SlideShare a Scribd company logo

Node Interactive: Node.js Performance and Highly Scalable Micro-Services

•
•
Chris Bailey
Chris Bailey

The fundamental performance characteristics of Node.js, along with the improvements driven through the community benchmarking workgroup, makes Node.js ideal for highly performing micro-service workloads. Translating that into highly responsive, scalable solutions however is still far from easy. This session will discuss why Node.js is right for micro-services, introduce the best practices for building scalable deployments, and show you how to monitor and profile your applications to identify and resolve performance bottlenecks.

Software
1 of 70
Download to read offline
Highly Scalable
 Node.js Microservices 
 
 Chris Bailey (@Chris__Bailey) 
 Node.js and Swift Runtimes Chris Vignola (@ChrisVignola) 
 Cloud Native Node.js
: Key Technologies
: Key Technologies Container
: Key Technologies Container Orchestration
: Key Technologies Container Orchestration Package and Deploy
: Key Technologies Container Orchestration MonitoringPackage and Deploy
: Key Technologies Container Orchestration Monitoring Distributed TracingPackage and Deploy
MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
0 300 600 900 200 0 1,150 IO Speed • Performance • Scale MICROSERVICES: Key Performance Characteristics
0 300 600 900 200 0 1,150 IO Speed • Performance • Scale MICROSERVICES: Key Performance Characteristics
0 300 600 900 200 897 1,150 MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
0 300 600 900 200 897 1,150 Startup • Availability • Scaling MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
0 300 600 900 200 897 1,150 00.9 Startup • Availability • Scaling MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
0 300 600 900 200 897 1,150 13.7 0.9 Startup • Availability • Scaling MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
0 300 600 900 200 897 1,150 13.7 0.9 Startup • Availability • Scaling Memory • Efficiency • Cost MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
0 300 600 900 200 897 1,150 13.7 0.9 023.6 Startup • Availability • Scaling Memory • Efficiency • Cost MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
0 300 600 900 200 897 1,150 13.7 0.9 422 23.6 Startup • Availability • Scaling Memory • Efficiency • Cost MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
Startup • Availability • Scaling Memory • Efficiency • Cost Benchmarking WG: Performance Gains IO Speed • Performance • Scale
Startup • Availability • Scaling Memory • Efficiency • Cost 3,049 2,914 2,076 1,866 4.x master6.x 8.x Benchmarking WG: Performance Gains IO Speed • Performance • Scale
Startup • Availability • Scaling Memory • Efficiency • Cost 50,42052,640 42,500 71,000 3,049 2,914 2,076 1,866 4.x master6.x 8.x 4.x master6.x 8.x Benchmarking WG: Performance Gains IO Speed • Performance • Scale
Startup • Availability • Scaling Memory • Efficiency • Cost 50,42052,640 42,500 71,000 89,024 92,84091,47688,9603,049 2,914 2,076 1,866 4.x master6.x 8.x 4.x master6.x 8.x 4.x master6.x 8.x Benchmarking WG: Performance Gains IO Speed • Performance • Scale
Building Scalable Microservices
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore const appName = require('./../package').name; const express = require('express'); const log4js = require(‘log4js'); const logger = log4js.getLogger(appName); const app = express(); app.get('/', function (req, res) { res.send('Hello World!') }) const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); });
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore FROM ibmcom/ibmnode ENV NODE_ENV production ENV PORT 3000 WORKDIR "/app" # Install app dependencies COPY package.json /app/ RUN cd /app; npm install # Bundle app source COPY . /app EXPOSE 3000 CMD ["npm", "start"]
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore node_modules/ npm-debug.log
$ docker build -t <your username>/node-app .

