Resource Allocation Resource Usage Data Access Control. Network Intelligence, Guidance. Statistics, States, Objects and Events.

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2 Resource Allocation Resource Usage Data Access Control POLICY ENGINE Network Intelligence, Guidance APPLICATIONS & PaaS ANALYTICS Workflow SERVICE ORCHESTRATION AND CONTROL NETWORK Statistics, States, Objects and Events Programmability

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6 Hdr IOAM Payload Hdr IOAM Payload

7 Observe (SNMP, NetConf) Probe (ping, traceroute) In-Band OAM (per packet telemetry)

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13 B 6 C 4 B A IPFIX Hdr Payload A Hdr A 1 Payload 1 2 C 4 Hdr C 4 A 1 Payload 5 Hdr B A 6 C 4 1 Payload D Hdr Payload 13

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17 In-band OAM Authors: Cisco, Comcast, Facebook, JPMC, Bell Canada, Mellanox, Marvell, Barefoot, rtbrick In-band OAM data types: draft-ietf-ippm-ioam-data-01 Encapsulations: VXLAN-GPE: draft-brockners-ioam-vxlan-gpe-00 NSH: draft-brockners-sfc-ioam-nsh-00 Geneve: draft-brockners-nvo3-ioam-geneve-00 Additional encaps defined in: draft-brockners-inband-oam-transport-05 (will evolve into protocol specific drafts over time) In-band OAM transport: Proof-of-transit: draft-brockners-proof-of-transit-04 In-band OAM requirements (no longer maintained): draft-brockners-inband-oam-requirements-03 In-band OAM manageability YANG models and methods defined in IETF LIME WG draft-ietf-lime-yang-connectionless-oam-03 draft-ietf-lime-yang-connectionless-oam-methods-00

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19 Dataplane Implementation: Open-Source: FD.io/VPP (see fd.io) IOS (ISR-G2) PI31 (CCO: End of July/16) Silicon vendors supporting IOAM Broadcom (Trident T3), Netronome (Agilo), Barefoot (Tofino), Mellanox Cisco (planning) Controller Implementation: OpenDaylight (Carbon release) 19

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21 Observe (SNMP, NetConf) Probe (ping, traceroute) In-Band OAM (per packet telemetry)

22 3-fold increase in total IP Traffic >60% increase in devices and connections Telemetry data streamed in near real-time

23 Logs Metrics Telemetry Data sources Kafka Streamsets Kafka Data aggregation Spark Streaming HDFS NiFi Data store Hbase MapR Storm Data analysis Impala Query Dashboard & Reporting Outputs Tight coupling of data aggregation/store/ analysis Multiple analytics pipelines implemented from open source components Common design patterns ~75% of effort wasted / duplicated Siloes limit the potential of big data analytics and lead to industry divergence

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26 There are a bewildering number of big data technologies out there, so how do you decide what to use? The PNDA project has evaluated and chosen the best tools, based on technical capability and community support. PNDA combines them to streamline the process of developing data processing applications.

27 ODL Logstash OpenBPM pmacct XR Telemetry Data Distribution Processing Real -time Stream Batch File Store Query SQL Query OLAP Cube Search/ Lucene NoSQL Visualisation and Exploration Data Exploration Metric Visualisation Event Visualisation Time Series PNDA Applications Unmnged App Unmnged App PNDA Mnged App PNDA Mnged App Simple, scalable open data platform Provides a common set of services for developing analytics applications Accelerates the process of developing big data analytics applications whilst significantly reducing the TCO PNDA Plugins Platform Services: Installation, Mgmt, Security, Data Privacy App Packaging and Mgmt PNDA provides a platform for convergence of network data analytics PNDA Producer API PNDA Consumer API

28 ODL Logstash OpenBPM pmacct XR Telemetry PNDA Plugins PNDA Producer API Data Distribution Processing Real -time Stream Batch File Store Query SQL Query OLAP Cube Search/ Lucene NoSQL Platform Services: Installation, Mgmt, Security, Data Privacy Visualisation and Exploration Data Exploration Metric Visualisation Event Visualisation Time Series PNDA Consumer API PNDA Applications Unmnged App Unmnged App PNDA Mnged App PNDA Mnged App App Packaging and Mgmt Horizontally scalable platform for analytics and data processing applications Support for near-real-time stream processing and in-depth batch analysis on massive datasets PNDA decouples data aggregation from data analysis Consuming applications can be either platform apps developed for or client apps integrated with PNDA Client apps can use one of several structured query interfaces or consume streams directly. Leverages best current practise in big data analytics

