AWS Startups Blog

How to GitOps Your Infrastructure

With competition at an all time high, it’s critical that startups deliver technical features quickly without compromising quality or security. CLEAR, a biometric security startup popular at U.S. airports, has been successful at both quality and security for their customers while running on AWS and leveraging Terraform and GitOps practices.

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Exploring Data Science With Explorium’s Or Tamir

“My career has been around startups all the way,” says Or Tamir, co-founder and COO of Explorium. “This is something I’ve always wanted to do.” Because startups have composed the foundation and the scaffolding of Tamir’s career, he views the fact he ended up co-founding and helming a project like Explorium as almost inevitable. In a way, it was a logical next step: “co-founder” and “COO” were two of the only job roles in the world of startups that Tamir hadn’t yet tackled.

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END.’s New Platform Runs On AWS Fargate At Its Core

At END. we’re constantly working to improve the way our engineering department operates. Our goal is simple: to empower the team so they can get stuff done without obstruction or interference. Anything to make things easier, faster, more reliable—and if that means tinkering with some new technology along the way, even better. Until recently, deployments were one of the biggest pain points for our engineers and with a two-person DevOps team we inevitably became a massive bottleneck when it came to go-live. We knew we needed to find a better way of doing things, and as existing AWS users, AWS Fargate seemed like the natural way forward.

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A New Security Mindset for the Public Cloud

Many enterprises are adopting cloud-based strategies as they initiate new projects or migrate from older, legacy systems. To meet demanding and rapidly changing business needs, they employ frequent code releases, increasingly use containers, and process and store data for compliance. It’s an environment with a great deal of change and activity, but solutions like SIEMs and firewalls just can’t provide the level of insight required—they aren’t built for automation or scale.

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