$ docker build -t <your username>/node-app .
 $ docker run -p 49160:3000 -d <your username>/node-app
$ docker build -t <your username>/node-app .
 $ docker run -p 49160:3000 -d <your username>/node-app
$ docker build -t <your username>/node-app .
 $ docker run -p 49160:3000 -d <your username>/node-app
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: v1 description: A Helm chart for Kubernetes name: node-app version: 1.0.0
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: extensions/v1beta1 kind: Deployment metadata: name: “node-app-deployment" labels: chart: “node-app-1.0.0” spec: replicas: “5” revisionHistoryLimit: “1” template: metadata: labels: app: “node-app-selector" version: “1.0.0” spec: containers: - name: “node-app” image: “repository:1.0.0” imagePullPolicy: Always livenessProbe: httpGet: path: /health port: 3000 initialDelaySeconds: 3000 periodSeconds: 1000 resources: requests: cpu: "200m" memory: "300Mi" env: - name: PORT value : “3000”
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: autoscaling/v2alpha1 kind: HorizontalPodAutoscaler metadata: name: “node-app-hpa-policy" namespace: default spec: scaleTargetRef: apiVersion: apps/v1beta1 kind: Deployment name: “node-app-deployment" minReplicas: 5 maxReplicas: 10 metrics: - type: Resource resource: name: cpu targetAverageUtilization: 70 - type: Resource resource: name: memory targetAverageUtilization: 70
func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: v1 kind: Service metadata: name: “node-app“ labels: chart: “node-app-1.0.0” spec: type: NodePort ports: - port: 3000 selector: app: “node-app-selector"
$ helm package ./chart/node-app
$ helm package ./chart/node-app $ helm install ./node-app-1.0.0.tgz
$ helm package ./chart/node-app $ helm install ./node-app-1.0.0.tgz
$ helm package ./chart/node-app $ helm install ./node-app-1.0.0.tgz
Understanding Microservices Performance
PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
BROWSER TIME
BROWSER LOAD BALANCER TIME
BROWSER LOAD BALANCER WEB BFF TIME
BROWSER LOAD BALANCER WEB BFF ORDER SERVICE TIME
BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB TIME
BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB INVENTORY SERVICE TIME
MySQL BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB INVENTORY SERVICE TIME
MySQL BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB INVENTORY SERVICE MongoDB TIME
• Collects data from each enabled service
 • Propagates correlation ID using HTTP headers
 • Provides sampling, tracing, and debug capabilities • Collects microsecond timestamps
 • Correlates data in Zipkin server • Presents data in Zipkin dashboard Request Tracking: OpenTracing and Zipkin
const zipkin = require(‘appmetrics-zipkin’); const rest = require(‘rest'); const express = require('express'); const app = express(); app.get('/', (req, res) => { rest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); }); const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); });
• Collects data from each enabled service
 • Requires /metrics endpoint providing data
 • Provides storage and correlation capabilities • Provide customisable dashboard
 • Integrates with Graphana, Graphite, etc Microservice Metrics: Prometheus
const zipkin = require(‘appmetrics-zipkin’); const prometheus = require(‘appmetrics-prometheus’).attach(); const rest = require(‘rest'); const express = require('express'); const app = express(); app.get('/', (req, res) => { rest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); }); const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); });
• ‘appmetrics-dash’ provides self-hosted monitoring
 • Inbound and Outbound request performance • Resource and event loop monitoring • Request a node-report
 • Enable profiling and flame graphs Deep Analysis: ‘appmetrics-dash’ and Flame Graphs
const zipkin = require(‘appmetrics-zipkin’); const prometheus = require(‘appmetrics-prometheus’).attach(); const dash = require(‘appmetrics-dash’).attach(); const rest = require(‘rest'); const express = require('express'); const app = express(); app.get('/', (req, res) => { rest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); }); const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); }); ‘appmetrics-dash’
‘appmetrics-dash’
‘appmetrics-dash’
$ yo nodeserver$ yo nodeserver
developer.ibm.com/node
const rest = require(‘rest'); const express = require('express'); const CLSContext = require('zipkin-context-cls'); const {Tracer} = require('zipkin'); const {recorder} = require('./recorder'); const ctxImpl = new CLSContext('zipkin'); const tracer = new Tracer({ctxImpl, recorder}); const app = express(); const zipkinMiddleware = require('zipkin-instrumentation-express').expressMiddleware; app.use(zipkinMiddleware({tracer, serviceName: 'frontend'})); const {restInterceptor} = require('zipkin-instrumentation-cujojs-rest'); const zipkinRest = rest.wrap(restInterceptor, {tracer, remoteServiceName: ‘backend'});
 app.get('/', (req, res) => { zipkinRest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); });

Recommended

IBM Cloud University: Build, Deploy and Scale Node.js Microservices
IBM Cloud University: Build, Deploy and Scale Node.js MicroservicesIBM Cloud University: Build, Deploy and Scale Node.js Microservices
IBM Cloud University: Build, Deploy and Scale Node.js Microservices
Chris Bailey
 
Swift Cloud Workshop - Swift Microservices
Swift Cloud Workshop - Swift MicroservicesSwift Cloud Workshop - Swift Microservices
Swift Cloud Workshop - Swift Microservices
Chris Bailey
 
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreAutomated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
C4Media
 
AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)
AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)
AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)
Amazon Web Services
 
Transforming Infrastructure into Code - Importing existing cloud resources u...
Transforming Infrastructure into Code - Importing existing cloud resources u...Transforming Infrastructure into Code - Importing existing cloud resources u...
Transforming Infrastructure into Code - Importing existing cloud resources u...
Shih Oon Liong
 
Terraform at Scale
Terraform at ScaleTerraform at Scale
Terraform at Scale
Calvin French-Owen
 
Cannibalising The Google App Engine
Cannibalising The Google App EngineCannibalising The Google App Engine
Cannibalising The Google App Enginecatherinewall
 
How to test infrastructure code: automated testing for Terraform, Kubernetes,...
How to test infrastructure code: automated testing for Terraform, Kubernetes,...How to test infrastructure code: automated testing for Terraform, Kubernetes,...
How to test infrastructure code: automated testing for Terraform, Kubernetes,...
Yevgeniy Brikman
 

Recommended

IBM Cloud University: Build, Deploy and Scale Node.js Microservices
IBM Cloud University: Build, Deploy and Scale Node.js MicroservicesIBM Cloud University: Build, Deploy and Scale Node.js Microservices
IBM Cloud University: Build, Deploy and Scale Node.js Microservices
Chris Bailey
 
