As with most events of 2020, the highly anticipated AWS re:Invent 2020 was virtual for the first time ever. Spanning for a period of three weeks, the free event gave a glimpse into the new announcements, features, and improvements by AWS. With exciting announcements and sessions by AWS experts and industry leaders, the event succeeded in remaining as one of the most significant cloud conferences of the year. Acknowledging that the pandemic has accelerated Cloud business by pushing more companies to the Cloud, Andy Jassy, CEO of AWS, emphasized the need to ‘reinvent’ to survive and thrive in the environment that we operate in today and went on to reveal the new releases by AWS for the upcoming year.
In case you had missed out on the event, read on, for we have compiled a list of 10 exciting new AWS releases from the entire event. If you are looking for a quick look at the announcements, we suggest you check out our infographic on the same topic.
While the event witnessed the announcement of several new features and additions, we have zeroed in on the top 10 announcements for a simplified view.
1. Amazon ECS and EKS Anywhere
Introduced during Andy Jassy’s keynote address, Amazon ECS and EKS Anywhere enable users to run ECS and EKS in their own data centers. This new announcement caters to the needs of the customers who were looking for the same deployment methods on-premise as they do on AWS. Through this announcement, AWS ensures that the container orchestration software used in ECS and EKS is made freely available to deployments outside AWS. This will enable lowered latency and improved integration.
2. AWS Proton
AWS Proton is another exciting service that helps manage and automate code deployments and infrastructure provisioning for applications that are serverless and container-based. With this release, AWS enables infrastructure teams to define standard templates centrally while making them available for the developers in their organization. This ensures that the productivity of the developers remain unaffected while the infrastructure teams manage and update their infrastructure. As of now, AWS Proton is available in preview in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland).
3. AWS Trainium
Designed by AWS, Trainium is a custom machine learning chip that is intended to provide the best price-performance for training ML models in the Cloud. Additionally, Trainium enables a broader set of ML applications and offers the highest performance with the most teraflops (TFLOPS) of computer power for ML in the Cloud. The chip shares the same AWS Neuron SDK as AWS Inferentia, and this makes it easy for developers to using Inferentia to get a head start on Trainium.
4. AWS Glue Elastic Views
This release simplifies the process of building materialized views that combine and replicate data across multiple data stores without having to write custom code. This service undertakes the difficult task of copying and combining data from source to target data stores. The process that used to take months is now considerably reduced and can be completed within minutes. Additionally, it also monitors the changes to data in the source data stores, and when the changes do occur, Elastic Views updates the target data store automatically. This service is serverless and scalable and also notifies developers whenever there is a change to the data model. It supports Amazon DynamoDB, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, and support for more data stores are supposed to follow soon.
5. AWS Monitron
Amazon Monitron is a cost-effective and simple condition monitoring service aimed at predictive maintenance. It enables the implementation of predictive maintenance and reduces unplanned downtime by allowing us to monitor the condition of equipment in our facilities. The setting up of Monitron is simple and consists of sensors, gateway, and machine learning service intended to detect abnormal equipment conditions.
6. Amazon Location
The newly announced Amazon Location service provides access to maps and location-based services from multiple providers on a pay-as-you-go basis. With this service, users are not tied down to the business models of a single provider, which are otherwise complex and expensive. The service is available in preview form and can be used to build applications that know their whereabouts and provide responses accordingly. Some of the features of the service include being able to display maps, validate addresses, perform geocoding (turn an address into a location), track the movement of packages and devices, and much more. The service can be accessed from the AWS Management Console, AWS Command Line Interface(CLI), or using a set of APIs.
7. Amazon Managed Service for Prometheus
A Prometheus-compatible monitoring service, Amazon Managed Service for Prometheus(AMP), enables easier monitoring of containerized applications at scale. The service currently available in preview scales automatically while handling millions of unique time-series metrics from large container deployments. AMP also supports all metric types, including summary, counter, gauge, and histogram. It also reduces operational costs of upgrading, configuring, and scaling standalone Prometheus servers by removing the undifferentiated heavy lifting of running open-source Prometheus at scale.
8. Amazon HealthLake
Healthcare organizations take considerable time to collect patient data and prepare it for transformation, structuring, and analysis. In addition to being time-consuming, it involves high costs and operational complexity. The newly released Amazon HealthLake simplifies this by providing a fully managed, HIPAA compliant service that enables healthcare customers to collect their health information from different silos and formats them into a centralized AWS data lake. HealthLake leverages ML models such as natural language processing (NLP) to automatically decipher and extract meaningful information from unstructured data ensuring that this information can be searched with ease.
9. Amazon SageMaker Edge Manager
This new capability of the Amazon SageMaker simplifies the process of optimizing, securing, monitoring, and maintaining ML models across fleets of edge devices. By making it easier for ML edge developers to use the familiar tools in the Cloud or on edge devices, this release considerably reduces the time and effort taken to get models to production. It also enables continuous monitoring and improvement of the model quality across our device’s fleet. Definitely one of the most important updates to Amazon SageMaker, the cloud-based ML learning platform, Edge Manager enables effortless deployment and management of models at the edge.
10. AWS SaaS Boost
This soon to be open-sourced release is a ready-to-use reference environment that is aimed at helping independent software vendors to speed up their move to Software-as-a-Service(SaaS). The service supports a range of customers from small software businesses to large global solution providers. AWS SaaS boost accelerates the process of moving applications to AWS with modifications as minimal as possible. By guiding customers through the migration and operational process and providing ready-to-use core elements as analytics and dashboards, deployment automation, billing, and metering, the service makes the migration to SaaS as frictionless as possible.
As every year, AWS has delivered to the needs of its customers with yet another set of significant announcements and releases. We are excited to witness the impact that the new releases have on businesses and see how companies adopt them to streamline their operations. These ten releases are only the tip of the iceberg of the magnificent event that re:Invent has been. For the complete list of AWS re:Invent 2020 releases, head to the AWS announcements blog here.
Marketing Executive, RapidValue