I’ve been playing with OpenTelemetry in my spare time because of a general interest for my current role heading up Telemetry at Netflix as it appears to be gaining traction in the industry as a standardized way of collecting traces, metrics and logs for Observability. While experimenting I also came across Google Cloud Run, which…

Running Python OpenTelemetry with Google Cloud Run

At Outlyer, as a monitoring company, we rely on time-series databases (TSDBs) as a foundation for building a scalable and reliable monitoring solution. Over the past few years, we’ve gone through 3 iterations of our architecture as we scaled up with more metrics and more customers, and we haven’t always gotten it right. We’ve tested…

Why NOT to Build a Time-Series Database

Back in December 2014, we had a team Christmas hackathon and I decided I wanted to make Java Monitoring really simple via our agent and integration plugins. At that time we were recommending new users monitor Java services using solutions like Jolokia, listed in this blog we wrote back then. It was frustrating that our…

Introducing JMXQuery to Monitor Java via Python

In the past few weeks, we closed our seed funding round at Dataloop.IO, moved to new offices, hired 2 more people and did some PR to announce our funding round. In parallel our meetup group, DevOps Exchange, has now grown to become the worlds 2nd largest DevOps meetup group and we hosted our largest event…

Making everything a Pipeline in your Start-up

My last blog talked about the effect of Big Data on the future of Enterprise. When it comes to generating insights and correlations on data, a branch of Artificial Intelligence (AI), Machine Learning (ML), is a key tool in the Data Scientist’s arsenal. Machine Learning is a set of algorithms that can apply statistics on…

The Future of Enterprise: Machine Learning

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My first personal blog in years. I actually looked back through all my posts and find it interesting how so many of my opinions have changed in the last few years doing my 2nd startup, moving to America, becoming a father. I don’t think I would write a blog praising Marget Thatcher as much today…

Building An Abundant Future Through Deflation

Having moved to the US two years ago, my son Tagir now has to do annual science fair projects at school, which are a great opportunity for him to learn about the scientific method and how to run experiments and analyse data. For his 7th grade project this year, as he’s super interested in electronics…

Building a Raspberry PI Weather Station

A couple of weeks ago I did a talk at Hacker News London on the Story of Dataloop.IO and how we got our initial customers and traction using Customer Development. David Gideh – Using Customer Development to get Traction in a Crowded Space from HN London on Vimeo. In this talk I share: What we…

Using Customer Development to get Traction in a Crowded Space

Artificial Intelligence (AI) is like Fusion, its always 30 years away. The dream of building computers that are as intelligent (if not more) than we are is still a long way off, but there have been some recent changes that make several experts in the field more bullish that maybe this time, it really is…

The Future of Enterprise: Artificial Intelligence

This blog is a follow up to my previous blog on The New Instability and the Future of Enterprise, and was inspired by Daniel Hulme’s General Assembly class on Big Data to Big Wisdom. There’s a lot of hype at the moment about Big Data, and how it will revolutionize the Enterprise. As a result…

The Future of Enterprise: Big Data