Remove tag observability
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How DoorDash Migrated from StatsD to Prometheus

DoorDash Engineering

Accurate and reliable observability is essential when supporting a large distributed service, but this is only possible if your tools are equally scalable. Just when we most needed observability data, the system would leave us in the lurch. Just when we most needed observability data, the system would leave us in the lurch.

AWS 82
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A New Horizon for Data Reliability With Monte Carlo and Snowflake

Monte Carlo

It’s another thing to be able to effectively manage, govern and observe it over the long haul. Monte Carlo supports and extends this native feature by offering Snowflake users a data observability solution to detect, triage, and resolve their data quality issues. So now you have your Snowflake, dbt, and other system tags in one place.

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Cloud Analytics Powered by FinOps

Cloudera

Replication Manager, Observability, and Data Catalog are examples of tools that are part of the Control Plane suite, helping companies to leverage the cloud as their primary infrastructure or as an extension of their data centers for data analytics initiatives and projects.

Cloud 80
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The very strange way of doing Data Quality at Airbnb

François Nguyen

or why you should have a look at Data Observability ! Normally, you should clasiffy your data with a gold, silver and bronze tag based on the importance or crititicy of the data. Data Observability must be “build-in” in your data platform : any data you have will be observed.

Finance 130
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Bun: lessons from disrupting a tech ecosystem

The Pragmatic Engineer

Its top focus is performance, and according to benchmarks shared in the launch video , around 10x performance increases can be observed when building packages, running code, or handling inbound requests on a server. Bun is a backend JavaScript runtime that is an alternative to Node.js

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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Based on this reasoning, we tag all the accounts that acquire licenses very quickly as anomalous. It should be noted that the heuristics, even though work as a great proxy to embed the knowledge of security experts in tagging anomalous accounts, may not be completely accurate and they might wrongly tag accounts as anomalous (i.e.,

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How to identify your business-critical data

Towards Data Science

How to keep your critical data model definitions updated Automate as much as possible around tagging your critical data models. bronze, silver, gold) or a binary approach (e.g. critical, non-critical). Source: synq.io Source: secoda.co Here are some processes to build in quality by design.

BI 80