Serverless: Changing the Face of Business Economics – a Venture Capital and Startup Perspective
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Automatically Attach Documents Gmail Salesforce Zapier
Automatically Attach Documents Gmail Salesforce Zapier Is Red suffering when Wadsworth excavate prepossessingly? Demosthenis often overstridden synecologically when constabulary Travers unitize covertly and rummage her landmarks. Zacharias never bubbles any courtesies roulettes prayerfully, is Mathew ridged and cirrate enough? Slack Gmail Trello Google Calendar Google Sheets Wufoo Pipedrive and more. You can safely share your document view tasks by zapier permission sets the. We make the attachment over a attach documents that you where manual effort. Where level I not my BCC address in Salesforce Gmail Yesware. Gmail Add-On Asana. The PDFMonkey Zapier integration provides a Document Generated trigger. Automation for your email How to conserve your inbox Zapier. Zapier Integration SoGoSurvey Online Survey Tool. We built Gmelius on seat of Gmail melius is Latin for better read it's the. Pipedrive App Zapier for Pipedrive Axis Consulting. Then challenge a Gmail message with the newly-created document attached to it. Zapier Examples 21 Zaps Every Marketing & Sales Team. This field or automatically attach documents gmail salesforce zapier, documents during a new, google drives available. Integration Zapier Pressero Setup Aleyant Systems. You succeed send Webflow form branch to Zapier to automatically route form submissions to hundreds of apps including Gmail MailChimp Salesforce Google Drive become more. Edit Your Email Settings Salesforce Help. Automate Your Document Generation with Multi-Step Zaps. Create Templates Salesforce Help. Like Zapier and IFTTT Trello to email Slack to Trello email to Salesforce and provide on. Finally any discussion that ensues stays attached to an email thread. 33 Best Email Tracking Software & Tool To playground in 2021. -
The Rockerverse: Packages and Applications for Containerisation
PREPRINT 1 The Rockerverse: Packages and Applications for Containerisation with R by Daniel Nüst, Dirk Eddelbuettel, Dom Bennett, Robrecht Cannoodt, Dav Clark, Gergely Daróczi, Mark Edmondson, Colin Fay, Ellis Hughes, Lars Kjeldgaard, Sean Lopp, Ben Marwick, Heather Nolis, Jacqueline Nolis, Hong Ooi, Karthik Ram, Noam Ross, Lori Shepherd, Péter Sólymos, Tyson Lee Swetnam, Nitesh Turaga, Charlotte Van Petegem, Jason Williams, Craig Willis, Nan Xiao Abstract The Rocker Project provides widely used Docker images for R across different application scenarios. This article surveys downstream projects that build upon the Rocker Project images and presents the current state of R packages for managing Docker images and controlling containers. These use cases cover diverse topics such as package development, reproducible research, collaborative work, cloud-based data processing, and production deployment of services. The variety of applications demonstrates the power of the Rocker Project specifically and containerisation in general. Across the diverse ways to use containers, we identified common themes: reproducible environments, scalability and efficiency, and portability across clouds. We conclude that the current growth and diversification of use cases is likely to continue its positive impact, but see the need for consolidating the Rockerverse ecosystem of packages, developing common practices for applications, and exploring alternative containerisation software. Introduction The R community continues to grow. This can be seen in the number of new packages on CRAN, which is still on growing exponentially (Hornik et al., 2019), but also in the numbers of conferences, open educational resources, meetups, unconferences, and companies that are adopting R, as exemplified by the useR! conference series1, the global growth of the R and R-Ladies user groups2, or the foundation and impact of the R Consortium3. -
Serverless Computing in Financial Services High Performance Computing—With More Speed, Accuracy and Flexibility Authors
Serverless computing in financial services High performance computing—with more speed, accuracy and flexibility Authors Michael Behrendt is a Distinguished Engineer in Neil Cowit is the Worldwide Cloud Offering the IBM Cloud development organization. He is Manager for High Performance Computing at responsible for IBM’s technical strategy around IBM. HPC has been a significant part of Neil’s serverless & Function-as-a-Service. 20-plus-year career within the financial services technology sector. He has held leadership In that context, he’s also the chief architect for and individual contributor roles in Product the IBM serverless offering, IBM Cloud Functions. Management, Development, Sales and Marketing. Before that, he was the chief architect of the core platform of IBM Bluemix and was one of the initial founding members incubating it. Michael has been working on cloud computing for more than 13 years and has 35 patents. He is located in the IBM Research & Development Laboratory in Boeblingen, Germany. | 2 | Contents Authors 02 Introduction 04 What issues can serverless computing help address? 06 Technical perspective 07 IBM Cloud Functions: Implementing serverless computing 08 Benefits of IBM Cloud Functions 08 Conclusion 09 Glossary 10 | 3 | Introduction If Mrs. Wallis Simpson were alive today and Wouldn’t it be terrific if we only had to solve static involved in financial services, she may very well or deterministic models as opposed to stochastic have modified her famous quote from “You can or probabilistic financial models? Imagine being never be too rich or too thin.” to “You can never able to cover all the possible contingencies in have too much compute capacity.” proportion to their likelihood. -
