more abstract level. c) Well-formatted and documented Java source code and the corresponding executable jar file with at least 20 different but representative examples demonstrating the functionality of your implemented ADTs. These examples should demonstrate all cases of your ADT functionality (e.g., all operations of your ADTs, sufficient sizes of flex-heaps, sufficient number of down and up-heap, toggleHeap, switchMinHeap, and switchMaxHeap operations). You must have separate tests for each ADT but the majority of tests should cover flex-heaps because they are implemented using binary trees.

Amazon Elastic Compute Cloud (Amazon EC2) provides resizable compute capacity in the cloud and makes web scale computing easier for customers. Amazon EC2 provides a wide variety of compute instances suited to every imaginable use case, from static websites to high performance supercomputing on-demand, available via highly flexible pricing options. Amazon EC2 works with Amazon Elastic Block Store (Amazon EBS) and Auto Scaling to make it easy for you to get the performance and availability you need for your applications. This session will introduce the key features and different instance types offered by Amazon EC2, demonstrate how you can get started and provide guidance on choosing the right types of instance and purchasing options.

Extend your Datacentre with the AWS Cloud

Amazon Web Services

AWS Summit 2014 Perth - Breakout 5 Increased agility, elasticity, focus on core business, optimized costs, and better security are all good outcomes when it comes to working with AWS. But, for an enterprise with many existing complex applications, integrated operations, and sophisticated teams, this integration and transition requires thought and planning. Within this session, we will start with a typical enterprise customer and work backwards step by step to show how an extreme IT makeover it possible with reusable examples; demonstrating that an application doesn’t have to be written for cloud to realize cloud’s benefits. Many large-scale shops are already leveraging AWS without sacrificing what they are good at, and we will explain the framework for kicking off this initiative within your own organization. Presenter: Richard Busby, Solutions Architect, Amazon Web Services

AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...

Amazon Web Services

(ENT304) Governed, Trusted, and Rogue: The Good, the Bad, and the Ugly Inside...

Amazon Web Services

Most enterprises struggle with the delicate balance of enabling agility and innovation while ensuring proper compliance and corporate governance. In this session, we share lessons learned in identifying, consolidating, and governing AWS accounts across an enterprise while still allowing autonomy and innovation. We walk through the different ways enterprises manage their AWS accounts: governed, trusted, and rogue, the lessons learned in transitioning account types, and the benefits of each. Additionally, we share best practices for optimizing and controlling your AWS costs, managing security and user roles, and improving overall program management.

(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...

Amazon Web Services

We will explore the strengths and limitations of Hadoop for analyzing large data sets and review the growing ecosystem of tools for augmenting, extending, or replacing Hadoop MapReduce. We will introduce the Amazon Elastic MapReduce (EMR) platform as the big data foundation for Hadoop and beyond by providing specific examples of running Machine Learning (Mahout), Graph Analytics (Giraph), and Statistical Analysis (R) on EMR. We will discuss also big data analytics and visualization of results with Amazon Redshift + third party business intelligence tools, as well as typical end-to-end Big Data workflow on AWS. We will conclude with real-world examples from ICAO of Big Data analytics for aviation safety data on AWS. The integrated Safety Trend Analysis and Reporting System (iSTARS) is a web based system linking a collection of safety datasets and related web application to perform online safety and risk analysis. It uses AWS EC2, S3, EMR and related partner tools for continuous data aggregation and filtering.

How & When to Use NoSQL at Websummit Dublin

Amazon Web Services

How Companies are Using Cloud-Based Data Visualization & Analytics to Transfo...

Amazon Web Services

AWS Summit 2014 Melbourne - Breakout 4 The importance of Business Intelligence and Analytics continues to grow with billions of dollars being spent on BI projects every year. However, in spite of the spend and the focus from the highest echelons in many organizations, only a fraction of information workers today actually have access to the data they need. The reason? Most business users don't use a BI tool, nor do they want to. What they really want is for the information they need to be delivered inside the tools and applications they do use every day. Unfortunately, the cost and complexity of traditional BI makes this impossible. Now, thanks to the advent of Cloud-based reporting and analytics these barriers of cost and complexity are disappearing, allowing many more companies to build these capabilities into their applications and services. In this session, we'll look a number of case studies, from a Silicon-Valley recruiting startup to a global mobile application platform provider who are using cloud-based BI to transform their markets and the benefits and opportunities they are seeing from this. Presenter: Andrew Lampitt, GM Cloud, Jaspersoft

(ENT401) Hybrid Infrastructure Integration | AWS re:Invent 2014

Amazon Web Services

Hybrid Infrastructure Integration is an approach to connect on-premises IT resources with AWS and bridge processes, services, and technologies used in common enterprise customer environments. This session addresses connectivity patterns, security controls, account governance, and operations monitoring approaches successfully implemented in enterprise engagements. Infrastructure architects and IT professionals can get an overview of various integration types, approaches, methodologies, and common service patterns, helping them to better understand and overcome typical challenges in hybrid enterprise environments.

