Episode 4: Operating Kubernetes at Scale with DC/OS
Download as PPTX, PDF0 likes410 views
You’ve installed your Kubernetes cluster on DC/OS — now what? Operating Kubernetes efficiently can be challenging. In the final episode of our Kubernetes series, we will share best practices for operating your DC/OS Kubernetes cluster and maintaining performance. During this presentation, Joerg Schad and Chris Gaun show you how to successfully operate Kubernetes at scale in your environment. During this session, we discuss: 1. How to upgrade DC/OS and Kubernetes with no downtime 2. How DC/OS guards against failure and enables fault domains that are resistant to outages within racks, availability zones, or cloud environments 3. How the monitoring and metrics capabilities on DC/OS improve operational analytics and help you get the most from your cluster 4. How cloud bursting extends your on-prem environment with resources from the cloud to handle spikes in your workload
![© 2018 Mesosphere, Inc. All Rights Reserved.
Plans
dcos hdfs --name=hdfs plan status deploy
deploy (serial strategy) (COMPLETE)
├─ journal (serial strategy) (COMPLETE)
│ ├─ journal-0:[node] (COMPLETE)
│ ├─ journal-1:[node] (COMPLETE)
│ └─ journal-2:[node] (COMPLETE)
├─ name (serial strategy) (COMPLETE)
│ ├─ name-0:[node, zkfc] (COMPLETE)
│ └─ name-1:[node, zkfc] (COMPLETE)
└─ data (serial strategy) (COMPLETE)
├─ data-0:[node] (COMPLETE)
├─ data-1:[node] (COMPLETE)
└─ data-2:[node] (COMPLETE)](https://image.slidesharecdn.com/webinariv-operatingkubernetes-180508223931/85/Episode-4-Operating-Kubernetes-at-Scale-with-DC-OS-16-320.jpg)
Ad
More Related Content
What's hot (20)
Similar to Episode 4: Operating Kubernetes at Scale with DC/OS (20)
![[DO16] Mesosphere : Microservices meet Fast Data on Azure](https://cdn.slidesharecdn.com/ss_thumbnails/do16-170616021542-thumbnail.jpg?width=560&fit=bounds)
![[Capitole du Libre] #serverless - mettez-le en oeuvre dans votre entreprise...](https://cdn.slidesharecdn.com/ss_thumbnails/capitoledulibre2018serverless-181120135943-thumbnail.jpg?width=560&fit=bounds)
Ad
More from Mesosphere Inc. (17)
Ad
Recently uploaded (20)
Episode 4: Operating Kubernetes at Scale with DC/OS
- 1. Operating Kubernetes at Scale @joerg_schad @gaunetes @dcos
- 2. Chris Gaun PMM at Mesosphere / Kubernetes Expert / CNCF Ambasador ● Previous to that Gartner analyst covering public IaaS ● Kubernetes community for 3 years
- 3. Jörg Schad Technical Community Lead / Developer ● Core Mesos developer at Mesosphere ● Passions are deep learning, distributed data systems, and data analytics
- 4. Bootcamp: Building Kubernetes-as-a-Service at Scale, Anywhere ● Episode 1: Building Kubernetes-as-a-Service at Scale ● Episode 2: Deploying Kubernetes at Scale with DC/OS ● Episode 3: Kubernetes and Big Data Services ● Episode 4: Operating Kubernetes at Scale with DC/OS ● End-to-end components and best practices ● Automated management of Kubernetes ● Connecting Kubernetes to Big Data services ● Delivering an entire Kubernetes solution
- 5. 5 Star / Clone Github 1. Go to Kubernetes DC/OS quickstart 2. Search “DC/OS Kubernetes Quickstart Github” or https://github.com/mesospher e/dcos-kubernetes-quickstart 3. Live demo https://github.com/dcos/demos /tree/master/flink-k8s/1.11
- 6. 6 Sign Up For Slack 1. Slack URL: https://chat.dcos.io/ 2. Join #kubernetes channel 3. OSS support / feedback
- 7. Server Server Server Server Server Server Server Server Server Server as-a-Service Installation KubernetesOne-Click 20+ MORE Cloud Native Services
- 9. © 2018 Mesosphere, Inc. All Rights Reserved. 10 DC/OS PHYSICAL INFRASTRUCTURE MICROSERVICES, CONTAINERS, & DEV TOOLS VIRTUAL MACHINES PUBLIC CLOUDS DATA SERVICES, MACHINE LEARNING, & AI Security & Compliance Application-Aware Automation Multitenancy Hybrid Cloud Management 100+ MORE DatacenterEdge Datacenter and Cloud as a Single Computing Resource Powered by Apache Mesos 20+ MORE
- 10. • Brings “as-a-Service” automation to any application technology on any infrastructure • Organizations Run All Types of Container Management as-a- Service Using Mesos: "(Netflix) launches up to 500,000 containers and 200,000 clusters/day" -Netflix OSS, on using Titus container management ontop Mesos
- 11. © 2017 Mesosphere, Inc. All Rights Reserved. 12 Day 2 Challenges
- 12. © 2018 Mesosphere, Inc. All Rights Reserved. 13 Day 2 Operations Maintenance - Cluster Upgrades - Cluster Resizing - Capacity Planning - User & Package Management - Networking Policies - Auditing - Backups & Disaster Recovery Troubleshooting - Debugging - Services - System - Tracing - Chaos engineering
- 13. © 2018 Mesosphere, Inc. All Rights Reserved. 14 DAY 2 OPERATIONS Metrics and Monitoring - Collecting metrics - Downstream processing ○ Alerting ○ Dashboards ○ Storage (long-term retention) Logging - Scopes - Local vs. centralized - Security considerations
