Don’t have time to watch the 3 hour replay? Pay per hour for the compute, and separately pay for only the storage you use. This will enable customers to run latency sensitive portions of applications in Wavelength zones, and seamlessly connect to the rest of their applications and the full breadth of services in AWS. Finra is moving their database(s) to Aurora, but the number 1 customer request for Aurora is: can’t you make it Postgres compatible? We Bhusri talks for a few minutes about the origins of Workday and Workday’s core values (take care of employees and take care of customers). The C5 family will double the number of vCPUs, performance, memory, and overall throughput.

Head of AWS Worldwide Channels and Alliances Doug Yeum takes the stage for this year’s Global Partner Summit keynote, highlighting the fantastic work … In the R family, Jassy introduces the R4. Jassy takes over again following the Amazon AI demo, and moves on to talk about the third “superpower” that AWS gives customers, which is “immortality.” How do companies live forever? We like privacy too – we absolutely will not share your email address. Director and Co-Founder of Logicata, an AWS Managed Services Provider. 6 key Announcements from the AWS re:Invent Global Partner Summit, AWS Service Level Agreement – What you need to know. R4 instances have twice as much memory, faster memory, larger L3 cache, and twice as many vCPUs. Built based on customer feedback, Jassy announces Snowball Edge. A preview of F1 instances is available today; general availability will come later (no estimated date provided). AWS Fargate is the only compute engine that allows you to run containers without having to manage servers. Aurora is completely MySQL-compatible, offers up to 5x the performance of MySQL, and is one of AWS’ fastest-growing services. There’s a cascade of AWS content produced daily. In Q1, the C5 instance family will be available.

Join in the fun at our Jams and GameDays this year at re:Invent. Kendra can be set up through AWS console. Doug Yeum | Wednesday 4 December. Veronese talks about changes in the energy industry, and how Enel is embracing global change. As a result of their migration, provisioning time was reduced; power savings resulted; and Enel saw significant storage savings. Privacy • Site Terms • Cookie Preferences • © 2020, Amazon Web Services, Inc. or its affiliates. The crowd gathered for the keynote is pretty immense, despite the availability of numerous overflow locations spread across the multiple re:Invent venues. Veronese turns the stage back over to Jassy. In particular, Jassy calls out Amazon Aurora. To discuss their journey, Jassy introduces Steve Randich, SVP and CIO of Finra. Now, I’m not writing this post to make Jassy or AWS look like fools in any way. Snowball Edge has increased capacity versus Snowball (100TB versus 50TB), integrated device encryption, clustering capabilities (sharding data across multiple devices), an S3 endpoint (allowing you to sync data with S3 while you’re loading it), and Greengrass inside (the equivalent of an m4.4xlarge inside). Jassy introduces AWS Snowmobile. The F1 instances are powered by FPGAs (field-programmable gate arrays). AWS Identity and Access Management Best Practises, How to Change or Upgrade an EC2 Instance Type. Lex is a natural language understanding and speech recognition service. AWS is, according to some statistics provided by Jassy, the fastest-growing enterprise IT technology company. Wood demonstrates both a voice-driven interface (similar to how you might interact with Alexa today) and a text- and image-driven interface (similar to how might interact via Slack or instant messaging). The crowd gathered for the keynote is pretty immense, despite the availability of numerous overflow locations spread across the multiple re:Invent venues. Gergets talks about their significant investment in technology to satisfy customers’ changing demands and expectations. Hear from cloud leaders and be the first to learn what’s new.

Preview our sponsors today. Amazon Lex (it’s what’s inside Alexa). It can be activated with a single click in Amazon Connect. Snowmobile is a 100PB (petabyte) container, affixed to a 45’ long container (no, not a Docker container!). Redshift RA3 Instances with Managed Storage enable Redshift users to separate Storage from Compute, to enable separate scaling. With the idea of hardware acceleration in mind, Jassy introduces an entirely new instance family, the F1 family. Amazon Managed Cassandra Service enables customers to operate Cassandra at scale. In support of this point, Jassy talks about AWS’ extensive regions, availability zones, and the plethora of application services that AWS offers.

Not only is the business growing rapidly, but the platform is growing rapidly as well; Jassy indicates that AWS is on pace to launch about 1,000 new features in 2016 (up from 722 last year and 516 in 2014). This decision, according to Clarke, comes after a lengthy and thorough evaluation of the available options. Between the Dreamforce announcements and the ones made at re:Invent, it’s clear that evolving Connect is a top priority for AWS. Here are the key product launch announcements. Today, AWS CEO Andy Jassy launched the annual AWS re:Invent conference with his 3 hour long keynote addressing the 65,000 attendees. Veronese indicates that Enel is committed to a 100% cloud operating model by 2018, and is embracing on an IoT initiative with AWS. YouTube offers a transcript as well, making it easy to grab the quotes. Learn More. Tags: AWS, AWS re:Invent, Events, Redis Enterprise.

He walks through the spectrum of compute offerings—a total of nine instance families. Does all of the hard work of transforming, reformatting and building integrated queries, AQUA brings the compute to the storage layer, High Speed Cache on top of S3 can scale out to process data in parallel across many nodes, AWS-designed analytics processors accelerate data compression and encryption, 100% compatible with current version of Redshift, Reduces costs by 90% to store the same amount of data, Apache Cassandra-compatible (release 3.11), Single digit millisecond performance at any scale, Choose Provisioned or on demand capacity and automatically scale, Use same Cassandra drivers and tools for easy migration, Integrated with Amazon Cloudwatch, Amazon VPC and AWS Key Management, Web based IDE for complete machine learning workflows, Allows developers to build, train, tune and deploy their models from a single interface, Organize, search and access notebook, datasets, code and settings, Create project folders to organize all of your machine learning projects, Share projects, folders and their contents, Discuss notebooks and their results collaboratively, A single place for all machine learning tools & results, Open notebooks with one click, in seconds, Increase or decrease compute resources without interruption, Automatically copies and transfers Notebook content to new instances, Captures input parameters, configuration and results automatically, Saved by SageMaker Studio as an experiment – projects can contain many experiments, Browse and review active experiments – progress is updated in real time, Search for previous experiments by name, parameters, datasets, algorithm, or results, Compare and visualize experiment results in SageMaker Studio, Automatically collects and monitors key training metrics from popular machine learning frameworks, Provides real-time metrics of model training performance, Feature Prioritization for better interpretation of machine learning models, Debugging results can be viewed through Notebooks in SageMaker Studio, Detect concept drift in deployed models automatically, Alert developers when any drift is detected, Create baseline statistics about data during training, Compare data used to make predictions against a baseline, Training data in CSV table, upload in SageMaker Studio or via S3, Automatically transforms data – dates, days, addresses, prices, latitude/longitude, Selects best algorithm – classification and regression algorithms, Inspect and compare models by accuracy, latency, size – notebooks created automatically, Choose model and deploy with a single click, Automatically transcribe and analyze customer calls, and transcribe previously recorded calls, Get full text transcription with speaker detection – 2 x more accurate than existing solutions, Analyze sentiment, long periods of silence, and times when customer and agent are talking over one another, Search all transcriptions for keywords, phrases, and analysis criteria.