Swift Cloud Workshop - Swift Microservices
Swift Cloud Workshop - Swift MicroservicesSwift Cloud Workshop - Swift Microservices
Swift Cloud Workshop - Swift Microservices
Chris Bailey
 
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreAutomated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
C4Media
 
AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)
AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)
AWS re:Invent 2016: Amazon ECR Deep Dive on Image Optimization (CON401)
Amazon Web Services
 
Transforming Infrastructure into Code - Importing existing cloud resources u...
Transforming Infrastructure into Code - Importing existing cloud resources u...Transforming Infrastructure into Code - Importing existing cloud resources u...
Transforming Infrastructure into Code - Importing existing cloud resources u...
Shih Oon Liong
 
Terraform at Scale
Terraform at ScaleTerraform at Scale
Terraform at Scale
Calvin French-Owen
 
Cannibalising The Google App Engine
Cannibalising The Google App EngineCannibalising The Google App Engine
Cannibalising The Google App Enginecatherinewall
 
How to test infrastructure code: automated testing for Terraform, Kubernetes,...
How to test infrastructure code: automated testing for Terraform, Kubernetes,...How to test infrastructure code: automated testing for Terraform, Kubernetes,...
How to test infrastructure code: automated testing for Terraform, Kubernetes,...
Yevgeniy Brikman
 
Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Amazon Web Services
 
Final terraform
Final terraformFinal terraform
Final terraform
Gourav Varma
 
Run your Java apps on Cloud Foundry
Run your Java apps on Cloud FoundryRun your Java apps on Cloud Foundry
Run your Java apps on Cloud Foundry
Andy Piper
 
Debasihish da final.ppt
Debasihish da final.pptDebasihish da final.ppt
Debasihish da final.ppt
Kalkey
 
Helm intro
Helm introHelm intro
Helm intro
Haggai Philip Zagury
 
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Stephane Jourdan
 
Heat and its resources
Heat and its resourcesHeat and its resources
Heat and its resources
Sangeeth Kumar
 
Terraform - Taming Modern Clouds
Terraform - Taming Modern CloudsTerraform - Taming Modern Clouds
Terraform - Taming Modern Clouds
Nic Jackson
 
Developingapiplug insforcs-151112204727-lva1-app6891
Developingapiplug insforcs-151112204727-lva1-app6891Developingapiplug insforcs-151112204727-lva1-app6891
Developingapiplug insforcs-151112204727-lva1-app6891
NetApp
 
Heat optimization
Heat optimizationHeat optimization
Heat optimization
Rico Lin
 
Deploying deep learning models with Kubernetes and Kubeflow
Deploying deep learning models with Kubernetes and KubeflowDeploying deep learning models with Kubernetes and Kubeflow
Deploying deep learning models with Kubernetes and Kubeflow
DataPhoenix
 
Scaling terraform
Scaling terraformScaling terraform
Scaling terraform
Paolo Tonin
 
Introduction to Cloud Foundry #JJUG
Introduction to Cloud Foundry #JJUGIntroduction to Cloud Foundry #JJUG
Introduction to Cloud Foundry #JJUG
Toshiaki Maki
 
Terraform 101
Terraform 101Terraform 101
Terraform 101
Haggai Philip Zagury
 
Antons Kranga Building Agile Infrastructures
Antons Kranga Building Agile InfrastructuresAntons Kranga Building Agile Infrastructures
Antons Kranga Building Agile Infrastructures
Antons Kranga
 
Helm 3
Helm 3Helm 3
Helm 3
Matthew Farina
 
Comprehensive Terraform Training
Comprehensive Terraform TrainingComprehensive Terraform Training
Comprehensive Terraform Training
Yevgeniy Brikman
 
So I Wrote a Manifest
So I Wrote a ManifestSo I Wrote a Manifest
So I Wrote a Manifest
Puppet
 
(CMP302) Amazon ECS: Distributed Applications at Scale
(CMP302) Amazon ECS: Distributed Applications at Scale(CMP302) Amazon ECS: Distributed Applications at Scale
(CMP302) Amazon ECS: Distributed Applications at Scale
Amazon Web Services
 
BOSH / CF Deployment in modern ways #cf_tokyo
BOSH / CF Deployment in modern ways #cf_tokyoBOSH / CF Deployment in modern ways #cf_tokyo
BOSH / CF Deployment in modern ways #cf_tokyo
Toshiaki Maki
 
Node Summit 2018: Cloud Native Node.js
Node Summit 2018: Cloud Native Node.jsNode Summit 2018: Cloud Native Node.js
Node Summit 2018: Cloud Native Node.js
Chris Bailey
 
StrongLoop Overview
StrongLoop OverviewStrongLoop Overview
StrongLoop Overview
Shubhra Kar
 

More Related Content

What's hot

Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Amazon Web Services
 
Final terraform
Final terraformFinal terraform
Final terraform
Gourav Varma
 
Run your Java apps on Cloud Foundry
Run your Java apps on Cloud FoundryRun your Java apps on Cloud Foundry
Run your Java apps on Cloud Foundry
Andy Piper
 
Debasihish da final.ppt
Debasihish da final.pptDebasihish da final.ppt
Debasihish da final.ppt
Kalkey
 