- 14. ServerServer Server as-a-Service Automated Self Healing Server Server Server Server Server Server Server Server KubernetesZero Touch 20+ MORE Cloud Native Services
- 15. © 2018 Mesosphere, Inc. All Rights Reserved. Two-level Scheduling 1. Agents advertise resources to Master 2. Master offers resources to Framework 3. Framework rejects / uses resources 4. Agent reports task status to Master 16 MESOS ARCHITECTURE Mesos Master Mesos Master Mesos Master Mesos AgentMesos Agent Service Cassandra Executor Cassandra Task Kubernetes Scheduler Spark Executor Spark Task Mesos AgentMesos Agent Service Docker Executor Docker Task K8s Executor Kubelet Task Marathon Scheduler Kafka Scheduler
- 16. © 2018 Mesosphere, Inc. All Rights Reserved. Plans dcos hdfs --name=hdfs plan status deploy deploy (serial strategy) (COMPLETE) ├─ journal (serial strategy) (COMPLETE) │ ├─ journal-0:[node] (COMPLETE) │ ├─ journal-1:[node] (COMPLETE) │ └─ journal-2:[node] (COMPLETE) ├─ name (serial strategy) (COMPLETE) │ ├─ name-0:[node, zkfc] (COMPLETE) │ └─ name-1:[node, zkfc] (COMPLETE) └─ data (serial strategy) (COMPLETE) ├─ data-0:[node] (COMPLETE) ├─ data-1:[node] (COMPLETE) └─ data-2:[node] (COMPLETE)
- 17. © 2018 Mesosphere, Inc. All Rights Reserved. 18 TROUBLES HOOTING
- 18. © 2017 Mesosphere, Inc. All Rights Reserved. 19 Debuggin g Dashboar d
- 19. © 2018 Mesosphere, Inc. All Rights Reserved. 20 Demo Failure Handling Configuration Updates
- 21. © 2018 Mesosphere, Inc. All Rights Reserved. 22 THANK YOU! ANY QUESTION S? @dcos [email protected] /groups/8295652 /dcos /dcos/examples /dcos/demos chat.dcos.io https://github.com/mesosphere/dcos-kubernetes-quickstart https://mesosphere.com/blog/another-kubernetes-service/
- 22. © 2017 Mesosphere, Inc. All Rights Reserved. 23 MapReduce is crunching Data Ancient Times...
- 23. © 2016 Mesosphere, Inc. All Rights Reserved. 24 But then business demanded FAST DATA We need to turn faster! Today...
- 24. © 2016 Mesosphere, Inc. All Rights Reserved. 25 Fast Data Batch Event ProcessingMicro-Batch Days Hours Minutes Seconds Microseconds Solves problems using predictive and prescriptive analyticsReports what has happened using descriptive analytics Predictive User InterfaceReal-time Pricing and Routing Real-time AdvertisingBilling, Chargeback Product recommendations
- 25. © 2016 Mesosphere, Inc. All Rights Reserved. 26 The SMACK Stack EVENTS Ubiquitous data streams from connected devices INGEST Apache Kafka STORE Apache Spark ANALYZE Apache Cassandra ACT Akka Ingest millions of events per second Distributed & highly scalable database Real-time and batch process data Visualize data and build data driven applications Apache Mesos/ DC/OS Sensors Devices Clients
- 27. © 2016 Mesosphere, Inc. All Rights Reserved. 28 The SMACK Stack EVENTS Ubiquitous data streams from connected devices INGEST Apache Kafka STORE Apache Flink ANALYZE Apache Cassandra ACT Akka Ingest millions of events per second Distributed & highly scalable database Real-time and batch process data Visualize data and build data driven applications Apache Mesos/ DC/OS Sensors Devices Clients
- 28. © 2018 Mesosphere, Inc. All Rights Reserved. 29 Datacenter Typical Datacenter siloed, over-provisioned servers, low utilization Kubernetes Jenkins Kafka Spark Cassandra
- 29. 3 AM Typical Datacenter siloed, over-provisioned servers, low utilization Kubernetes Jenkins Kafka Spark Cassandra
- 30. DC1 DC2 DC3 3 AM
- 31. © 2017 Mesosphere, Inc. All Rights Reserved. 32
- 32. © 2018 Mesosphere, Inc. All Rights Reserved. 33 Datacenter Typical Datacenter siloed, over-provisioned servers, low utilization Mesos/ DC/OS automated schedulers, workload multiplexing onto the same machines Kubernetes Jenkins Kafka Spark Cassandra
- 33. © 2018 Mesosphere, Inc. All Rights Reserved. 34
- 34. © 2018 Mesosphere, Inc. All Rights Reserved. Distributed Systems are ... HDFS Scheduler
- 35. Server Server Server Server Server Server Server Server Server Server as-a-Service Installation KubernetesOne-Click 20+ MORE Cloud Native Services
- 36. © 2018 Mesosphere, Inc. All Rights Reserved. 37 Why {Spark, HDFS, ..} on K8s today? Kelsey Hightower Kubernetes Thought Leader Ranked #1 K8s Influencer Staff Developer Advocate PM & Chief Advocate Today Big Data on K8s is more DIY Top Kubernetes Advocate
- 37. © 2018 Mesosphere, Inc. All Rights Reserved. 38 SMACK Stack Generator Display 1. Financial data created by generator 2. Written to Kafka topics 3. Kafka Topics consumed by Spark or Flink 4. Results written back into Kafka stream (another topic) 7. Results displayed
- 38. 39 Star / Clone Github 1. Go to Kubernetes DC/OS quickstart 2. Search “DC/OS Kubernetes Quickstart Github” or https://github.com/mesospher e/dcos-kubernetes-quickstart 3. Live demo https://github.com/dcos/demos /tree/master/flink-k8s/1.11