29 Platform for data aggregation, distribution, processing and storage Automated installation, creation, and configuration Openstack, AWS and baremetal Ubuntu and RHEL Typical install ~1hr Online and offline install; modular install Open producer and consumer APIs Avro platform schema Plugins for Logstash, pmacct, OpenBMP, OpenDaylight, Cisco XR-telemetry, bulk ingest Data distribution Apache Kafka Data store: Automated data partitioning and storage (HDFS) OpenTSDB time series analysis Hbase - NoSQL Support for batch and stream processing: Apache Spark and Spark Streaming Jupyter notebook server for app prototyping and data exploration Impala-based SQL query support Grafana for time series visualisation PNDA application packaging PNDA management and dashboard

30 The PNDA console provides a dashboard across all components in a cluster Inbuilt platform test agents verify the operation of all components Active platform testing verifies the end-to-end data pipeline

31 standard Red pico

32 Smaller, simpler subset of PNDA designed for development, demonstration and education Can run on your laptop Consistent technologies, including: PNDA data-ingest (Kakfa/AVRO) Data-exploration tools: Jupyter, OpenTSDB and Grafana Apache Spark and Hbase Doesn t include HDFS and other Hadoop infrastructure for distributed processing.

33 Plan & Provision Use cases: Capacity planning Peering planning Cache placement Offline feedback loop Use cases: Traffic engineering: network optimisation Demand placement Workload placement Design Optimise Analyse Use cases: Service assurance Security operations Real-time feedback loop Orchestrate Monitor

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35 Analytics

36 Orchestration/Network Control X X

37 Data Infrastructure Orchestration VIM NFVO VNFM Network Control Inventory Context Open Source Custom Licensed Analytics Applications Open Data Platform (PNDA) Analytics VNF Data Aggregators NFVI State Related as loosely coupled systems Logs Alerts Metrics Telemetry Data Sources User Access Aggregation Core Data Center

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39 Holmes DCAE PNDA

40 DCAE Platform Core ONAP Lifecycle Manager (Cloudify Manager) Service & Config Registry (Consul) DCAE Control Platform (Docker Hosts) Dispatcher (NB API) Policy Handler Service Change Handler Inventory DCAE PGaaS DCAE Collector Services (Docker Hosts) CDAP Broker DCAE Service Infrastructure (CDAP + Haddop Cluster) Collector (VES) Collector SNMP Collector Telemetry Analytics (TCA) Analytics (Data Norm) Analytics (Correlation) DCAE Platform Components DCAE Service Components

41 DCAE Platform Core ONAP Lifecycle Manager (Cloudify Manager) Service & Config Registry (Consul) DCAE Control Platform (Docker Hosts) Dispatcher (NB API) Policy Handler Service Change Handler Inventory DCAE PGaaS DCAE Collector Services (Docker Hosts) PNDA Deployment Manager [1] DCAE Data Platform (PNDA.io) Collector (VES) Collector SNMP Collector Telemetry * Analytics ZTT (Data Norm) * Analytics (TCA) (Grafana) Analytics (Correlation) * Existing PDNA Capabilities DCAE Platform Components DCAE Service Components [1] Replaces CDAP Broker

42 VES data Models Meta data Data Sources VES Parser table Network ETL Anomaly Detection PNDA ZTT App (Spark Streaming) PNDA App (Jupyter) PNDA Data Platform TSDB + Individual time series with keys (Open TSDB) Data Visualization & TCA Alerts Grafana

43 Analytics Based Service assurance ML-based Security Analytics with Apache SPOT on PNDA Path Anomaly detection in PNDA using in-band OAM Openstack Analytics with PNDA and Calipso Smart Transport Connected Car Cloud Analytics with Machine Learning using PNDA BGP analytics with SNAS.io and PNDA.io ETSI NFV and Big Data Analytics with PNDA PNDA and Paris IOT Smart Cities Pilot Cable Plant Anomaly Detection with PNDA

44 github.com/ciscodevnet/ioam pnda.io

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