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How Dynamo powered the distributed future

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Ten years ago, a database was needed to scale out for both reads and writes to meet the long-term needs of a growing business. The Amazon Dynamo database was developed and WERNER VOGELS, CTO of Amazon.com explains how its has grown from then.

It all started in 2004 when Amazon was running Oracle’s enterprise edition with clustering and replication. We had an advanced team of database administrators and access to top experts within Oracle. We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded.

Our straining database infrastructure on Oracle led us to evaluate if we could develop a purpose-built database that would support our business needs for the long term. We prioritized focusing on requirements that would support high-scale, mission-critical services like Amazon’s shopping cart, and questioned assumptions traditionally held by relational databases such as the requirement for strong consistency. Our goal was to build a database that would have the unbounded scalability, consistent performance and the high availability to support the needs of our rapidly growing business.

A deep dive on how we were using our existing databases revealed that they were frequently not used for their relational capabilities. About 70 percent of operations were of the key-value kind, where only a primary key was used and a single row would be returned. About 20 percent would return a set of rows, but still operate on only a single table.

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

The success of our early results with the Dynamo database encouraged us to write Amazon’s Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. The Dynamo paper was well-received and served as a catalyst to create the category of distributed database technologies commonly known today as “NoSQL.”

Of course, no technology change happens in isolation, and at the same time NoSQL was evolving, so was cloud computing. As we began growing the AWS business, we realized that external customers might find our Dynamo database just as useful as we found it within Amazon.com. So, we set out to build a fully hosted AWS database service based upon the original Dynamo design.

The requirements for a fully hosted cloud database service needed to be at an even higher bar than what we had set for our Amazon internal system. The cloud-hosted version would need to be:

  • Scalable – The service would need to support hundreds of thousands, or even millions of AWS customers, each supporting their own internet-scale applications.
  • Secure – The service would have to store critical data for external AWS customers which would require an even higher bar for access control and security.
  • Durable and Highly-Available – The service would have to be extremely resilient to failure so that all AWS customers could trust it for their mission-critical workloads as well.
  • Performant – The service would need to be able to maintain consistent performance in the face of diverse customer workloads.
  • Manageable – The service would need to be easy to manage and operate. This was perhaps the most important requirement if we wanted a broad set of users to adopt the service.

With these goals in mind, In January, 2012 we launched Amazon DynamoDB, our cloud-based NoSQL database service designed from the ground up to support extreme scale, with the security, availability, performance and manageability needed to run mission-critical workloads.

Today, DynamoDB powers the next wave of high-performance, internet-scale applications that would overburden traditional relational databases. Many of the world’s largest internet-scale businesses such as Lyft, Tinder and Redfin as well as enterprises such as Comcast, Under Armour, BMW, Nordstrom and Toyota depend on DynamoDB’s scale and performance to support their mission-critical workloads.

DynamoDB is used by Lyft to store GPS locations for all their rides, Tinder to store millions of user profiles and make billions of matches, Redfin to scale to millions of users and manage data for hundreds of millions of properties, Comcast to power their XFINITY X1 video service running on more than 20 million devices, BMW to run its car-as-a-sensor service that can scale up and down by two orders of magnitude within 24 hours, Nordstrom for their recommendations engine reducing processing time from 20 minutes to a few seconds, Under Armour to support its connected fitness community of 200 million users, Toyota Racing to make real time decisions on pit-stops, tire changes, and race strategy, and another 100,000+ AWS customers for a wide variety of high-scale, high-performance use cases.

With all the real-world customer use, DynamoDB has proven itself on those original design dimensions:

  • Scalable – DynamoDB supports customers with single tables that serve millions of requests per second, store hundreds of terabytes, or contain over 1 trillion items of data. In support of Amazon Prime Day 2017, the biggest day in Amazon retail history, DynamoDB served over 12.9 million requests per second. DynamoDB operates in all AWS regions (16 geographic regions now with announced plans for six more Regions in Bahrain, China, France, Hong Kong, Sweden), so you can have a scalable database in the geographic region you need.
  • Secure – DynamoDB provides fine-grained access control at the table, item, and attribute level, integrated with AWS Identity and Access Management. VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud. Integration with AWS CloudWatch, AWS CloudTrail, and AWS Config enables support for monitoring, audit, and configuration management. SOC, PCI, ISO, FedRAMP, HIPAA BAA, and DoD Impact Level 4 certifications allows customers to meet a wide range of compliance standards.
  • Durable and Highly-Available – DynamoDB maintains data durability and 99.99 percent availability in the event of a server, a rack of servers, or an Availability Zone failure. DynamoDB automatically re-distributes your data to healthy servers to ensure there are always multiple replicas of your data without you needing to intervene.
  • Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases. In addition, DynamoDB Accelerator (DAX) a fully managed, highly available, in-memory cache further speeds up DynamoDB response times from milliseconds to microseconds and can continue to do so at millions of requests per second.
  • Manageable – DynamoDB eliminates the need for manual capacity planning, provisioning, monitoring of servers, software upgrades, applying security patches, scaling infrastructure, monitoring, performance tuning, replication across distributed datacenters for high availability, and replication across new nodes for data durability. All of this is done for you automatically and with zero downtime so that you can focus on your customers, your applications, and your business.
  • Adaptive Capacity –DynamoDB intelligently adapts to your table’s unique storage needs, by scaling your table storage up by horizontally partitioning them across many servers, or down with Time To Live (TTL) that deletes items that you marked to expire. DynamoDB provides Auto Scaling, which automatically adapts your table throughput up or down in response to actual traffic to your tables and indexes. Auto Scaling is on by default for all new tables and indexes.

