Monitoring Storm Kafka Spouts using Python

kafka-logo-tallWhen running a large real-time processing system, monitoring is critical. But it does more than allow you to keep an eye on your system. During development it allows you test hypotheses about how it works, how it performs when certain parameters are changed, and takes the guessing out of working with dynamic systems.

Storm, a real-time computational framework open-sourced by Twitter, is such a system and comes with a Spout, allowing messages to be streamed from a Kafka Broker.

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mutt and Google Mail

Gmail-LogoI finally moved to mutt for my Loggly e-mail (which runs on Google Mail). After moving from e-mail client to e-mail client, I was keen to give it a try — the minimalist design and speed really appealed.

It took a little while to get it just right, but it’s up and running now. I’m pretty happy with it so far, and might consider using it for my personal Yahoo! Mail.

You can find my .muttrc file here.

New Challenges

logglyAfter almost 5 years at Riverbed Technology, it’s time for new challenges. I’ve started a new development position at Loggly in San Francisco, helping to build their Cloud-based Logging-as-a-Service platform.

I spent significant time at building systems that needed comprehensive logging support. But it’s something that developers don’t need to worry about — let others do it for you.

Why not check out Loggly for your logging and monitoring needs? And if you like building scalable, distributed, software systems, why not join us?

Eating your own dogfood

riverbed-logoDogfood testing is an effective way to increase testing, and get valuable feedback, on one’s products. It can be especially effective in the earlier stages of a product’s development, when the user base can be small. Having a forgiving — and sometimes captive — audience provides very useful feedback.

I just wrote a post for the Riverbed Blog about Dogfood testing during development of the Riverbed Cloud Portal. You can check it out here.

Philip O'Toole