Remove AWS Remove compliance Remove Data Remove Headcount
article thumbnail

The 9 best tools for your early-stage startup tech stack

Intercom, Inc.

This is especially important for small teams, where you need to operate at a scale far beyond your headcount (without burning out your team by working around the clock). With the right integrations, you can automate workflows, share data between tools to keep things up to date, and create clearer, more efficient processes.

Scale 163
article thumbnail

Clouded Judgement 3.22.24 - ERR vs ARR and the Conundrum of AI Revenue Streams Today

Clouded Judgement

This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. ” They’ll look at things like cost, scalability, compliance, etc. Headcount planning, budgeting, fundraising, etc can often be largely based on a top line plan. Do you have ARR or ERR?

AI 183
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Altitude 2019 Recap: SaaSOps Is a Thing

BetterCloud

Much to our attendees’ delight, he also unveiled a whopping 32 new integrations to support SaaS apps like Zoom, Atlassian, DocuSign, GitHub, OneLogin, PagerDuty, AWS, Tableau, Duo, Splunk, Datadog, and more. Be able to explain in layman’s terms where all that data lives, for compliance reasons. How can you unstitch them?

Scale 45
article thumbnail

Altitude 2019 Recap: SaaSOps Is a Thing

BetterCloud

Much to our attendees’ delight, he also unveiled a whopping 32 new integrations to support SaaS apps like Zoom, Atlassian, DocuSign, GitHub, OneLogin, PagerDuty, AWS, Tableau, Duo, Splunk, Datadog, and more. Be able to explain in layman’s terms where all that data lives, for compliance reasons. How can you unstitch them?

Scale 40
article thumbnail

When Does Open Source Make Sense for a Business?

OpenView Labs

Functionally, it’s the same as running a data center, and the customer still shoulders the burden of running the infrastructure. ” A data scientist or product analyst might be more towards the middle, as they probably understand SQL or maybe even some statistical languages, or they use Python.