Customers migrating workloads to AWS have a variety of tools to monitor their infrastructure, generating large volumes of alarms from services such as Amazon CloudWatch, AWS Config, and other third party tools. Without careful curation, events and tickets can exponentially multiply and overwhelm ITSM systems and the teams operating them, obscuring real problems and wasting time. Using advanced Machine Learning techniques, customers can reduce noise from these events and tickets and increase their service quality. In this presentation, we explore challengs of adopting AIOps, and provide examples of how AIOPs can be used to reduce Mean Time To Restore and improve customer outcomes
Survive the fog of system development! Developers' lives have gotten more complex in the last decade. There is too much to learn and understand now, and you need a co-pilot. Let AIOps be that co-pilot.
In this webinar, we'll share use cases and discuss:
What is AIOps?
Why AI and ML are well-suited for Ops and DevOps
A guide for assessing where to automate
AIOps is becoming imperative to the management of today’s complex IT systems and their ability to support changing business conditions. This slide explains the role that AIOps can and will play in the enterprise of the future, how the scope of AIOps platforms will expand, and what new functionality may be deployed.
Watch the webinar here. https://www.moogsoft.com/resources/aiops/webinar/aiops-the-next-five-years
Amidst an industry cloud of confusion about what “AIOps” is and what it can do, these slides--based on the webinar from EMA research--delineates a clear path to victory for business and IT stakeholders seeking to use machine learning to optimize the performance of critical business services.
How to Move from Monitoring to Observability, On-Premises and in a Multi-Clou...Splunk
With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren’t equipped to provide. Observability enables you to inspect and understand your IT stack on premises and in the cloud(s); It’s no longer about whether your system works (monitoring), but being able to task why it is not working? (Observability). This presentation will outline key steps to take to move from monitoring to observability.
As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Enterprise focusing on the modernization of data analytics, the AI ladder and AI life cycle and infrastructure architecture considerations. We will conclude by viewing the benefits and innovation of running your modern AI and Data Analytics applications such as SAS Viya and SAP HANA on IBM Power Systems and IBM Storage in hybrid cloud environments.
How deeply can you understand what is happening inside your application? In modern, microservices-based applications, it’s critical to have end-to-end observability of each component and the communications between them in order to quickly identify and debug issues. In this session, we show how to have the necessary instrumentation and how to use the data you collect to have a better grasp of your production environment. On AWS, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services. With AWS X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. AWS App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.
Survive the fog of system development! Developers' lives have gotten more complex in the last decade. There is too much to learn and understand now, and you need a co-pilot. Let AIOps be that co-pilot.
In this webinar, we'll share use cases and discuss:
What is AIOps?
Why AI and ML are well-suited for Ops and DevOps
A guide for assessing where to automate
AIOps is becoming imperative to the management of today’s complex IT systems and their ability to support changing business conditions. This slide explains the role that AIOps can and will play in the enterprise of the future, how the scope of AIOps platforms will expand, and what new functionality may be deployed.
Watch the webinar here. https://www.moogsoft.com/resources/aiops/webinar/aiops-the-next-five-years
Amidst an industry cloud of confusion about what “AIOps” is and what it can do, these slides--based on the webinar from EMA research--delineates a clear path to victory for business and IT stakeholders seeking to use machine learning to optimize the performance of critical business services.
How to Move from Monitoring to Observability, On-Premises and in a Multi-Clou...Splunk
With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren’t equipped to provide. Observability enables you to inspect and understand your IT stack on premises and in the cloud(s); It’s no longer about whether your system works (monitoring), but being able to task why it is not working? (Observability). This presentation will outline key steps to take to move from monitoring to observability.
As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Enterprise focusing on the modernization of data analytics, the AI ladder and AI life cycle and infrastructure architecture considerations. We will conclude by viewing the benefits and innovation of running your modern AI and Data Analytics applications such as SAS Viya and SAP HANA on IBM Power Systems and IBM Storage in hybrid cloud environments.
