Monitoring OVH 300k servers, 27 DCs... and one Metrics platform Horacio Gonzalez Kevin Georges Steven Le Roux @LostInBrittany @0xd33d33 @StevenLeRoux Monitoring @ovh

Who are we? Introducing ourselves and introducing OVH Monitoring @ovh

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

Kevin Georges @0xd33d33 Engineering Manager Working on Observability and Kubernetes Distributed system addict Warp10 / HBase / HDFS / Zookeeper / ETCD / Kubernetes Monitoring @ovh

Steven Le Roux @StevenLeRoux Principal Engineer From networking to Distributed Unconventional life rider Monitoring @ovh

OVH : Key Figures 1.3M Customers worldwide in 138 Countries 1.5 Billions euros investment over five years 30 Datacenters (growing) 350k Dedicated Servers 200k Private cloud VMs running 650k Public cloud Instances created in a month 15TB bandwidth capacity

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

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 2020 50 Datacenters

1.3M Customers in 138 Countries Monitoring @ovh

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) Monitoring

Netcraft 2017 - @ovh

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 Monitoring @ovh

Once upon a time... Because we love telling tales Monitoring @ovh

This talk is about a tale... A true one nevertheless Monitoring @ovh

And as in most tales It begins with a mission Monitoring @ovh

And a band of heroes Engulfed into the adventure Monitoring @ovh

They fight against mishaps And all kind of foes Monitoring @ovh

They build a mighty citadel Pushing the limits of Physics Monitoring @ovh

And defend them day after day Against all odds Monitoring @ovh

But we don't know yet the end Because this tale isn't finished yet Monitoring @ovh

It begins with a mission Build a metrics platform for OVH Monitoring @ovh

It began with a mission Build a metrics platform for OVH Monitoring @ovh

Why do we need metrics? To make better decisions by using numbers Monitoring @ovh

Why do we need metrics? We need to make better decisions about our code Monitoring @ovh

Why do we need metrics? We want our code to add value Monitoring @ovh

Why do we need metrics? Code adds value when it runs not when we write it Monitoring @ovh

Why do we need metrics? We need to know what our code does when it runs Monitoring @ovh

Why do we need metrics? We can’t do this unless we measure it Monitoring @ovh

Why do we need metrics? We have a mental model of what our code does Monitoring @ovh

Why do we need metrics? This representation can be wrong Monitoring @ovh

Why do we need metrics? We can’t know until we measure it Monitoring @ovh

Find the bottleneck ‘’ “The app is slow.” - User Monitoring @ovh

Find the bottleneck ‘’ “The app is slow.” - User “The page takes 500ms!” - Ops Monitoring @ovh

Find the bottleneck ? SQL Query? Template Rendering? Session Storage? Monitoring @ovh

Find the bottleneck ? We don't know Monitoring @ovh

Find the bottleneck

With observability: SQL Query………………………....53ms Template Rendering……….1ms Session Storage………......315ms Monitoring @ovh

Find the bottleneck

With observability: SQL Query………………………....53ms Template Rendering……….1ms Session Storage………......315ms Monitoring @ovh

Why do we need metrics? We improve our mental model by measuring what our code does Monitoring @ovh

Why do we need metrics? We use our mental model to decide what to do Monitoring @ovh

Why do we need metrics? A better mental model makes us better at deciding what to do Monitoring @ovh

Why do we need metrics? Better decisions makes us better at generating value Monitoring @ovh

Why do we need metrics? Measuring make your App better Monitoring @ovh

It began with a mission Build a metrics platform for OVH Monitoring @ovh

A metrics platform for OVH Monitoring @ovh

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 Monitoring @ovh

What is OVH Metrics? Managed Cloud Platform for Time Series Monitoring @ovh

OVH monitoring story We had lots of partial solutions... Monitoring @ovh

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

OVH monitoring story First try Monitoring @ovh

OpenTSDB drawbacks OpenTSDB RowKey Design ! Monitoring @ovh

OpenTSDB Rowkey design flaws ● .regex. => full table scans ● Cardinality issues (Query latencies) Monitoring @ovh

OpenTSDB other flaws ● ● ● ● ● Compactions (or append writes) /api/query : 1 endpoint per function? Asynchronous Unauthenticated ... Monitoring @ovh

