Monitoring OVH: 300k servers, 27 DCs and one Metrics platform

Monitoring OVH: 300k servers, 28 DCs… and one Metrics platform Horacio Gonzalez Pierre Zemb @LostInBrittany @PierreZ @LostInBrittany @PierreZ

Who are we? Introducing myself and introducing OVH @LostInBrittany @PierreZ

Horacio Gonzalez @LostInBrittany Spaniard lost in Brittany, developer, dreamer and all-around geek Flutter @LostInBrittany @PierreZ

Pierre Zemb @PierreZ Software Engineer working on distributed systems @LostInBrittany @PierreZ

OVH: A Global Leader on Cloud 200k Private cloud VMs running 1 Dedicated IaaS Europe 2018 27 Datacenters Own 15 Tbps Hosting capacity : 1.3M Physical Servers 360k Servers already deployed Netwok with 35 PoPs

1.3M Customers in 138 Countries @LostInBrittany @PierreZ 2020 50 Datacenters

OVH : Key Figures 1.3M Customers worldwide in 138 Countries 1.5 Billions euros investment over five years 28 Datacenters (growing) 350k Dedicated Servers 200k Private cloud VMs running 650k Public cloud Instances created in a month 20TB bandwidth capacity

2 500 Employees in 19 countries 18 Years of Innovation 35 Points of presence 4TB Anti DDoS capacity Hosting capacity : 1.3M Physical Servers @LostInBrittany @PierreZ

Ranking & Recognition 1st European Cloud Provider* 1st Hosting provider in Europe 1st Provider Microsoft Exchange Certified vCloud Datacenter Certified Kubernetes platform (CNCF) Vmware Global Service Provider 2013-2016 Veeam Best Cloud Partner of the year (2018) @LostInBrittany @PierreZ

Netcraft 2017 -

OVH: Our solutions Cloud Web Hosting Mobile Hosting Telecom VPS Containers ▪ Dedicated Server Domain names VoIP Public Cloud Compute ▪ Data Storage Email SMS/Fax Private Cloud ▪ Network and Database CDN Virtual desktop Serveur dédié Security Object Storage Web hosting Cloud HubiC Over theBox ▪ Licences Cloud Desktop Securities MS Oﬃce Hybrid Cloud Messaging MS solutions @LostInBrittany @PierreZ

Once upon a time… Because I love telling tales @LostInBrittany @PierreZ

This talk is about a tale… A true one nevertheless @LostInBrittany @PierreZ

And as in most tales It begins with a mission @LostInBrittany @PierreZ

And a band of heroes Engulfed into the adventure @LostInBrittany @PierreZ

They fight against mishaps And all kind of foes @LostInBrittany @PierreZ

They build mighty fortresses Pushing the limits of possible @LostInBrittany @PierreZ

And defend them day after day Against all odds @LostInBrittany @PierreZ

But we don’t know yet the end Because this tale isn’t finished yet @LostInBrittany @PierreZ

It begins with a mission Build a metrics platform for OVH @LostInBrittany @PierreZ

A long time ago… @LostInBrittany @PierreZ

A long time ago… Monitoring: Does the system works? @LostInBrittany @PierreZ

Moving from monolith to μservices App @LostInBrittany @PierreZ

Moving from monolith to μservices App App App @LostInBrittany @PierreZ

Moving from monolith to μservices App App App App @LostInBrittany @PierreZ

Moving from monolith to μservices RPXY LB App App App App @LostInBrittany @PierreZ Cache

What could go wrong? RPXY LB App App App App @LostInBrittany @PierreZ Cache

Microservices are a distributed system GOTO 2017 • Debugging Under Fire: Keep your Head when Systems have Lost their Mind • Bryan Cantrill @LostInBrittany @PierreZ

We need to have insights Observability : Understand how it works @LostInBrittany @PierreZ

OVH decided go metrics-oriented @LostInBrittany @PierreZ

A metrics platform for OVH For all OVH @LostInBrittany @PierreZ

Building OVH Metrics One Platform to unify them all, One Platform to find them, One Platform to bring them all and in the Metrics monitor them @LostInBrittany @PierreZ

What is OVH Metrics? Managed Cloud Platform for Time Series @LostInBrittany @PierreZ

OVH monitoring story We had lots of partial solutions… @LostInBrittany @PierreZ

OVH monitoring story One Platform to unify them all What should we build it on? @LostInBrittany @PierreZ

OVH monitoring story Including a really big @LostInBrittany @PierreZ

OpenTSDB drawbacks OpenTSDB RowKey Design ! @LostInBrittany @PierreZ

OpenTSDB Rowkey design flaws ● .regex. => full table scans ● High cardinality issues (Query latencies) We needed something able to manage hundreds of millions time series OpenTSBD didn’t scale for us @LostInBrittany @PierreZ

OpenTSDB other flaws ● ● ● ● ● Compaction (or append writes) /api/query : 1 endpoint per function? Asynchronous Unauthenticated … @LostInBrittany @PierreZ

Scaling OpenTSDB @LostInBrittany @PierreZ

Metrics needs First need: To be massively scalable @LostInBrittany @PierreZ

Analytics is the key to success Fetching data is only the tip of the iceberg @LostInBrittany @PierreZ

Analysing metrics data To be scalable, analysis must be done in the database, not in user’s computer @LostInBrittany @PierreZ

Metrics needs Second need: To have rich query capabilities @LostInBrittany @PierreZ