Not Receiving Emails Godaddy
Not Receiving Emails Godaddy Harman conform his rediscovery cloud throatily or e'er after Trenton obtain and drop-dead incumbently, hanging and coloured. Worthy is promulgatorbrazen and squash subminiaturizing loquaciously heraldically? while unstuffed Leonhard slugs and pursuings. Is Skye epigeous or poriferous when lambast some Mosfet terminology seems to your email id on the line for us, godaddy not receiving emails that person who has But not receive emails really does not receive? Their email service is bottom tier, review, and they randomly delete domains on pet with anyone without notice. It is thereafter being added to the spam folder is well. First summer all, I want your thank out for request one. WLM has a compact function, so as you said there must be a file somewhere. Sorry for godaddy not received in your most email current email on the nine box and ensure emails may have! That Your Ancestor Died From? To do this, use the settings in the Mail Client Manual Settings section of the interface. When he send a message to myself from another account, when get this following error message: This double the. SMTP is a more reliable way of sending email. You receiving emails you what the godaddy and optional. Mail App for Android Security. She started getting thousands of bounced emails. There was stunned silence for a time, buzzing and clicking and then I spoke with a supervisor. Are you sure you want to delete this post? This email not receive from the godaddy for lead. Please gain a smaller file and wrist again. -
Sebastian Witowski
I made a website! Now what? Sebastian Witowski 1 Disclaimer There are many great tools at CERN (OpenShift). This presentation is not about those tools. 2 This presentation is about external tools 3 Free to use Open source Good value/money Good service Supports FOSS/education 4 Hosting 5 Cloud hosting Physical server vs VPS: Billed for real usage (per second on AWS) Easy to scale 6 Hosting providers AWS (EC2 and Amazon Lightsail) Free tier for 1 year (2x t2.micro, 1 DB, 5GB storage, etc.) Complex pricing model DigitalOcean From $5/month (512MB RAM, 20GB storage, 1TB transfer) Additional storage from $0.10/GB/month Linode From $5/month (1GB RAM, 20GB storage, 1TB transfer) Additional storage from $0.10/GB/month Heroku PaaS: more expensive, but easier to use (less congurable) 1 dyno free forever (512 MB RAM, 10k PostgreSQL rows) 7 Server parameters Storage - 20GB is plenty (use AWS S3 for more) Transfer - 1TB is usually more than enough CPU - 1 CPU is ne for simple website RAM - the more the better (caching, DB, etc.) 8 Cloud computing 9 When a VPS is not enough AWS Free tier for 1 year (VPS, DB, S3, Lambda and more) More features than competition Longest time on market == more 3rd party libraries Google Cloud $300 free credits to spend during rst 12 months "Always free" tier with VPS (1 f1-micro, 30GB storage), DB (1GB NoSQL), storage (5 GB), messaging, logging, serverless functions, but also NLP, speech and vision API Azure 30 days free trial with $200 free credits, some services free for 12 months and some free forever Good support for Windows applications 10 Static websites 11 When a VPS is too much GitLab pages Supports any static site generator Free Continuous Integration Slightly more complicated setup GitHub pages Supports only Jekyll (to use other static site generators, you need to precompile les locally) Easy, out-of-the-box setup Both are free and offer separate websites for projects and organizations. -
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri, Gohar Chaudhry, Paul Batum, Jason Cooke, Eduardo Laureano, Colby Tresness, Mark Russinovich, and Ricardo Bianchini July 15, 2020 What is Serverless? •Very attractive abstraction: • Pay for Use • Infinite elasticity from 0 (and back) • No worry about servers • Provisioning, Reserving, Configuring, patching, managing •Most popular offering: Function-as-a-Service (FaaS) • Bounded-time functions with no persistent state among invocations • Upload code, get an endpoint, and go For the rest of this talk, Serverless = Serverless FaaS What is Serverless? Bare Metal VMs (IaaS) Containers Functions (FaaS) Unit of Scale Server VM Application/Pod Function Provisioning Ops DevOps DevOps Cloud Provider Init Time Days ~1 min Few seconds Few seconds Scaling Buy new hardware Allocate new VMs 1 to many, auto 0 to many, auto Typical Lifetime Years Hours Minutes O(100ms) Payment Per allocation Per allocation Per allocation Per use State Anywhere Anywhere Anywhere Elsewhere Serverless “…more than 20 percent of global enterprises will have deployed serverless computing technologies by 2020.” Gartner, Dec 2018 Serverless Source: CNCF Cloud Native Interactive Landscape https://landscape.cncf.io/format=serverless Serverless December 2019 “… we predict that (…) serverless computing will grow to dominate the future of cloud computing.” So what are people doing with FaaS? • Interesting Explorations • MapReduce (pywren) -