Scaling OpenTSDB Monitoring @ovh

Metrics needs First need: To be massively scalable Monitoring @ovh

Analytics is the key to success Fetching data is only the tip of the iceberg Monitoring @ovh

Analysing metrics data To be scalable, analysis must be done in the database, not in user's computer Monitoring @ovh

Metrics needs Second need: To have rich query capabilities Monitoring @ovh

Enter Warp 10... Open-source Time series Database Monitoring @ovh

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

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

Manipulating Time Series with Warp 10 A Time Series manipulation language WarpScript Monitoring @ovh

Did you say scalability? From the smallest to the largest... Monitoring @ovh

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 Monitoring @ovh

Metrics Data Platform + + Monitoring @ovh

Metrics Data Platform Monitoring @ovh

Leverage an ecosystem and choose the right one... Monitoring @ovh

Multi-protocol Why to choose? We need them all! Monitoring @ovh

Open source monitoring tools Monitoring @ovh

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

Metrics Platform Monitoring @ovh

Metrics Platform graphite influx https:// opentsdb .<region>.metrics.ovh.net prometheus warp10 ... Monitoring @ovh

Metrics Live In-memory, high-performance Metrics instances Monitoring @ovh

In-memory: Metrics live +120 million of writes/s Monitoring @ovh

In-memory: Metrics live Monitoring @ovh

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

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) ….....………………... Monitoring @ovh

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 Monitoring @ovh

Conclusion That's all folks! Monitoring @ovh

SREing Metrics With a great power comes great responsibility Monitoring @ovh

Metrics' own metrics 432 000 000 000 datapoints / day Monitoring @ovh

Metrics' own metrics 10 Tb / day Monitoring @ovh

Metrics' own metrics 5 000 000 dp/s Monitoring @ovh

Metrics' own metrics 500 000 000 series Monitoring @ovh

Our clusters size GRA: BHS: ● 150 nodes ● 2 PB ● 1.1 Gbps ● 30 nodes ● 400 TB ● 120 Mbps Monitoring @ovh

Our cluster architecture Warp10 Ingress Warp10 Warp10 Directory Directory Kafka Warp10 Warp10 Egress Egress Warp10 Warp10 Store Store Region server + Datanode Region server + Datanode Region server + Datanode Monitoring Region server + Datanode @ovh

Detecting errors Before it's too late Monitoring 89 @ovh

HBASE is designed to fail It’s really good at it Monitoring 90 @ovh

HBASE fail in infinity ways NETWORK STORAGE COMPUTE Zookeeper timeout Slow disk Java GC Network latency Failed disk Region compaction Network bandwidth Corrupted block Delete handling Handlers exhaustion Monitoring @ovh

Extract errors from logs Monitoring @ovh

Tailor Filter logs Extract metrics Detect patterns Perform correlations Monitoring @ovh

Monitoring the JVM Monitoring @ovh

Documentation Monitoring @ovh

Documentation The option -XX:G1SummarizeRSetStatsPeriod in combination with gc+remset=trace level logging shows if this coarsening occurs. If so, then the X in the line Did <X> coarsenings in the Before GC Summary section shows a high value. The -XX:G1RSetRegionEntries option could be increased significantly to decrease the amount of these coarsenings. https://docs.oracle.com/javase/10/gctuning/garbage-first-garbage-collector-tuning.htm Monitoring @ovh

Let's observe what is happening Monitoring 97 @ovh

JVM GC The good, the bad and the ugly Monitoring @ovh

The good Monitoring @ovh

The bad Monitoring @ovh

… and the ugly #java #jdk11 #zgc Monitoring @ovh

Monitoring HBase Monitoring @ovh

Number of open regions Monitoring @ovh

Queues length Monitoring @ovh

Number of read and write requests Monitoring @ovh

Data locality Monitoring @ovh

Host health Monitoring @ovh

Pokédex & Pokeball Inventory all animals. Monitoring @ovh

Merging all data sources Monitoring @ovh

Global visualization Monitoring @ovh

Correlate information Monitoring @ovh

Sacha The best tamer Monitoring 112 @ovh

An awesome CLI Monitoring @ovh

Retrieving bare informations Monitoring @ovh

Create region map Monitoring @ovh

Move region to another region server Monitoring @ovh

Drain regions of the region server Monitoring @ovh

Managing multiple hardware profiles Monitoring @ovh

Balance the cluster Monitoring @ovh

Conclusion That's all folks! Monitoring @ovh