How deeply can you understand what is happening inside your application? In modern, microservices-based applications, it’s critical to have end-to-end observability of each component and the communications between them in order to quickly identify and debug issues. In this session, we show how to have the necessary instrumentation and how to use the data you collect to have a better grasp of your production environment. On AWS, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services. With AWS X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. AWS App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
On the Application of AI for Failure Management: Problems, Solutions and Algo...Jorge Cardoso
Artificial Intelligence for IT Operations (AIOps) is a class of software which targets the automation of operational tasks through machine learning technologies. ML algorithms are typically used to support tasks such as anomaly detection, root-causes analysis, failure prevention, failure prediction, and system remediation. AIOps is gaining an increasing interest from the industry due to the exponential growth of IT operations and the complexity of new technology. Modern applications are assembled from hundreds of dependent microservices distributed across many cloud platforms, leading to extremely complex software systems. Studies show that cloud environments are now too complex to be managed solely by humans. This talk discusses various AIOps problems we have addressed over the years and gives a sketch of the solutions and algorithms we have implemented. Interesting problems include hypervisor anomaly detection, root-cause analysis of software service failures using application logs, multi-modal anomaly detection, root-cause analysis using distributed traces, and verification of virtual private cloud networks.
The vital role of AIOps in overcoming IT operational challenges - DEM07-SR - ...Amazon Web Services
Digital transformation has sparked an IT service availability crisis in the enterprise, driven by unprecedented levels of infrastructure scale and complexity, rendering the traditional, rules-driven approach to incident management obsolete. Artificial intelligence for IT Operations, or AIOps, is a new direction for assuring service availability via operational data. In this talk, we show how AIOps gives enterprises a critical advantage and paves the way for the future of service assurance. We examine how adopting AIOps yields greater business agility while improving customer service, lowering operation costs, and boosting IT Ops teams’ productivity. This presentation is brought to you by AWS partner, Moogsoft Inc.
Any modern business with digital assets requires a robust site reliability framework to secure it’s digital domains and ensure uninterrupted service delivery.
This is essential to protect revenue streams and brand value as well as to shield your website against cyber threats.
Future Proofing Your IT Operating Model for DigitalDavid Favelle
Having worked with Operating Model for over 10 years, Dave has new adopted DevOps, IT4IT and Continuous Delivery alongside traditional frameworks. The concept of the value stream is central to the thinking. The presentation was delivered as a Keynote at the Open Group in Amsterdam October 2017 -https://www.youtube.com/watch?v=Y7yH1JJKvqc&t=1969s
Note that Dave and the ValueFlow team deliver Operating Model on the ServiceNow platform.
AWS for Manufacturing: Digital Transformation throughout the Value Chain (MFG...Amazon Web Services
The digital transformation of the manufacturing industry is underway in all aspects of the value chain, and the cloud is at the center. In this session, learn how global manufacturing companies are realizing the business value of AWS IoT services, HPC, machine learning, data lakes, and other AWS services in design, engineering, and manufacturing to service operations. Aerospace pioneer, Airbus, describes how its Skywise serverless platform uses AWS Lambda, Amazon DynamoDB, Amazon Elasticsearch Service, and other services to provide airlines with predictive maintenance solutions for its fleets. Georgia-Pacific, a leading manufacturer of paper and wood products, discusses the use of an operation’s data lake to predict asset reliability events and optimize manufacturing processes across 150 locations. Finally, global bearing manufacturer, SKF, demonstrates how it uses AWS IoT services to connect smart products with smart factories, providing real-time insights to its global customers worldwide to optimize machine health and reduce costs.
An overview of The Open Group IT4IT Reference Architecture. It is a vendor and product-agnostic value chain-based operating model for managing the business of IT. While providing guidance on the design, procurement and implementation of the functionality needed to run IT, it also enables the systematic tracking of the state of IT services across the service life-cycle using four value streams - Strategy to Portfolio, Request to Fulfill, Requirement to Deploy, and Detect to Correct.