Enter Warp 10… Open-source Time series Database @LostInBrittany @PierreZ

More than a Time Series DB Warp 10 is a software platform that ● Ingests and stores time series ● Manipulates and analyzes time series @LostInBrittany @PierreZ

Manipulating Time Series with Warp 10 A true Time Series analysis toolbox ○ Hundreds of functions ○ Manipulation frameworks ○ Analysis workflow @LostInBrittany @PierreZ

Manipulating Time Series with Warp 10 A Time Series manipulation language WarpScript @LostInBrittany @PierreZ

Did you say scalability? From the smallest to the largest… @LostInBrittany @PierreZ

More Warp 10 goodness ● Secured & multi tenant ● Synchronous (transactions) ● In memory Index ● Better Performance ● No cardinality issues ● Better Scalability ● Lockfree ingestion ● Versatile ● WarpScript Query Language (standalone, distributed) ● Support more data types @LostInBrittany @PierreZ

OVH Observability Metrics Platform @LostInBrittany @PierreZ

Building an ecosystem From Warp 10 to OVH Metrics @LostInBrittany @PierreZ

What protocols should we support? Who must do the effort? @LostInBrittany @PierreZ

Open source monitoring tools @LostInBrittany @PierreZ

Open source monitoring tools Why choose? Let’s support all of them! @LostInBrittany @PierreZ

Metrics Platform @LostInBrittany @PierreZ

Metrics Platform graphite influx https:// opentsdb .<region>.metrics.ovh.net prometheus Warp10 tsl … @LostInBrittany @PierreZ

TSL select(“cpu.usage_system”) .where(“cpu~cpu[0-7]*”) .last(12h) .sampleBy(5m,max) .groupBy(mean) .rate() github.com/ovh/tsl @LostInBrittany @PierreZ

Metrics Live In-memory, high-performance Metrics instances @LostInBrittany @PierreZ

In-memory: Metrics live millions of writes/s @LostInBrittany @PierreZ

In-memory: Metrics live @LostInBrittany @PierreZ

Monitoring is only the beginning OVH Metrics answer to many other use cases @LostInBrittany @PierreZ

Graveline rack’s temperature @LostInBrittany @PierreZ

Even medical research… Metrics’ Pattern Detection feature helped Gynaecology Research to prove patterns on perinatal mortality @LostInBrittany @PierreZ

Use cases families • • • • Billing Monitoring IoT (e.g. bill on monthly max consumption) ……………………………………………..……. (APM, infrastructure,appliances,…) …..…………………………… (Manage devices, operator integration, …) …………………………………………….…………………. Geo Location (Manage localized fleets) ……..………………… @LostInBrittany @PierreZ

Use cases • • • • • • DC Temperature/Elec/Cooling map Pay as you go billing (PCI/IPLB) GSCAN Monitoring ML Model scoring (Anti-Fraude) Pattern Detection for medical applications @LostInBrittany @PierreZ

SREing Metrics With a great power comes a great responsibility @LostInBrittany @PierreZ

Metrics’s metrics 432.000.000.000 datapoints / day @LostInBrittany @PierreZ 73

Our stack overview More than 666 machines operated by 5 people >95% dedicated servers No Docker, only SystemD Running many Apache projects: ○ Hadoop ○ HBase ○ Zookeeper ○ Flink ● And Warp 10 ● ● ● ● @LostInBrittany @PierreZ

Our biggest Hadoop cluster 200 datanodes ~60k regions of 10Gb 2.3 PB of capacity 8.5Gb/s of bandwidth 1.5M of writes/s 3M of reads/s @LostInBrittany @PierreZ

Hadoop need a lot of @LostInBrittany @PierreZ

Warp10: distributed overview @LostInBrittany @PierreZ

Hadoop nodes Most of the nodes are the following: ● ● ● 16 to 32 cores 64 to 128 GB of RAM 12 to 16 TB But, we also have some huge nodes: ● ● ● 2x 20 cores (xeon gold) 320 GB of RAM 12x 4TB of Disk @LostInBrittany @PierreZ

Warp10 nodes Ingress (cpu-bound): ● ● 32 cores 128 GB of RAM ● ● Egress (cpu-bound): ● ● 32 cores 128 GB of RAM Directory (ram-bound): 48 cores 512 GB of RAM Store (cpu-bound): ● ● 32 cores 128 GB of RAM @LostInBrittany @PierreZ

Why you should care? @LostInBrittany @PierreZ

Why you should care? (>30s) @LostInBrittany @PierreZ

The only way to optimize: measure Logs Metrics @LostInBrittany @PierreZ

Monitoring JVM with metrics @LostInBrittany @PierreZ

Tuning G1 is hard @LostInBrittany @PierreZ

Our programming stack ● We mostly use garbage collected languages as ○ Go ○ Java ○ JavaScript @LostInBrittany @PierreZ

Our programming stack However, we are using non-garbage collected languages as Rust when needed @LostInBrittany @PierreZ

Our friends for µservices @LostInBrittany @PierreZ

We open-source Code contribution: ● ● ● ● ● ● https://github.com/ovh/beamium https://github.com/ovh/noderig https://github.com/ovh/tsl https://github.com/ovh/ovh-warp10-datasource https://github.com/ovh/ovh-tsl-datasource … Involved in: ● ● ● ● Warp10 community Apache Hbase/Flink development Prometheus/InfluxData discussions TS Query Language Working group @LostInBrittany @PierreZ

Conclusion That’s all folks! @LostInBrittany @PierreZ