(ARC401) Black-Belt Networking for the Cloud Ninja | AWS re:Invent 2014

Amazon Web Services

Do you need to get beyond the basics of VPC and networking in the cloud? Do terms like virtual addresses, integrated networks and network monitoring get you motivated? Come discuss black-belt networking topics including floating IPs, overlapping network management, network automation, network monitoring, and more. This expert-level networking discussion is ideally suited for network administrators, security architects, or cloud ninjas who are eager to take their AWS networking skills to the next level.

AWS Dublin Briefing - Cool AWS Use Cases

Ian Massingham

AWS Cloud School Introductory Presentation

Ian Massingham

AWS Cost OptimizationMiles Ward

Spotinst 'AWS Cost Optimization' Webinar - Jan 20th, 2016

Spotinst

Understand AWS Pricing

Lynn Langit

Optimizing Costs and Efficiency of AWS Services

Amazon Web Services

Amazon S3 Masterclass

Ian Massingham

메가존과 AWS가 공개하는 AWS 비용 최적화 전략-메가존 김성용 매니저 및 AWS 이우상 매니저:: AWS Cloud Track 3 Ga...

Amazon Web Services Korea

Cost Optimization on AWS - Pop-up Loft Tel Aviv

Amazon Web Services

AWS re:Invent 2016: Dollars and Sense: Technical Tips for Continual Cost Opti...

Amazon Web Services

In this session, we explore techniques, tools, and partner solutions that provide a framework for monitoring, analyzing, and automating cost savings. We look at several case studies and real world examples where our customers have realized significant savings. Some of the specific topics covered are: migration cost management; cost-effective hybrid architectures; saving money with microservices; serverless computing with AWS Lambda, and Amazon EC2; using fungible components to drive down costs over time; cost vs. performance vs. value; AWS purchasing strategies (On-Demand, Reserved Instances, and the Spot Market), tools and services from both AWS (AWS Trusted Advisor, Amazon CloudWatch, etc.) and our partner solutions that can help with cost optimization. Finally, we roll all of these into an automated process for continuous optimization.

Optimizing for Costs in the CloudAmazon Web Services LATAM

(ADV402) Beating the Speed of Light with Your Infrastructure in AWS | AWS re:...

Amazon Web Services

With Amazon Web Services it's possible to serve the needs of modern high performance advertising without breaking the bank. This session covers how AdRoll processes more than 60 billion requests per day in less than 100 milliseconds each using Amazon DynamoDB, Auto Scaling, and Elastic Load Balancing. This process generates more than 2 GB of data every single second, which will be processed and turned into useful models over the following hour. We discuss designing systems that can answer billions of latency-sensitive global requests every day and look into some tricks to pare down the costs.

Viewers also liked

Jump Start your First Hour with AWS

Amazon Web Services

Introduction to Amazon EC2

Amazon Web Services

Extend your Datacentre with the AWS Cloud

Amazon Web Services

AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...

Amazon Web Services

(ENT304) Governed, Trusted, and Rogue: The Good, the Bad, and the Ugly Inside...

Amazon Web Services

(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...

Amazon Web Services

How & When to Use NoSQL at Websummit Dublin

Amazon Web Services

How Companies are Using Cloud-Based Data Visualization & Analytics to Transfo...

Amazon Web Services

(ENT401) Hybrid Infrastructure Integration | AWS re:Invent 2014

Amazon Web Services

(ARC401) Black-Belt Networking for the Cloud Ninja | AWS re:Invent 2014

Amazon Web Services

AWS Dublin Briefing - Cool AWS Use Cases

Ian Massingham

AWS Cloud School Introductory Presentation

Ian Massingham

AWS Cost OptimizationMiles Ward

Spotinst 'AWS Cost Optimization' Webinar - Jan 20th, 2016

Spotinst

Understand AWS Pricing

Lynn Langit

Optimizing Costs and Efficiency of AWS Services

Amazon Web Services

Amazon S3 Masterclass

Ian Massingham

메가존과 AWS가 공개하는 AWS 비용 최적화 전략-메가존 김성용 매니저 및 AWS 이우상 매니저:: AWS Cloud Track 3 Ga...

