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Datadog’s $65M/year customer mystery solved

The Pragmatic Engineer

We had a large upfront bill for a client in Q1 2022 that did not recur at the same level or timing in Q1 2023. And when that's the case, we really work with customers to restructure their contracts with us. We hit an all time high in our monthly transacting users of 11.4 It evaluates rules and can trigger alerts.

AWS 304
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Time Series Forecasting: What, Why, and, How?

ProjectPro

This blog introduces the concept of time series forecasting models in the most detailed form. Next, you will find a section that presents the definition of a time series forecasting article. After that, you will explore popular time-series-forecasting models. How do you do a time series analysis?

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What is Trend Analysis in Project Management? Types & Examples

Knowledge Hut

To explain trend analysis and better understand its importance in project management , I will start this blog with my real-life example. When I was new to my role as a project manager , I encountered a problem with a particular supplier who was consistently delaying the delivery of materials, causing delays in the overall project.

Project 52
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What is Trend Analysis in Project Management? Types & Examples

Knowledge Hut

To explain trend analysis and better understand its importance in project management , I will start this blog with my real-life example. When I was new to my role as a project manager , I encountered a problem with a particular supplier who was consistently delaying the delivery of materials, causing delays in the overall project.

Project 52
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What is Expected Monetary Value (EMV)? Formula, Example, Benefits

Knowledge Hut

Driving a project through the project lifecycle is like kayaking in a wild river; imagine rowing against the currents on a valley filled with steep ebbs and high tides - doesn’t it sound scary for a moment? Well, talk to a project manager and hear them say one thing in common, “that is routine.”

Project 52
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An In-Depth Data Mesh Discussion with Zhamak Dehghani

Jesse Anderson

In 2021 I had the pleasure to first get to know and speak with Zhamak Dheghani, Director of Emerging Technologies at ThoughtWorks, in season one of the Data Dream Team series. This episode is different to others in the Data Dream Team series. The idea will have a life of its own, will get adopted, will get used and misused and evolve.

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Anomaly Detection with Machine Learning Overview

Knowledge Hut

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. The accuracy and effectiveness of anomaly detection can be improved by using machine learning techniques to automatically recognize and extract valuable features from complicated datasets.