Here at Sync we are always trying to learn and optimize complex cloud infrastructure, with the goal to help more knowledge to the community. In our previous blog post we outlined a few high level strategies companies employ to squeeze out more efficiency in their cloud data platforms. One very popular response from mid-sized to
Jeffrey Chou
Blog, Case Study
Here at Sync, we’ve spoken with companies of all sizes, from some of the largest companies in the world to 50 person startups who desperately need to improve their cloud costs and efficiencies for their data pipelines. Especially in today’s uncertain economy, companies worldwide are implementing best practices and utilizing SaaS tools in an effort
Jeffrey ChouBlog
What are we building? At Sync we’re building something that is really hard. We’re trying to disrupt a $100B industry where some of the world’s biggest companies live. On top of that, we’re attacking a layer in the tech stack that is mired in complexity, history, and evolution. So why do we think we’re going
Jeffrey ChouBlog
Sync Computing presents a new kind of scheduler capable of automatically optimizing cloud resources for data pipelines to achieve runtime, cost, and reliability goals Here at Sync, we recently launched our Apache Spark Autoutuner product, which helps people optimize their EMR and Databricks clusters on AWS. Turns out, there’s more on the roadmap for us
Jeffrey ChouBlog
The case for Sync, and why companies need our solution.
Suraj BramhavarBlog
