Amazon had an insane requirement. Every product added to cart should never be missed. Lo and Behold! DynamoDB was born.
Insane requirements drive the best innovation
Proctor, a developer friendly automation orchestrator, was born out of similar requirements:
- Centralize automation across org
- Democratize contribution to automation
- Democratize utilization of automation
Thus, Proctor was born. Using Proctor, let’s point proctor.gojek.com domain to 22.214.171.124 IP address. Using proctor binary, we can run Procs -aka automation to create domain name records. Behind the scenes,
dns-creation Proc creates a domain name record in AWS route53.
NOTE: To create a domain name record, we needed neither access to AWS nor knowledge of route53
Go-Jek is a high growth startup 1. As Matt Klein correctly observes in this blog, Go-Jek too formed a small team in the early days to cope with maddening infrastructure requirements. The result, though good in the short-term, proved catastrophic in the long-term. We ended up with:
- A plethora of scripts spread across org
- A nightmare of managing dependencies of scripts
- Managing access for scripts' tools
Running into problems
Using a kitchen knife you can cut vegetables and cook delicious food. Lose focus, and you end up hurting yourselves (sometimes others too). This goes without saying that widespread access to powerful tools like knife, AWS, gcloud has resulted in VMs being deleted and databases being dropped accidentally.
Having automation spread across org resulted in:
- Multiple ways of performing similar tasks - duplication of effort
- Dependency installation for using scripts painful - onboarding issues
- Propagating changes in scripts across org almost impossible
Centralize automation across org
- All Procs reside in a central automation reservoir
- Procs are under version control
- proctord, a web service, facilitates running of Procs
Democratize contribution to automation
- Procs are packaged inside docker images2
- Dockerized Procs means no restraints for delopers contributing to automation. AWS, gcloud, chef, ansible choose whichever tools you like! ruby, python, bash, perl choose whichever language you like!
- proctord provisions access to tools needed by Procs during runtime
For building automation, your imagination is the limit!
Democratize utilization of automation
- Using proctor binary, developers execute Procs from their CLI
- proctord spins up Procs as jobs in a kubernetes cluster3
- proctord streams logs of Procs to user’s CLI for feedback
We’ve launched beta of Proctor at Go-Jek4. Usage of automation across org has reduced ad-hoc tasks for the systems team by 70% over the past 3 months.
We now build the utilities of powerful tools as automation and distribute it using Proctor, enabling controlled access.5
It took 3 components - Procs, proctord and a binary to solve automation at Go-Jek. To the end-user, using automation only requires a binary and an internet connection 😍
Open sourcing Proctor
We’ve open sourced Proctor. You can find the source code here
In an upcoming blog, we’ll take a deep dive into the architecture of Proctor. We’ll answer questions such as why using rundeck didn’t work for us, how we scale Proctor, how we manage secrets and access to tools required by Procs, etc.
I hope this blog was helpful 😀. Please leave your thoughts in the comments section below. You can reach out to me on email: akshat.iitj⚽gmail.com
https://www.techinasia.com/gojek-insider-account-of-scaling-900x-doubling and https://blog.gojekengineering.com/200-engineers-261-million-people-go-jeks-impact-in-indonesia-b8f87934e6c1↩
Immutable infrastructure provides Proctor an edge over competing open source automation solutions↩
A k8s cluster helps us scale the automation orchestrator infinitely↩
Authentication is a blocker for v1.0.0 release↩