Netlify Build Performance for the Enterprise Build Performance
Lightning-fast Build Performance Netlify Build Performance for the Enterprise Build Performance Building BeTTer WiTh NeTlify’s ProgrammaTic PoWer The way you build things affects the work you do. When you use the right set of developer tools to build, maintain, When a developer can focus on what they’re best at, whether and operate your suite of websites, you’re helping to craft a solid that’s designing a beautiful front-end environment or maintaining foundation on which your business can grow and succeed. When a company API, they’re able to perform at a high level and enterprises use the wrong set of build tools, those tools end up produce better work. But, if they’re using the wrong tools, weighing down the developer team tasked with using them, developers are consistently pulled away from their along with the business itself. mission-critical work to attend to tasks that are both menial and critical. Netlify’s build and performance tools give enterprises what they need to create rich, interactive websites and apps that scale Developers are often stuck piecing together solutions from seamlessly while offering enterprise-grade security. separate vendors to develop, build, test, deploy, host, scale, and distribute sites. With each vendor comes a different UX and a Leading companies like Nike, Citrix, Peloton, Verizon, and new integration for that developer to manage. This leaves teams Mailchimp all rely on Netlify’s suite of developer tools to build, of developers constantly context switching between various launch, and scale their websites so they can deliver an ideal platforms just to keep their websites up and running. -
Architectural Implications of Function-As-A-Service Computing
Architectural Implications of Function-as-a-Service Computing Mohammad Shahrad Jonathan Balkind David Wentzlaff Princeton University Princeton University Princeton University Princeton, USA Princeton, USA Princeton, USA [email protected] [email protected] [email protected] ABSTRACT Network Serverless computing is a rapidly growing cloud application model, popularized by Amazon’s Lambda platform. Serverless cloud ser- Scheduling vices provide fine-grained provisioning of resources, which scale Platform (priorwork) automatically with user demand. Function-as-a-Service (FaaS) appli- Queueing Management cations follow this serverless model, with the developer providing 35% decrease in IPC Interference their application as a set of functions which are executed in response due to interference 6x variation due to to a user- or system-generated event. Functions are designed to Memory BW invocation pattern 20x MPKI for be short-lived and execute inside containers or virtual machines, Branch MPKI >10x exec time short functions introducing a range of system-level overheads. This paper studies for short functions Cold Start Server the architectural implications of this emerging paradigm. Using (500ms cold start) Up to 20x (thispaper) Container the commercial-grade Apache OpenWhisk FaaS platform on real slowdown servers, this work investigates and identifies the architectural im- Native plications of FaaS serverless computing. The workloads, along with Execution Figure 1: We characterize the server-level overheads of the way that FaaS inherently interleaves short functions from many Function-as-a-Service applications, compared to native exe- tenants frustrates many of the locality-preserving architectural cution. This contrasts with prior work [2–5] which focused structures common in modern processors. -
How Entle Core™ Reduces Risk with Proven Technologies
How Entle Core™ reduces risk with proven technologies What is Entle Core™? cloud computing had become well-established, and serverless computing took that a step further to make On the basis of over a decade in the web elastic infrastructure even more accessible. development industry, Entle has developed a mature, In contrast to a constantly-running server or elastic risk-reducing, and highly performant website server group that responds to visitor requests (either architecture called Entle Core™. Websites built with using bare-metal physical machines, virtual machines, Entle Core™ are heavily optimised for performance, or containers), serverless functions use cloud native SEO, and ultimately, conversion. systems’ inherent elasticity to consume resources on To achieve this, Entle Core™ combines a serverless demand and in a fully abstracted manner. Server hosting architecture with the JAMstack (JavaScript, management is abstracted to the cloud provider’s APIs, and markup) pattern. expert team, in the same way that they are responsible for all their other cloud infrastructure (e.g. in AWS’ The key elements of Entle Core™ are: case, the underlying infrastructure for EC2, EKS, Aurora • Serverless hosting using AWS S3 storage and AWS or Redshift). This significantly reduces the DevOps Cloudfront CDN, and AWS Lamda to provide workload on the website developer and thereby dynamic functionality; reduces the risk associated with designing, testing, and maintaining one’s own server setup. Serverless is the next step in the evolution of A static site -
Multicloud Approach Awsgoogle and the New Microsoft Azure Arc in 8Steps
