Michael Hausenblas- Scalable time series and stream processing for IoT applications

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The Mesosphere Datacenter Operating System (DCOS) is a new kind of operating system that spans all of the machines in your datacenter or cloud. It provides a highly elastic, and highly scalable way of deploying applications, services and big data infrastructure on shared resources. In the context of IoT apps oftentimes one needs to deal with time series data as well as some sort of stream processing. In this presentation: data engineering topics (from representation to querying), cloud native execution environments and best practices around storing and processing time series data in a streaming context. Mesosphere helps to build and operate distributed applications in a scalable and elastic manner. Michael Hausenblas

Périphériques & matériel

© 2016 Mesosphere, Inc. All Rights Reserved.
SCALABLE TIME
SERIES AND
STREAM
PROCESSING
FOR IOT
APPLICATIONS
1
Michael Hausenblas, Developer & Cloud Advocate | 2016-01-16

© 2015 Mesosphere, Inc. All Rights Reserved.
MOTIVATION
2

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AIRLINES
3

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LOGISTICS
4

© 2015 Mesosphere, Inc. All Rights Reserved.
HEALTH 
CARE
5

© 2015 Mesosphere, Inc. All Rights Reserved.
TRADERS
6

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FARMERS
7

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CITIES
8
©2014,Wiredmagazine

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YOU
9

© 2015 Mesosphere, Inc. All Rights Reserved.
THE 
TOOLBOX
10

© 2015 Mesosphere, Inc. All Rights Reserved.
LET'S TALK ABOUT WORKLOADS* …
11*) kudos to Timothy St. Clair, @timothysc
batch streaming PaaS
MapReduce

© 2015 Mesosphere, Inc. All Rights Reserved.
• Apache Kafka
• ØMQ, RabbitMQ, Disque (Redis-based), etc.
• ﬂuentd, Logstash, Flume
• Akka streams
• cloud-only: AWS SQS, Google Cloud Pub/Sub
• see also queues.io
MESSAGE QUEUES & ROUTERS
12

© 2015 Mesosphere, Inc. All Rights Reserved.
APACHE KAFKA
13
• High-throughput, distributed, persistent
publish-subscribe messaging system
• Originates from LinkedIn
• Typically used as buffer/de-coupling
layer in online stream processing
Message queues & routers
kafka.apache.org

© 2015 Mesosphere, Inc. All Rights Reserved.
FLUENTD
14
Message queues & routers
www.fluentd.org

© 2015 Mesosphere, Inc. All Rights Reserved.
STREAM PROCESSING PLATFORMS
15
• Apache Storm
• Apache Spark
• Apache Samza
• Apache Flink
• Concord
• cloud-only: AWS Kinesis, Google Cloud Dataﬂow
• see also my webinar on stream processing

© 2015 Mesosphere, Inc. All Rights Reserved.
APACHE STORM
16
• Distributed, fault-tolerant stream-
processing platform
• Guaranteed message processing
(replaying messages on failure)
• Concepts: tuples, streams, spouts, bolts,
topologies
Stream processing platforms
storm.apache.org

© 2015 Mesosphere, Inc. All Rights Reserved.
APACHE SPARK
17
Stream processing platforms
spark.apache.org
Spark SQL Spark Streaming
MLlib 
(machine learning)
Spark core (RDD)
GraphX 
(graph processing)
Mesos
Filesystem (local, HDFS, S3) or data store (HBase, Cassandra, Elasticsearch, etc.)
YARNStandalone

© 2015 Mesosphere, Inc. All Rights Reserved.
TIME SERIES DATASTORES
18
• InﬂuxDB
• OpenTSDB
• KairosDB
• Prometheus
• see also iot-a.info

© 2015 Mesosphere, Inc. All Rights Reserved.
OPENTSDB
19
• Distributed time series database on top HBase
• Store, index, query & plot metrics
• Extremely scalable
• Low-level monitoring
Time series datastores
opentsdb.net

© 2015 Mesosphere, Inc. All Rights Reserved.
INFLUXDB
20
• No-dependency, time series database written in Go
• SQLish query language (incl. regex, fan out)
• Single node or Raft-based distributed node mode
Time series datastores
influxdb.com

© 2015 Mesosphere, Inc. All Rights Reserved.
CHALLENGES
21
• Set up and operation of components
• Elasticity: static vs. dynamic partitioning
• Efﬁcient usage of resources (TCO)

© 2015 Mesosphere, Inc. All Rights Reserved.
MEET THE
DATACENTER 
OPERATING 
SYSTEM 
(DCOS)
22

© 2015 Mesosphere, Inc. All Rights Reserved.
LOCAL OS VS. DISTRIBUTED OS
23
http://bitly.com/os-vs-dcos

© 2015 Mesosphere, Inc. All Rights Reserved.
DCOS IS A DISTRIBUTED OPERATING SYSTEM
24
• local OS per node (+container enabled)
• scheduling (long-lived, batch)
• networking
• service discovery
• stateful services
• security
• monitoring, logging, debugging

© 2015 Mesosphere, Inc. All Rights Reserved. 25

© 2015 Mesosphere, Inc. All Rights Reserved.
BENEFITS
26
DCOS
• Run stateless services such as Web server or app
server and Big Data services like Kafka, Spark, or
Cassandra together on one cluster
• Dynamic partitioning of your cluster, depending on
your business requirements
• Increased utilization (10% → 80%++)

© 2015 Mesosphere, Inc. All Rights Reserved.
AN
EXAMPLE
27

© 2015 Mesosphere, Inc. All Rights Reserved. 28
https://mesosphere.com/blog/2015/11/18/dcos-time-series-demo

© 2015 Mesosphere, Inc. All Rights Reserved. 29
https://github.com/mesosphere/time-series-demo

© 2015 Mesosphere, Inc. All Rights Reserved.
Q & A
30
• @mhausenblas
• mhausenblas.info
• @mesosphere
• mesosphere.io/product
• mesosphere.com/inﬁnity

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