Your free ticket to Monster SCALE Summit is waiting — 60+ engineering talks on data-intensive applications (Sponsored)
Monster SCALE Summit is a new virtual conference that’s all about extreme-scale engineering and data-intensive applications.
Join us on March 11 and 12 to learn from engineers at Discord, Disney+, Slack, Canva, Uber, Cloudflare, Wise, Atlassian + more. A few topics on the agenda:
Re-engineering Postgres for Millions of Tenants
How Discord Indexes Trillions of Messages
Using AI to Scale Canva's Image Labeling System from 0 to 30B
Applying Rust and K8s for Extreme-Scale Engineering Challenges
What’s Next for Data-Intensive Applications and Distributed Data Systems
Bonus: We have 500 free swag packs for attendees. And everyone gets 30-day access to the complete O’Reilly library & learning platform.
This week’s system design refresher:
What Is the Most Popular Open-Source AI Stack? (Youtube video)
ByteByteGo Book Signing & Giveaway Event in San Francisco (Completely Free)
A Cheatsheet on Comparing Key-Value Stores
A Handy Cheatsheet for the Most Popular Cloud Services
Which Database Should I Use on AWS?
SPONSOR US
What Is the Most Popular Open-Source AI Stack?
ByteByteGo Book Signing & Giveaway Event in San Francisco (Completely Free)
Join us for a special book signing and giveaway featuring Coding Interview Patterns and Generative AI System Design!
Time : Thursday, March 20, 6:00 PM - 8:30 PM
Agenda:
?6:00 - 6:30 PM - Welcome Reception + Light Bites
?️6:45 - 7:00 PM - Co-Authors + Host Intros
?7:00 - 8:30 PM - Book Signing + Networking + Dinner/Drinks
- First 100 attendees receive 1 free book (while supplies last)
- Please bring your copy if you have one!
- No formal talk - relaxed, casual networking
Location: Wefunder, 1885 Mission St, San Francisco, CA 94103
Thank you Gargi Kand for helping us organizing the event!
Come join us: https://lu.ma/qkswrlzg
A Cheatsheet on Comparing Key-Value Stores
A key-value store is a database that stores data as a collection of key-value pairs. We compare 15 key-value stores across different parameters like replication style, consistency protocol, node discovery approach, and partitioning approach.
The databases covered are:
Redis
MongoDB
Cassandra
DynamoDB
Neo4j
Couchbase
CosmosDB
HBase
Firestore
ScyllaDB
CouchDB
Zookeeper
ETCD
Riak
FoundationDB
Over to you: Which other database will you add to the list?
A Handy Cheatsheet for the Most Popular Cloud Services
What’s included?
AWS, Azure, Google Cloud, Oracle Cloud
Cloud servers
Databases
Message queues and streaming platforms
Load balancing, DNS routing software
Security
Monitoring
Over to you - which company is the best at naming things?
Which Database Should I Use on AWS?
This question often comes up when we start deploying an application on AWS. There are many options available to choose from.
Broadly, there are three categories of databases:
Relational
The two main choices in this space are AWS RDS and AWS Aurora.
AWS RDS is a managed relational DB service that supports MySQL, PostgreSQL, Oracle, etc. AWS Aurora is a cloud-native relational database that supports high availability and scalability
Non-Relational
The three main choices in this category are DynamoDB, DocumentDB, and AWS Keyspaces.
DynamoDB is a fully managed NoSQL key-value datastore. DocumentDB is a managed document database compatible with MongoDB. AWS Keyspaces is a managed, wide-column Apache Cassandra service for large-scale workloads.
In-memory
AWS Elasticache is the most popular option in this category. It is a fully managed Redis or Memcached service for sub-millisecond latency.
Over to you: Which AWS Databases have you used?
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