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Barak Fargoun
CTO and Co-Founder @ Stealth
Barak Fargoun is a seasoned professional in the fields of Computer Security, Software Engineering, and Embedded Programming.
He obtained a BA in Computer Science from the esteemed Technion - Israel Institute of Technology, honing his skills and knowledge in the realm of technology.
With a rich and diverse professional background, Barak Fargoun has held numerous key positions with reputable organizations, showcasing his expertise and leadership abilities.
Currently, he serves as the CTO and Co-Founder at Stealth, where his innovative and strategic vision drives the company's success and growth.
Prior to his current role, Barak Fargoun contributed significantly as a Senior Staff Software Engineer at Google, demonstrating his proficiency in developing cutting-edge software solutions.
His tenure at Google also included roles as a Staff Software Engineer and Senior Software Engineer, solidifying his expertise in software development and engineering.
Before his time at Google, Barak Fargoun honed his skills at Intel Corporation, where he served as a Developer, Architect, and contributed as the Chief Architect.
Additionally, he gained valuable experience at Neocleus, where he held various positions including Virtualization Team Leader, Researcher, and Software Engineer.
Barak Fargoun's wealth of experience and expertise make him a standout professional in the tech industry, with a strong background in computer security, software engineering, and embedded programming.
Highlights
How a Single Terraform Line Saved Us Over $1,500 Per Month :)
While reviewing our monthly AWS bill last month, I noticed a sudden increase in our CloudWatch costs to over $1,500. Curious, I investigated further and found that the culprit was “MetricStorage:AWS/Logs-EMF.” After doing some research and consulting with experts, I realized that we had unintentionally enabled AWS CloudWatch metrics, leading to this additional cost. The more metrics we saved, especially during scaling operations, the more our costs skyrocketed.
Since we already use Datadog for monitoring our production environment, this expenditure was completely unnecessary. I quickly wrote a one-liner PR (well, three lines including the comment) to disable AWS CloudWatch metrics in our Terraform code and pushed the change to production. As expected, our daily CloudWatch costs dropped by about $50, which amounts to an estimated annual saving of $18,000!
Don’t underestimate the power of a single line in Terraform :) and always double-check when enabling features in your AWS Terraform setup.
Snowflake seems to be making big steps towards building data quality components natively within Snowflake.
In this article, i'm showing a step by step guide on how anyone can easily implement a data quality solution using Snowflake DMFs (Data Metric Functions), released few months ago. In 10 minutes, you can try it out for yourself, and get Snowflake to send you email notifications whenever a new row in a table violates your validation rules. Try it out for yourself!
This built-in support within Snowflake for data quality has a few major advantages over common third party tools, such as:
- Seamless integration
- Real time validation
- Security - no need to let other vendors read your data and become data processors
👉 https://lnkd.in/dy-3dhXH
#DataQuality #Snowflake
