SlideShare a Scribd company logo
Istio
Arun Prasath
Senior Operations Engineer
Endurance International Group
@ bingoarun
@ bingoarunprasath
Docker meetup #35
Bangalore
November 25, 2017
@ bingoarun
A bit of history...
● Monolithic applications
● Hard to deploy
● Hard to manage
● Hard to scale
● Mostly deployed on a hardware
● Hard to solve bottleneck issues
Example - Bookinfo application
Product page
Details Reviews
Ratings
One single linux process (behind tomcat or httpd)
Migrating to cloud – The wrong way
Openstack VM / EC2 / GCE instance
One big VM
Migrating to the cloud – The correct way
Load balancer
Multiple small Cloud VMs based on need
Better than running on hardware or one big VM. Still not very
efficient..
Product page
Details Reviews
Ratings
Kubernetes to the rescue
Kubernetes master
node
Worker node Worker node Worker node
But things get complex...
More applications on Kubernetes, varying workloads different needs...
Worker node Worker node Worker node
Challenges
● Traffic management
● Observability
● Request routing
● Failure management
● Traffic shifting
● Timeouts
● Rate limiting
● Metrics , logs , traces
● Security
Istio
● An open platform to connect, manage, and
secure microservices.
● Istio provides an easy way to create a network
of deployed services with load balancing,
service-to-service authentication, monitoring,
and more, without requiring any changes in
service code.
Istio Architecture
Pilot architecture
Mixer Traffic Flow
Installation on Kubernetes
● curl -L https://git.io/getLatestIstio | sh -
● kubectl apply -f install/kubernetes/istio.yaml
What can Istio do ?
● Traffic management
● Policy Enforcement
● Metrics, Logs and Traces
● Security
Traffic Management
● Configuring Request Routing
● Fault Injection
● Traffic Shifting
● Setting Request Timeouts
● Control Egress Traffic
Communication between services
Service Versions
Ingress and Egress
Discovery and Load balancing
Policy Enforcement
● Enabling rate limits
● Conditional rate limits
Metrics Logs and Traces
● Distributed Tracing
● Collecting Metrics and Logs
● Collecting Metrics for TCP services
● Querying Metrics from Prometheus
● Visualizing Metrics with Grafana
● Generating a Service Graph
Demo - Bookinfo
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Editor's Notes

  • #4: 4 modules Big blue box is a single process
  • #5: Not a home grown application for cloud Just migrating the entire workload to the cloud VM
  • #7: Hardware consolidation Mixed work load Easy to manage Efficient resource usage
  • #8: Things get complex What if there are 100s of Kube worker node
  • #9: Can’t use packages, Need to rewrite code
  • #11: Why Envoy proxy ? Middle proxy is not very suitable for retries, not much client side benefits.. Control over source and destination Envoy programmed from control plane - yaml