Helm intro
Helm introHelm intro
Helm intro
Haggai Philip Zagury
 
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Stephane Jourdan
 
Heat and its resources
Heat and its resourcesHeat and its resources
Heat and its resources
Sangeeth Kumar
 
Terraform - Taming Modern Clouds
Terraform - Taming Modern CloudsTerraform - Taming Modern Clouds
Terraform - Taming Modern Clouds
Nic Jackson
 
Developingapiplug insforcs-151112204727-lva1-app6891
Developingapiplug insforcs-151112204727-lva1-app6891Developingapiplug insforcs-151112204727-lva1-app6891
Developingapiplug insforcs-151112204727-lva1-app6891
NetApp
 
Heat optimization
Heat optimizationHeat optimization
Heat optimization
Rico Lin
 
Deploying deep learning models with Kubernetes and Kubeflow
Deploying deep learning models with Kubernetes and KubeflowDeploying deep learning models with Kubernetes and Kubeflow
Deploying deep learning models with Kubernetes and Kubeflow
DataPhoenix
 
Scaling terraform
Scaling terraformScaling terraform
Scaling terraform
Paolo Tonin
 
Introduction to Cloud Foundry #JJUG
Introduction to Cloud Foundry #JJUGIntroduction to Cloud Foundry #JJUG
Introduction to Cloud Foundry #JJUG
Toshiaki Maki
 
Terraform 101
Terraform 101Terraform 101
Terraform 101
Haggai Philip Zagury
 
Antons Kranga Building Agile Infrastructures
Antons Kranga Building Agile InfrastructuresAntons Kranga Building Agile Infrastructures
Antons Kranga Building Agile Infrastructures
Antons Kranga
 
Helm 3
Helm 3Helm 3
Helm 3
Matthew Farina
 
Comprehensive Terraform Training
Comprehensive Terraform TrainingComprehensive Terraform Training
Comprehensive Terraform Training
Yevgeniy Brikman
 
So I Wrote a Manifest
So I Wrote a ManifestSo I Wrote a Manifest
So I Wrote a Manifest
Puppet
 
(CMP302) Amazon ECS: Distributed Applications at Scale
(CMP302) Amazon ECS: Distributed Applications at Scale(CMP302) Amazon ECS: Distributed Applications at Scale
(CMP302) Amazon ECS: Distributed Applications at Scale
Amazon Web Services
 
BOSH / CF Deployment in modern ways #cf_tokyo
BOSH / CF Deployment in modern ways #cf_tokyoBOSH / CF Deployment in modern ways #cf_tokyo
BOSH / CF Deployment in modern ways #cf_tokyo
Toshiaki Maki
 

What's hot (20)

Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
Docker on AWS with Amazon ECR & ECS - Pop-up Loft Tel Aviv
 
Final terraform
Final terraformFinal terraform
Final terraform
 
Run your Java apps on Cloud Foundry
Run your Java apps on Cloud FoundryRun your Java apps on Cloud Foundry
Run your Java apps on Cloud Foundry
 
Debasihish da final.ppt
Debasihish da final.pptDebasihish da final.ppt
Debasihish da final.ppt
 
Helm intro
Helm introHelm intro
Helm intro
 
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
Using Terraform.io (Human Talks Montpellier, Epitech, 2014/09/09)
 
Heat and its resources
Heat and its resourcesHeat and its resources
Heat and its resources
 
Terraform - Taming Modern Clouds
Terraform - Taming Modern CloudsTerraform - Taming Modern Clouds
Terraform - Taming Modern Clouds
 
Developingapiplug insforcs-151112204727-lva1-app6891
Developingapiplug insforcs-151112204727-lva1-app6891Developingapiplug insforcs-151112204727-lva1-app6891
Developingapiplug insforcs-151112204727-lva1-app6891
 
Heat optimization
Heat optimizationHeat optimization
Heat optimization
 
Deploying deep learning models with Kubernetes and Kubeflow
Deploying deep learning models with Kubernetes and KubeflowDeploying deep learning models with Kubernetes and Kubeflow
Deploying deep learning models with Kubernetes and Kubeflow
 
Scaling terraform
Scaling terraformScaling terraform
Scaling terraform
 
Introduction to Cloud Foundry #JJUG
Introduction to Cloud Foundry #JJUGIntroduction to Cloud Foundry #JJUG
Introduction to Cloud Foundry #JJUG
 
Terraform 101
Terraform 101Terraform 101
Terraform 101
 
Antons Kranga Building Agile Infrastructures
Antons Kranga Building Agile InfrastructuresAntons Kranga Building Agile Infrastructures
Antons Kranga Building Agile Infrastructures
 
Helm 3
Helm 3Helm 3
Helm 3
 
Comprehensive Terraform Training
Comprehensive Terraform TrainingComprehensive Terraform Training
Comprehensive Terraform Training
 
So I Wrote a Manifest
So I Wrote a ManifestSo I Wrote a Manifest
So I Wrote a Manifest
 
(CMP302) Amazon ECS: Distributed Applications at Scale
(CMP302) Amazon ECS: Distributed Applications at Scale(CMP302) Amazon ECS: Distributed Applications at Scale
(CMP302) Amazon ECS: Distributed Applications at Scale
 
