- The Devo data analytics platform
- Getting started
- Domain administration
-
Sending data to Devo
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The Devo In-House Relay
- Installing the Devo Relay
- Configuring the In-House Relay
- Relay migration
- Sending SSL/TLS encrypted events to the Devo relay
- Relay troubleshooting tips (v1.4.2)
- Event sources
- Other data collection methods
- Uploading log files
- Devo software
-
The Devo In-House Relay
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Searching data
- Accessing data tables
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Building a query
- Data types in Devo
- Build a query in the search window
- Build a query using LINQ
- Working with JSON objects in data tables
- Subqueries
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Operations reference
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Aggregation operations
- Average (avg)
- Count (count)
- First (first)
- First not null (nnfirst)
- HyperLogLog++ (hllpp)
- HyperLogLog++ Count Estimation (hllppcount)
- Last (last)
- Last not null (nnlast)
- Maximum (max)
- Median / 2nd quartile / Percentile 50 (median)
- Minimum (min)
- Non-null average (nnavg)
- Non-null standard deviation (biased) (nnstddev)
- Non-null standard deviation (unbiased) (nnustddev)
- Non-null variance (biased) (nnvar)
- Non-null variance (unbiased) (nnuvar)
- Percentile 10 (percentile10)
- Percentile 25 / 1st quartile (percentile25)
- Percentile 5 (percentile5)
- Percentile 75 / 3rd quartile (percentile75)
- Percentile 90 (percentile90)
- Percentile 95 (percentile95)
- Standard deviation (biased) (stddev)
- Standard deviation (unbiased) (ustddev)
- Sum (sum)
- Sum Square (sum2)
- Variance (biased) (var)
- Variance (unbiased) (uvar)
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Arithmetic group
- Absolute value (abs)
- Addition, sum, plus / Concatenation (add, +)
- Ceiling (ceil)
- Cube root (cbrt)
- Division (div, \)
- Division remainder (rem, %)
- Floor (floor)
- Modulo (mod, %%)
- Multiplication, product (mul, *)
- Power (pow)
- Real division (rdiv, /)
- Rounding (round)
- Sign (signum)
- Square root (sqrt)
- Subtraction, minus / Additive inverse (sub, -)
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Conversion group
- Duration (duration)
- Format date (formatdate)
- From base16, b16, hex (from16)
- From base64, b64 (from64)
- From UTF8 (fromutf8)
- From Z85, base85 (fromz85)
- Human size (humanSize)
- Make byte array (mkboxar)
- Parse date (parsedate)
- Regular expression, regexp (re)
- Template (template)
- Timestamp (timestamp)
- To base16, b16, hex (to16)
- To base64, b64, hex (to64)
- To BigInt (bigint)
- To boolean (bool)
- To Float (float)
- To image (image)
- To Int (int)
- To IPv4 (ip4)
- To IPv4 net (net4)
- To IPv6 (ip6)
- To IPv6 compatible (compatible)
- To IPv6 mapped (mapped)
- To IPv6 net (net6)
- To IPv6 translated (translated)
- To MAC address (mac)
- To string (str)
- To string (stringify)
- To UTF8 (toutf8)
- To Z85, base85 (toz85)
- Cryptography group
- Date group
- Flow group
- General group
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Geolocation group
- Coordinates distance (distance)
- Geocoord (geocoord)
- Geographic coordinate system (coordsystem)
- Geohash (geohash)
- Geohash string (geohashstr)
- Geolocated Accuracy Radius with MaxMind GeoIP2 (mm2accuracyradius)
- Geolocated ASN (mmasn)
- Geolocated ASN with MaxMind GeoIP2 (mm2asn)
- Geolocated AS Organization Name with MaxMind GeoIP2 (mm2asorg)
- Geolocated AS owner (mmasowner)
- Geolocated City (mmcity)
- Geolocated City with MaxMind GeoIP2 (mm2city)
- Geolocated Connection Speed (mmspeed)
- Geolocated connection type with MaxMind GeoIP2 (mm2con)
- Geolocated Coordinates (mmcoordinates)
- Geolocated coordinates with MaxMind GeoIP2 (mm2coordinates)
- Geolocated Country (mmcountry)
- Geolocated Country with MaxMind GeoIP2 (mm2country)
- Geolocated ISP (mmisp)
- Geolocated ISP name with MaxMind GeoIP2 (mm2isp)
- Geolocated Latitude (mmlatitude)
- Geolocated Latitude with MaxMind GeoIP2 (mm2latitude)
- Geolocated Level 1 Subdivision with MaxMind GeoIP2 (mm2subdivision1)
- Geolocated Level 2 Subdivision with MaxMind GeoIP2 (mm2subdivision2)
- Geolocated Longitude (mmlongitude)
- Geolocated Longitude with MaxMind GeoIP2 (mm2longitude)
- Geolocated Organization (mmorg)
