Invent global online summit opens with 43 new services and functions From Amazon re

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On December 2, 2020, this year’s Amazon re: invest Global Conference officially opened. Amazon re: invent is the annual event held by Amazon cloud services (AWS), the global leader in cloud computing. It started in 2012 and has become a weathervane in the field of global cloud computing. This year’s conference is the first time that Amazon re: invent has ever held online. It is the first time that developers and users around the world can “get in touch” with AWS executives and technology gurus for the first time. So far, the number of registered participants has reached a record of more than 400000 and is expected to exceed 500000 on Friday.

Cloud service giant speeding up

In the early morning of December 2, AWS CEO Andy Jassy, as in previous years, delivered a three hour keynote speech full of dry goods to elaborate his insight into the trend of industry and customer demand, and released 27 innovative cloud services and functions in the keynote speech (a total of 43 new services and functions were released on the same day).

Andy Jassy started by reviewing the current business situation of AWS. According to Amazon’s financial report, AWS will achieve an annual revenue of $46 billion in the third quarter of 2020, a year-on-year increase of 29%, equivalent to a year-on-year increase of $10 billion. The development of AWS itself shows a trend of accelerating growth. It took 123 months for AWS to achieve its first $10 billion revenue growth; 23 months for the second $10 billion growth; 13 months for the third $10 billion growth; and now, only 12 months for the fourth $10 billion growth.

According to the latest revenue data, AWS, together with Microsoft, Dell, IBM and Cisco, ranks among the top five IT companies in the world. According to the report on global public cloud IAAs and PAAS market share in 2019 released by Gartner in August 2020, the market share of AWS is 45%, exceeding the total of the second, third, fourth and fifth places (34.3%).

In the future, there is still a lot of room for AWS to grow. According to the it key indicator data 2020: industry measures released by Gartner, cloud computing is still in the early stage of development. In the total it expenditure, only 4% of the total it expenditure is on the cloud, while the traditional it expenditure still accounts for 96%.

The rapid development of AWS relies on continuous innovation according to customer needs. AWS has always been known for its rapid innovation in the industry, and is widening the gap in this capability. AWS released more than 80 important services and functions in 2011; nearly 160 in 2012; 280 in 2013; 516 in 2014; 722 in 2015; 1017 in 2016; 1430 in 2017; 1957 in 2018; and 2345 in 2019. At this year’s Re: invent conference, AWS CEO Andy Jassy released 27 innovations through his keynote speech, covering computing, storage, database, data analysis, container, machine learning operation and maintenance, industrial machine learning and other aspects.

Blockbuster: launched Amazon EC2 MAC instance, serving 28 million Apple developers

The first big news of Re: invent is that AWS has released the Amazon EC2 MAC instance. The Amazon EC2 MAC instance is built on a Mac mini computer, enabling customers to run MacOS workloads on demand in the AWS cloud for the first time, extending the flexibility, scalability and cost advantages of AWS to all Apple developers. Developers who develop applications for iPhone, iPad, MAC, apple watch, Apple TV and safari can use EC2 MAC instance to configure and access the Mac OS environment in seconds, dynamically expand capacity according to demand, and benefit from AWS’s pay on demand pricing.

Bob Borchers, vice president of global product marketing at Apple, said, “Apple’s thriving community has 28 million developers who continue to create breakthrough application experiences to meet customers around the world. We are pleased that the release of the EC2 MAC instance provides a new way to access the apple development platform, combining the performance of our world-class hardware with the scalability of AWS. “

Industrial ml: five machine learning services for Industry

AWS has released Amazon monitron, Amazon lookout for equipment, AWS panorama appliance, AWS panorama SDK and Amazon lookout for vision. Together, these five new machine learning services help industrial and manufacturing customers embed intelligent capabilities into their production processes to improve operational efficiency, quality control, information security and workplace safety. Among them:

Amazon monitron provides an end-to-end machine monitoring solution that includes sensors, gateways, and machine learning services to detect abnormal device conditions that may require maintenance.

Amazon lookout for equipment provides customers with device sensors the ability to detect abnormal device behavior and perform predictive maintenance using AWS machine learning model.

AWS panorama appliance helps customers who have installed cameras in industrial facilities to use computer vision to improve quality control and workplace safety.

The AWS panorama software development kit (SDK) enables industrial camera manufacturers to embed computer vision into new cameras.

Amazon lookout for vision uses AWS trained computer vision models on image and video streams to discover anomalies and defects in products or production processes.

Computing domain: Five New Amazon EC2 instance types, two new AWS Posts units, and three new AWS local regions in the United States

AWS announced a number of innovative cloud computing services.

The c6gn instance supported by AWS graviton 2 processor, equipped with the graviton 2 processor designed by AWS, provides 100 Gbps network performance. Compared with the current similar instance based on X86, the performance price ratio is improved by 40%.

The example of graphics optimization g4ad with AMD graphics processor (GPC) provides the best cost performance for cloud graphics intensive applications.

The general-purpose m5zn instance equipped with Intel Xeon’s fastest scalable CPU (CPU) has a full core and frequency rate of up to 5 GHz, and the computing performance of each core is 45% higher than that of the current M5 instance.

D3 / d3en, the next generation storage optimization instance equipped with Intel CPU, can provide local HDD storage with the highest available storage capacity in the cloud based on Intel’s new generation technology.

