In large organizations (OEMs), running SPEC-CPU benchmarks is a time-consuming affair. Multiple SKUs and various different chips lead to a bunch of different combinations to

One of the main reasons for using a commercial compiler is for attaining better binary performance. But how can we achieve the highest performance? By

Successful performance engineering teams support their peers in identifying and solving performance challenges and in meeting their performance goals. The role of performance engineers is

Go has become increasingly popular in recent years, as it has successfully combined the simplicity and productivity of Python and the power of C. It

During these turbulent times, one of the main challenges we are all facing is how to cope with working at home, rather than going to

Optimizing NGINX is not easy, let alone coupling it with resource sizing in Kubernetes. The solution? Automated tuning. This blog post is based on a

[et_pb_section fb_built=”1″ _builder_version=”4.4.7″][et_pb_row _builder_version=”4.4.7″][et_pb_column type=”4_4″ _builder_version=”4.4.7″][et_pb_text admin_label=”Text” _builder_version=”4.4.7″] Every DevOps or performance engineer today is aware of the concept of performance tuning. But performance tuning

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”3.22″][et_pb_row admin_label=”row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”4.4.6″] Virtually all computing systems rely in one-way or another on

Optimizing NGINX is challenging, let alone coupling it with resource sizing in Kubernetes. The solution? Automated tuning! This blog post is based on a webinar

Optimizing NGINX is a challenging task, let alone coupling it with resource sizing in Kubernetes. The solution? Automated tuning! This blog post is based on