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[WEBINAR REPLAY] How to build a culture of security in your software development teams

Audacix

Building a culture of security in you software development teams is not an easy task, but its crucial if you want to minimise the chances of unforeseen cybersecurity disasters and unfortunate media appearances. How to build application security into your software development lifecycle. Would that be helpful?

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Top 10 Trends for Data in 2024

Tom Tunguz

Data Teams are Becoming Software Teams : DevOps created a movement within software development that empowers developers to run the software they wrote. Most sophisticated data teams run like software engineering teams with product requirement documents, ticketing systems, & sprints.

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10 technical strategies to avoid when scaling your startup (and 5 to embrace)

Intercom, Inc.

From premature optimization to over-engineering solutions for your product, it’s easy to get caught up in making technology decisions that slow you down instead of speeding you up. At Intercom, we’ve found success running Lambda as glue code between AWS services. The top ten technical strategies to avoid. Multi-cloud architectures.

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Run Less Software

Intercom, Inc.

by Rich Archbold, Senior Director of Engineering at Intercom. The same is true in software. In this battle, I’ve found a secret weapon hidden within one of our core engineering strategies, an idea called Run Less Software. When I say “execute”, I don’t simply mean the engineering challenges of building something.

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In the Vault: Turning Developers Into Clients With Marco Argenti From Goldman Sachs

Andreessen Horowitz

I started just with regular software development, doing software of different kinds. And so when Amazon called me and they’re like, “Hey you want to come with us and do you want to actually start the mobile services, backend business within AWS?” Because engineers they tend to start from the how.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Compute engine (query engine): Performs the actual data retrieval. The Hive engine gave us more efficient access patterns to data lake storage.

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The SaaS Balancing Act: Always Be Modernizing

CloudGeometry

The Race Toward Feature Agility The answer to remaining competitive lies in accelerating the journey from traditional forms of software development toward feature agility – finding what your customers value and figuring out how to get it into your development process faster. Optimize cloud economics and drive Business Goals.