BOSH / CF Deployment in modern ways #cf_tokyo
BOSH / CF Deployment in modern ways #cf_tokyoBOSH / CF Deployment in modern ways #cf_tokyo
BOSH / CF Deployment in modern ways #cf_tokyo
 

Similar to Node Interactive: Node.js Performance and Highly Scalable Micro-Services

Node Summit 2018: Cloud Native Node.js
Node Summit 2018: Cloud Native Node.jsNode Summit 2018: Cloud Native Node.js
Node Summit 2018: Cloud Native Node.js
Chris Bailey
 
StrongLoop Overview
StrongLoop OverviewStrongLoop Overview
StrongLoop Overview
Shubhra Kar
 
Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...
Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...
Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...
Daniel Bryant
 
Open shift enterprise 3.1 paas on kubernetes
Open shift enterprise 3.1 paas on kubernetesOpen shift enterprise 3.1 paas on kubernetes
Open shift enterprise 3.1 paas on kubernetes
Samuel Terburg
 
Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)
Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)
Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)
Docker, Inc.
 
Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs
Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs
Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs
AWS Chicago
 
MicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexus
MicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexusMicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexus
MicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexus
Emily Jiang
 
Ato2019 weave-services-istio
Ato2019 weave-services-istioAto2019 weave-services-istio
Ato2019 weave-services-istio
Lin Sun
 
Weave Your Microservices with Istio
Weave Your Microservices with IstioWeave Your Microservices with Istio
Weave Your Microservices with Istio
All Things Open
 
All Things Open 2019 weave-services-istio
All Things Open 2019 weave-services-istioAll Things Open 2019 weave-services-istio
All Things Open 2019 weave-services-istio
Lin Sun
 
London Node.js User Group - Cloud-native Node.js
London Node.js User Group - Cloud-native Node.jsLondon Node.js User Group - Cloud-native Node.js
London Node.js User Group - Cloud-native Node.js
Bethany Nicolle Griggs
 
What's New in Docker - February 2017
What's New in Docker - February 2017What's New in Docker - February 2017
What's New in Docker - February 2017
Patrick Chanezon
 
AWS Lambda with Serverless Framework and Java
AWS Lambda with Serverless Framework and JavaAWS Lambda with Serverless Framework and Java
AWS Lambda with Serverless Framework and Java
Manish Pandit
 
Cloud-native applications with Java and Kubernetes - Yehor Volkov
Cloud-native applications with Java and Kubernetes - Yehor Volkov Cloud-native applications with Java and Kubernetes - Yehor Volkov
Cloud-native applications with Java and Kubernetes - Yehor Volkov
Kuberton
 
Silicon Valley Code Camp 2019 - Reaching the Cloud Native World
Silicon Valley Code Camp 2019 - Reaching the Cloud Native WorldSilicon Valley Code Camp 2019 - Reaching the Cloud Native World
Silicon Valley Code Camp 2019 - Reaching the Cloud Native World
Chris Bailey
 
Amazon Web Services and Docker: from developing to production
Amazon Web Services and Docker: from developing to productionAmazon Web Services and Docker: from developing to production
Amazon Web Services and Docker: from developing to production
Paolo latella
 
IVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & Mobile
IVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & MobileIVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & Mobile
IVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & Mobile
Amazon Web Services Japan
 
Real World Lessons on the Pain Points of Node.JS Application
Real World Lessons on the Pain Points of Node.JS ApplicationReal World Lessons on the Pain Points of Node.JS Application
Real World Lessons on the Pain Points of Node.JS Application
Ben Hall
 
[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...
[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...
[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...
DevDay.org
 
Burn down the silos! Helping dev and ops gel on high availability websites
Burn down the silos! Helping dev and ops gel on high availability websitesBurn down the silos! Helping dev and ops gel on high availability websites
Burn down the silos! Helping dev and ops gel on high availability websites
Lindsay Holmwood
 

Similar to Node Interactive: Node.js Performance and Highly Scalable Micro-Services (20)

Node Summit 2018: Cloud Native Node.js
Node Summit 2018: Cloud Native Node.jsNode Summit 2018: Cloud Native Node.js
Node Summit 2018: Cloud Native Node.js
 
StrongLoop Overview
StrongLoop OverviewStrongLoop Overview
StrongLoop Overview
 
Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...
Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...
Canadian CNCF: "Emissary-ingress 101: An introduction to the CNCF incubation-...
 
