From e34f77aed48882d74619ebd47eb799b3d8ce11d0 Mon Sep 17 00:00:00 2001 From: Fred Navruzov Date: Tue, 9 Jan 2024 11:04:24 +0100 Subject: [PATCH] docs: vmanomaly chapter hotfixes (#5583) * update link to book a demo for AD & RCA * fix invalid refs in components/model * - fix staging -> prod links - replace capitalized FAQ headers - change the section order on main page - replace :latest tag with current stable --- docs/.jekyll-metadata | Bin 2590018 -> 0 bytes docs/anomaly-detection/FAQ.md | 16 +++++------ docs/anomaly-detection/README.md | 27 +++++++++--------- .../components/models/README.md | 2 +- docs/vmanomaly.md | 6 ++-- 5 files changed, 27 insertions(+), 24 deletions(-) delete mode 100644 docs/.jekyll-metadata diff --git a/docs/.jekyll-metadata b/docs/.jekyll-metadata deleted file mode 100644 index 62b871f38b797ff5ed2ef55580f038a07f28c3e2..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2590018 zcmeFa&yS?nm8PfU7*%8m#55o@jIllJal#%0ZWXJ@7D-vTDOncPX|TH`k(PhR0FkT= zRt1?+S;~weRjmyH@4V7X18&$WVK#=LrCN(w8n7@6Tj&{h+OySPpjr9{48fTZk#+Nn z^Pcy;@t$nJi@Ru`8>oJG?)~mP-*eCX;^e>a@=sp+!@qO5|L@#8Kl|+7C$mqVpPbzL z=Gk)o@ML!W`r`Q3H*S6V-Jje(+`qF}&KI*=2VeT&@Yy$B`QYMzfA!bDeeH|C{^k3> zx$})zpBz0o{qV`N#eDBCH~+`+?8*GrH(ot|_R(Vg@a%N|_V54RH@>cj^*}diB=_a7NXS2oWa&~w5 zc($0`ee?dCU%UUt{WtHvarccM&wq6E&fE7soIiPZ^6Yqae(!8{zPxul`}pYD$@2X5 zllhOH&5zgoA9%orr;Eku6TfH1Ba`xfVqemArem&yv*U9rYzW!vw{Lkym&yLRK zM;~1-kL$sH_4)#8&tvxE<=N4_^X2o)e}De){PGE3Jna9F{_BTl^QX(#KiT}-|EwPJ z!_z0r*^}iY;P2J3PmVsDAa5Yj&ri=jJ)WOUuD_?%ZnG#`TThH(b0`;;09fuK3ty7rW^PJZ`K?1Lqsi)AEjFJrPD(F==$#q?p7nMcRRr%$GF{-@rvTE9F$Iz4`VZH1P0+xpFVeRF)*3vH8K z7PGU((foLluZqN@<>OC|emo(XOMMgLqtnwzC$kS9Esq{esOGAiQjd<$XHU+jJM)is zn$nY_=cmt>=U37?330bnctu(soqu|M?;_5p7b$kS5O;euPl4x;PtTSQPcPp3lNjZz z`HwC{{o$jxJ~>`=dAgJ+$lE-XT>s_Mme|D7<&;WrkaTG$5{VsM?jy-X*H4Pg5=A#APUwVtJ6pGua}AR$LAhrB5^6w@@=LHs4JR48*w11ZFI2#Q0f3 zH7@O-=*H5SaA-u1i$q|@=2D-U?Cv#UI&$L2vPL`sUwJ4JDm|TUiwADKbU+icGOl68jXHLTieg zp$m$fA>-(4TQ)Bk_q~g=I4g>rF+s_=PmwdAtH^;@Q{;eqaU?JmIRKk<`HD=Sz9JK7 zL6Hd+rO!S^CeWH96R@qwglQ{sU=|cPu+}@sRpfvxD{@M-6*(hj6=ZW&PQ@FQkoy$* zD%>j%^%Z%WR90jRbQSrn%PR7ZK6-Qh{Qk`-G6vQaS#w=Q*5ut4Su;&V)?k$5r6OzW z&Wfy&mLh9xltih>8fq&tMSF@&k#Y1=kvY$=B2%uZ$du_QG6fonjCr;qV_ZRzF|eq} z3Ti2`f_jRqs3?6(8BtJMkrmicWW{t888baa#w=TrF|MM>oaiVrCEAMIL$wrn0xl^s zBvlld024))MU=NM6!~=VM~~lp*k#D_dL8nlAj=#iv56l`H_?65Fx7jgefG z-Q}&3q;9)$Jx-*?vLq?vjBY4D-jU2qj7zf$y;xp9vRLELOZzl09GA8emSQhMy>P_v zOTE%WMkSVCOv2}q8F6v2p=Rvu8t%hYCemT~`2(EA7ALgfYM>}xdda;7nz^vIaT*t> za1{wmSbk{?9}^Ve%D#!EVtHW?10xz-0|E>7R`@2uOoF}DIE5kymR}lQpH8O0JLR)0 z5HaAL-m6nyBEa%NfBmvXJU@B-`Dbr+8L)gN7`S;Ts}}?8wIO9ia}x)ac~X;u1WRGp zOl-kYTr?Qvb(t(RcH4t*AW|g4GLh&=qYla%v4&TQ;}h+Qz~< zZ04&?dU0yRbTXq5OTWgv%!sSw4N7e8pQc*YXB2qQ4T_{#9;6i%T5);&D1DmgzKuWg zVsi^MFc9N16PU65(ilH0sK%uo6x~=l6Ao>YG0@NOibP8Qrk!*hQI{7?)-hdU4l_Ba1Z-y|hnrD=uv( zEX7`i%AL40kx_|dt?M$$hv$+RadEIgh`n9Y3=8>im5Fq?OI*V&wm6{;R|7@q(o60w z(9DIsjnlY5g{w$l!m>sT7dsT;%D#yn+;x%+>xXD?4G1jQTj4^2z128{S~cS9&-uzT zkpl0O&#pkkfOmSYPI-v{%Llz%-{kGq&j+_&{j)Fq!59D4fBWzM&7FhW^Z)wb<@v3H zSN3ne{Pf_?WnbrmFF&|*y_fTs4)^6l#Sv|uYF1=U0{eTPt^<4N`+HZR{m~a`Xi}JT zXwbuNBsiJwb#PlQeFRm@==aj+xl0pj@E^QvX#RKq z=Axnb#mau^U%psC@8%1Lww7IYN8a?YzLEc&v|K&+Q360@ms|YDKitgx|MGXPX8yl> zkj}h(IqS%#=dL8G-S+nl%vU_SC6Vp6QswJY&)4=L=tkm_mn%9he1=S-+wFPQRv9>l zCQSNogFC-D|_SmQrOuEg3|J?2dV!lY)NjsKAKwOtX@IU-d z8zK1C3nBP#zMBd`Ij&e%xskYJH5V`8HeaALlLYqv{P&v)``@lq^47b5d-K&TcDp@C zQ}^3^;R;bQWxK^@zD!zdq003CkFY|eDhX?