Using YugabyteDB with Hasura to scale your GraphQL API globally
Software Architect & consultant
Web / Mobile / VR / AR / IoT / AI
GDE, author, engineer
CTO & Co-founder
creating a robust, performant, and feature-rich online conferencing experience
Microservices architecture
3factor.app Architecture
GraphQL
A query language for your API
What is Hasura
open source and free engine that gives you auto-generated real-time GraphQL API on top of new or existing Postgres database
Features
- Can be deployed to any cloud or run locally
- Compatible with all Authentication solutions
- Can run on top of new or existing Postgres database
- Supports Postgres addons (PostGIS, TimescaleDB)
- Auto-generates GraphQL api
- GraphQL queries are compiled to performant SQL statements using native Postgres features
Features
- Comes with hasura-cli which has awesome tools like migrations and more
- Can work with custom SQL statements
- Has configurable access controls for data
- Can be connected to your own GraphQL server (does schema stitching)
- Has eventing system which enables to trigger serverless functions
Let's see it in action
we will run Hasura locally
What about scaling
What about some numbers?
Single instance configuration | No. of active live queries | CPU load average |
---|---|---|
1xCPU, 2GB RAM | 5000 | 60% |
2xCPU, 4GB RAM | 10000 | 73% |
4xCPU, 8GB RAM | 20000 | 90% |
Postgres is under about 28% load with peak number of connections being around 850
What is YugabyteDB
open-source, high-performance distributed SQL database for powering global, internet-scale applications.
What is YugabyteDB
Built using combination of
- high performance document store
- per-shard distributed consensus replication
- multi-shard ACID transactions (inspired by Google Spanner)
cloud-native database!
- public/private clouds
- Kubernetes environments
What is YugabyteDB
What it brings:
- PostgreSQL-compatible SQL API
- low-latency read performance
- globally distributed write scalability
Let's see it in action:
I will use local Mac install
./bin/yb-ctl create --rf 3 --tserver_flags "ysql_suppress_unsupported_error=true"
Create Yugabyte cluster
Cluster Admin UI (localhost:7000)
Run Hasura on top of YugabyteDB
docker run -d -p 8080:8080 -e \
HASURA_GRAPHQL_DATABASE_URL=postgres://postgres:@host.docker.internal:5433/yugabyte \
-e HASURA_GRAPHQL_ENABLE_CONSOLE=true hasura/graphql-engine:latest
Note that port number is 5433
Now let's access Hasura console and see it in action
Run Hasura on top of YugabyteDB
docker run -d -p 8080:8080 -e \
HASURA_GRAPHQL_DATABASE_URL=postgres://postgres:@host.docker.internal:5433/yugabyte \
-e HASURA_GRAPHQL_ENABLE_CONSOLE=true hasura/graphql-engine:latest
Note that port number is 5433
Now let's access Hasura console and see it in action
Let's simulate downtime
./bin/yb-ctl stop_node 2
subscriptions will keep running and everything will work as expected
./bin/yb-ctl stop_node 3
2 failed nodes with Replication factor 3
Replication factor is 3 so one infrastructure failure is fine
failures that it can tolerate are:
- disk
- network
- availability zone
- cloud region/datacenter
- entire cloud
Why one failure is fine, but two are not?
Takeaways
Hasura auto-generate GraphQL API for you
YugabyteDB takes care of high availability of your DB
YugabyteDB global distribution brings the data close to users for multi-region and multi-cloud deployments
Hasura and YugabyteDB are open-source
Start using it today!
Thank You
@VladimirNovick
consulting/remote workshops/mentoring
Event Loop
Using YugabyteDB with Hasura to scale your GraphQL API globally
By Vladimir Novick
Using YugabyteDB with Hasura to scale your GraphQL API globally
Creating and scaling your GraphQL API can be hard. In this talk we will see not only how we can easily create GraphQL API with Hasura engine, but how we can reduce the common bottleneck - database by bringing high performance distributed SQL database - YugabyteDB. We will see how our GraphQL api will continue to work even in case of catastrophic failures of database nodes, discuss load balancing, how to deploy and manage it and more
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