Lee Calcote
Clouds, containers, functions, applications and their management.
Lee Calcote
with Meshery
cloud native and its management
Ashish Tiwari
@revolyssup96
Nikhil Ladha
@NikhilLadha3
Find them on layer5.io/community/members
Join the Community
More labs and training
Start Docker Desktop, Minikube or other.
(either single-node or multi-node clusters will work)
Verify that you have a functional Docker environment by running :
$ docker run hello-world
Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
1b930d010525: Pull complete
Digest: sha256:0e11c388b664df8a27a901dce21eb89f11d8292f7fca1b3e3c4321bf7897bffe
Status: Downloaded newer image for hello-world:latest
Hello from Docker!
Docker and Kubernetes
Ensure your Docker Desktop VM has 4GB of memory assigned.
Ensure Kubernetes is enabled.
Install Meshery Docker Extension.
$ kubectl version --short
Client Version: v1.24.2
Server Version: v1.24.8
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
docker-desktop Ready master 10m v1.24.8
v1.9 or higher
layer5.io/books/the-enterprise-path-to-service-mesh-architectures
control over chaos
content-based traffic steering
what gets people hooked on service metrics
identity and policy
Expect more from your infrastructure
in-network application logic
an open platform to connect, manage, and secure microservices
Observability
Resiliency
Traffic Control
Security
Policy Enforcement
@IstioMesh
what gets people hooked on service metrics
Metrics without instrumenting apps
Consistent metrics across fleet
Trace flow of requests across services
Portable across metric back-end providers
You get a metric! You get a metric! Everyone gets a metric!
control over chaos
Timeouts and Retries with timeout budget
Control connection pool size and request load
Circuit breakers and Health checks
content-based traffic steering
Missing: application lifecycle management, but not by much
Missing: distributed debugging; provide nascent visibility (topology)
where Dev, Ops, Product meet
Empowered and independent teams can iterate faster
where Dev, Ops, Product meet
Empowered and independent teams can iterate faster
Cluster Management
Host Discovery
Host Health Monitoring
Scheduling
Orchestrator Updates and Host Maintenance
Service Discovery
Networking and Load Balancing
Stateful Services
Multi-Tenant, Multi-Region
Application Health and Performance Monitoring
Application Deployments
Application Secrets
minimal capabilities required to qualify as a container orchestrator
Service meshes generally rely on these underlying layers.
Ambassador uses Envoy
Kong uses Nginx
OpenResty uses Nginx
north-south vs. east-west
Enforcing consistency is challenging.
Foo Container
Flow Control
Foo Pod
Go Library
A v1
Network Stack
Service Discovery
Circuit Breaking
Application / Business Logic
Bar Container
Flow Control
Bar Pod
Go Library
A v2
Network Stack
Service Discovery
Circuit Breaking
Application / Business Logic
Baz Container
Flow Control
Baz Pod
Java Library
B v1
Network Stack
Service Discovery
Circuit Breaking
Application / Business Logic
Retry Budgets
Rate Limiting
Can modernize your IT inventory without:
Rewriting your applications
Adopting microservices, regular services are fine
Adopting new frameworks
Moving to the cloud
address the long-tail of IT services
Get there for free
Bloated service (application) code
Duplicating work to make services production-ready
Load balancing, auto scaling, rate limiting, traffic routing...
Inconsistency across services
Retry, tls, failover, deadlines, cancellation, etc., for each language, framework
Siloed implementations lead to fragmented, non-uniform policy application and difficult debugging
Diffusing responsibility of service management
to avoid...
Data Plane
Touches every packet/request in the system.
Responsible for service discovery, health checking, routing, load balancing, authentication, authorization, and observability.
Ingress Gateway
Egress Gateway
No control plane? Not a service mesh.
Control Plane
Provides policy, configuration, and platform integration.
Takes a set of isolated stateless sidecar proxies and turns them into a service mesh.
Does not touch any packets/requests in the data path.