Amazon Web Services Korea

Cost Optimization on AWS - Pop-up Loft Tel Aviv

Amazon Web Services

AWS re:Invent 2016: Dollars and Sense: Technical Tips for Continual Cost Opti...

Amazon Web Services

Viewers also liked (20)

Jump Start your First Hour with AWS

Introduction to Amazon EC2

Extend your Datacentre with the AWS Cloud

AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...

(ENT304) Governed, Trusted, and Rogue: The Good, the Bad, and the Ugly Inside...

(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...

How & When to Use NoSQL at Websummit Dublin

How Companies are Using Cloud-Based Data Visualization & Analytics to Transfo...

(ENT401) Hybrid Infrastructure Integration | AWS re:Invent 2014

(ARC401) Black-Belt Networking for the Cloud Ninja | AWS re:Invent 2014

AWS Dublin Briefing - Cool AWS Use Cases

AWS Cloud School Introductory Presentation

AWS Cost Optimization

Spotinst 'AWS Cost Optimization' Webinar - Jan 20th, 2016

Understand AWS Pricing

Optimizing Costs and Efficiency of AWS Services

Amazon S3 Masterclass

메가존과 AWS가 공개하는 AWS 비용 최적화 전략-메가존 김성용 매니저 및 AWS 이우상 매니저:: AWS Cloud Track 3 Ga...

Cost Optimization on AWS - Pop-up Loft Tel Aviv

AWS re:Invent 2016: Dollars and Sense: Technical Tips for Continual Cost Opti...

Similar to (ENT302) Cost Optimization on AWS | AWS re:Invent 2014

Optimizing for Costs in the CloudAmazon Web Services LATAM

(ADV402) Beating the Speed of Light with Your Infrastructure in AWS | AWS re:...

Amazon Web Services

14h00 aws costoptimization_jvariainfolive

AWS Summit 2011: Optimizing for Cost in the AWS CloudAmazon Web Services

개발자가 알아두면 좋을 5가지 AWS 인공 지능 깨알 지식 - 윤석찬 (AWS 테크 에반젤리스트)

Amazon Web Services Korea

인공 지능을 공부하려는 개발자들이 필연적으로 부딪히는 문제 상황에 대한 해법을 알려드립니다. 본 세션에서는 손쉬운 딥러닝 인프라 설정, 빠른 모델 학습 과정, 기존 서비스에 인공 지능 기능 탑재 방법 등에 대한 다양한 서비스와 활용 사례를 데모와 함께 보여 드립니다. - 딥러닝 인프라 설정 및 빠른 모델 학습 과정 소개 - AI 기반 이미지 인식 및 TTS 서비스 서비스 활용 사례

2014 Import.io Data Summit - Including Hadoop/Impala Getting Started Demo

Ian Massingham

(SDD404) Amazon RDS for Microsoft SQL Server Deep Dive | AWS re:Invent 2014

Amazon Web Services

Let’s Make Your CFO Happy; A Practical Guide for Kafka Cost Reduction with El...

HostedbyConfluent

According to Gartner Forecasts, the worldwide end-user spending on public cloud services is forecast to grow by 23% in 2021, to a total of $332B. Kafka is no different in that matter. Organizations all over the world are using Kafka as their main stream-processing platform for collecting, processing, and analyzing data at scale. As organizations evolve and grow, data rates grow too, as does the consequent Kafka deployment cost. So what can we do? -- In this talk, we are going to address exactly this problem. We will understand what we are paying for when running a self-hosted Kafka deployment, where we can cut costs, how to develop an economic mindset, and what we can proactively do to reduce our cloud infrastructure cost.

(ARC311) Extreme Availability for Mission-Critical Applications | AWS re:Inve...

Amazon Web Services

More and more businesses are deploying their mission-critical applications on AWS, and one of their concerns is how to improve the availability of their services, going beyond traditional availability concepts. In this session, you will learn how to architect different layers of your application―beginning with an extremely available front-end layer with Amazon EC2, Elastic Load Balancing, and Auto Scaling, and going all the way to a protected multitiered information layer, including cross-region replicas for relational and NoSQL databases. The concepts that we will share, using services like Amazon RDS, Amazon DynamoDB, and Amazon Route 53, will provide a framework you can use to keep your application running even with multiple failures. Additionally, you will hear from Magazine Luiza, in an interactive session, on how they run a large e-commerce application with a multiregion architecture using a combination of features and services from AWS to achieve extreme availability.