Open shift enterprise 3.1 paas on kubernetes
Open shift enterprise 3.1 paas on kubernetesOpen shift enterprise 3.1 paas on kubernetes
Open shift enterprise 3.1 paas on kubernetes
 
Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)
Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)
Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)
 
Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs
Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs
Serverless Framework Workshop - Tyler Hendrickson, Chicago/burbs
 
MicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexus
MicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexusMicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexus
MicroProfile, Docker, Kubernetes, Istio and Open Shift lab @dev nexus
 
Ato2019 weave-services-istio
Ato2019 weave-services-istioAto2019 weave-services-istio
Ato2019 weave-services-istio
 
Weave Your Microservices with Istio
Weave Your Microservices with IstioWeave Your Microservices with Istio
Weave Your Microservices with Istio
 
All Things Open 2019 weave-services-istio
All Things Open 2019 weave-services-istioAll Things Open 2019 weave-services-istio
All Things Open 2019 weave-services-istio
 
London Node.js User Group - Cloud-native Node.js
London Node.js User Group - Cloud-native Node.jsLondon Node.js User Group - Cloud-native Node.js
London Node.js User Group - Cloud-native Node.js
 
What's New in Docker - February 2017
What's New in Docker - February 2017What's New in Docker - February 2017
What's New in Docker - February 2017
 
AWS Lambda with Serverless Framework and Java
AWS Lambda with Serverless Framework and JavaAWS Lambda with Serverless Framework and Java
AWS Lambda with Serverless Framework and Java
 
Cloud-native applications with Java and Kubernetes - Yehor Volkov
Cloud-native applications with Java and Kubernetes - Yehor Volkov Cloud-native applications with Java and Kubernetes - Yehor Volkov
Cloud-native applications with Java and Kubernetes - Yehor Volkov
 
Silicon Valley Code Camp 2019 - Reaching the Cloud Native World
Silicon Valley Code Camp 2019 - Reaching the Cloud Native WorldSilicon Valley Code Camp 2019 - Reaching the Cloud Native World
Silicon Valley Code Camp 2019 - Reaching the Cloud Native World
 
Amazon Web Services and Docker: from developing to production
Amazon Web Services and Docker: from developing to productionAmazon Web Services and Docker: from developing to production
Amazon Web Services and Docker: from developing to production
 
IVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & Mobile
IVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & MobileIVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & Mobile
IVS CTO Night And Day 2018 Winter - [re:Cap] Serverless & Mobile
 
Real World Lessons on the Pain Points of Node.JS Application
Real World Lessons on the Pain Points of Node.JS ApplicationReal World Lessons on the Pain Points of Node.JS Application
Real World Lessons on the Pain Points of Node.JS Application
 
[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...
[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...
[DevDay 2017] OpenShift Enterprise - Speaker: Linh Do - DevOps Engineer at Ax...
 
Burn down the silos! Helping dev and ops gel on high availability websites
Burn down the silos! Helping dev and ops gel on high availability websitesBurn down the silos! Helping dev and ops gel on high availability websites
Burn down the silos! Helping dev and ops gel on high availability websites
 

More from Chris Bailey

NodeJS Interactive 2019: FaaS meets Frameworks
NodeJS Interactive 2019: FaaS meets FrameworksNodeJS Interactive 2019: FaaS meets Frameworks
NodeJS Interactive 2019: FaaS meets Frameworks
Chris Bailey
 
Voxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaS
Voxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaSVoxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaS
Voxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaS
Chris Bailey
 
FaaS Meets Java EE: Developing Cloud Native Applications at Speed
FaaS Meets Java EE: Developing Cloud Native Applications at SpeedFaaS Meets Java EE: Developing Cloud Native Applications at Speed
FaaS Meets Java EE: Developing Cloud Native Applications at Speed
Chris Bailey
 
AltConf 2019: Server-Side Swift State of the Union
AltConf 2019: Server-Side Swift State of the UnionAltConf 2019: Server-Side Swift State of the Union
AltConf 2019: Server-Side Swift State of the Union
Chris Bailey
 
Server-side Swift with Swagger
Server-side Swift with SwaggerServer-side Swift with Swagger
Server-side Swift with Swagger
Chris Bailey
 
Index - BFFs vs GraphQL
Index - BFFs vs GraphQLIndex - BFFs vs GraphQL
Index - BFFs vs GraphQL
Chris Bailey
 
Swift Cloud Workshop - Codable, the key to Fullstack Swift
Swift Cloud Workshop - Codable, the key to Fullstack SwiftSwift Cloud Workshop - Codable, the key to Fullstack Swift
Swift Cloud Workshop - Codable, the key to Fullstack Swift
Chris Bailey
 
Try!Swift India 2017: All you need is Swift
Try!Swift India 2017: All you need is SwiftTry!Swift India 2017: All you need is Swift
Try!Swift India 2017: All you need is Swift
Chris Bailey
 
Swift Summit 2017: Server Swift State of the Union
Swift Summit 2017: Server Swift State of the UnionSwift Summit 2017: Server Swift State of the Union
Swift Summit 2017: Server Swift State of the Union
Chris Bailey
 
IBM Cloud University: Java, Node.js and Swift
IBM Cloud University: Java, Node.js and SwiftIBM Cloud University: Java, Node.js and Swift
IBM Cloud University: Java, Node.js and Swift
Chris Bailey
 
FrenchKit 2017: Server(less) Swift
FrenchKit 2017: Server(less) SwiftFrenchKit 2017: Server(less) Swift
FrenchKit 2017: Server(less) Swift
Chris Bailey
 
AltConf 2017: Full Stack Swift in 30 Minutes
AltConf 2017: Full Stack Swift in 30 MinutesAltConf 2017: Full Stack Swift in 30 Minutes
AltConf 2017: Full Stack Swift in 30 Minutes
Chris Bailey
 
