A Tale of Scaling Observability
07-12, 14:00–14:30 (Europe/Prague), North Hall

What it’s like to keep the lights on in a rapidly growing business - how we’ve scaled our metrics, logging and tracing beyond processing 50TB+ of telemetry a day, and what we’ve learned along the way.

During this session, we will discuss the challenges of scaling high load services, and give few pointers to developers to help your chosen open-source observebility tool function as a product.


Expected audience expertise

Intermediate

Pythonista and a YAML Engineer with 7 years of experience in building and maintaining Observability systems using Open-Source software and tools.

Toomas started his journey working as a technician in Data Centers, making his way to working as an Application Administrator and Sysadmin building & maintaining Metrics and Logging systems (Zabbix & Elasticsearch). During that time, he started writing monitoring scripts in Python, ending up in inheriting a NOC software that was written in Python - giving him an opportunity to learn more about software development in Python.

In 2018, Toomas ended up leaving his home country of Estonia for someone he met in Tinder to "give love a chance"...

As he moved to the UK, he worked in some devopsy roles in London and Oxford. In the end, when things didn't work out - he ended up moving to London - working for what he'd like to think of as an Estonian company.

In London, he also met his current partner (in real life), who he's been together with for 3 years now.

During his time in Wise he's been able to work on systems at scale, progress through engineering levels (IC2 - IC5) - pursuing an Individual Contributor track and focus on solving interesting engineering problems.

As their LinkedIn says - their job is to break stuff and build things...