A fast PostgreSQL Log Analyzer
postgresql perfomance tuning sql logPlease cite our JMLR paper [bibtex]. Some parts of the package were created as part of other publications. If you use these parts, please cite the relevant work appropriately. An overview of all mlr related publications can be found here.
machine-learning data-science tuning cran r-package predictive-modeling classification regression statistics r survival-analysis imbalance-correction tutorial mlr learners hyperparameters-optimization feature-selection multilabel-classification clustering stackingNew to MLJ? Start here. Wanting to integrate an existing machine learning model into the MLJ framework? Start here.
data-science machine-learning statistics pipeline clustering julia pipelines regression tuning classification ensemble-learning predictive-modeling tuning-parameters stackingRun SQL statements in SQL Azure (or SQL Server) and capture performance metrics of your SQL statements (reads, writes, CPU...) against multiple databases. Run your statements in parallel, view performance results side-by-side and export to Excel for further analysis.
performance-analysis performance-testing sql-azure sql-server sql-server-2008 tuningThis is the source for the official SUSE Linux Enterprise and openSUSE Leap documentation. Released versions of the SLE documentation are published at https://www.suse.com/documentation/, the openSUSE Leap documentation can be found at http://doc.opensuse.org/.
suse documentation enterprise opensuse admin deployment tuning security ec2 gnome security-experts deployments docker virtualization kgraft portus hardening storageThis is a fully developed Nginx configuration ready for deployment in production environments. It is pre-configured to be scalable, efficient, and reliable. @carlbennett wanted an nginx configuration that was both secure and modular enough that it could be put on any server, with minor tuning to just a few settings to make it work anywhere. And thus, this configuration was created.
nginx nginx-configuration tuning centos fedora configuration configIf available postgresqltuner.pl will use standard PostgreSQL variables like PGHOST, PGPORT, PGDATABASE, PGUSERNAME, and password from ~/.pgpass file. When using it remotly, postgresqltuner.pl will use ssh to collect OS informations. You must configure ssh to connect to remote host with private key authentication.
postgresql docker tuning postgresql-database postgres ssh mem-bufferBest Practice is to check the code against either the md5sums or sha256sums (or both) before execution of the code. If the md5sums or sha256sums do not match, then changes have been made and its untested, so do not proceed until they match.
apache tuning reporting troubleshooting apache2 httpdtimescaledb-tune is a program for tuning a TimescaleDB database to perform its best based on the host's resources such as memory and number of CPUs. It parses the existing postgresql.conf file to ensure that the TimescaleDB extension is appropriately installed and provides recommendations for memory, parallelism, WAL, and other settings. At the end, your postgresql.conf will be overwritten with the changes that you accepted from the prompts.
postgresql timescaledb tuningThese sqlplus scripts are for Oracle Database performance optimization & troubleshooting. Most of the scripts should be runnable directly from SQL Developer too.
oracle database performance tuning troubleshooting sql scripts tools dbaAll interesting code lives at lib/LibLibreTuner.
mazda engine-tuning tuning cars ecu datalogging obdii j2534 passthru car-hackingThe utility adjusts system parameters such as kernel parameters and resource limits to allow running various SAP solutions at satisfactory performance. The utility is first made available on SP2 release of SLES4SAP 12, and it can be used in place of sapconf. The utility is not yet officially released for ordinary SLES, though it may also function on SLES.
sap suse os tuning sap-hana optimiser sles sap-solutions sap-netweaverThis Chef cookbook creates a generic MySQL server configuration, presumably more optimized for your current machine than the default configuration. Of course, depending on your application your requirements may change and MySQL is a really complex application. So, in some cases, this cookbook will not help you much. But hopefully may serve as a point of departure.
chef cookbook devops mysql optimization tuningGives a rough PPM estimation which can be used with something more precise like kalibrate-rtl. If the FM signal is clear (you can hear the station without static) the measurements should be repeatable to within 1ppm of each run. Radio stations do not necessarily have to keep a stable signal though and some transmitting error is allowed.
ppm tuning rtl sdr rtlsdr
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