141–150 of 227 posts
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Datadog costs more to monitor your AWS t3.medium instance than the actual instance. I asked them how them can justify that. They recommended I use "modern infrastructure" which means Docker.
Was Datadog pricing per-host? If so, then I guess running a Kubernetes cluster using the biggest available instances is the most "modern" solution to Datadog-using infrastructure.
Datadog prices are out of this world. I assumed their front facing prices were for the lone dev, so when I reached out as a company looking to integrate multiple of their products I expected a deal, and got very little compromise. I told them up front they were going to have to cut prices by 90% for us to consider them -- no budge. And they are pretty belligerent salesman, not wanting to leave me alone. After a while…
Datadog costs more to monitor your AWS t3.medium instance than the actual instance. I asked them how them can justify that. They recommended I use "modern infrastructure" which means Docker.
Earlier quoted context omitted.
Just wait until they find your personal cell phone number and try to force you into scheduling a "time that works" on the calendar.
Just keep scheduling a time that works, and then don't show up.
"Hi this is Arnie from CHewemup'n'Spitemout Staffing, is this Bob?"
"Hey Arnie, what perfect timing! I just started looking for a new opportunity, and I'm really excited to— CLICK."
Ring ring.
"This is Arnie, we seem to have been cut off."
"Oh Arnie, right, thought you hung up on me."
"No, not me, must be a bad connection. You were saying?"
"Yes, I was saying this is a great time to talk about opportunities. I just finished a major Java Enterprise JavaBeans project, and I'm— CLICK."
Lather, rinse, repeat, as the meme used to go before we called them memes.
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Just wait until they find your personal cell phone number and try to force you into scheduling a "time that works" on the calendar.
Just wait until they find your wife's phone number. (OK, this wasn't datadog, but some similarly aggressive headhunting agency went from calling me to calling my wife - who is in no way affiliated with my company - to ask her if she could tell me about how they could help me in hiring, yadda yadda.)
I worked at Coinbase until very recently and can confirm this is Coinbase They paid upfront for 3 years of usage, and yes they were burning > $20m/year on datadog
My favorite "overpriced support contract" was for an Oracle product. The cost of support was seven figures, and in the entire year a single phone call had been placed to support.
Earlier quoted context omitted.
Was Datadog pricing per-host? If so, then I guess running a Kubernetes cluster using the biggest available instances is the most "modern" solution to Datadog-using infrastructure.
It is mainly per host $15 or $23 PCM with the first 5-10 containers free then $0.002 per hour (~$1.5 PCM) per container. The insight and stats you get are quite granular and valuable however. For large scale deployments you can ignore certain containers etc.
I worked at Coinbase until very recently and can confirm this is Coinbase They paid upfront for 3 years of usage, and yes they were burning > $20m/year on datadog
So you’re saying it’s $65 million over three years? The headline seems misleading, like it’s for a single month.
20 fucking million
getting splunk with 1pb a month ingest isnt that expensive.
Datadog prices are out of this world. I assumed their front facing prices were for the lone dev, so when I reached out as a company looking to integrate multiple of their products I expected a deal, and got very little compromise. I told them up front they were going to have to cut prices by 90% for us to consider them -- no budge. And they are pretty belligerent salesman, not wanting to leave me alone. After a while…
Datadog startup journey from my perspective: 1. use Datadog, because it gets you a bunch of stuff without having to really set it up, like anomaly detection, which is poor man's monitoring & alerting 2. once you start getting product-market fit and the number of instances you run grows you notice your monthly bill going crazier and crazier and you now have something that starts to resemble an ops team -> migrate to a…
Having never heard of datadog, Wikipedia’s summary is: > Datadog is an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform. So it checks if your servers have crashed or slowed down with a nice dashboard? Any better summaries or descriptions of what it does and how coinbase would have used it?
But it was super tied to VMs at that point, and we were running a bunch of lambdas, herokus and docker instances, along with a shit tonne of AWS services, and java lumps from the 90s