Top Node.js Metrics to Watch

Feb 24, 20165 likes9,583 views

This document discusses key metrics to monitor for Node.js applications, including event loop latency, garbage collection cycles and time, process memory usage, HTTP request and error rates, and correlating metrics across worker processes. It provides examples of metric thresholds and issues that could be detected, such as high garbage collection times indicating a problem or an event loop blocking issue leading to high latency.

Top Node.js Metrics to Watch
Stefan Thies

Agenda
- Development of node.js
performance monitoring agents
- Node.js key metrics

Metrics Aggregation
- pre-aggregation in monitoring agent
- N measures per minute -> sum, max, min, avg, rates, percentiles
- aggregation plans in Sematext backend (Java / Hadoop)
- 1 min, 5 min, 1 hour, 1 day, 1 week, 1 month
- fast queries over long periods of time and multiple dimensions 
(e.g. filters for host, process/worker id)

Store & Forward
1)Buffer Metrics when the receiver is not reachable ...
2)Re-transmit metrics, stored in NeDB

1 http.post(options, cb1)
3 http.post(options, cb2)
3 http.post(options, cb3)
4 http.post(options, cb4)
5 cb4 (err)
5 cb1
6 cb2
7 cb3
Java
Server
Threads, Thread Pool,
limited e.g. max 3
Node Client & Java Backend
async,
non-blocking
Main + Event
Loop Thread
HTTP 500
internal server error
Luke be nice to
Node.js Client

“A stupid guy called ‘Travis’, made DoS attacks!!!”
8 Minute Unit Tests for network/storage test cases
30 seconds :)

OS Metrics limited in node.js API
- Limited Memory info os.freemem(), os.totalmem()
- a few missing CPU metrics: os.cpus()
- No Disk stats in node API

How to Load the Monitoring Agent?
OK - for Devs, but Ops don’t like to touch source code ...
Node 4.x to the rescue!  
Pre-loading modules with ‘-r’ / require

Garbage Collection
- Incremental marking and lazy sweeping
- marking ‘stop the world’
- Incremental GC cycles (scavenge)
- Full GC cycles
- What should be measured?
- Count of GC cycles
- Rate GC cycles / time
- Sum GC Time
- Released Memory (before GC - after GC)

How to get GC info?
Find GC options: node --v8-options | grep _gc
node --trace-gc --trace_gc_nvp lib/index.js
[7729:0x101804600] [I:0x101804600] 26 ms: pause=0.9 mutator=-1455940110228.4 gc=s
external=0.0 mark=0.0 sweep=0.00 sweepns=0.00 sweepos=0.00 sweepcode=0.00 sweepcell=0.00
sweepmap=0.00 evacuate=0.0 new_new=0.0 root_new=0.0 old_new=0.0 compaction_ptrs=0.0
intracompaction_ptrs=0.0 misc_compaction=0.0 weak_closure=0.0 inc_weak_closure=0.0
weakcollection_process=0.0 weakcollection_clear=0.0 weakcollection_abort=0.0
total_size_before=2360232 total_size_after=2257696 holes_size_before=32 holes_size_after=32
allocated=2360232 promoted=0 semi_space_copied=929376 nodes_died_in_new=7
nodes_copied_in_new=5 nodes_promoted=0 promotion_ratio=0.0% average_survival_ratio=90.1%
promotion_rate=0.0% semi_space_copy_rate=90.1% new_space_allocation_throughput=0
context_disposal_rate=0.0 steps_count=0 steps_took=0.0 scavenge_throughput=1180677

NPM modules for GC info
- gc-stats
- gc-profiler
- memwatch(-next)
- missing gc times
- + leak detection
- + heap diff
Native C++
modules V8
API / NAN 1.x
vs. NAN 2.x

- CPU Usage
- Memory Usage
- Disk
- I/O read/writes
- Space
- Process Metrics
- Application Metrics
- in-process monitor
Server, Process, Application Metrics

GC Metrics
GC cycles / min
< 50
GC Time
< 20 ms / min
Released Mem.
2 MB / cycle

Example - Monitoring Kibana 4.1 Node.js App
http://blog.sematext.com/2015/05/27/monitoring-kibana-4s-
node-js-app/
- 2.0 ruby server
- 3.0 HTML5 no server
- 4.0-4.2 Node Express
- > 4.3 Node Hapi.js
We run a managed  
ELK Stack / Logging SaaS

GC cycles - out of control!
GC cycles / min: 45.000 (!)
GC Time: < 10 sec / min
???
OOM Kill

Taming GC ...
GC cycles / min: 100
GC Time: < 92 ms / min
--max-old-space-size=200
GC cycles / min: 45.000 (!)
GC Time: < 10 sec / min
Update to Node.js 4.2.x

Event Loop Latency
Avg. Latency < 0,5 ms

Event Loop Latency
EventLoop Latency < 0,5 ms 3 / 15 ms !!!
3 / 15 ms !!!

Thank you!
www.npmjs.com/~megastef
www.npmjs.com/~sematext
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This document summarizes a presentation comparing Solr and Elasticsearch. It outlines the main topics covered, including documents, queries, mapping, indexing, aggregations, percolations, scaling, searches, and tools. Examples of specific features like bool queries, facets, nesting aggregations, and backups are demonstrated for both Solr and Elasticsearch. The presentation concludes by noting most projects work well with either system and to choose based on your use case.

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