Cluster Autoscaling is helpful for improving cloud resource optimization, but it doesn’t eliminate application waste. Watch the video to learn how Cluster Autoscaling can't fix the entire issue of application inefficiencies, but how Pepperdata Capacity Optimizer can enhance it and ensure it utilizes resources accordingly.

Apache Spark users may believe Instance Rightsizing eliminates cluster waste—but it cannot actionably optimize Spark apps. Learn more about how Instance Rightsizing is another myth of optimizing Apache Spark workloads for peak efficiency.

In the world of software development, caching is a crucial yet complex component. What happens when one of the most popular caching systems, Redis, changes its license, sending shockwaves through the community? And how does a company pivot to not one but two solutions to ensure high-performance data management? Today's discussion dives deep into one of the most critical and often-overlooked components of the software industry—caching.

Tune in as CEO and co-founder François Baldassari reveals Memfault's newest launch: Product Analytics. With Product Analytics, you can gain an unprecedented understanding of how your devices are used in the field. So you can go beyond building reliable products to building great products your customers love and trust. While there are many existing Product Analytics solutions available, Memfault is the only Product Analytics solution designed to work within the specific constraints of an embedded device.

In this launch week special, we walk through some of our newly released Product Analytics functionality. Take a look at how to track product adoption, feature usage, feature reliability, and overall product performance.

Memfault's product team shares an inside perspective on how Product Analytics will make it easier for embedded teams to make data-driven decisions and build connected devices their customers love and trust.