Aws meetup (sep 2015) exprimir cada centavo

Sebastian Montini

Penny Pinching at Scale

Amazon Web Services

AWS' breadth of services and pricing options, offer the flexibility to effectively manage your costs and still keep the performance and capacity your business requires. With AWS, you can easily right size your services, leverage Reserved Instances, and use tools to track and monitor your resources so you can always be on top of your how much you’re spending. This session covers best practices around cost optimization for large scale deployments on AWS. Speaker: Vikrant Yagnick Head - India Enterprise Support

Save Money by Uncovering Kafka’s Hidden Cloud Costs

HostedbyConfluent

"These days, optimizing costs and increasing efficiencies are on everyone’s mind, so this might be the first time in many years that you’ve had to rationalize and justify your cloud costs. Your Kafka spend is likely no exception. But figuring out how much your Cloud-based Kafka costs can be challenging. Your cloud provider doesn’t give you a bill that says, “here is how much your Kafka service costs.” You need to tag all your machines, examine network utilization, and track down all the teams that are using your service. In this session, we will dive into Kafka’s network, storage, compute costs, and more to show you how to calculate and anticipate the bill for your Kafka deployment. And to take it a step further, we’ll explore what Confluent has done to reduce Kafka cloud costs for ourselves and our customers. By the end of the session, you’ll have the knowledge you need to be more efficient in your Kafka cloud usage, justify your cloud-based Kafka deployment, and ultimately save you and your company money."

AWS Summit Tel Aviv - Startup Track - Data Analytics & Big DataAmazon Web Services

Andrii Dembitskyi "Events in our applications Event bus and distributed systems"

Fwdays

События являются довольно сильным инструментом для приложений: коммуникация между компонентами системы; история действий над данными; триггеры для операций; интеграция с посторонними системами. Во время доклада я расскажу о применениях событий. На какие грабли можно наступить спеша в выборе инструмента и какое место они имеют в нашей архитектуре.

AWS Cloud Kata | Bangkok - Getting to ProfitabilityAmazon Web Services

Comparing Cloud VM Types and Prices: AWS vs Azure vs Google vs IBM

RightScale

Cloud Price Comparison - AWS vs Azure vs Google

RightScale

AWS Public Sector Symposium 2014 Canberra | Managing Seasonal Workloads on AWS

Amazon Web Services

Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBM

RightScale

The cloud price wars are heating up with Azure’s announcement of reserved instances, the introduction of per-second billing by AWS and Google, and other recent changes from the leading cloud providers. To get the most out of your cloud spend, you need to stay on top of the latest information on price cuts and changes to pricing models. And if your organization is multi-cloud, you may even want to adjust your investment across your cloud providers based on who has the lowest prices.

Fraud Detection with Amazon Machine Learning on AWS

Amazon Web Services

Similar to (ENT302) Cost Optimization on AWS | AWS re:Invent 2014 (20)

Optimizing for Costs in the Cloud

(ADV402) Beating the Speed of Light with Your Infrastructure in AWS | AWS re:...

14h00 aws costoptimization_jvaria

AWS Summit 2011: Optimizing for Cost in the AWS Cloud

개발자가 알아두면 좋을 5가지 AWS 인공 지능 깨알 지식 - 윤석찬 (AWS 테크 에반젤리스트)

2014 Import.io Data Summit - Including Hadoop/Impala Getting Started Demo

(SDD404) Amazon RDS for Microsoft SQL Server Deep Dive | AWS re:Invent 2014

Let’s Make Your CFO Happy; A Practical Guide for Kafka Cost Reduction with El...

(ARC311) Extreme Availability for Mission-Critical Applications | AWS re:Inve...

Aws meetup (sep 2015) exprimir cada centavo

Penny Pinching at Scale

Save Money by Uncovering Kafka’s Hidden Cloud Costs

AWS Summit Tel Aviv - Startup Track - Data Analytics & Big Data

Andrii Dembitskyi "Events in our applications Event bus and distributed systems"

AWS Cloud Kata | Bangkok - Getting to Profitability

Comparing Cloud VM Types and Prices: AWS vs Azure vs Google vs IBM

Cloud Price Comparison - AWS vs Azure vs Google

AWS Public Sector Symposium 2014 Canberra | Managing Seasonal Workloads on AWS

Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBM

Fraud Detection with Amazon Machine Learning on AWS

More from Amazon Web Services

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

Amazon Web Services

Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS. In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.

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

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.

Esegui pod serverless con Amazon EKS e AWS Fargate

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

Costruire Applicazioni Moderne con AWS

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.

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

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!

Open banking as a service

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

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

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.

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

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.

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

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.

Computer Vision con AWS

Amazon Web Services

Database Oracle e VMware Cloud on AWS i miti da sfatare

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.

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

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.

API moderne real-time per applicazioni mobili e web

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.

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

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.

