6 posts
Khayyam Guliyev Duarte Nunes Ming Chen Justin Jaffray As Datadog continues to scale, the volume, complexity, and cardinality of the metrics we ingest and store steadily grow by orders of magnitude. This growth pushes the boundaries of our core timeseries database—the internal sy…
Jason Thomas Senior Staff Engineer Brandon West Rosa Trieu A few years ago, we had to scramble to find a quiet place for meetings to avoid the inevitable interruptions—leaf blowers, barking dogs, and kids shouting in the background. Today, thanks to the pervasiveness of both rem…
AJ Stuyvenberg Jordan González Building serverless applications offers developers flexibility, scalability, and a smooth development experience. But while serverless environments automatically scale with demand, they also introduce resource constraints that can impact performanc…
Julien Delange Kassen Qian Rosa Trieu When Codiga joined Datadog last year, we integrated our static analyzer product with Datadog's infrastructure to release Datadog Code Analysis. Codiga's static analyzer was written in Java and supported code analysis for Python, JavaScript,…
Christophe Nasarre The first part of this series introduced the high level architecture of the Datadog .NET continuous profiler. I discussed its initialization and the impact of the .NET runtime (CLR) version to figure out which CLR services to use. The goal of the profiler is t…
Glauber Costa When it comes to reducing cloud costs, optimizing bottlenecks in your code can only take you so far. It may be time to rethink your architecture. Perhaps you’re looking for a new architecture that takes into account the capabilities that modern hardware and softwar…