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PRTG Catches Network Issues Before They Cause Downtime
Threshold-based alerts flag problems early, so your team can act before users notice, not after.
Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy.
Fast customizable time series web database for big data like log files
Our goal is to create the world's fastest extendable, non-transactional time series database for big data (you know, for kids)!
Log file indexing is our initial focus. For example append only ASCII files produced by libraries like Log4J, or containing FIX messages or JSON objects.
Occursions was built by a small team sick of creating hacks to remotely copy and/or grep through tons of large log files. We use it to index around a terabyte of new log data per day. You can use it too. Who doesn't have `just too many' log files?
Occursions asynchronously tails log files and indexes the individual lines in each log file as each line is written to disk so you don't even have to wait for a second after an event happens to search for it.
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POP - Persistent Objects for PHP - is a library intended to make simple ORM for the main databases existent in the market - PostgreSQL, MS SQL, Oracle and MySQL. Complete OO and making use of PDO, it also secures your project against SQL Injection