80.1 million requests per second on DynamoDB

Amazon Live and IVS on Prime Day Throughout Prime Day 2020, Amazon customers were able to shop from livestreams through Amazon Live. Shoppers were also able to use live chat to interact with influencers and hosts in real time. They were able to ask questions, share their experiences, and get a better feel for products of interest to them. Amazon Live helped customers learn more about products and take advantage of top deals by counting down to Deal Reveals and sharing live product demonstrations.
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Samsung Migrates 1.1 Billion Users across Three Continents from Oracle to Amazon Aurora

Samsung completed the EU migration by April 2019, the China migration by October 2019, and the US migration by March 2020, all with minimal downtime. “We had some downtime but not much,” says Jung. “The important thing is that we detected problems quickly and minimized the user impact. After the migration, Samsung is fully prepared for future growth. For example, Aurora now allows Samsung to seamlessly scale up to 15 Aurora Replicas—independent endpoints in an Aurora database cluster used for scaling read operations and increasing availability—across the availability zones in each region.
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The industry estimates that Samsung Electronics paid more than $483 million to AWS in 2019

Samsung Electronics is planning to gradually lower its dependence on AWS (Amazon Web Service) and is looking to use its own cloud system because it believes that it is better for it to lower its dependency. Source:

Facebook AI, AWS partner to release new PyTorch libraries

Facebook AI and AWS have partnered to release new libraries that target high-performance PyTorch model deployment and large scale model training. As part of the broader PyTorch community, Facebook AI and AWS engineers have partnered to develop new libraries targeted at large-scale elastic and fault-tolerant model training and high-performance PyTorch model deployment. These libraries enable the community to efficiently productionize AI models at scale and push the state of the art on model exploration as model architectures continue to increase in size and complexity.
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How Amazon is solving big-data challenges with data lakes

Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory, and forecasting future demand was relatively simple. Fast-forward 25 years, Amazon’s retail business has more than 175 fulfillment centers (FC) worldwide with over 250,000 full-time associates shipping millions of items per day. Amazon’s worldwide financial operations team has the incredible task of tracking all of that data (think petabytes).
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Database Migration To Amazon Aurora

In this blog post we’ll show you how we migrated a critical Postgres database with 18Tb of data from Amazon RDS (Relational Database Service) to Amazon Aurora, with minimal downtime. To do so, we’ll discuss our experience at Codacy. We chose Amazon’sAuroradatabase as a solution for a few key reasons including: 1) automatic storage growth (up to 64Tb); 2) ease of migration from RDS and 3) performance benefits. Although, Aurora’s official docs only claimed up to a3x increase in throughput performanceover stock PostgreSQL 9.
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Cloud-Powered, Next-Generation Banking

Traditional banks make extensive use of labor-intensive, human-centric control structures such as Production Support groups, Security Response teams, and Contingency Planning organizations. These control structures were deemed necessary in order to segment responsibilities and to maintain a security posture that is risk averse. Unfortunately, this traditional model tends to keep the subject matter experts in these organizations at a distance from the development teams, reducing efficiency and getting in the way of innovation.
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Amazon Releases Container Monitoring for Amazon ECS, EKS, and Kubernetes via CloudWatch

Recently, Amazon announced that customers can now monitor, isolate, and diagnose their containerized applications and microservices environments using Amazon CloudWatch Container Insights. Cloud Insights is a part of Amazon CloudWatch, a fully-managed monitoring and observability service in AWS targeted for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. Source:

AWS power outage with data loss

On August 31st, 2019, an Amazon AWS US-EAST-1 datacenter in North Virginia experienced a power failure at 4:33 AM, which led to the datacenter’s backup generators to kick on. Unfortunately, these generators started failing at approximately 6:00 AM , which led to 7.5% of the EC2 instances and EBS volumes becoming unavailable. ‘1:30 PM PDT At 4:33 AM PDT one of ten data centers in one of the six Availability Zones in the US-EAST-1 Region saw a failure of utility power.
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Toward a bastion-less world

Using a bastion or jump server has been a common way to allow access to secure infrastructure in your virtual private cloud (VPC) and is integrated into several Quick Starts. Amazon Web Services (AWS) has recently released two new features that allow us to connect securely to private infrastructure without the need for a bastion host. This greatly improves your security and audit posture by centralizing access control and reducing inbound access.
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