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Building a Multi-cloud
Kubernetes Storage
Environment for GitLab
Brian Matheson
bmath@mayadata.io
@brian_matheson
Feb 12th 2020
MayaData - Data Agility
STORE AND PROTECT VALIDATE AND HARDEN UNDERSTAND AND CONTROL
CONTAINER ATTACHED STORAGE CHAOS ENGINEERING DATA MIGRATION, HA, DR
Agenda
● Introduction
● Demo
● Multi-cloud use cases
○ App Volume Backups on different cloud
○ Active / Active multi-cloud
○ In-service migration to a new cloud
● OpenEBS Release updates
● Q&A
Demo
● The Application:
○ GitLab (Gitaly in particular)
● The Clouds:
○ Packet
○ Digital Ocean
● The Topology:
○ Simple single disk Cstor Pool
○ Two storage nodes in Packet, two in DO
○ Worker and master nodes in Packet
○ Storage on SSDs (bare metal in Packet, Virtualized in DO)
5
GitLab
● Free Community Edition
● Helm Chart Available
○ With some caveats
● Awesome Code Repo
○ Repo Data stored in Gitaly
○ Dynamic Persistent Storage
Recommended
○ Need backups
○ Needs to be available for
devs to work
● CI/CD and K8s management too
6
Master
Master
Master
Worker
Worker
Worker
Worker
Storage
Storage
Storage
Storage
Environment
Packet Digital Ocean
Storage
Storage
● Single cluster
● Stretched between Packet and DO
● Same metro region
○ Low network latency
○ ~1.5ms rtt
● Relies on external transit
7
node1
Storage
Configuration
Packet Digital Ocean
● GitLab installed on Packet
● Gitaly process (repo data)
● Talks to iSCSI Target service
● Cstor Storage Engine
○ Robust
○ Replication to three nodes
○ Fast rebuild on network
interruption
● Writes on three different hard disks
in three different nodes
node11
Storage
node3
Storage
node12
Storage
Gitaly
iSCSI
Target
A look at the environment
Further Investigations:
● Security vetting of the stretched cluster
● Ingress in DO
● Application component placement in DO
● Service mesh testing
● Adding a third cloud
● Chaos testing with Litmus
Introduction - Recent Storage Outages
● GCP Persistent Disk Incident Snowballed into a 23-Hour Outage
○ ~4 hours actual incident
○ Affected : us-east1-b
○ High IO wait times, failed IO operations, or IO Operations taking
over 2 seconds to complete
● How @DigitalOcean just killed our company @raisupcom. A long
thread for a very sad story.
○ AI shutdown the instances
○ 2 days with support and social media system was recovered.
Introduction - Mitigation Questions
● Why were you not using the multi-region deployments?
● Why were you only hosting one JUST ONE cloud provider?
● Why didn't you have backups outside of JUST ONE cloud provider?
● Why didn't you have a monthly validated Disaster Recovery plan?
● Why did you use that <Cloud Provider> in the first place?
● Why isn't everyone on bare metal?
Kubernetes for Stateful Applications
Kubernetes is evolving its capabilities around the stateful applications.
● Cloud Managed Services - are powered through Open source projects
○ Data Lock-In
○ Rising Cloud Costs
● Hybrid and Multi-cloud Strategy
○ Kubernetes is winning
○ Open source projects are getting Kubernetes friendly
○ Increased adoption of Container Attached Storage like OpenEBS
○ Early adopters to early majority
Kubernetes - Multi-cloud Strategy
Avoid single zone / data center clusters for production
● Multi-zonal clusters
○ Persistent Storage across zones
○ Asynchronous Backup on another provider
● Multi-provider clusters
○ Nodes from different providers on same cluster.