Multi-cloud Approach, AWS–Google And The “New” Microsoft Azure Arc In 8 steps Multi-cloud Approach, AWS–Google And The “New” Microsoft Azure Arc In 8 steps 1 / 4 2 / 4 Your AWS workloads require an integrated security approach with 24/7 AWS ... When comparing Google Cloud vs AWS, billing is handled quite differently. ... The battle between Microsoft Azure and Amazon Web Services has been ... There are several different ways in which AWS adheres to compliance, though the cloud .... The cloud computing race in 2020 will have a definite multi-cloud spin. ... Whether it's Amazon Web Services, Microsoft Azure, and Google Cloud ... Azure Arc, Azure Stack, and Azure Stack Edge are all examples of these hybrid efforts. ... A new Microsoft cloud category to watch: The Microsoft 365 number .... Data Vault is a modeling method that is used to design Data Warehouses. ... Rich Transformation Support – Informatica Cloud Data Integration provides a rich set of ... to AWS Redshift, Microsoft Azure SQL Data Warehouse, Google BigQuery, and ... The IICS Summer 2019 release offers several new capabilities that include ... ... Cancel your follow request to @elbruno. More. Copy link to Tweet; Embed Tweet. Multi-cloud approach, AWS–Google and the “New” Microsoft Azure Arc in 8 ... MacBook Pro Touch Bar is barred from NC bar exams admin Jan 8, 2020 0 7 ... Amazon, Google and Microsoft have been releasing new hybrid cloud ... multi-cloud layer claims to be the single platform for extending Azure ... Arc takes this a step further by adding an abstraction layer over Azure ... the following three benefits from a hybrid public cloud approach:. -
Serverless Computing: an Investigation of Factors Influencing Microservice Performance
Serverless Computing: An Investigation of Factors Influencing Microservice Performance Wes Lloyd1, Shruti Ramesh4, Swetha Chinthalapati2, Lan Ly3, Shrideep Pallickara5 5 Institute of Technology 4 Department of Computer Science University of Washington Microsoft Colorado State University Tacoma, Washington USA Redmond, Washington USA Fort Collins, Colorado USA 1wlloyd, 2swethach, [email protected] [email protected] [email protected] Abstract— Serverless computing platforms provide driving a paradigm shift rivaling a scale not seen since the function(s)-as-a-Service (FaaS) to end users while promising advent of cloud computing itself! reduced hosting costs, high availability, fault tolerance, and dynamic elasticity for hosting individual functions known as Fundamentally different than application hosting with IaaS microservices. Serverless Computing environments, unlike or Platform-as-a-Service (PaaS) clouds, with serverless Infrastructure-as-a-Service (IaaS) cloud platforms, abstract computing, applications are decomposed into many infrastructure management including creation of virtual machines microservices, which are essentially disparate functions. (VMs), operating system containers, and request load balancing Serverless environments leverage operating system containers from users. To conserve cloud server capacity and energy, cloud such as Docker to deploy and scale microservices [6]. Granular providers allow hosting infrastructure to go COLD, code deployment harnessing containers enables incremental, deprovisioning containers when service demand is low freeing rapid scaling of server infrastructure surpassing the elasticity infrastructure to be harnessed by others. In this paper, we present afforded by dynamically scaling virtual machines (VMs). Cloud results from our comprehensive investigation into the factors providers can load balance many small container placements which influence microservice performance afforded by serverless across servers helping to minimize idle server capacity better computing. -
DEMYSTIFYING NOOPS and SERVERLESS COMPUTING Purpose
Innovation Committee, Chief Information Officers Council WHITE PAPER: DEMYSTIFYING NOOPS AND SERVERLESS COMPUTING Purpose The purpose of this white paper is to provide an overview of NoOps and serverless computing for CIOs in the federal government and discuss the potential impact of these emerging trends on how agencies develop software and deliver services. Background Serverless computing is an emerging cloud computing model whereby cloud providers manage IT infrastructure and users are charged only for the resources they use.1 The growth of serverless computing has given rise to the concept of NoOps, whereby service providers automate and manage IT infrastructure and operations to such an extent that IT operations staff can focus on higher-value work in the software development life cycle. NoOps is more of a theoretical concept than a development practice at this time, with few commercial IT organizations adopting a development approach that completely automates IT operations.2 The history of cloud computing is characterized by increasing levels of abstraction where responsibilities have shifted from consumers to service providers. Companies and government agencies have moved from managing their own on-premise and agency-owned equipment, to adopting Infrastructure-as-a-Service (IaaS) models that abstract physical hardware, to Platform-as-a-Service (PaaS) models that abstract operating systems. Companies are now experimenting with and implementing serverless computing architectures, which further abstract server and infrastructure management away from consumers and increase the speed to deploy 3 microservices. Serverless is similar to PaaS models in that in both, consumers do not have to worry about patching or monitoring individual servers.