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This is a list of what it currently monitors: CPU usage, interrupts, softirqs, frequency, total and per core, CPU states Memory RAM, swap and kernel memory usage, KSM (Kernel Samepage Merging), NUMA Disks per disk: I/O, operations, backlog, utilization, space, software RAID (md) Network interfaces per interface: bandwidth, packets, errors, drops IPv4 networking bandwidth, packets, errors, fragments, tcp: connections, packets, errors, handshake, udp: packets, errors, broadcast: bandwidth, packets, multicast: bandwidth, packets IPv6 networking bandwidth, packets, errors, fragments, ECT, udp: packets, errors, udplite: packets, errors, broadcast: bandwidth, multicast: bandwidth, packets, icmp: messages, errors, echos, router, neighbor, MLDv2, group membership, break down by type Interprocess Communication – IPC such as semaphores and semaphores arrays netfilter / iptables Linux firewall connections, connection tracker events, errors Linux DDoS protection SYNPROXY metrics fping latencies for any number of hosts, showing latency, packets and packet loss Processes running, blocked, forks, active Entropy random numbers pool, using in cryptography NFS file servers and clients NFS v2, v3, v4: I/O, cache, read ahead, RPC calls Network QoS the only tool that visualizes network tc classes in realtime Linux Control Groups containers: systemd, lxc, docker Applications by grouping the process tree and reporting CPU, memory, disk reads, disk writes, swap, threads, pipes, sockets – per group Users and User Groups resource usage by summarizing the process tree per user and group, reporting: CPU, memory, disk reads, disk writes, swap, threads, pipes, sockets Apache and lighttpd web servers mod-status (v2.2, v2.4) and cache log statistics, for multiple servers Nginx web servers stub-status, for multiple servers Tomcat accesses, threads, free memory, volume web server log files extracting in real-time, web server performance metrics and applying several health checks mySQL databases multiple servers, each showing: bandwidth, queries/s, handlers, locks, issues, tmp operations, connections, binlog metrics, threads, innodb metrics, and more Postgres databases multiple servers, each showing: per database statistics (connections, tuples read – written – returned, transactions, locks), backend processes, indexes, tables, write ahead, background writer and more Redis databases multiple servers, each showing: operations, hit rate, memory, keys, clients, slaves couchdb reads/writes, request methods, status codes, tasks, replication, per-db, etc mongodb operations, clients, transactions, cursors, connections, asserts, locks, etc memcached databases multiple servers, each showing: bandwidth, connections, items elasticsearch search and index performance, latency, timings, cluster statistics, threads statistics, etc ISC Bind name servers multiple servers, each showing: clients, requests, queries, updates, failures and several per view metrics NSD name servers queries, zones, protocols, query types, transfers, etc. We improved the uptime calculation method, it is a lot more accurate now. The tool can also react when a server is available again.
It is checked for possible viruses and is proven to be 100% clean and safe. Thus it only makes sense to run it on your desktop. The Custom monitor no longer sends “Hellonn” after connecting. You can also send text to the server and examine the contents of the reply. Johann on Can’t you just use a “not equal” operator?
Pa Server monitor is used as it can call my cell phone over dial up. Network news, trend analysis, product testing and the industryâs most important blogs, all collected at the most popular network watering hole on the Internet . It has been tested on: After installation, you can interact with netdata using and web dashboards.