Search Results for "records"

The Netcap (NETwork CAPture) framework efficiently converts a stream of network packets into platform-neutral type-safe structured audit records that represent specific protocols or custom abstractions. These audit records can be stored on disk or exchanged over the network, and are well-suited as a data source for machine learning algorithms. Since parsing of untrusted input can be dangerous and network data is potentially malicious, a programming language that provides a garbage-collected memory-safe runtime is used for the implementation.

...Set Server Side Encryption using AWS Key Management Service (KMS). Set Access Control List (ACL) for objects/files on the upload, copy, move. Print object contents to stdout. Select JSON records from objects using SQL expressions. Create or remove buckets. Summarize objects sizes, grouping by storage class. Wildcard support for all operations.

Fortio (Φορτίο) started as, and is, Istio’s load testing tool and later (2018) graduated to be its own open-source project. Fortio runs at a specified query per second (qps) and records an histogram of execution time and calculates percentiles (e.g. p99 ie the response time such as 99% of the requests take less than that number (in seconds, SI unit)). It can run for a set duration, for a fixed number of calls, or until interrupted (at a constant target QPS, or max speed/load per connection/thread). Fortio is a fast, small (4Mb docker image, minimal dependencies), reusable, embeddable go library as well as a command line tool and server process, the server includes a simple web UI and REST API to trigger run and see graphical representation of the results (both a single latency graph and a multiple results comparative min, max, avg, qps and percentiles graphs).

...The data is derived from a simple source file (list.txt) and rendered via a Go utility (list2md.go), so contributors can update the list with minimal friction. Because the table also records last commit times, it helps developers spot projects that are actively maintained versus ones that may be deprecated or stagnant.

...Of course, the Tigo framework also provides developers with three toolkits, binding, logger, and request, which can be used by developers to perform structural body case studies, log records, and HTTP access requests. If you have used Tornado before, then Tigo is very easy for you to get started. Tigo provides two routing methods, and developers can learn through the right-side example.

...The config interface provides a way to load application level config from any source such as env vars, file, etcd. You can merge the sources and even define fallbacks. A simple data store interface to read, write and delete records. It includes support for memory, file and CockroachDB by default.

...It uses excellent fast HTTP instead of Go's default net/http due to its lightning-fast performance. Plow runs at specified connections (option -c) concurrently and real-time records summary statistics, histogram of execution time and calculates percentiles to display on Web UI and terminal. It can run for a set duration( option -d), for a fixed number of requests(option -n), or until Ctrl-C is interrupted. The implementation of real-time computing Histograms and Quantiles using stream-based algorithms inspired by Prometheus with low memory and CPU bounds. so it's almost no additional performance overhead for benchmarking.

...Extend them however you need with Oso’s declarative policy language, Polar. Filter: Go beyond yes/no authorization questions. Implement authorization over collections too - e.g., “Show me only the records that Juno can see.” Test: Write unit tests over your authorization logic now that you have a single interface for it. Use the debugger or tracing to track down unexpected behavior. Oso lets you write policies to control who can do what in your app. Select different policies below to see how they change the permissions in the sample app on the right. ...

...You can use scanio.sh which is kind of a PoC script to mass-locate vulnerable subdomains using results from Rapid7's Project Sonar. This script parses and greps through the dump for desired CNAME records and makes a large list of subdomains to check with subjack if they're vulnerable to Hostile Subdomain Takeover. Of course, this isn't the only method to get a large amount of data to test.