I'm looking for some music to replace a metronome sometimes for extended blast beat practice. I want songs without many drum pattern changes to just play slow-ish blast beats along to to clean up my playing. Think Origin but slower haha
Hi,
as you suggested, I tried to send data directly to Elasticsearch and I could see 2 MByte/s of outgoing network traffic, sending to 3 Data Node and having 3 workers in filebeat. So I really wonder why when talking to Logstash the rate is so slow, can I do some other test in order try to understand this?
Any log output from logstash? Elasticsearch + logstash create some back-pressure also affecting filebeat. If elasticsearch can not index fast enough, logstash will be slowed down by elasticsearch. If logstash is slowed down or not fast enough to process data in time, it will block/slow down filebeat (as we don't want to drop any log lines).
Sometimes if logstash is receiving data from too many workers and filter/output pipeline takes too long, logstash might kill the filebeat->logstash connection. This can potentially slow down further processing (check logstash logs). To prevent this from happening (default 5s), set congestion_threshold in logstash beats input plugin to some very high value: -inputs-beats.html#plugins-inputs-beats-congestion_threshold.
When two tones with slightly different frequencies are presented to both ears, they interact in the central auditory system and induce the sensation of a beating sound. At low difference frequencies, we perceive a single sound, which is moving across the head between the left and right ears. The percept changes to loudness fluctuation, roughness, and pitch with increasing beat rate. To examine the neural representations underlying these different perceptions, we recorded neuromagnetic cortical responses while participants listened to binaural beats at a continuously varying rate between 3 Hz and 60 Hz. Binaural beat responses were analyzed as neuromagnetic oscillations following the trajectory of the stimulus rate. Responses were largest in the 40-Hz gamma range and at low frequencies. Binaural beat responses at 3 Hz showed opposite polarity in the left and right auditory cortices. We suggest that this difference in polarity reflects the opponent neural population code for representing sound location. Binaural beats at any rate induced gamma oscillations. However, the responses were largest at 40-Hz stimulation. We propose that the neuromagnetic gamma oscillations reflect postsynaptic modulation that allows for precise timing of cortical neural firing. Systematic phase differences between bilateral responses suggest that separate sound representations of a sound object exist in the left and right auditory cortices. We conclude that binaural processing at the cortical level occurs with the same temporal acuity as monaural processing whereas the identification of sound location requires further interpretation and is limited by the rate of object representations.
I have actually no idea which tag/subforum to use, because I have an issue with a general filebeat -> logstash -> elasticsearch pipelinem and I am not entirely sure, is this issue related to ES indexing performance, or is it logstash, filebeats, general network etc.
I've picked "beats" simply because that's my best guess so far.
What I have also noticed: when I made some tests to measure rates between filebeat and logstash (using one instance of filebeat with multiple ports of the same logstash) - I was able to reach something like 5k-6k/s rate. But now, when I use multiple filebeats - total logstash rate is the same, 5k-6k/s for all filebeats combined.
So, by logic, it should mean that bottleneck is either network or logstash itself (or the physical node where it's hosted). But:
alexandrpaliy
Yes, so far "slowness" appears when network is involved. I have tried to test general "bandwidth" between my filebeat and logstash/elasticsearch nodes with iperf3 - it went easily up to 500 Mpbs (and when filebeat sends data to LS/ES, it hardly reaches 5-10 Mbps). There are also no complex firewalls in front/behind those servers, so I have no reasons to blame network itself so far.
The heart is one of the most active muscles in the body, beating some 50 million times in a child's first year of life. It's normal for a child's heartbeat to speed up or slows down as they play, sleep and grow.
But what if your child's heartbeat seems faster or slower than it should be, or has an unusual pattern? In this article, the American Academy of Pediatrics describes normal heart rate fluctuations in kids, and what might be cause for concern.
Irregular heartbeats, also called arrhythmias, are a common reason for referral to a pediatric cardiologist. Most often, these irregularities turn out to be perfectly normal. Examples of these common but usually harmless arrhythmias include:
Respiratory sinus arrhythmia - the most common irregular heart rate in children. It's caused by the normal change in how fast blood returns to the heart when they breath in or out. The heart beats faster when they inhale, and slower when they exhale. The name arrhythmia" is actually misleading, since this variation in heartbeats occurs in all healthy children in varying degrees.
