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How and why we spent $400K on AWS in 4 months

Baremetrics

Your application grows more complex, your customers 10x, then 100x, which means the amount of data you’re storing and moving around grows by 1000x. It distracts the team from writing new features + fixing bugs. Wait… that’s bad news. Decide how much DevOps you want in your Development. down the road.

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Moving ChartMogul to AWS and Kubernetes

Chart Mogul

A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Ultimately, we decided to go with AWS. Why move and why now?

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Intercom’s Rich Archbold on how to run less software

Intercom, Inc.

Yet competition and the exponential rate of change in software are pushing against that mission. Enter our philosophy of Run Less Software. It means reducing choices amongst engineering teams and standardizing technology, so our team can spend as much time as possible delivering value to customers.

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Best application vulnerability assessment tools for software companies (paid & free)

Audacix

A vulnerability assessment tools or virtual app scanning for your software team has become as important as your git repository or your ticket management system. API vulnerability scanner API security testing ensures business data packets that move between two software applications and ip addresses are secure.

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Using Tailscale to Access Amazon VPCs, EC2 Instances, and RDS Clusters

Crafty CTO

Inception: Direct Database Access for the Data Team Our immediate need was getting the data science team programatic access to a read replica of our production database, an Amazon RDS Postgres cluster. Our data team could’ve handled it, but the CLI interface would be an ongoing source friction and pain.

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Benn Stancil, founder of Mode, on how data science can help us make better decisions

Intercom, Inc.

The fact of the matter is that data science, as a field, is still relatively new. But as Benn points out, the future of data analysis isn’t an architecture diagram or business leaders looking at dashboards – it’s building an experience, and a very exciting one at that. I worked there for a couple years as an analyst or data scientist.

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Top 11 Security Testing Tools to Use In Your CICD Pipelines

Audacix

Table Of Contents Security testing tools are crucial in software development lifecycles because they empower you and your software teams to shift left and help your developers proactively detect and mitigate security weaknesses which can be a security threat if left unattended. AWS, Azure or GCP.