Welcome to Mobycast! This is the fourth episode that we’re re-releasing from back when we told Chris’s personal story of starting Viathan, which was a software startup built to create one of the first internet scale databases. In this episode we finish our deep dive into the technical details of how AWS’s Dynamo DB works. If you’re just joining us at Mobycast, thanks for sticking with us through this five part series. By the end, you’ll be ready to join us on any of our other technical deep dives.
- Partition keys and global secondary indexes determine how data is partitioned across a storage node; allows you to scale out, instead of up
- Understand how a database is built to make architecture/component definitions less abstract
- DynamoDB has four components:
2. Storage Node: Services responsible for persisting and retrieving data
3. Partition Metadata System: Keeps track of where data is located
4. Auto Admin: Handles housekeeping aspects to manage system
- What level of uptime availability do you want to guarantee?
- Replication: Strongly Consistent vs. Eventually Consistent
- Walkthrough of Workflow: What happens when, what does it mean when…
- DynamoDB architecture and components are designed to improve speed and scalability
- Split Partitions: Longer times that your database is up and the more data you put into it, the more likely you’re going to get a hot partition or partitions that are too big
What is Mobycast?
A Podcast About Cloud Native Software Development, AWS, and Distributed Systems