September 22, 2022
The times of conventional utility monitoring are fading. Functions at present are not a single program, however a community of providers linked by API and RPC endpoints throughout cloud containers which are created and eliminated as wanted.
The times of conventional utility monitoring are fading. Functions at present are not a single program, however a community of providers linked by API and RPC endpoints throughout cloud containers which are created and eliminated as wanted. There’s extra knowledge coming from sources that will not persist for lengthy. Diagnosing errors turns into tougher, particularly in a disaster.
On this sponsored episode of the podcast, we spoke with Martin Mao, CEO and co-founder of Chronosphere, in regards to the elevated issue in diagnosing errors in manufacturing, particularly throughout a disaster. Advanced techniques create extra knowledge, and to paraphrase: extra knowledge, extra issues. Chronosphere needs to do extra than simply provide you with observability into your issues; they need to assist automate the response.
Present notes
Like other people we’ve talked to on the podcast, Chronosphere was born out of labor pioneered at Uber. When you possibly can’t discover options that can assist you scale, typically it’s a must to construct them.
Every thing in Chronosphere was constructed from scratch, from the ingestion tier to the question layer. In the event you’re going to construct one thing cloud native from the bottom up, the clear selection for the workforce was Go.
Cloud native observability modifications the best way builders work together with their code in manufacturing. Infrastructure is extra complicated, dev and take a look at environments are gone, and knowledge will increase massively whereas knowledge sources are extra ephemeral.
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