Systems | Development | Analytics | API | Testing

June 2022

New Resources Reveal Benefits of ChaosSearch for FinTech Log Analytics

FinTech companies disrupt the marketplace and become successful by making it faster, more convenient, and more rewarding for users to save, borrow, or invest money with their applications and services. The financial technology space is fast-paced and competitive, but inherently high-scale - so when a FinTech company achieves strong product-market fit, there’s tremendous potential for it to quickly expand its user base and start experiencing exponential growth.

5 Best Practices for Simplifying Data Management

Businesses have been managing data for decades. Tasks like dealing with data silos, keeping data secure and preparing data to be analyzed are nothing new. What is new, however, is the scale and complexity of data management. The total volume of data that businesses manage is exponentially increasing.

Making the World's AWS Bills Less Daunting

Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs. Now he’s one of the world’s foremost experts on wrangling vast data sets and maximizing efficiency.

Managing Cloud Service Logs: Why It's Difficult and How to Simplify It

Logs are one of the three key “pillars” of observability, and cloud environments are no exception. You can’t know what’s happening in your cloud without analyzing cloud service logs, which allow you to audit and monitor workflows within your cloud. That said, cloud logging is a unique beast in certain respects.

ChaosSearch Named to DBTA 100 2022

ChaosSearch has been named to the 2022 DBTA (Database Trends and Applications) 100 list of “Companies that Matter Most in Data.” The DBTA 100 showcases forward-looking companies that are improving and expanding upon existing technologies and processes to help their customers use data more effectively. As data volumes grow and digital transformation initiatives take flight, many organizations are examining the right data architectures for them.