Welcome to the spring Bugfender newsletter! We’ve been working on the past months improving some of our SDKs, making it easier to integrate Bugfender thanks to API improvements and introducing some new features to make your debugging experience even better. Furthermore, we’ve been actively writing fresh content for our blog. Make sure you don’t miss out on our featured articles for this quarter below!
A memory leak is a situation where unused objects occupy unnecessary space in memory. Unused objects are typically removed by the Java Garbage Collector (GC) but in cases where objects are still being referenced, they are not eligible to be removed. As a result, these unused objects are unnecessarily maintained in memory. Memory leaks block access to resources and cause an application to consume more memory over time, leading to degrading system performance.
As we see more customers adopting Rookout for debugging cloud-native applications, we are not surprised to learn that a significant number of them work in a microservice environment. In the most common case among these customers, each service has its own code repository maintained by the team who develops the service.
DevOps organizations continually look for ways to accelerate DevOps productivity and expedite their time to market. Without the right integrated tools, this can be rather challenging. Read along or jump to the section that interests you most.
Chances are, your data contains information about geographic locations in some form, whether it’s addresses, postal codes, GPS coordinates, or regions that are meaningful to your business. Are you putting this data to work to understand your key metrics from every angle? In the past, you might’ve needed specialized Geographic Information System (GIS) software, but today, these capabilities are built into Google BigQuery.
A quick and easy way to speed up small queries in BigQuery (such as to populate interactive applications or dashboards) is to use BI Engine. The New York Times, for example, uses the SQL interface to BI Engine to speed up their Data Reporting Engine. To Illustrate, I’ll use three representative queries on tables between 100 MB and 3 GB — tables that are typically considered smallish by BigQuery standards.
Few people can understand the difference between theory and practice more clearly than a chess Grandmaster. Our little 64-square laboratory has space for centuries of ideas. With more moves than atoms in the solar system, my ancient boardgame has limitless complexity for the human mind—and was even enough to stump the world’s fastest computers for decades.
With the onslaught of hyperautomation, it’s easy to assume insurance is stodgy and boring. But don’t be fooled. Yes, the industry has its flaws—some of them fatal. But over the next decade, technology will revolutionize insurance more than it has in the past three decades combined.
In our latest tools guide, we wanted to gather insights from a number of real users of these two giants in the Git & version control space to help you decide between using Github or Gitlab for your latest software development project. “GitHub is a common and easy-to-use website to host code in a way that's shareable with a large number of people”, states Melanie, Content Director at KitelyTech.
Those who use data wisely have competitive advantages and more profits. As a result, companies are increasing their focus on improving their data literacy. For example, the importance of data has led companies like AppNexus1 and Chevron2 to conduct internal data science competitions to identify and hone analytical talent. But, as noted in the kickoff blog post to our series on data-driven organizations, merely having data does not ensure you have a useful interpretation of that data.