Amazon EC2 r5b memory optimization instance provides Amazon EBS elastic block storage service with three times the performance of R5 instance, which is the highest performance of block storage on Amazon EC2.

Two smaller AWS outposts units, 1U and 2U servers, allow customers to access AWS in a space constrained local machine room.

The AWS local zone extends to Boston, Houston and Miami, and is planned to be launched in 12 other U.S. cities in 2021.

Four storage innovations reshape storage

AWS announced four storage innovations, bringing more storage performance, resilience and value to customers. These include:

Amazon EBS io2 block express storage volume, the first cloud storage service built for workload running on San, has up to 256000 IOPs, 4000 MB / s throughput and 64 TB single volume capacity;

Amazon EBS GP3 storage volume, the next generation general SSD storage volume of Amazon EBS, enables customers to flexibly configure additional IOPs and throughput without adding additional storage capacity. It can provide up to 4 times the peak throughput, and the price per GB is 20% lower than that of the previous generation storage volume;

The storage type supported by Amazon S3 intelligent layering extends from the existing S3 frequent access and non frequent access to S3 glacier archiving and deep archiving. The cost of using object storage can be reduced by up to 95%;

Amazon S3 replication (multi destination) provides the ability to simultaneously replicate data to multiple S3 buckets in the same AWS region or any number of AWS regions to meet customers’ global content distribution, storage compliance and data sharing requirements

Data analysis: three new functions

AWS has announced three new data analysis functions, which can greatly improve the performance of Amazon redshift data warehouse, make it easier for customers to move and merge data between data stores, and make it easier for end users to use machine learning to obtain more value from business data.

Aqua for Amazon redshift brings computing power to the storage layer through innovative hardware acceleration cache, accelerating data query, and 10 times higher performance than any other cloud data warehouse.

AWS glue elastic views helps developers build applications that use multiple data stores. With materialized view, data can be merged and copied automatically between storage, data warehouse and database.

Amazon quicksight Q provides Amazon quicksight with machine learning driven capabilities, enabling users to express themselves in natural language, raise business questions in Amazon quicksight Q search bar, and receive highly accurate answers within seconds.

Publishing a new operation and maintenance service based on machine learning — Amazon Devops Guru

Amazon Devops guru, a fully managed operation and maintenance service, can help developers automatically detect operation and maintenance problems and propose remedial measures by using machine learning technology, which makes it easier for developers to improve application availability. Amazon Devops guru applied support Amazon.com And AWS machine learning technology, which has been operating excellently for many years, can automatically collect and analyze data such as application indicators, logs, events and trace information traces to identify behaviors that deviate from normal operation and maintenance mode. When Amazon Devops guru identifies abnormal application behaviors that may cause service interruption, it can help developers quickly understand the potential impact and possible causes of the problem, and make specific repair suggestions.

New generation of serverless – Aurora serverless V2

The new generation of Amazon Aurora serverless makes it more convenient for SQL server to migrate to Amazon aurora and from SQL server to PostgreSQL.

Aurora Serverless V2 can scale to support hundreds of thousands of transactions in less than one second, saving up to 90% of the cost compared to the way capacity is configured according to business peak demand.

Babelfish for Aurora PostgreSQL enables customers to run SQL server applications directly on Amazon Aurora PostgreSQL with little code change, freeing customers from the common punitive business behaviors of conservative database vendors.

Babelfish for PostgreSQL open source project will be released on GitHub in 2021. The project adopts the relaxed Apache 2.0 license, which makes babelfish for Amazon Aurora PostgreSQL’s parsing layer advantages to help more enterprise organizations.

Launch four new container features

Amazon ECS anywhere and Amazon eks anywhere allow customers to run Amazon ECs and Amazon eks anywhere in their own data centers.

AWS proton, a new service for developers, automates the development and deployment of container and serverless applications.

Amazon elastic container Registry (Amazon ECR) public makes it easy for developers to share and deploy container software publicly, which is simple and highly available.

These are the main new services and features announced by AWS CEO Andy Jassy in the keynote speech on the opening day of Re: invent. Re:Invent is still in the heat, with 5 keynote speeches, 18 executive speeches and more than 500 sub forum speeches in the three week conference. The long time and rich content are unprecedented in the cloud computing industry. More reading: AWS releases Apple MacOS instance for Amazon EC2. Amazon cloud service (AWS) fully supports smart operation of more than 50 schools of WFOE. AWS Technology Summit 2018 Shanghai station sets sail. It is expected that more than 50 technical forums and more than 6000 professionals will attend the meeting, creating the largest Tom Cat Game family with a daily life of 40 million in China Create “insensible” user experience with AWS cloud services AWS China regional release financial management services enable customers to use cloud services more economically and efficiently Server migration Amazon cloud service (AWS) Ningxia and Beijing officially launched Amazon sagemaker AWS announced Amazon braket quantum computing service officially launched Amazon sagemaker helps Walker AI achieve game content filtering accuracy of 96% Amazon cloud service (AWS) China officially launched two new file storage services: AWS marketplace “Reinventing” enterprise software SaaS journey AWS launched five new machine learning services to reshape and improve the daily tasks of enterprises without machine learning experience. Gartner’s latest report recommends that corporate customers learn from Amazon’s digital model

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