Data Plane
Touches every packet/request in the system.
Responsible for service discovery, health checking, routing, load balancing, authentication, authorization, and observability.
Ingress Gateway
Egress Gateway
Control Plane
Data Plane
Touches every packet/request in the system.
Responsible for service discovery, health checking, routing, load balancing, authentication, authorization, and observability.
Provides policy, configuration, and platform integration.
Takes a set of isolated stateless sidecar proxies and turns them into a service mesh.
Does not touch any packets/requests in the data path.
You need a management plane.
Ingress Gateway
Management
Plane
Provides backend system integration, expanded policy and governance, continuous delivery integration, workflow, chaos engineering, configuration and performance management and multi-mesh federation.
Egress Gateway
Pilot
Citadel
Mixer
Control Plane
Data Plane
istio-system namespace
policy check
Foo Pod
Proxy Sidecar
Service Foo
tls certs
discovery & config
Foo Container
Bar Pod
Proxy Sidecar
Service Bar
Bar Container
Out-of-band telemetry propagation
telemetry
reports
Control flow
application traffic
Application traffic
application namespace
telemetry reports
Galley
Ingress Gateway
Egress Gateway
WASM
Filter
Control Plane
Data Plane
octa-system namespace
policy check
Foo Pod
Proxy
Sidecar
Service Foo
discovery & config
Foo Container
Bar Pod
Service Bar
Bar Container
Out-of-band telemetry propagation
telemetry
reports
Control flow
application traffic
Application traffic
application namespace
telemetry reports
Policy
Engine
Security Engine
Visibility
Engine
+
Proxy
Sidecar
+
Control Plane
Data Plane
linkerd namespace
Foo Pod
Proxy Sidecar
Service Foo
Foo Container
Bar Pod
Proxy Sidecar
Service Bar
Bar Container
Out-of-band telemetry propagation
telemetry
scarping
Control flow during request processing
application traffic
Application traffic
application namespace
telemetry scraping
Prometheus
Grafana
web
CLI
public-api
linkerd-controller
sp-validator
Control Plane
destination
tap
web
CLI
proxy-injector
identity
Leader
Agent
Control Plane
Data Plane
intentions
Foo Pod
Proxy Sidecar
Service Foo
discovery, config,
tls certs
Foo Container
Bar Pod
Proxy Sidecar
Service Bar
Bar Container
Control flow
application traffic
Application traffic
application namespace
Follower
Consul Client
Consul Servers
Follower
policy
check
layer5.io/resources
WASM Filter
node
provides service discovery to sidecars
manages sidecar configuration
Pilot
Citadel
the head of the ship
Ingress
istio-system namespace
system of record for service mesh
}
provides abstraction from underlying platforms
Galley
Control Plane
an attribute-processing and routing machine
operator-focused
Pilot
Citadel
Telemetry Filter
istio-system namespace
Galley
Control Plane
Ingress
Data Plane
Control Plane
Data Plane
istio-system namespace
Foo Pod
Proxy sidecar
Service Foo
Foo Container
Out-of-band telemetry propagation
Control flow during request processing
application traffic
application traffic
application namespace
telemetry reports
an attribute processing engine
security at scale
security by default
Orchestrate Key & Certificate:
Pilot
Citadel
Mixer
istio-system namespace
Galley
Control Plane
layer5.io/landscape
It's meshy out there.
Different tools for different use cases
a sample
Meshery is interoperable with these abstractions.
Service Mesh Interface
(SMI)
Multi-Vendor Service Mesh Interoperation (Hamlet)
Service Mesh Performance (SMP)
A standard interface for service meshes on Kubernetes.
A set of API standards for enabling service mesh federation.
A format for describing and capturing service mesh performance.
to the rescue
✔︎ Learn Layer5 sample application used for validating test assertions.
✔︎ Defines compliant behavior.
✔︎ Produces compatibility matrix.
✔︎ Ensures provenance of results.
✔︎ Runs a set of conformance tests.