+1txEO@xlkit|XdW5_joEvRy8_fp}yc z22alB{U7h0laO|M+ZKZgMY|gb%FLhB8r|0I_l*Q*CaP&*v3PhRvB_2jljU_)=Zgi% zB$(Z@=5Eq-6--*hypfo8JJ?NQf`!l|s)K*JekJeyi>sQ(Klo|-O8$4R|B;l*FZyZ8eb7k?P<;_sM&|HzBKiFZ*#+WX6^|H$trC9Cn5?$&>G$$XJ-_U`I< zu~q6k+^^+>6%*Ad5BGN|GLFA=H~H&~*B@9ctR3!~hlcCe?Q+WD{@+?j>u`U!wDsbT zRBqx0^{B)B+NnQ|{%@xebhuyJvZ#<_|IN?MbcQNSbuzb0D2MwcZC(Ej%)(%gxaBu_Ac-EIG+y9f6lyz$`8jw}oRFiCc?f4DDi?I7>E1i&Aq zNg_ zSBwnZQtAsM#-W$?X?Dk0+)h|5rBt(l1FtMiWYkLe?H~*f->SLk_=QAo-HCN*0*tPi z2l7O3CpIS1M0t1=aY9S128z<9m)zUnGe?xCQ858P5vxdGi1M3T7$vxdINY!7o9Kt~ zGzJ5Eah8vN2)PCf<@=5!3yaY1%g_OhW%CE$fAIc;4?2$YlfQHE;)t8eq1-$eDD6=xbXx7scAf!lo#5HXS=q#oA;>SCs0B1I%QxI^JN5=Kg7RgLJVBMZPG{!gwZI zq)-^kp`!F@ru!CZri|tmYGB}uWhRhDSysf)3R+`n2Ssg^#Sa`B@x~$%h@-jGH!)`B zXs*gB6{zF#!LtXS^{V65A6d9Dbqv58Qb)=ysUszu>PVRtb);aF`}zcjVm)=FNM9W( zHp)|Ky6PBsHFXTQO*#d)*L~^~ zfK5hxbtF(<9SO9cj)aQRXWvVjKx^tqz_vOPrmc>FSy0EoTJIoN9RqH&gW^}m9d|}F zuPtnK%wnvmqo4wH-1|ol_WtpMy}#(N$I0IxxCwj2z`8wZu4|8)yt_SWrfH8FjMAU9 zM~&Ut9yQXkM~#jCB<)c{ZF{6>&mJi+4hKW1$)H6 zqCG08WseH#*`uPO^eOF8L2Y|fV8<*+hY$E+2b!B z?ETe)y5g)HN^GKzQkx_=n4^3dOC%OYS=*Lel=x%~UQ)NU zu^uO~MtRvHloKO_2fueNjCHEF+ritFhXNFv{LovCQz+8Izj?6te>~XxR~^O0NhkacKa>$; 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However, anomaly scores, produced by `vmanomaly` are written back as metrics to VictoriaMetrics, where tools like [`vmalert`](/vmalert.html) can use [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) expressions to fine-tune alerting thresholds and conditions, balancing between avoiding [false negatives](https://victoriametrics.com/blog/victoriametrics-anomaly-detection-handbook-chapter-1/#false-negative) and reducing [false positives](https://victoriametrics.com/blog/victoriametrics-anomaly-detection-handbook-chapter-1/#false-positive). -## Resource Consumption of vmanomaly +## Resource consumption of vmanomaly `vmanomaly` itself is a lightweight service, resource usage is primarily dependent on [scheduling](/anomaly-detection/components/scheduler.html) (how often and on what data to fit/infer your models), [# and size of timeseries returned by your queries](/anomaly-detection/components/reader.html#vm-reader), and the complexity of the employed [models](anomaly-detection/components/models). Its resource usage is directly related to these factors, making it adaptable to various operational scales. ## Scaling vmanomaly diff --git a/docs/anomaly-detection/README.md b/docs/anomaly-detection/README.md index 44d308969..1b7daf8f0 100644 --- a/docs/anomaly-detection/README.md +++ b/docs/anomaly-detection/README.md @@ -18,6 +18,18 @@ aliases: In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, being a part of our [Enterprise offering](https://victoriametrics.com/products/enterprise/), stands as a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to not only detect anomalies but also minimize false positives, thus reducing alert fatigue. By