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Cliff Crosland

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Mission At Scanner, we’re committed to building the best tools in the world for teams to search and query through enormous piles of data. Whether you're debugging a distributed system, or monitoring a sprawling backend deployment for security risks, so many problems that modern engineering teams face are ultimately about sifting through giant haystacks in search of small but valuable needles. Scanner provides a magical user experience with ⚡ fast queries, allowing teams to manage massive data sets with far more ease than they can with existing tools.

We may not have colorful bikes or scooters onsite, but our team loves taking walking 1:1s to brainstorm new product features for customers (or grab boba 🧋). We also don’t have any ping pong tables, but if we did we’d probably be sitting around them dunking something tasty in zhong sauce, sharing sushi, and/or a bottle of wine together.

Magical things happen at startups < 10 people and each individual team member has a massive impact on the business. People that come to work at Scanner love working on challenging problems in a pragmatic way allowing us to move fast and ship quality products to our customers at lightning fast speed.

At Scanner, we value our time together in our San Francisco office - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. That said, we operate as a hybrid workplace to ensure our team can work in a way that best suits them.
Description Scanner is a next-gen search engine and API for logs in object storage. Scanner's cloud indexing uses S3 storage, serverless compute, and a novel indexing file format to reduce log management costs up 90% compared to traditional tools like Datadog and Splunk - all while keeping search, time series, and threat detections fast.

Scanner can be deployed into your own AWS account eliminating the need to ship logs over the public internet creating a zero-cost data transfer and no vendor lock-in.

Scanner uses its own proprietary search index system that runs on top of S3, and there’s no need to build a pipeline to transform the logs first to fit a predefined SQL table schema.

Life at Scanner

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