Download presentation from http://opengroup.co.za/presentations
AIOps: Anomalies Detection of Distributed TracesJorge Cardoso
Introduction to the field of AIOps. large-scale monitoring, and observability. Provides an example illustrating how Deep Learning can be used to analyze distributed traces to reveal exactly which component is causing a problem in microservice applications.
Presentation given at the National University of Ireland, Galway (NUI Galway)
on 2019.08.20.
Thanks to Prof. John Breslin
Making the Case for Integration Platform as a Service (iPaaS)Axway
Running your business likely involves a triple-digit number of applications, a double-digit number of unique data sources, and a complex mix of deployment models.
An iPaaS Integrated platform as a Service is designed to address these challenges, by providing the technical means to manage APIs, orchestrate services, and process events. Research shows that cloud-based solutions – such as an integration platform-as-a-service – are currently favored over on-premises solutions, by a factor of nearly 3 to 1.
Aberdeen research fellow Derek Brink is revealing new findings on how iPaaS is changing data integration management for some of the most successful companies.
Cloud First does not mean you should jump into cloud without a well-constructed plan. The most successful organizations build the foundational capabilities first and create a roadmap that aligns people, technology, platforms, security, governance and culture. Many CIO’s want the benefits associated with cloud technologies but don’t necessarily know where to start and what questions to ask. This session will provide real world examples of the transformation process, challenges and successes that organizations have experienced in their cloud journey. We will define a low risk strategy and approach to achieve success in the cloud quickly. We will describe the sequencing requirements, milestones, and foundational services that need to be in place on Day 1. And finally, we will reveal the most critical and often overlooked component of your transformation strategy. Sponsored by Smartronix.
Accelerate your Cloud Migration Journey (Level 100)
Many enterprises have realized the benefits of migrating services to the cloud and are considering the next stage in their journey. In this webinar we will take you through the principles of cloud migration including the business benefits, cloud economics, methodologies and tools to accelerate your journey. We will also discuss the key enablers for cloud adoption based on real examples.
This is a Level 100 webinar
Speakers: Manav Prabhakar, Practice Manager, AWS Professional Services
Jon Austin, Principal Solutions Architect, Amazon Web Services
Parijat Mishra, Solutions Architect Manager, Amazon Web Services
Altnix offers IT infrastructure managed services and remote infrastructure management services (RIMS) for Global customers. Streamline your IT infrastructure management and operations using tools, processes and 24x7 support from Altnix.
Intuit Data Ecosystem supports unique consumer and small business assets at scale, and handle petabytes of customer data. We have 8M active small business customers and 16M paid workers that uses Intuit Quick Books and Quick Books Payroll Products. Huge customer base and large volumes of data always challenges the data teams in terms of freshness of data, correctness of data etc. This presentation is intended to cover such problems we faced at Intuit along with the data observability model we follow to cure, detect and prevent data Issues. We would like to provide deep insights into the implementations and the impact of some of the great work done by Intuit in this direction.
Introdution to Dataops and AIOps (or MLOps)Adrien Blind
This presentation introduces the audience to the DataOps and AIOps practices. It deals with organizational & tech aspects, and provide hints to start you data journey.
AWS Summit Singapore 2019 | Realising Business Value with AWS Analytics ServicesAWS Summits
Speaker: Yu Hua Lim, Solutions Architect, ASEAN, AWS
Customer Speaker: Vasanth Kumar, Head of Software Engineering, NTUC Link Pte Ltd
Hear how local enterprise customers deliver business impact with AWS Analytics and Big Data services. We will cover data monetisation, creation of net new revenue streams, and agility in experimentation.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
On the Application of AI for Failure Management: Problems, Solutions and Algo...Jorge Cardoso
Artificial Intelligence for IT Operations (AIOps) is a class of software which targets the automation of operational tasks through machine learning technologies. ML algorithms are typically used to support tasks such as anomaly detection, root-causes analysis, failure prevention, failure prediction, and system remediation. AIOps is gaining an increasing interest from the industry due to the exponential growth of IT operations and the complexity of new technology. Modern applications are assembled from hundreds of dependent microservices distributed across many cloud platforms, leading to extremely complex software systems. Studies show that cloud environments are now too complex to be managed solely by humans. This talk discusses various AIOps problems we have addressed over the years and gives a sketch of the solutions and algorithms we have implemented. Interesting problems include hypervisor anomaly detection, root-cause analysis of software service failures using application logs, multi-modal anomaly detection, root-cause analysis using distributed traces, and verification of virtual private cloud networks.
