Data DevOps as a Service Software Engineering 
Tom Tunguz
MAY 19, 2018
Infrastructure-as-a-service provided by Amazon, Google and Microsoft among others empowers applications to scale as users demand. New databases like Hadoop, Cassandra, Cockroach/Spanner, Mongo, Blockchain store and retrieve data faster, at larger scale, across geographies or in untrusted environments.
Intercom, Inc.
JANUARY 12, 2021
This post is an adaptation of a talk I recently gave at the Amazon Web Services (AWS) community day event in Dublin about the technical strategies I’ve experienced that don’t work and the ones that have helped us to grow and scale at Intercom. At Intercom, we’ve found success running Lambda as glue code between AWS services.
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Intercom, Inc.
MARCH 15, 2018
Will Larson has managed infrastructure teams for some of the biggest names in software. Today he’s leading Foundation Engineering at Stripe. Partnering with the Infrastructure, Data and Developer Productivity teams, his group builds the tools that support every Stripe engineer and keep Stripe reliable and performant.
OpenView Labs
JANUARY 27, 2021
That’s why I interviewed more than 50 developers in DevOps, DevSecOps, and generalist back-end roles about how they prefer to discover, try, and purchase software. From these conversations, I learned a ton about what devs are looking for in a software website, in developer documentation, in onboarding, and even in sales interactions.
Audacix
APRIL 3, 2023
This can help your software engineering teams to remediate vulnerabilities faster, reducing the window of opportunity for attackers. By identifying vulnerabilities that could be exploited to gain unauthorized access to sensitive data, DAST tools can help your company avoid costly fines and damage to its reputation.
Audacix
APRIL 3, 2023
This can help your software engineering teams to remediate vulnerabilities faster, reducing the window of opportunity for attackers. By identifying vulnerabilities that could be exploited to gain unauthorized access to sensitive data, DAST tools can help your company avoid costly fines and damage to its reputation.
OpenView Labs
JULY 15, 2020
When a company has no single source of truth for data, things get messy. You’ve likely seen this scenario at work before: Each team leverages a different data system to answer the same analytical question, and each team answers the question differently. And one of the best ways to do that is to develop and maintain a data warehouse.
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