○ Persistent Storage distributed across providers
● Federated Clusters*
GitLab Components - Building Storage
GitLab
(Gitaly) RedisPostgreSQLMinio
Data! Artifacts and Backup User Information Cache/Session Data
Highly Resilient Highly Resilient Highly Resilient Highly performant
Storage
Replication
Non-replicated* Non-replicated* NA**
Needs Backup Needs Backup Needs Backup NA**
Read/Write High on writes High on reads Read Intensive
Kubernetes - native Persistent Storage
● Built into Kubernetes
● Easy to setup and manage
● Any platform, any storage
● Protect Data with multi
region/provider storage
● Easily migrate across providers
(hybrid)
● Granular controls per workloads
Completely Open source
Gain control over data
Reduce cloud spending
OpenEBS Release Updates
● Monthly Releases!
● 1.6 updates
○ Added support to use Local PV on nodes with taints
○ Add an option to helm chart to work in PSP enabled clusters.
○ Optimize the Jiva replica rebuild process in case of controller or replica restart.
○ Fixes an issue where cleanup of OpenEBS Local PV with hostpaths in OpenShift 4.2 environment
was failing.
○ Fixes an issue where cStor cloned volume was always defaulting to ext4 filesystem. #2809
○ Fixes an issue with openebs velero plugin when used on applications that use annotations to specify
the storage class.
● 1.7 and upcoming releases
○ MayaStor
○ ZFS Local PV
○ CSI Driver for cStor and Jiva
○ Automating ARM builds tracked under #1295
Questions!
Next Webinar: 4th March 2020
Webinar: Using Litmus Chaos Engineering
& AI for auto incident detection
Thank You

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Webinar: Building a multi-cloud Kubernetes storage on GitLab

  • 1. Building a Multi-cloud Kubernetes Storage Environment for GitLab Brian Matheson bmath@mayadata.io @brian_matheson Feb 12th 2020
  • 2. MayaData - Data Agility STORE AND PROTECT VALIDATE AND HARDEN UNDERSTAND AND CONTROL CONTAINER ATTACHED STORAGE CHAOS ENGINEERING DATA MIGRATION, HA, DR
  • 3. Agenda ● Introduction ● Demo ● Multi-cloud use cases ○ App Volume Backups on different cloud ○ Active / Active multi-cloud ○ In-service migration to a new cloud ● OpenEBS Release updates ● Q&A
  • 4. Demo ● The Application: ○ GitLab (Gitaly in particular) ● The Clouds: ○ Packet ○ Digital Ocean ● The Topology: ○ Simple single disk Cstor Pool ○ Two storage nodes in Packet, two in DO ○ Worker and master nodes in Packet ○ Storage on SSDs (bare metal in Packet, Virtualized in DO)
  • 5. 5 GitLab ● Free Community Edition ● Helm Chart Available ○ With some caveats ● Awesome Code Repo ○ Repo Data stored in Gitaly ○ Dynamic Persistent Storage Recommended ○ Need backups ○ Needs to be available for devs to work ● CI/CD and K8s management too
  • 6. 6 Master Master Master Worker Worker Worker Worker Storage Storage Storage Storage Environment Packet Digital Ocean Storage Storage ● Single cluster ● Stretched between Packet and DO ● Same metro region ○ Low network latency ○ ~1.5ms rtt ● Relies on external transit
  • 7. 7 node1 Storage Configuration Packet Digital Ocean ● GitLab installed on Packet ● Gitaly process (repo data) ● Talks to iSCSI Target service ● Cstor Storage Engine ○ Robust ○ Replication to three nodes ○ Fast rebuild on network interruption ● Writes on three different hard disks in three different nodes node11 Storage node3 Storage node12 Storage Gitaly iSCSI Target
  • 8. A look at the environment
  • 9. Further Investigations: ● Security vetting of the stretched cluster ● Ingress in DO ● Application component placement in DO ● Service mesh testing ● Adding a third cloud ● Chaos testing with Litmus
  • 10. Introduction - Recent Storage Outages ● GCP Persistent Disk Incident Snowballed into a 23-Hour Outage ○ ~4 hours actual incident ○ Affected : us-east1-b ○ High IO wait times, failed IO operations, or IO Operations taking over 2 seconds to complete ● How @DigitalOcean just killed our company @raisupcom. A long thread for a very sad story. ○ AI shutdown the instances ○ 2 days with support and social media system was recovered.