Tools for building your MVP on AWSAmazon Web Services

How to Build a Winning Pitch DeckAmazon Web Services

Building a web application without serversAmazon Web Services

Fundraising EssentialsAmazon Web Services

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services

Introduzione a Amazon Elastic Container Service

Amazon Web Services

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.

More from Amazon Web Services (20)

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

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

Esegui pod serverless con Amazon EKS e AWS Fargate

Costruire Applicazioni Moderne con AWS

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

Open banking as a service

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

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

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Computer Vision con AWS

Database Oracle e VMware Cloud on AWS i miti da sfatare

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

API moderne real-time per applicazioni mobili e web

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

Tools for building your MVP on AWS

How to Build a Winning Pitch Deck

Building a web application without servers

Fundraising Essentials

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Introduzione a Amazon Elastic Container Service

Recently uploaded

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

91mobiles

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Tobias Schneck

As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

Accelerate your Kubernetes clusters with Varnish Caching

Thijs Feryn

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ThousandEyes

Bits & Pixels using AI for Good.........

Alison B. Lowndes

The Future of Platform Engineering

Jemma Hussein Allen

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

FIDO Alliance

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Inflectra

In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

James Anderson

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

Knowledge engineering: from people to machines and back

Elena Simperl

DevOps and Testing slides at DASA Connect

Kari Kakkonen

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

Elevating Tactical DDD Patterns Through Object Calisthenics

Dorra BARTAGUIZ

After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Product School

How world-class product teams are winning in the AI era by CEO and Founder, P...

Product School

GraphRAG is All You need? LLM & Knowledge Graph

Guy Korland

Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/

Recently uploaded (20)

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Connector Corner: Automate dynamic content and events by pushing a button

Accelerate your Kubernetes clusters with Varnish Caching

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Bits & Pixels using AI for Good.........

The Future of Platform Engineering

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

When stars align: studies in data quality, knowledge graphs, and machine lear...

Essentials of Automations: Optimizing FME Workflows with Parameters

Knowledge engineering: from people to machines and back

DevOps and Testing slides at DASA Connect

UiPath Test Automation using UiPath Test Suite series, part 3

Elevating Tactical DDD Patterns Through Object Calisthenics

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

How world-class product teams are winning in the AI era by CEO and Founder, P...

GraphRAG is All You need? LLM & Knowledge Graph

(ENT302) Cost Optimization on AWS | AWS re:Invent 2014

1. November 13, 2014 | Las Vegas, NV Tom Johnston, Amazon Web Services

10.

11.

12.

13.

14.

15.

16.

17.

18.

19.

20.

21.

22.

23.

24. Amazon SQS Queue Auto Scaling

25. Amazon SQS

26. Auto Scaling

27.

28.

29.

30.

31.

32. CloudWatch

33.

34.

35.

36. Instance vCPU Mem(GiB) Monthly price(3-yr heavy RI ) Idealuse case c3.2xlarge 8 15 $121.22 Best price-computeperformance m3.2xlarge 8 30 $161.15 Balanced r3.2xlarge 8 61 $189.66 Lowest cost per GiBRAM r3.xlarge 4 30.5 $94.83 Lowestcost per GiBRAM

37.

38. http://amzn.to/1sl2bKa t2

39. Instance vCPU Mem(GiB) Monthly price(3-yr heavy RI ) Idealuse case m3.medium 1 3.75 $20.16 Always available,balanced c3.large 2 3.75 $29.95 Alwaysavailable, compute t2.medium 2 4 $17.87 Burstyworkloads

40. t2 CloudWatch

41.

42.

43.

44.

45.

46.

47.

48. Amazon Glacier

49.

50.

51.

52.

53.

54.

55.

56.

57.

58.

59.

60.

61.

62.

63.

64.

65. CloudFront DynamoDB Amazon RDS ElastiCache Amazon Redshift Amazon EMR Amazon Kinesis Amazon WorkSpaces

66.

67. https://calculator.s3.amazonaws.com/index.html

68.

69. http://amzn.to/1swNwLV

70. http://amzn.to/1zHE2Fj

71. CloudWatch

72.

73.

74.

75.

76.

77.

78. http://bit.ly/awsevals

79.

80.

81.

82.

83. http://bit.ly/awsevals

(ENT302) Cost Optimization on AWS | AWS re:Invent 2014

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (20)

Similar to (ENT302) Cost Optimization on AWS | AWS re:Invent 2014

Similar to (ENT302) Cost Optimization on AWS | AWS re:Invent 2014 (20)

More from Amazon Web Services

More from Amazon Web Services (20)

Recently uploaded

Recently uploaded (20)

(ENT302) Cost Optimization on AWS | AWS re:Invent 2014