Just in case you’ve been living under a rock this December, Las Vegas recently played host to one of the cloud industry's biggest events of the year: AWS re:Invent. Now in its eighth year, attendees have grown accustomed to AWS re:Invent unveiling dozens of new tech features for IT professionals and developers.
But you didn’t have to be one of the 65,000 AWS re:Invent attendees to feel the sheer power of its impact: The major initiatives announced during the behemoth event sets the precedent for the future of the cloud industry.
Here are the top three trends to emerge from AWS re:Invent—and what they mean for the future of cloud computing in 2020 and beyond.
Innovating with more powerful processors.
Customers want more out of their cloud provider, without having to shell out an arm and a leg. And with the announcement of the next generation of AWS ARM processors, the Graviton2, they’re getting just that: AWS is launching stronger processors that can power computing resources at lower costs.
Compared to first-generation Graviton processors, today’s new chips should deliver up to 7x the performance of first-generation Graviton instances. Users will also benefit from 4x the number of compute cores, 2x larger caches, and 5x faster memory compared to the first-generation Graviton processors.
Graviton2 processors also offer enhanced security for cloud applications. They’ll feature key capabilities that enable developers to run cloud native applications securely, and at scale, 50% faster per core encryption performance compared to first-generation Graviton.
AWS is working on three types of Graviton2 EC2 instances that should be available soon. This includes:
- General-purpose instances (M6g and M6gd)
- Compute-optimized instances (C6g and C6gd)
- Memory-optimized instances (R6g and R6gd)
With the announcement, AWS is promising a 40% better price/performance ratio with ARM-based instances when you compare them with x86-based instances.
Making cloud computing even more accessible.
AWS re:Invent brought us the release of AWS Outpost, AWS Local Zones, and AWS Wavelength—each aiming to break down the cloud’s barriers and extend the reach of AWS to wherever customers need it. That means the cloud is more accessible than ever before—whether it’s on-premises, in key industrial centers, or on 5G mobile devices. Here’s what you can expect from these three releases in 2020:
- AWS Outposts: AWS announced the general availability of AWS Outposts, fully managed and configurable compute and storage racks built with AWS-designed hardware. This allows customers to run compute and storage on-premises while connecting to AWS’s broad array of services in the cloud.
- AWS Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility.
- AWS Local Zones: AWS’ new Local Zones deployment places AWS compute, storage, database, and other select services closer to large population industry and IT centers. This helps deliver applications faster than ever before—without requiring customers to build and operate datacenters. AWS Local Zones benefit areas where no AWS Region exists today, and means single-digit millisecond latency for use cases like media and entertainment, real-time gaming, and machine learning.
- AWS Wavelength (AWS embedded in your cellphone network): AWS Wavelength enables developers to deploy their applications in Wavelength Zones. These are AWS infrastructure deployments that embed AWS compute and storage services within telecommunications providers’ datacenters at the edge of 5G networks. This helps developers deliver applications that require single-digit millisecond latencies (like live video streaming).
Bringing machine learning to more customers.
If there’s one major trend that shows no signs of slowing down, it’s this: The demand for machine learning capabilities.
At re:Invent, AWS announced new AI services that build upon Amazon’s rich experience with machine learning, allowing more companies than ever before to apply machine learning and create better experiences. Here are some of the big machine learning advancements businesses can expect to see in 2020:
- Amazon Fraud Detector: This allows users to upload a file with historically labeled data, choose a model, and get an API that returns a real-time Fraud Score. The model knows how to identify several different types of malicious attempts (like account creation, payment attempts, etc.).
- Amazon Kendra: This gives users a search system capable of reading data from a variety of sources (S3, Salesforce, etc.) and produce a natural language query interface on top of it. The end result yields highly concise answers.
- Amazon CodeGuru: This gives users a service that can connect to GitHub and perform Code Review automatically using ML-based static analysis. This gives you best practices recommendations, performance enhancements, and bug fixes.
- Amazon Connect Contact Lens: This program offers a built-in analytics system that knows how to analyze customer engagements (calls and texts) and identify features such as “period of time when no one is talking” or “agent talking too fast.” The goal is to produce reports and recommendations that can ultimately boost performance and outcomes.
Want to dive deeper into our AWS re:Invent analysis? Check out our guest blog post from Velocity Technology's SVP of SAP Line of Business, Chance Veasey.