Modern data-intensive microservice applications live in cloud and containers, they use machine learning techniques and serverless functions in data pipelines. Microservices should be efficient, scalable and decoupled, but the integration of services is very challenging through the application’s code. I will show how this can be accomplished by using service mesh that fundamentally changes how services are managed without changing the single line of code in services. Application’s code stays simpler and easier to maintain, which is preferable in many ways for both developers and operations, and on the other hand – scalability, security and observability increases.

1. Infrastructure-level
Solutions for Microservices
Petar Radosavljevic

2. Outline - Infrastructure-level Solutions

3. The Role of Infrastructure
 Exciting time for Operations and DevOps
Solutions bring efficiency and improvements

4. Cloud infrastructure
Microservices
IoT

5. #!/bin/bash
automation
< Code && Deploy && Repeat />

6. Micro is Not Micro
Anymore
Microservice
Deploy
Code
Services are getting bigger and bigger

7. The Debate: New Feature

8. The problem

9. Bussiness valueVS Others
BusinessValue
55%
Security
23%
Tracing
13%
Deploy
9%
EX:TIME IN SPRINT

10. Infrastracture Solution:Welcome
to Service mesh

11. ISTIO
OS Service Mesh
Google, IBM, Lyft
Logically split
Istio 1.5

12. Why to use Istio?

13. The traffic route

14. The traffic control

15. Ex 1:TLS without Code

16. Ex 2: Authorization without Code

17. Ex 3: Scalability
without Code Change
Kubernetes HPA
Istio (Envoy) metrics from
Prometheus
istio_requests_total

18. Ex 4:Tracing andTroubleshooting

19. Future of
Networking
 v2 architecture
 quarterly release plan
 Decoupling developers
from operations

20. ThankYou
Petar Radosavljevic
DevOps Engineer at MSG Global
Helpful resources
https://istio.io/
https://github.com/istio/istio
@petar-rados
@pijer10