ForAllSecure
SEPTEMBER 7, 2022
There are many tools that can be used to to fill in this gap, by “shifting left” the testing of APIs, using inputs that are meant to elicit insecure or unexpected behavior. One of these tools is ForAllSecure’s Mayhem for API. Another tool in this space is OWASP ZAP. Comparing the Tools. git clone [link].
ForAllSecure
SEPTEMBER 7, 2022
There are many tools that can be used to to fill in this gap, by “shifting left” the testing of APIs, using inputs that are meant to elicit insecure or unexpected behavior. One of these tools is ForAllSecure’s Mayhem for API. Another tool in this space is OWASP ZAP. Comparing the Tools. git clone [link].
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Scott Lowe
JULY 13, 2018
Bernd Malmqvist talks about Avi Networks’ software-defined load balancing solution, including providing an overview of how to use Vagrant to test it yourself. Interesting article here on Chick-Fil-A’s use of Kubernetes in their restaurants, and the tools/process they follow for establishing those clusters.
Linux Academy
JUNE 17, 2019
Ansible is an open source tool that has been backed by Red Hat since 2015. There are a few alternatives to Ansible such as Puppet, Chef, and Salt, but Ansible is often regarded as the simplest tool to use, which is very attractive for beginners. . Load Balancing Google Compute Engine Instances. Google Labs.
Scott Lowe
NOVEMBER 9, 2018
Continuing on that Envoy theme, you may find this article by Matt Klein—one of the primary authors of Envoy—helpful in understanding some of the concepts behind modern load balancing and proxying. Google’s Project Zero team posted an update on finding and exploiting Safari bugs using publicly available tools.
All Things Distributed
FEBRUARY 18, 2013
Today Amazon Web Services launched AWS OpsWorks , a flexible application management solution with automation tools that enable you to model and control your applications and their supporting infrastructure. There are also various free tools available such for example Asgard the Management and Deployment tool made available by Netflix.
Dataconomy
MAY 22, 2023
Frameworks such as TensorFlow, PyTorch, and Horovod provide higher-level abstractions and tools for implementing distributed learning algorithms. These frameworks provide the necessary tools, libraries, and infrastructure to efficiently distribute and manage the training of machine learning models across multiple machines or nodes.
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