InterConnect: Server Side Swift for Java Developers
InterConnect: Server Side Swift for Java DevelopersInterConnect: Server Side Swift for Java Developers
InterConnect: Server Side Swift for Java Developers
Chris Bailey
 
InterConnect: Java, Node.js and Swift - Which, Why and When
InterConnect: Java, Node.js and Swift - Which, Why and WhenInterConnect: Java, Node.js and Swift - Which, Why and When
InterConnect: Java, Node.js and Swift - Which, Why and When
Chris Bailey
 
Playgrounds: Mobile + Swift = BFF
Playgrounds: Mobile + Swift = BFFPlaygrounds: Mobile + Swift = BFF
Playgrounds: Mobile + Swift = BFF
Chris Bailey
 
Swift Summit: Pushing the boundaries of Swift to the Server
Swift Summit: Pushing the boundaries of Swift to the ServerSwift Summit: Pushing the boundaries of Swift to the Server
Swift Summit: Pushing the boundaries of Swift to the Server
Chris Bailey
 
O'Reilly Software Architecture Conf: Cloud Economics
O'Reilly Software Architecture Conf: Cloud EconomicsO'Reilly Software Architecture Conf: Cloud Economics
O'Reilly Software Architecture Conf: Cloud Economics
Chris Bailey
 
FrenchKit: End to End Application Development with Swift
FrenchKit: End to End Application Development with SwiftFrenchKit: End to End Application Development with Swift
FrenchKit: End to End Application Development with Swift
Chris Bailey
 
Node Summit 2016: Web App Architectures
Node Summit 2016: Web App ArchitecturesNode Summit 2016: Web App Architectures
Node Summit 2016: Web App Architectures
Chris Bailey
 
Cloud Economics
Cloud EconomicsCloud Economics
Cloud Economics
Chris Bailey
 

More from Chris Bailey (20)

NodeJS Interactive 2019: FaaS meets Frameworks
NodeJS Interactive 2019: FaaS meets FrameworksNodeJS Interactive 2019: FaaS meets Frameworks
NodeJS Interactive 2019: FaaS meets Frameworks
 
Voxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaS
Voxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaSVoxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaS
Voxxed Micro-services: Serverless JakartaEE - JAX-RS comes to FaaS
 
FaaS Meets Java EE: Developing Cloud Native Applications at Speed
FaaS Meets Java EE: Developing Cloud Native Applications at SpeedFaaS Meets Java EE: Developing Cloud Native Applications at Speed
FaaS Meets Java EE: Developing Cloud Native Applications at Speed
 
AltConf 2019: Server-Side Swift State of the Union
AltConf 2019: Server-Side Swift State of the UnionAltConf 2019: Server-Side Swift State of the Union
AltConf 2019: Server-Side Swift State of the Union
 
Server-side Swift with Swagger
Server-side Swift with SwaggerServer-side Swift with Swagger
Server-side Swift with Swagger
 
Index - BFFs vs GraphQL
Index - BFFs vs GraphQLIndex - BFFs vs GraphQL
Index - BFFs vs GraphQL
 
Swift Cloud Workshop - Codable, the key to Fullstack Swift
Swift Cloud Workshop - Codable, the key to Fullstack SwiftSwift Cloud Workshop - Codable, the key to Fullstack Swift
Swift Cloud Workshop - Codable, the key to Fullstack Swift
 
Try!Swift India 2017: All you need is Swift
Try!Swift India 2017: All you need is SwiftTry!Swift India 2017: All you need is Swift
Try!Swift India 2017: All you need is Swift
 
Swift Summit 2017: Server Swift State of the Union
Swift Summit 2017: Server Swift State of the UnionSwift Summit 2017: Server Swift State of the Union
Swift Summit 2017: Server Swift State of the Union
 
IBM Cloud University: Java, Node.js and Swift
IBM Cloud University: Java, Node.js and SwiftIBM Cloud University: Java, Node.js and Swift
IBM Cloud University: Java, Node.js and Swift
 
FrenchKit 2017: Server(less) Swift
FrenchKit 2017: Server(less) SwiftFrenchKit 2017: Server(less) Swift
FrenchKit 2017: Server(less) Swift
 
AltConf 2017: Full Stack Swift in 30 Minutes
AltConf 2017: Full Stack Swift in 30 MinutesAltConf 2017: Full Stack Swift in 30 Minutes
AltConf 2017: Full Stack Swift in 30 Minutes
 
InterConnect: Server Side Swift for Java Developers
InterConnect: Server Side Swift for Java DevelopersInterConnect: Server Side Swift for Java Developers
InterConnect: Server Side Swift for Java Developers
 
InterConnect: Java, Node.js and Swift - Which, Why and When
InterConnect: Java, Node.js and Swift - Which, Why and WhenInterConnect: Java, Node.js and Swift - Which, Why and When
InterConnect: Java, Node.js and Swift - Which, Why and When
 
Playgrounds: Mobile + Swift = BFF
Playgrounds: Mobile + Swift = BFFPlaygrounds: Mobile + Swift = BFF
Playgrounds: Mobile + Swift = BFF
 