The vital role of AIOps in overcoming IT operational challenges - DEM07-SR - ...Amazon Web Services
Digital transformation has sparked an IT service availability crisis in the enterprise, driven by unprecedented levels of infrastructure scale and complexity, rendering the traditional, rules-driven approach to incident management obsolete. Artificial intelligence for IT Operations, or AIOps, is a new direction for assuring service availability via operational data. In this talk, we show how AIOps gives enterprises a critical advantage and paves the way for the future of service assurance. We examine how adopting AIOps yields greater business agility while improving customer service, lowering operation costs, and boosting IT Ops teams’ productivity. This presentation is brought to you by AWS partner, Moogsoft Inc.
Any modern business with digital assets requires a robust site reliability framework to secure it’s digital domains and ensure uninterrupted service delivery.
This is essential to protect revenue streams and brand value as well as to shield your website against cyber threats.
Future Proofing Your IT Operating Model for DigitalDavid Favelle
Having worked with Operating Model for over 10 years, Dave has new adopted DevOps, IT4IT and Continuous Delivery alongside traditional frameworks. The concept of the value stream is central to the thinking. The presentation was delivered as a Keynote at the Open Group in Amsterdam October 2017 -https://www.youtube.com/watch?v=Y7yH1JJKvqc&t=1969s
Note that Dave and the ValueFlow team deliver Operating Model on the ServiceNow platform.
AWS for Manufacturing: Digital Transformation throughout the Value Chain (MFG...Amazon Web Services
The digital transformation of the manufacturing industry is underway in all aspects of the value chain, and the cloud is at the center. In this session, learn how global manufacturing companies are realizing the business value of AWS IoT services, HPC, machine learning, data lakes, and other AWS services in design, engineering, and manufacturing to service operations. Aerospace pioneer, Airbus, describes how its Skywise serverless platform uses AWS Lambda, Amazon DynamoDB, Amazon Elasticsearch Service, and other services to provide airlines with predictive maintenance solutions for its fleets. Georgia-Pacific, a leading manufacturer of paper and wood products, discusses the use of an operation’s data lake to predict asset reliability events and optimize manufacturing processes across 150 locations. Finally, global bearing manufacturer, SKF, demonstrates how it uses AWS IoT services to connect smart products with smart factories, providing real-time insights to its global customers worldwide to optimize machine health and reduce costs.
An overview of The Open Group IT4IT Reference Architecture. It is a vendor and product-agnostic value chain-based operating model for managing the business of IT. While providing guidance on the design, procurement and implementation of the functionality needed to run IT, it also enables the systematic tracking of the state of IT services across the service life-cycle using four value streams - Strategy to Portfolio, Request to Fulfill, Requirement to Deploy, and Detect to Correct.
Download presentation from http://opengroup.co.za/presentations
AIOps: Anomalies Detection of Distributed TracesJorge Cardoso
Introduction to the field of AIOps. large-scale monitoring, and observability. Provides an example illustrating how Deep Learning can be used to analyze distributed traces to reveal exactly which component is causing a problem in microservice applications.
Presentation given at the National University of Ireland, Galway (NUI Galway)
on 2019.08.20.
Thanks to Prof. John Breslin
Making the Case for Integration Platform as a Service (iPaaS)Axway
Running your business likely involves a triple-digit number of applications, a double-digit number of unique data sources, and a complex mix of deployment models.