Supraventricular tachycardia (SVT) is the most common abnormal pediatric heart rhythm, affecting as many as 1 in 250 children. It happens when electrical signals in the upper chambers of the heart misfire and cause a sudden burst of abnormally fast, racing" heartbeats that last for seconds, minutes or longer. About half of children with SVT, sometimes called atrial tachycardia, are diagnosed as infants. Episodes of SVT usually go away by a child's first birthday, although it can return.
Ventricular tachycardia (VT) is a series of heartbeats starting in the lower chambers of the heart, rather than the upper chambers like normal, that cause an abnormally fast rhythm. It is rare in children, but early identification can be lifesaving since it can raise the risk of sudden cardiac arrest. One type of VT is Long QT syndrome, an inherited condition that affects an estimated 1 in 2,500 people. It causes the lower chambers of the heart to take too long to contract and release, causing a fast and chaotic heart rhythm.
Sometimes our hearts beat slower than 60 beats per minute. This is called bradycardia. For some people, like athletes and healthy, young adults, this heart rate could be normal. But for others, it could cause your brain and other organs to not get enough oxygen to function like they should.
There are really no home treatments for a slow heartbeat. Your doctor will likely need to fix the underlying cause in order to ease your symptoms and raise your heart rate so your body gets the blood it needs. Treatments could include medications or a pacemaker.
The shift is also better for consumers because fast-growth chickens don't taste as good as slow-growth chickens. The slower growing process gives intramuscular fat time to develop in the meat, producing a juicier, more flavorful chicken with a superior texture (which is why slow-growth birds are preferred by chefs).
Although tempo is described or indicated in many different ways, including with a range of words (e.g., "Slowly", "Adagio", and so on), it is typically measured in beats per minute (bpm or BPM). For example, a tempo of 60 beats per minute signifies one beat per second, while a tempo of 120 beats per minute is twice as rapid, signifying two beats every second. The note value of a beat will typically be that indicated by the denominator of the time signature. For instance, in 4
4 time, the beat will be a crotchet, or quarter note.
Instead of beats per minute, some 20th-century classical composers (e.g., Béla Bartók, Alberto Ginastera, and John Cage) specify the total playing time for a piece, from which the performer can derive tempo.[citation needed]
With the advent of modern electronics, beats per minute became an extremely precise measure. Music sequencers use the bpm system to denote tempo.[2] In popular music genres such as electronic dance music, accurate knowledge of a tune's bpm is important to DJs for the purposes of beatmatching.[3]
In classical music, it is customary to describe the tempo of a piece by one or more words, most commonly in Italian, in addition to or instead of a metronome mark in beats per minute. Italian is typically used because it was the language of most composers during the time these descriptions became commonplace.[6] Some well-known Italian tempo indications include "Allegro" (English "Cheerful"), "Andante" ("Walking-pace") and "Presto" ("Quickly"). This practice developed during the 17th and 18th centuries, the baroque and classical periods. In the earlier Renaissance music, performers understood most music to flow at a tempo defined by the tactus (roughly the rate of the human heartbeat).[7] The mensural time signature indicated which note value corresponded to the tactus.
In the Baroque period, pieces would typically be given an indication, which might be a tempo marking (e.g. Allegro), or the name of a dance (e.g. Allemande or Sarabande), the latter being an indication both of tempo and of metre. Any musician of the time was expected to know how to interpret these markings based on custom and experience. In some cases, however, these markings were simply omitted. For example, the first movement of Bach's Brandenburg Concerto No. 3 has no tempo or mood indication whatsoever. Despite the increasing number of explicit tempo markings, musicians still observe conventions, expecting a minuet to be at a fairly stately tempo, slower than a Viennese waltz; a perpetuum mobile quite fast, and so on. Genres imply tempos. Thus, Ludwig van Beethoven wrote "In tempo d'un Menuetto" over the first movement of his Piano Sonata Op. 54, though that movement is not a minuet.
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