- Geolocated organization name with MaxMind GeoIP2 (mm2org)
- Geolocated Postal Code (mmpostalcode)
- Geolocated Postal Code with MaxMind GeoIP2 (mm2postalcode)
- Geolocated Region (mmregion)
- Geolocated Region Name (mmregionname)
- ISO-3166-1 Continent Alpha-2 Code (continentalpha2)
- ISO-3166-1 Continent Name (continentname)
- ISO-3166-1 Country Alpha-2 Code (countryalpha2)
- ISO-3166-1 Country Alpha-2 Continent (countrycontinent)
- ISO-3166-1 Country Alpha-3 Code (countryalpha3)
- ISO-3166-1 Country Latitude (countrylatitude)
- ISO-3166-1 Country Longitude (countrylongitude)
- ISO-3166-1 Country Name (countryname)
- Latitude (latitude)
- Latitude and longitude coordinates (latlon)
- Longitude (longitude)
- Parse geocoord format (parsegeo)
- Represent geocoord format (reprgeo)
- Round coordinates (gridlatlon)
- JSON group
- Logic group
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Mathematical group
- Arc cosine (acos)
- Arc sine (asin)
- Arc tangent (atan)
- Bitwise AND (band, &)
- Bitwise left shift (lshift, <<)
- Bitwise NOT (bnot, ~)
- Bitwise OR (bor, |)
- Bitwise right shift (rshift, >>)
- Bitwise unsigned right shift (urshift, >>>)
- Bitwise XOR (bxor, ^)
- Cosine (cos)
- e (mathematical constant) (e)
- Exponential: base e (exp)
- Hyperbolic cosine (cosh)
- Hyperbolic sine (sinh)
- Hyperbolic tangent (tanh)
- Logarithm: base 2 (log2)
- Logarithm: base 10 (log10)
- Logarithm: natural / arbitrary base (log)
- Pi (mathematical constant) (pi)
- Sine (sin)
- Tangent (tan)
- Meta Analysis group
- Name group
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Network group
- HTTP Status Description (httpstatusdescription)
- HTTP Status Type (httpstatustype)
- IP Protocol (ipprotocol)
- IP Reputation Score (reputationscore)
- IP Reputation Tags (reputation)
- IPv4 legal use (purpose)
- IPv6 host number (host)
- IPv6 routing number (routing)
- Is IPv4 (ipip4)
- Is Private IPv4 (isprivate)
- Is Public IPv4 (ispublic)
- Squid Black Lists Flags (sbl)
- Order group
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Packet group
- Ethernet destination MAC address (etherdst)
- Ethernet payload (etherpayload)
- Ethernet source MAC address (ethersrc)
- Ethernet status (etherstatus)
- Ethernet tag (ethertag)
- EtherType (ethertype)
- Has Ethernet frame (hasether)
- Has IPv4 datagram (hasip4)
- Has TCP segment (hastcp)
- Has UDP datagram (hasudp)
- IPv4 destination address (ip4dst)
- IPv4 differentiated services (ip4ds)
- IPv4 explicit congestion notification (ip4ecn)
- IPv4 flags (ip4flags)
- IPv4 fragment offset (ip4fragment)
- IPv4 header checksum (ip4cs)
- IPv4 header length (ip4hl)
- IPv4 identification (ip4ident)
- IPv4 payload (ip4payload)
- IPv4 protocol (ip4proto)
- IPv4 source address (ip4src)
- IPv4 status (ip4status)
- IPv4 time to live (ip4ttl)
- IPv4 total length (ip4len)
- IPv4 type of service (ip4tos)
- TCP ACK (tcpack)
- TCP checksum (tcpcs)
- TCP destination port (tcpdst)
- TCP flags (tcpflags)
- TCP header length (tcphl)
- TCP payload (tcppayload)
- TCP sequence number (tcpseq)
- TCP source port (tcpsrc)
- TCP status (tcpstatus)
- TCP urgent pointer (tcpurg)
- TCP window size (tcpwin)
- UDP checksum (udpcs)
- UDP destination port (udpdst)
- UDP length (udplen)
- UDP payload (udppayload)
- UDP source port (udpsrc)
- UDP status (udpstatus)
- Statistical group
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String group
- Contains (has, ->)
- Contains - case insensitive (weakhas)
- Contains tokens (toktains)
- Contains tokens - case insensitive (weaktoktains)
- Edit distance: Damerau (damerau)
- Edit distance: Hamming (hamming)
- Edit distance: Levenshtein (levenshtein)
- Edit distance: OSA (osa)
- Ends with (endswith)
- Format number (formatnumber)
- Hostname public suffix (publicsuffix)
- Hostname root domain (rootdomain)
- Hostname root prefix (rootprefix)
- Hostname root suffix (rootsuffix)
- Hostname subdomains (subdomain)
- Hostname top level domain (topleveldomain)
- Is empty (isempty)
- Is in (`in`, <-)
- Is in - case insensitive (weakin)
- Length (length)
- Locate (locate)
- Lower case (lower)
- Matches (matches, ~)
- Peek (peek)
- Replace all (replaceall)
- Replace first (replace)
- Shannon entropy (shannonentropy)
- Split (split)
- Split regexp (splitre)
- Starts with (startswith)
- Substitute (subs)
- Substitute all (subsall)