providing simplified alerting mechanisms atop of [unified anomaly scores](/anomaly-detection/components/models/models.html#vmanomaly-output), it enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency. +## Practical Guides and Installation +Begin your VictoriaMetrics Anomaly Detection journey with ease using our guides and installation instructions: + +- **Quick Start**: Find out what is behind `vmanomaly` [here](/vmanomaly.html) +- **Integration**: Simplify the process of integrating anomaly detection into your observability ecosystem. Get started [**here**](/anomaly-detection/guides/guide-vmanomaly-vmalert.html). + +- **Installation Options**: Choose the method that best fits your environment: + - **Docker Installation**: Ideal for containerized environments. Follow our [Docker guide](../vmanomaly.md#run-vmanomaly-docker-container) for a smooth setup. + - **Helm Chart Installation**: Perfect for Kubernetes users. Deploy using our [Helm charts](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-anomaly) for an efficient integration. + +> Note: starting from [v1.5.0](./CHANGELOG.md#v150) `vmanomaly` requires a [license key](/vmanomaly.html#licensing) to run. You can obtain a trial license key [**here**](https://victoriametrics.com/products/enterprise/trial/index.html). + ## Key Components Explore the integral components that configure VictoriaMetrics Anomaly Detection: * [Get familiar with components](/anomaly-detection/components) @@ -27,17 +39,6 @@ Explore the integral components that configure VictoriaMetrics Anomaly Detection - [Writer](/anomaly-detection/components/writer.html) - [Monitoring](/anomaly-detection/components/monitoring.html) -## Practical Guides and Installation -Begin your VictoriaMetrics Anomaly Detection journey with ease using our guides and installation instructions: - -- **Quick Start Guide**: Jumpstart your anomaly detection setup to simplify the process of integrating anomaly detection into your observability ecosystem. Get started [**here**](/anomaly-detection/guides/guide-vmanomaly-vmalert.html). - -- **Installation Options**: Choose the method that best fits your environment: - - **Docker Installation**: Ideal for containerized environments. Follow our [Docker guide](../vmanomaly.md#run-vmanomaly-docker-container) for a smooth setup. - - **Helm Chart Installation**: Perfect for Kubernetes users. Deploy using our [Helm charts](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-anomaly) for an efficient integration. - -> Note: starting from [v1.5.0](./CHANGELOG.md#v150) `vmanomaly` requires a [license key](/vmanomaly.html#licensing) to run. You can obtain a trial license key [**here**](https://victoriametrics.com/products/enterprise/trial/index.html). - ## Deep Dive into Anomaly Detection Enhance your knowledge with our handbook on Anomaly Detection & Root Cause Analysis and stay updated: * Anomaly Detection Handbook @@ -53,8 +54,8 @@ Dive into [our FAQ section](/anomaly-detection/FAQ.html) to find responses to co ## Get in Touch We're eager to connect with you and tailor our solutions to your specific needs. Here's how you can