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Instaclustr headquartered in Redwood City offers managed hosting for Apache Cassandra, Redis, Kafka and Kafka Connect, and Elasticsearch. And Instaclustr Managed Platform is available for on-prem and private data centers, where users take responsibility for the infrastructure and Instaclustr takes full responsibility for ensuring open source data layer technologies, such as Cassandra and Kafka, are managed to achieve availability and latency SLAs.

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Instaclustr story written and narrated in a poem format by our very own APAC Sales Director - Tim Palmer.
Trust us we have never come across a technology story narrated in this engaging format. See it, hear it to believe us.

A Tale of Tech Titans -  The Instaclustr Story

Instaclustr story written and narrated in a poem format by our very own APAC Sales Director - Tim Palmer.
Trust us we have never come across a technology story narrated in this engaging a format. See it, hear it to believe us.

It started way back in 2009 -
Zuckerberg and his cronies were anything but fine.
They thought their Ops team were genius, creative and affable.
Only one problem: their database wasn't scalable!


Over 100M users, and growing thousands by the day,
It was clear their data model was leading them astray.
What they needed was something to make Zuckerberg proud
A database always on, scalable and ready for the cloud!


The engineers bunkered down in the basement so dark,
"I need a solution now", the captain would angrily bark.
After weeks of coding, malnourishment and constant hazing,
Cassandra was created, and it truly was amazing.


The promise was grand, to deliver the data holy trinity:
Performance, Scale and ultra high availability.
The technology gained momentum but not in isolation
They soon open sourced it to the Apache Foundation


From this day it's fair to say adoption truly flurried,
Apple, Netflix and eBay - in production they all hurried
But as we all know, no investments comes for free
Adopting this tech brings much complexity


How do I architect it, deploy it and manage?
What if something breaks? My tech's have got enough baggage!
Around the same time, Kafka came onto the scene
A distributed streaming platform like had never been seen!


Real-time data pipelines, microservices and streaming,
The LinkedIn guys nailed it - all the rest were caught dreaming!
These distributed technologies have completely changed the game-
The way apps are designed will never be the same!


Real time applications for Financial Services, Gaming and utilities
Serving millions of concurrents is now a real possibility.
But as with Cassandra, not all is roses
Adopting this in anger - many challenges it poses


What do I monitor, what if it fails?
Can I run schema registry without biting off my nails?
Can't we just use it, and someone else run it?
Funny you ask - that's precisely where we fit!


In 2014 a couple of bright young Canberrans
Started off Instaclustr - what a couple of legends!
The aim was to address the common thread in this tale,
Running distributed tech without the complexity entailed


So Ben and Adam built a Provisioning layer,
With automated secure deployments on your chosen cloud player
What used to take weeks, done now with a click of a mouse
Having clusters running in seconds - mate that's heaps grousse!


Along with this is some other cool tools -
Backups, managed scale-ups, a pretty monitoring view.
But what use are the tools without the expertise to use them?
Its like toddler in the driver’s seat, you're facing rack and ruin!


To bridge this gap, "The League of Extraordinary Operators" was enshrined,
Or the Instaclustr Tech-Ops team, to the less creatively inclined
24 by 7 DBA's  fighting your fights
A huge pool of expertise letting your DevOps sleep at night


This is no small investment, as I'm sure you all will know,
Recruiting big data techs is job in of its own!
Now with over 70 engineers building product and fighting fires,
We're here to help you build and run, your next tech empires!


Thank you all for listening, and being here in all your glory
We'd love to chat when you get the chance, to hear your big data story.

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