Big data meets docker

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Portworx provides synchronous replication of data across multiple nodes in a cluster for high availability. It can be used for stateful applications and databases needing persistent storage. Big data hardware often includes lots of local storage that expands with the number of nodes, but new container storage interfaces will provide a vendor-neutral way to connect storage to orchestrators like DC/OS and Kubernetes. When deploying big data on DC/OS, choices of storage include only local storage or a hyperconverged option using Portworx to provide a single pool of storage. Best practices include using health checks, operators/frameworks, measuring performance of local versus shared storage, and considering encryption.

Data & Analytics

WHO AM I?
Bart Smith
DC/OS at 2 enterprise startups
public cloud
on prem
architect - engineer - trainer
Ops in DevOps team,
support big data Devs

AGENDA
Portworx
Big Data
Horror Stories
Best Practises

PORTWORX
Synchronous replication
All replicas accessible from any node in the cluster
If replica fails, it is repaired when it comes back up
If replica fails permanently, data is re-replicated
onto another node in the cluster

USE CASES
Portworx for
single instance apps needing persistent storage
ease transition to hyperconvergered storage
Encryption
backup & snapshots
Clustered databases ??

BIG DATA HW
HADOOP
https://h20195.www2.hpe.com/v2/getdocument.aspx?docname=4aa5-6136enw

MICROSERVICES
stateless
scale-out
blue-green deployment
→ Orchestator (Swarm, k8s)
NO STORAGE

ON AZURE
Azure responsible for persistent storage

TYPES OF STORAGE
Only local storage
Storage expands with nr. of nodes
HYPERCONVERGED STORAGE
2 types of storage
local
portworx

each HP Synergy blade:
local ssd for boot
2x 2TB HDD on SAS
1x 800GB SSD on SAS

LVM
lv_mesos vg_hdd01 -wi-ao---- 1.00t
lv_pwx vg_hdd01 -wi-ao---- 250.00g
lv_pwx vg_ssd01 -wi-ao---- 100.00g
lv_pwx_journal vg_ssd01 -wi-a----- 2.00g

Future:
CONTAINER STORAGE INTERFACE
Vendor Neutral
Interface storage ⟷ dc/os, k8s
Simple - gRPC - go

https://github.com/mesosphere/dcos-commons/compare/csi-support

HORROR STORIES
etcd cluster 2 of 3 nodes down
Be carefull making POC production
disk corruption
be carefull deploying the latest and greatest
Docker feature
Rebuild all RHEL servers.
Have frameworks recreate lost service agents
before going to the next server.

BEST PRACTISES
use native health checks
curl
use operators/frameworks
Cloud Native
measure performance
local <-> hyperconverged storage
consider encryption at rest

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