Ten years ago, we never would have imagined the lasting impact our efforts on Dynamo would have. What started out as an exercise in solving our own needs in a customer obsessed way, turned into a catalyst for a broader industry movement towards non-relational databases, and ultimately, an enabler for a new class of internet-scale applications.

As we say at AWS, It is still Day One for DynamoDB. We believe we are in the midst of a transformative period for databases, and the adoption of purpose-built databases like DynamoDB is only getting started. We expect that the next ten years will see even more innovation in databases than the last ten. I know the team is working on some exciting new things for DynamoDB – I can’t wait to share them with you over the upcoming months.

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Notre Dame, Scoop Makhathini, GoT, top week in search

From fire disaster to social media disaster, the top Google searches this week covered a wide gamut of themes.

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Paris and the whole world looked on in shock as the 856-year-old medieval Catholic cathedral crumbled into ash. The tragic infernal destruction of this tourist attraction of historical and religious significance led South Africans to generate more than 200 000 search queries for “Notre Dame Cathedral” on Monday. Authorities are investigating the cause of the fire that razed the architectural icon.

In other top trending searches on Google this week, radio presenter Siyabonga Ngwekazi, AKA Scoop Makhathini, went viral when it appeared he had taken to Twitter to expose his girlfriend, Akhona Carpede, for cheating on him. Scoop has since come out to say that he was not responsible for the bitter rant and that his account was hacked. “Scoop Makhathini” generated more than 20 000 search queries on Wednesday.

Fans generated more than 20 000 search queries for “Sam Smith” on Tuesday ahead of the the British superstar’s Cape Town performance at the Grand West Casino. Smith ended up cutting his performance short that night due to vocal strain.

Local Game of Thrones superfans were beside themselves on Sunday, searching the internet high and low for the first episode of the American fantasy drama’s eighth season. “Game of Thrones, season 8, episode 1” generated more than 100 000 queries on Google Search on the weekend.

As the festivities kicked off in California with headliners such as Childish Gambino and Ariana Grande, South Africans generated more than 2 000 search queries for “Coachella” on Saturday.

South Africans generated more than 5 000 search queries for “Wendy Williams” on Friday  as it emerged that the American talk show host had filed for divorce from her husband Kevin Hunter after 21 years of marriage. Hunter has long been rumored to have been cheating on Williams, which reportedly finally led to the divorce.

Search trends information is gleaned from data collated by Google based on what South Africans have been searching for and asking Google. Google processes more than 40 000 search queries every second. This translates to more than a billion searches per day and 1.2 trillion searches per year worldwide. Live Google search trends data is available at https://www.google.co.za/trends/hottrends#pn=p40

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5G smartphones to hit 5M sales in 2019

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According to the latest research from Strategy Analytics, global smartphone shipments will reach a modest 5 million units in 2019. Early 5G smartphone models will be expensive and available in limited volumes. Samsung, LG and Huawei will be the early 5G smartphone leaders this year, followed by Apple next year.

Ken Hyers, Director at Strategy Analytics, said, “We forecast global 5G smartphone shipments will reach a modest 5 million units in 2019. Less than 1 percent of all smartphones shipped worldwide will be 5G-enabled this year. Global 5G smartphone shipments are tiny for now, due to expensive device pricing, component bottlenecks, and restricted availability of active 5G networks.”

Ville Petteri-Ukonaho, senior analyst at Strategy Analytics, added, “Samsung will be the early 5G smartphone leader in the first half of 2019, due to initial launches across South Korea and the United States. We predict LG, Huawei, Xiaomi, Motorola and others will follow later in the year, followed by Apple iPhone with its first 5G model during the second half of 2020. The iPhone looks set to be at least a year behind Samsung in the 5G smartphone race and Apple must be careful not to fall too far behind.”

Neil Mawston, executive director at Strategy Analytics, added, “The short-term outlook for 5G smartphones is weak, but the long-term opportunity remains huge. We forecast 1 billion 5G smartphones to ship worldwide per year by 2025. The introduction of 5G networks, by carriers like Verizon or China Mobile, opens up high-speed, ultra-low-latency services such as 8K video, streaming games, and augmented reality for business. The next big question for the mobile industry is how much extra consumers are really willing to pay, if anything, for those emerging 5G smartphones and services.”

Strategy Analytics provides a snapshot analyses for the outlook for 5G smartphone market in this Insight report: 5G Smartphones : From Zero to a Billion

Strategy Analytics provides a deep-dive into the air-interface technologies that will power phones through 2024 across 88 countries here: Global Handset Sales Forecast by 88 Countries and 19 Technologies : 2003 to 2024

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