An iPaaS Integrated platform as a Service is designed to address these challenges, by providing the technical means to manage APIs, orchestrate services, and process events. Research shows that cloud-based solutions – such as an integration platform-as-a-service – are currently favored over on-premises solutions, by a factor of nearly 3 to 1.
Aberdeen research fellow Derek Brink is revealing new findings on how iPaaS is changing data integration management for some of the most successful companies.
Cloud First does not mean you should jump into cloud without a well-constructed plan. The most successful organizations build the foundational capabilities first and create a roadmap that aligns people, technology, platforms, security, governance and culture. Many CIO’s want the benefits associated with cloud technologies but don’t necessarily know where to start and what questions to ask. This session will provide real world examples of the transformation process, challenges and successes that organizations have experienced in their cloud journey. We will define a low risk strategy and approach to achieve success in the cloud quickly. We will describe the sequencing requirements, milestones, and foundational services that need to be in place on Day 1. And finally, we will reveal the most critical and often overlooked component of your transformation strategy. Sponsored by Smartronix.
Accelerate your Cloud Migration Journey (Level 100)
Many enterprises have realized the benefits of migrating services to the cloud and are considering the next stage in their journey. In this webinar we will take you through the principles of cloud migration including the business benefits, cloud economics, methodologies and tools to accelerate your journey. We will also discuss the key enablers for cloud adoption based on real examples.
This is a Level 100 webinar
Speakers: Manav Prabhakar, Practice Manager, AWS Professional Services
Jon Austin, Principal Solutions Architect, Amazon Web Services
Parijat Mishra, Solutions Architect Manager, Amazon Web Services
Altnix offers IT infrastructure managed services and remote infrastructure management services (RIMS) for Global customers. Streamline your IT infrastructure management and operations using tools, processes and 24x7 support from Altnix.
Intuit Data Ecosystem supports unique consumer and small business assets at scale, and handle petabytes of customer data. We have 8M active small business customers and 16M paid workers that uses Intuit Quick Books and Quick Books Payroll Products. Huge customer base and large volumes of data always challenges the data teams in terms of freshness of data, correctness of data etc. This presentation is intended to cover such problems we faced at Intuit along with the data observability model we follow to cure, detect and prevent data Issues. We would like to provide deep insights into the implementations and the impact of some of the great work done by Intuit in this direction.
Introdution to Dataops and AIOps (or MLOps)Adrien Blind
This presentation introduces the audience to the DataOps and AIOps practices. It deals with organizational & tech aspects, and provide hints to start you data journey.
AWS Summit Singapore 2019 | Realising Business Value with AWS Analytics ServicesAWS Summits
Speaker: Yu Hua Lim, Solutions Architect, ASEAN, AWS
Customer Speaker: Vasanth Kumar, Head of Software Engineering, NTUC Link Pte Ltd
Hear how local enterprise customers deliver business impact with AWS Analytics and Big Data services. We will cover data monetisation, creation of net new revenue streams, and agility in experimentation.
Cloud Operating Models for Accelerated Cloud Transformation - AWS Summit SydneyAmazon Web Services
In this session you will learn about how the adoption of a Cloud Operating Model can accelerate your cloud transformation. You will learn about some of the effective Cloud Operating models (centralised, decentralised and distributed), how they affect organisational structures, and the role they play in digital transformation. Learn the role training plays in your accelerated transformation. Learn how to build and bootstrap a Cloud Center of Excellence (CCOE) and how they evolve as you transform your business in the adoption of cloud.
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
Starting your cloud journey - AWSomeDay IsraelBoaz Ziniman
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
AIOps: Steps Towards Autonomous Operations (DEV301-R1) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to architect a predictive and preventative remediation solution for your applications and infrastructure resources. We show you how to collect performance and operational intelligence, understand and predict patterns using AI & ML, and fix issues. We show you how to do all this by using AWS native solutions: Amazon SageMaker and Amazon CloudWatch.
