Kubernetes #103
Merged
Kubernetes #103
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Collaborator
mazhurin
commented
Jan 19, 2022
mazhurin
commented
- Kubernetes deployment
- Incident detector
- Saving incidents request sets into cloud storage using s3 interface
- Streaming challenges directly to ElasticSearch
Unit tests and linting fixes.
… configuration istead of full python model names.
model_path parameter
…e.training.model refers to the full module path of the Model class(not the Enum key).
Config fix for Model
Country and Host features. Stratified sampling(parameter 'max_samples_per_host'). Support for nested features in JSON parser(geoip feature fix).
Production tuning 1
* IPCache * Two ip caches: passed and pending * Docker image with unit tests complete. * The new version of spark-iforest * Kafka is up and running * Spark secret. * spark encryption configuration added * spark ssl for ui, standalone and history config. * self.__cache.count() replaced with head() * send to kafka by partition id * bug fix in accummulator reset * disable broadcast spark.sql.autoBroadcastJoinThreshold * Sliding window in postprocesing is optional. Set sliding_window config param to zero to disable sliding_window(defaut is also zero now) * Redis merge logging count() before and after * Postprocessing: rollback to sending challenge with collect() due to performance issues * append mode for Redis write. * Fix for default 'challenged' column set to 0. * Spark worker Dockerfile * pyspark bump to 2.4.7 * Argo dockerfile moved to dockerfiles folder. * spark 2.4.6 * S3 support. Alternating cache files instead of renaming. * No s3 deletion. * use_storage option for request_set_cache * Support for using kafka for sensitive data. * Support for send_by_partitions for sensitive data. * Support for github raw configs. Support for storing sensitive data in Kafka. * Git config support with ssh. * Kubernetes client mode spark deployment. * White list urls from dashboard url link. * Whitelisting IPs in preprocessing * Whitelisting IPs without UDF Co-authored-by: Maria Karanasou <karanasou@gmail.com>
client_mode in the config. Separate clearing_house connection.
Fixing whitelist ips. Switched to left_anti join.
* Kubernetes deployment. Not finished. * Jupyter notebook with spark. * Kafka ACL
* DB reader * SQL based incident detector * Attack detection and chunks removed from AttackDetection task. * Incident detector added. * Incident Labeler class. Tested in Jupyter notebook. * Optional scaling in AnomalyModel * Some fixes in Jupyter notebooks.
start in whitelist urls fix in sending to kafka
…is being detected. (#100)
…onal low rate attack detection. (#102)
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.