✔︎ Built into participating service mesh’s release pipeline.
meshery.io/smi
Service Mesh Patterns
Service Communication | Low inter-service communication. | High inter-service communication. |
---|---|---|
Observability | Edge focus—metrics and usage are for response time to clients and request failure rates. | Uniform and ubiquitious—observability is key for understanding service behavior. |
Client Focus | Strong separation of external and internal users. Focused on external API experience. | Equal and undifferentiated experience for internal and external users. |
World-view of APIs | Primary client-facing interaction is through APIs are for clients only (separation of client-facing or service-to-service communication) | APIs are treated as a product; APIs are how your application exposes its capabilities. |
Security Model | Security at perimeter | Encryption between all services |
Security Model... | Subnet zoning (firewalling) | Zero-trust mindset |
Security Model... | Trusted internal networks (gooey center) | authN and authZ between all services |
Size of Org | Smaller organizations | Larger organizations |
# of Services | 1 to 5 services | 5 or more services |
Service Relability | Either don't need, are willlilng to handcode, or bring in other infrastructure to provide resiliency guarantees. | Need strong controls over the resiliency properties of your services and to granularly control ingress, between, and egress service request traffic. |
Diversity of Application Stack | Single language | One or more languages |
Lightly consider a service mesh
Strongly consider a service mesh
Consideration
(external client focus)
(internal/external client focus)
Service Mesh Performance (SMP)
meshery.io
Management
Plane
Provides expanded governance, backend system integration, multi-mesh, federation, expanded policy, and dynamic application and mesh configuration.
Control Plane
Data Plane
brew install mesheryctl
mesheryctl system start
Using brew
Using bash
curl -L https://meshery.io/install
mesheryctl system config minikube --token auth.json
Using minikube:
open http://localhost:9081
kubectl get namespaces
kubectl get svc -n istio-system
kubectl get pod -n istio-system
github.com/layer5io/istio-service-mesh-workshop
Automatic vs manual sidecar injection
Use Meshery or install manually
Reviews v1
Reviews Pod
Reviews v2
Reviews v3
Product Pod
Details Container
Details Pod
Ratings Container
Ratings Pod
Product Container
Reviews Service
Ratings Service
Details Service
Product Service
Reviews v1
Reviews Pod
Reviews v2
Reviews v3
Product Pod
Details Container
Details Pod
Ratings Container
Ratings Pod
Product Container
Envoy sidecar
Envoy sidecar
Envoy sidecar
Envoy sidecar
Envoy sidecar
Reviews Service
Enovy sidecar
Envoy ingress
Product Service
Ratings Service
Details Service
Automatic sidecar injection leverages Kubernetes' Mutating Webhook Admission Controller.
If your environment does NOT this API, then you may manually inject the istio sidecar.
github.com/layer5io/istio-service-mesh-workshop
kubectl get mutatingwebhookconfigurations
kubectl get mutatingwebhookconfigurations istio-sidecar-injector -o yaml
kubectl api-versions | grep admissionregistration
Sidecars proxy can be either manually or automatically injected into your pods.
Envoy ingress
kubectl -n istio-system get deployment -l istio=sidecar-injector
github.com/layer5io/istio-service-mesh-workshop
2. Confirm namespace label
kubectl get ns -L istio-injection
Istio ingress gateway
application traffic
github.com/layer5io/istio-service-mesh-workshop
benchmarking of service mesh performance
exchange of performance information from system-to-system / mesh-to-mesh
apples-to-apples performance comparisons of service mesh deployments.
