The Storj Labs Blog

It’s been a wild year for everyone around the world. As 2020 comes to an end, we’re relieved and apprehensive—but mostly excited—for 2021. We just want to take a moment to thank our team, our users, and our community for supporting us and still being excited about what we’re doing. Here’s to a better year in 2021, and thanks to everyone for your support and enthusiasm—we wouldn’t be half of what we are without all of you.
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Keen watchers of STORJ wallets will notice some large transfers happening today and over the next few weeks. As you will recall, we have a series of rolling timelocks in our timelocked reserves. (See the Q3 2020 Token Balances and Flows report for details). As announced in our Q1 2020 Token Balances and Flows Report, we did not relock the tranche (tranche 7) that came unlocked at the end of Q3.
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Kubernetes and container technologies have ignited a shift from machine-driven architecture and operations to unified application-driven architecture. This shift has increased application scalability and reduced platform friction. It has also created problems for enterprises dependent on traditional backup tools for data protection. Traditional backup solutions don’t work with agile Kubernetes concepts like container-granularity, namespaces, Kubernetes configurations, backing up distributed databases, and multi-cloud operations. So, to make life easier for DevOps teams, we set out to build a modern Kubernetes backup tool using the Tardigrade toolset.
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A team of researchers in the Computer Science Department from Carnegie Mellon University School of Computer Science currently hosts a large research dataset that is quickly growing beyond the multiple TB range, and generating over 80TB of bandwidth utilization monthly. For Carnegie Mellon, this large dataset’s release will facilitate future research in the related areas and needs to be both preserved for long periods of time and highly available in a public, read-only format which global researchers can access.
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The Simulation Theory and Engineering of Advanced Materials (STEAM) Lab in the University of Maryland Baltimore County Physics Department runs a series of theoretical materials science simulations that has produced 50TB of output data (and quickly growing). The data associated with this research has the need to be both preserved for long periods of time, and highly available in a public, read-only access format so global researchers can verify, review, and replicate their published results.
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We recently sat down with James Wo, Founder and Chairman at Ethereum Classic Labs, to discuss how ETC Labs is building technology to create communities of value. James discusses compliance and regulation, regional differences in decentralization, proof-of-work vs. proof-of-stake, and many other interesting topics about the blockchain industry. Watch the Tardigrade Thursday video below to learn more about ETC Labs.
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