  • 11. Introduction - Mitigation Questions ● Why were you not using the multi-region deployments? ● Why were you only hosting one JUST ONE cloud provider? ● Why didn't you have backups outside of JUST ONE cloud provider? ● Why didn't you have a monthly validated Disaster Recovery plan? ● Why did you use that <Cloud Provider> in the first place? ● Why isn't everyone on bare metal?
  • 12. Kubernetes for Stateful Applications Kubernetes is evolving its capabilities around the stateful applications. ● Cloud Managed Services - are powered through Open source projects ○ Data Lock-In ○ Rising Cloud Costs ● Hybrid and Multi-cloud Strategy ○ Kubernetes is winning ○ Open source projects are getting Kubernetes friendly ○ Increased adoption of Container Attached Storage like OpenEBS ○ Early adopters to early majority
  • 13. Kubernetes - Multi-cloud Strategy Avoid single zone / data center clusters for production ● Multi-zonal clusters ○ Persistent Storage across zones ○ Asynchronous Backup on another provider ● Multi-provider clusters ○ Nodes from different providers on same cluster. ○ Persistent Storage distributed across providers ● Federated Clusters*
  • 14. GitLab Components - Building Storage GitLab (Gitaly) RedisPostgreSQLMinio Data! Artifacts and Backup User Information Cache/Session Data Highly Resilient Highly Resilient Highly Resilient Highly performant Storage Replication Non-replicated* Non-replicated* NA** Needs Backup Needs Backup Needs Backup NA** Read/Write High on writes High on reads Read Intensive
  • 15. Kubernetes - native Persistent Storage ● Built into Kubernetes ● Easy to setup and manage ● Any platform, any storage ● Protect Data with multi region/provider storage ● Easily migrate across providers (hybrid) ● Granular controls per workloads Completely Open source Gain control over data Reduce cloud spending
  • 16. OpenEBS Release Updates ● Monthly Releases! ● 1.6 updates ○ Added support to use Local PV on nodes with taints ○ Add an option to helm chart to work in PSP enabled clusters. ○ Optimize the Jiva replica rebuild process in case of controller or replica restart. ○ Fixes an issue where cleanup of OpenEBS Local PV with hostpaths in OpenShift 4.2 environment was failing. ○ Fixes an issue where cStor cloned volume was always defaulting to ext4 filesystem. #2809 ○ Fixes an issue with openebs velero plugin when used on applications that use annotations to specify the storage class. ● 1.7 and upcoming releases ○ MayaStor ○ ZFS Local PV ○ CSI Driver for cStor and Jiva ○ Automating ARM builds tracked under #1295
  • 18. Next Webinar: 4th March 2020 Webinar: Using Litmus Chaos Engineering & AI for auto incident detection
  • 19.

Editor's Notes

  1. Kubernetes as a Data Layer - runs anywhere, delivers data agility and freedom from cloud and system lock-in. MayaData extends Kubernetes to deliver a self-managed data layer that crosses all clouds and environments, delivering unprecedented levels of productivity to developers building data-centric applications and control and freedom from cloud lock-in to enterprises.
  2. https://grafana.com/blog/2020/01/23/how-a-gcp-persistent-disk-incident-snowballed-into-a-23-hour-outage-and-taught-us-some-important-lessons/
  3. https://blog.acolyer.org/2019/06/21/what-bugs-cause-cloud-production-incidents/ https://m.subbu.org/if-only-production-incidents-could-speak-555d68b6abfc https://davidmytton.blog/what-are-the-common-causes-of-cloud-outages/ https://m.subbu.org/incidents-trends-from-the-trenches-e2f8497d52ed
  4. https://cloud.google.com/solutions/deploying-production-ready-gitlab-on-gke
  5. https://codefresh.io/kubernetes-tutorial/kubernetes-cloud-aws-vs-gcp-vs-azure/
  6. https://cloud.google.com/solutions/deploying-production-ready-gitlab-on-gke
  7. https://docs.gitlab.com/charts/
  8. https://docs.gitlab.com/charts/