MeshMark - a universal performance index to gauge a service mesh’s efficiency against deployments in other organizations’ environments
https://smp-spec.io
Directly provides:
Indirectly facilitates:
Configuration
Security
Telemetry
Control Plane
Data
Plane
service mesh ns
Foo Pod
Proxy Sidecar
Service Foo
Foo Container
Bar Pod
Proxy Sidecar
Service Bar
Bar Container
Out-of-band telemetry propagation
Control flow
application
traffic
Application traffic
application namespace
Ingress Gateway
Egress Gateway
Management
Plane
meshery
adapters
gRPC
kube-api
kube-system
generated load
http / gRPC traffic
fortio
wrk2
nighthawk
UI
API
workloads
Meshery WASM Filter
CLI
perf analysis
patterns
@mesheryio
kubectl -n istio-system edit svc grafana
kubectl -n istio-system get svc grafana
Grafana
Jaeger
github.com/layer5io/advanced-istio-service-mesh-workshop
Jaeger
The istio-proxy collects and propagates the following headers from the incoming request to any outgoing requests:
kubectl -n istio-system edit svc tracing
github.com/layer5io/advanced-istio-service-mesh-workshop
@smp_spec
smp-spec.io
1. Use Meshery to generate load on sample application
2. View in monitoring tools
Web
Service Foo
Timeout = 600ms
Retries = 3
Timeout = 300ms
Retries = 3
Timeout = 900ms
Retries = 3
Service Bar
Database
Timeout = 500ms
Retries = 3
Timeout = 300ms
Retries = 3
Timeout = 900ms
Retries = 3
Web
Service Foo
Deadline = 600ms
Deadline = 496ms
Service Bar
Database
Deadline = 428ms
Deadline=180ms
Elapsed=104ms
Elapsed=68ms
Elapsed=248ms
for the web, malware and beyond
webassembly.org
Data Plane
Pod
Proxy sidecar
App Container
+
WASM modules as Envoy filters
WASM is becoming a WORA runtime
Latency, throughput, and the proxies’ CPU and memory consumption affected by these factors
Data Plane
Proxy sidecar
App Container
Pod
with many variables
Data plane performance depends on many factors, for example:
Understanding the trade-off between power and speed
Data Plane
Proxy sidecar
App Container
Pod
Speed
Data Plane
Proxy sidecar
App Container
Pod
Data Plane
Proxy sidecar
App Container
Pod
Power
Speed
Data Plane
Pod
Proxy sidecar
App Container
Comparing approaches to data plane filtering
Data Plane
App Container
Pod
Client Library
Proxy sidecar
Rate limiting with Go client library
Rate limiting with WASM module (Rust filter)
Power
Speed
Data Plane
Proxy sidecar
App Container
Pod
github.com/layer5io/image-hub
Functionality | In the app | In the filter |
---|---|---|
User / Token | ||
Subscription Plans | ||
Plan Enforcement |
a sample app
Two
application containers
Hub UI Pod
Image Storage Container
Image Storage Pod
Hub UI
Container
Image Storage Service
Hub UI Service
github.com/layer5io/image-hub
Hub UI Pod
Image Access Container
Image Access Pod
Hub UI
Container
Image Access Service
Hub UI Service
Envoy sidecar
Envoy sidecar
github.com/layer5io/image-hub
with Consul
Leader
Follower
Consul Servers
Follower
agent
Consul Client
node
Image Access Container
Image Access Pod
Image Access Service
Envoy sidecar
github.com/layer5io/image-hub
WASM Filter
with a Rust-based WASM filter
apiVersion: apps/v1
kind: Deployment
spec:
template:
metadata:
labels:
app: api-v1
annotations:
"consul.hashicorp.com/connect-inject": "true"
"consul.hashicorp.com/service-meta-version": "1"
"consul.hashicorp.com/service-tags": "v1"
"consul.hashicorp.com/connect-service-protocol": "http"
"consul.hashicorp.com/connect-wasm-filter-add_header": "/filters/optimized.wasm"
spec:
containers:
- name: api
image: layer5/image-hub-api:latest
Leader
Follower
Consul Servers
Follower
agent
node
layer5.io/subscribe
MeshMap
kubectl -n istio-system edit svc kiali
kubectl -n istio-system get svc kiali
github.com/layer5io/linkerd-service-mesh-workshop
By Lee Calcote
Clouds, containers, functions, applications and their management.