AIOps - Steps Towards Autonomous Operations - AWS Summit Sydney 2019Amazon Web Services
Automation has reaped efficiencies in business and IT operations and extending it with predictive maintenance will further improve reliability. In this session, learn how to architect a predictive and preventative remediation solution for your applications and infrastructure resources. We show you how to collect performance and operational intelligence, recognise and predict patterns using AI and machine learning, and fix issues. We show you how to achieve it using AWS native solutions, Amazon SageMaker and Amazon CloudWatch.
Take action on your security & compliance alerts with AWS Security Hub - SEC2...Amazon Web Services
In this session, learn about AWS Security Hub and how it gives you a comprehensive view of your high-priority security alerts and compliance status across AWS accounts. See how Security Hub aggregates, prioritizes, and helps you take action on your alerts from multiple AWS services, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie, as well as from AWS Partner solutions.
Security issues in your environment need to be identified and corrected faster than ever. AWS makes this easier with increased visibility and automated remediation capabilities. Australia Post will show you how they built an effective automated remediation pipeline that took the potential for human error out of the equation.
Presenters: Michael Stringer, Solutions Architect, AWS; Jason Gorringe, Manager Cloud Services, Australia Post; Ahmed Al-Anim, Cloud Security Specialist, Australia Post.
When it comes to building our own services, our engineering groups have strong opinions, and they express them in the technologies they pick: Are microservices always the way to go? Should we choose serverless, containers, or serverless containers? Is relational over? Is Java over? Learn about our experience in building AWS services and working with customers on their cloud-native apps.
Starting your Cloud Transformation Journey - Tel Aviv Summit 2018Amazon Web Services
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
Starting your Cloud Transformation Journey - Tel Aviv Summit 2018Boaz Ziniman
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
Artificial intelligence in actions: delivering a new experience to Formula 1 ...GoDataDriven
At GoDataFest 2019, Guy Kfir presented how AI delivers a new experience to Formula 1 fans across the world. AWS fuels the analytics through machine learning. Did you know a Formula 1 race car contains 120 sensors and generated 3 GB of data every race at 1,500 data points per second? AWS developed several applications, including overtake possibility, pitstop advantage. How important is it for your company to invest in Machine Learning and AI? There are three scenario's for AI/ML success: Automation, Enrichment and Invention. So, what are you waiting for: create the loop, advance your data strategy and organize for succes. To get started identify AI/ML use cases, educate yourself, start with AI services and move to Amazon Sagemaker, engage with AWS, consider the partner eco system (like GoDataDriven or Binx).
Threat detection and mitigation at AWS - SEC201 - Atlanta AWS SummitAmazon Web Services
In this session, learn how to address threat detection and remediation in the AWS Cloud. We summarize the challenges of traditional threat detection efforts and explain how AWS helps you address them in a cloud environment. We also provide an overview of key AWS services that detect and remediate threats, such as Amazon GuardDuty. Be sure to also check out the corresponding threat detection chalk talk.
The Zen of governance - Establish guardrails and empower builders - SVC201 - ...Amazon Web Services
IT organizations often see governance control and innovation as competing priorities. Compliance-minded individuals may view rapid innovation as disruptive to the security, health, and stability of their organizations. Innovation-minded individuals may view governance control as inhibiting growth. With AWS, you don’t have to choose between governance control and growth—you can have both. In this session, we provide an overview of the common challenges in this area and share how to use AWS services to solve them. We explain how to establish guardrails to improve security and compliance while empowering builders to speed innovation.
Digital transformation of the manufacturing industry is underway in all aspects of the value chain, and the cloud is at the center. In this session, we discuss how global manufacturing companies are realizing the business value of the cloud. We look at how offerings and tools like AWS Internet-of-Things (IoT) services, high-performance computing (HPC), data lakes, and, ultimately, machine learning and artificial intelligence are impacting all process aspects from design and engineering to production and service operations.
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.
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
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!
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 WorkloadsAmazon 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.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
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 NodeJSAmazon 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.
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 sfatareAmazon 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.
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.