engage with us: -* [Book a Demo](https://calendly.com/fred-navruzov/) to discover what our product can do. -* Interested in exploring our [Enterprise features](https://new.victoriametrics.com/products/enterprise), including Anomaly Detection? [Request your trial license](https://new.victoriametrics.com/products/enterprise/trial/) today and take the first step towards advanced system observability. +* [Book a Demo](https://calendly.com/victoriametrics-anomaly-detection) to discover what our product can do. +* Interested in exploring our [Enterprise features](https://victoriametrics.com/products/enterprise), including Anomaly Detection? [Request your trial license](https://victoriametrics.com/products/enterprise/trial/) today and take the first step towards advanced system observability. --- Our [CHANGELOG is just a click away](./CHANGELOG.md), keeping you informed about the latest updates and enhancements. \ No newline at end of file diff --git a/docs/anomaly-detection/components/models/README.md b/docs/anomaly-detection/components/models/README.md index 9b65f96a9..dcfe8056c 100644 --- a/docs/anomaly-detection/components/models/README.md +++ b/docs/anomaly-detection/components/models/README.md @@ -17,4 +17,4 @@ aliases: This section describes `Model` component of VictoriaMetrics Anomaly Detection (or simply [`vmanomaly`](/vmanomaly.html)) and the guide of how to define respective section of a config to launch the service. -Please find a guide of how to use [built-in models](/anomaly-detection/docs/models/models.html) for anomaly detection, as well as how to define and use your own [custom model](/anomaly-detection/docs/models/custom_model.html). \ No newline at end of file +Please find a guide of how to use [built-in models](/anomaly-detection/components/models/models.html) for anomaly detection, as well as how to define and use your own [custom model](/anomaly-detection/components/models/custom_model.html). \ No newline at end of file diff --git a/docs/vmanomaly.md b/docs/vmanomaly.md index 31dd1a200..0f5f83ed1 100644 --- a/docs/vmanomaly.md +++ b/docs/vmanomaly.md @@ -147,7 +147,7 @@ There are 4 required sections in config file: [`monitoring`](#monitoring) - defines how to monitor work of *vmanomaly* service. This config section is *optional*. -> For a detailed description, see [config sections](/anomaly-detection/docs) +> For a detailed description, see [config sections](/anomaly-detection/components) #### Config example Here is an example of config file that will run FB Prophet model, that will be retrained every 2 hours on 14 days of previous data. It will generate inference (including `anomaly_score` metric) every 1 minute. @@ -216,9 +216,11 @@ This will expose metrics at `http://0.0.0.0:8080/metrics` page. To use *vmanomaly* you need to pull docker image: ```sh -docker pull us-docker.pkg.dev/victoriametrics-test/public/vmanomaly-trial:latest +docker pull us-docker.pkg.dev/victoriametrics-test/public/vmanomaly-trial:1.7.2 ``` +> Note: please check what is latest release in [CHANGELOG](/anomaly-detection/CHANGELOG.html) + You can put a tag on it for your convinience: ```sh