- Substring (substring)
- Trim both sides (trim)
- Trim the left side (ltrim)
- Trim the right side (rtrim)
- Upper case (upper)
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Web group
- Absolute URI (absoluteuri)
- Opaque URI (opaqueuri)
- URI authority (uriauthority)
- URI fragment (urifragment)
- URI host (urihost)
- URI path (uripath)
- URI port (uriport)
- URI query (uriquery)
- URI scheme (urischeme)
- URI ssp (urissp)
- URI user (uriuser)
- URL decode (urldecode)
- User Agent Company (uacompany)
- User Agent Company URL (uacompanyurl)
- User Agent Device Icon (uadeviceicon)
- User Agent Device Information URL (uadeviceinfourl)
- User Agent Device Type (uadevicetype)
- User Agent Family (uafamily)
- User Agent Icon (uaicon)
- User Agent Information URL (uainfourl)
- User Agent is Robot (uaisrobot)
- User Agent Name (uaname)
- User Agent OS Company (uaoscompany)
- User Agent OS Company URL (uaoscompanyurl)
- User Agent OS Family (uaosfamily)
- User Agent OS Icon (uaosicon)
- User Agent OS Name (uaosname)
- User Agent OS URL (uaosurl)
- User Agent Type (uatype)
- User Agent URL (uaurl)
- User Agent Version (uaversion)
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Aggregation operations
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Working in the search window
-
Generate charts
- Affinity chord diagram
- Availability timeline
- Bipartite chord diagram
- Bubble chart
- Chart aggregation
- Custom date chart aggregation
- Flame graph
- Flat world map by coordinates
- Flat world map by country
- Google animated heat map
- Google area map
- Google heat map
- Graph diagram
- Histogram
- Pew Pew map
- Pie chart
- Pie layered chart
- Punch card
- Robust Random Cut Forest chart
- Sankey diagram
- Scatter plot
- Time heatmap
- Triple exponential chart
- Voronoi treemap
- Data enrichment
- Setting up a data table
- Advanced data operations
- Use case: eCommerce behavior analysis
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Generate charts
- Managing your queries
- Best practices for data search
- Monitoring tables
-
Parsers and collectors
- About Devo tags
- Special Devo tags and data tables
-
List of Devo parsers
- Business & Consumer
- Cloud technologies
- Databases
- Host and Operating Systems
-
Network and application security
- auth.secureauth
- auth.securenvoy
- av.mcafee
- av.sophos
- box.iptables
- edr.cylance
- edr.fireeye.alerts
- edr.minervalabs.events
- endpoint.symantec
- firewall.checkpoint
- firewall.cisco firepower and vpn.cisco
- firewall.fortinet
- firewall.huawei
- firewall.juniper
- firewall.paloalto
- firewall.pfsense
- firewall.sonicwall
- firewall.sophos
- firewall.sophos.xgfirewall
- firewall.stonegate
- firewall.windows
- mail.proofpoint
- nac.aruba
- network.meraki
- network.versa
- proxy.bluecoat
- proxy.forcepoint
- proxy.squid
- uba.varonis
- vuln.beyondtrust
- vpn.pulsesecure.sa
- Network connectivity
- Web servers
- Technologies supported in CEF syslog format
- Collectors
- Activeboards
-
Dashboards
- Create a new dashboard
-
Working with dashboard widgets
- Availability timeline widget
- Chord diagram widget
- Circle world map widget
- Color key value widget
- Color world map widget
- Column chart widget
- Comparative chart widget
- Funnel widget
- Gauge meter widget
- Google heatmap widget
- Heat calendar widget
- Line chart widget
- Monitoring widget
- Pie chart widget
- Punch card widget
- Sectored pie chart widget
- Table widget
- Time heatmap widget
- Tree diagram widget
- Voronoi tree widget
- Configuring and sharing dashboards
- Alerts and notifications
- Panels
- Applications
- Tools
- Social Intelligence
- API reference
- Release notes
Deviation alert type
Overview
The deviation method triggers an alert every time an aggregated value of a single grouped element is significantly higher or lower than the median value of all the elements within the same grouping period. This alert type is similar in concept and execution to the gradient type; they both use deviations from values to trigger alerts, however, they differ in the value they use to calculate the deviation. In the case of the deviation type, it is from the median of the values in the same period while in the gradient type, it is from the analogous value of the previous period with data. See the following picture for a more visual explanation.
