One of the big standouts for me in the recent environment is just how much of a shock COVID-19 has been for organizations. This is because many have become complacent about their data over the past decade and they’re now exposed. As Warren Buffet said, "Only when the tide goes out do you discover who's been swimming naked." To deal with the current economic situation everyone now has to lift the lid on their organization.

Since the very beginning, Unravel Data has made it a mission to ensure customers are successful, wherever they deploy their modern data platforms. On-premises, in the cloud, and in hybrid environments, Unravel supports the full stack of data processing engines to provide data operations visibility wherever it resides.

From dealing with security concerns to production monitoring, businesses need to analyze the log data of their systems to ensure everything is functioning normally. In a computing context, a log refers to automatically produced and time-stamped documentation of events related to a particular system. Analysis of log data helps businesses comply with regulations, security policies and audits, understand online consumer behavior, and comprehend system troubleshoots.

Variables, may they be constant or dynamic, are an essential part of load testing. We already learned how to manipulate these values by extracting and re-injecting them inside one Virtual User. But what if we need to share these values between several Virtual Users ? In this blog post, I will show you just how to do that, using the MQ technology.

Speed and quality can go hand in hand, but sometimes you need a bit of tinkering to get both. Try this Bitrise setup to split tests up, run them in parallel and speed up your Android builds.

Earlier this year, we were invited to Threadup’s wonderful office space in Oakland to be one of the presenters at their quarterly Hackathon. Thredup, a fashion retail marketplace with over 35,000 brands, has been one of our key customers since 2013. We soon realized this wasn’t a normal Hackathon. This hackathon was dedicated to instrumentation and monitoring.

Google Cloud’s enterprise data warehouse BigQuery offers some flexible pricing options so you can get the most out of your resources. Our recently added Flex Slots can save you money by switching your billing to flat-rate pricing for defined time windows to add maximum efficiency. Flex Slots lets you take advantage of flat-rate pricing when it’s most advantageous, rather than only using on-demand pricing.

BigQuery has several built-in features and capabilities to help you save on costs, manage spend, and get the most out of your data warehouse resources. In this blog, we’ll dive into Reservations, BigQuery’s platform for cost and workload management. In short, BigQuery Reservations enables you to: Quickly purchase and deploy BigQuery slots Assign slots to various parts of your organization

When you use data to guide your business decision-making process, you need to continually optimize your data analytics usage to get more out of that data. Here, we’ll share some ways to be more efficient with your BigQuery usage through ups and downs and changing demands.

This blog post series will put you in the mind of a defender. In cybersecurity, being a good defender means thinking like an attacker. Part 1 of this blog will focus on understanding why service accounts are excellent targets in the mind of the bad guys, and the threats and attacks a bad guy may use. In Part 2, we’ll lay out how to mitigate the threats and defend against these attacks using the tools Snowflake Cloud Data Platform gives you.