Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Monitor and troubleshoot transactions in complex distributed systems
.... It is used for monitoring and troubleshooting microservices-based distributed systems. OpenTracing compatible data model and instrumentation libraries include Go, Java, Node, Python, C++ and C#. Jaeger uses consistent upfront sampling with individual per service/endpoint probabilities and it has multiple storage backends: Cassandra, Elasticsearch, memory.
Glances is an open source, cross-platform monitoring tool that aims to provide a significant amount of monitoring information through a curses or Web-based interface. Depending on the size of the user interface, this information can then dynamically adapt.
Glances can work in client/server mode, and is also capable of remote monitoring. All systems statistics can be exported to files or external time/value databases.
Glances gets information from your system through various libraries,...
Job Monarch is an addon to the Ganglia Monitoring System that provides batch job monitoring and archiving plus a graphical overview of clusters and assorted batch systems. Fully supported batch system: Torque, PBS and SLURM. Experimental: LSF, SGE
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Network monitoring tool, written in Python, designed to harvest status data from a list of clients and present that data to anyone who wishes to see it via a web browser.
DPytHOS is a means for administrators of large networks to both
monitor and manage the servers under their control.
DPytHOS is implemented in python and uses a generic database
back-end (with MySQL supported and MS-SQL 2000 supported via
XML)