This type of alert could be useful when monitoring periodic tasks and their data patterns to be informed whenever the aggregated values inside a period differ too much from the frequency distribution midpoint.
What data do I need to create this alert?
To create an alert using this triggering method, your query must group events by at least one grouping key using a time-based option and add an aggregation. However, to have meaningful data for the alert, it is necessary to group by at least two keys.
- If you did not group, this alert type will not appear for you to select in the alert definition window.
- If you grouped without the necessary key or used a no time-based option, the alert variables will not appear for you to define and a message will inform you about the requirements you still need to meet.
- If you did not aggregate, you will not have the column you need for the Add a numeric column field (see the following section) and therefore you will not be able to create the alert.
Configuring the alert
After selecting this type of alert, you have to define the following variables:
- Threshold: specifies the proportions of the deviation from the median, in other words, the upper and lower bound that must be exceeded for an alert to be triggered. Write the desired number.
- Deviation calculation: specifies the method to analyze, according to the designated thresholds, the deviation from the median of the values in the same period; in other words, the way in which the threshold will be considered (either as an absolute value or as a percentage). Select the desired option.
The following formulas describe the calculations performed using absolute values or percentages to check if the alert has to be triggered. In both cases,i
represents each of the values of the grouping period.- Absolute:
abs(median of values in group) - value(i) > threshold
.
Using an absolute value means that the threshold specified will be considered as the number above and below which the alert will be triggered. For example, if the median is 100 and the threshold specified is 50 means that an alert will be triggered above 150 and below 50.
When using absolute values it is important to use a threshold that is consistent with the range of values, otherwise, you might trigger alerts constantly or hardly ever. - Percentage:
abs(median of values in group) - value(i) > threshold / 100 * median of values in group
.
Using a percentage means that the threshold specified will be considered as the percentage of the median value above and below which an alert will be triggered. For example, if the median is 200 and the threshold specified is 25 means that an alert will be triggered above 250 and below 150.
- Absolute:
- Add a numeric column: specifies an aggregation column whose values will be set against the designated threshold to trigger the alert. You can choose from any of the aggregation columns added to the query but you cannot add more than one. Drag the required column into the field below or select it on the table and click the Add selected column button.
You must add one column, otherwise, you will receive an error message prompting you to do so in order to successfully create the alert.
Using column values in the Summary and Description
The $columnName command used to display column values in the Summary and Description fields can be employed with the columns and properties below. Using a different one will not activate the command and will be interpreted as plain text.
$eventdate | You can use this column to display the moment in time at which the events that triggered the alert were received. |
Grouping columns | You can use the columns added as arguments in the grouping operation (for example, the $responseTime command will be valid only if the responseTime column is added as an argument when grouping your data). |
Aggregation columns | You can use the columns that result from the aggregation operation (for example, the $count command will be valid only if a count aggregation operation is performed and the resultant column is named as count). |
$median | Even though it is not a column, it can be used to make reference to the calculated median value from which the deviation is measured. |
Query example
In the demo.ecommerce.data
table, imagine that you want to receive an alert whenever the number of events received for client IP addresses displaying the 404 status code is 25% higher or lower than the median in every 30 minute-period.
First of all, you need to filter your query data using the Equal (eq, =) operation, group your query data by two keys using a time-based option and then aggregate it. Then, you need to open the alert definition window, select the deviation type alert and fill in all the details (pay special attention to the specific settings of this alert type).
To save time, you can copy the following query to reproduce the aforementioned example from the demo.ecommerce.data
sample table and create a deviation type alert.
from demo.ecommerce.data
where statusCode = 404
group every 30m by clientIpAddress, statusCode
every 30m
select count() as count
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