Swift Summit: Pushing the boundaries of Swift to the Server
Swift Summit: Pushing the boundaries of Swift to the ServerSwift Summit: Pushing the boundaries of Swift to the Server
Swift Summit: Pushing the boundaries of Swift to the Server
 
O'Reilly Software Architecture Conf: Cloud Economics
O'Reilly Software Architecture Conf: Cloud EconomicsO'Reilly Software Architecture Conf: Cloud Economics
O'Reilly Software Architecture Conf: Cloud Economics
 
FrenchKit: End to End Application Development with Swift
FrenchKit: End to End Application Development with SwiftFrenchKit: End to End Application Development with Swift
FrenchKit: End to End Application Development with Swift
 
Node Summit 2016: Web App Architectures
Node Summit 2016: Web App ArchitecturesNode Summit 2016: Web App Architectures
Node Summit 2016: Web App Architectures
 
Cloud Economics
Cloud EconomicsCloud Economics
Cloud Economics
 

Recently uploaded

Corporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMSCorporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMS
Tendenci - The Open Source AMS (Association Management Software)
 
A Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of PassageA Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of Passage
Philip Schwarz
 
Graphic Design Crash Course for beginners
Graphic Design Crash Course for beginnersGraphic Design Crash Course for beginners
Graphic Design Crash Course for beginners
e20449
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Globus
 
How Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptxHow Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptx
wottaspaceseo
 
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfEnhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Jay Das
 
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System in TelanganaEnterprise Resource Planning System in Telangana
Enterprise Resource Planning System in Telangana
NYGGS Automation Suite
 
Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
takuyayamamoto1800
 
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxTop Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
rickgrimesss22
 
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, BetterWebinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
XfilesPro
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
AMB-Review
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
IES VE
 
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume MontevideoVitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
Matt Welsh
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
Globus
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
Paco van Beckhoven
 
RISE with SAP and Journey to the Intelligent Enterprise
RISE with SAP and Journey to the Intelligent EnterpriseRISE with SAP and Journey to the Intelligent Enterprise
RISE with SAP and Journey to the Intelligent Enterprise
Srikant77
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Globus
 
2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx
Georgi Kodinov
 

Recently uploaded (20)

Corporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMSCorporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMS
 
A Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of PassageA Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of Passage
 
Graphic Design Crash Course for beginners
Graphic Design Crash Course for beginnersGraphic Design Crash Course for beginners
Graphic Design Crash Course for beginners
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
 
How Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptxHow Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptx
 
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfEnhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
 
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System in TelanganaEnterprise Resource Planning System in Telangana
Enterprise Resource Planning System in Telangana
 
Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology Solutions
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
 
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxTop Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
 
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, BetterWebinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
 
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume MontevideoVitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume Montevideo
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
 
RISE with SAP and Journey to the Intelligent Enterprise
RISE with SAP and Journey to the Intelligent EnterpriseRISE with SAP and Journey to the Intelligent Enterprise
RISE with SAP and Journey to the Intelligent Enterprise
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
 
2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx
 

Node Interactive: Node.js Performance and Highly Scalable Micro-Services

  • 1. Highly Scalable
 Node.js Microservices 
 
 Chris Bailey (@Chris__Bailey) 
 Node.js and Swift Runtimes Chris Vignola (@ChrisVignola) 
 Cloud Native Node.js
  • 5. : Key Technologies Container Orchestration Package and Deploy
  • 6. : Key Technologies Container Orchestration MonitoringPackage and Deploy
  • 7. : Key Technologies Container Orchestration Monitoring Distributed TracingPackage and Deploy
  • 8. MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 9. 0 300 600 900 200 0 1,150 IO Speed • Performance • Scale MICROSERVICES: Key Performance Characteristics
  • 10. 0 300 600 900 200 0 1,150 IO Speed • Performance • Scale MICROSERVICES: Key Performance Characteristics
  • 11. 0 300 600 900 200 897 1,150 MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 12. 0 300 600 900 200 897 1,150 Startup • Availability • Scaling MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 13. 0 300 600 900 200 897 1,150 00.9 Startup • Availability • Scaling MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 14. 0 300 600 900 200 897 1,150 13.7 0.9 Startup • Availability • Scaling MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 15. 0 300 600 900 200 897 1,150 13.7 0.9 Startup • Availability • Scaling Memory • Efficiency • Cost MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 16. 0 300 600 900 200 897 1,150 13.7 0.9 023.6 Startup • Availability • Scaling Memory • Efficiency • Cost MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 17. 0 300 600 900 200 897 1,150 13.7 0.9 422 23.6 Startup • Availability • Scaling Memory • Efficiency • Cost MICROSERVICES: Key Performance Characteristics IO Speed • Performance • Scale
  • 18. Startup • Availability • Scaling Memory • Efficiency • Cost Benchmarking WG: Performance Gains IO Speed • Performance • Scale
  • 19. Startup • Availability • Scaling Memory • Efficiency • Cost 3,049 2,914 2,076 1,866 4.x master6.x 8.x Benchmarking WG: Performance Gains IO Speed • Performance • Scale
  • 20. Startup • Availability • Scaling Memory • Efficiency • Cost 50,42052,640 42,500 71,000 3,049 2,914 2,076 1,866 4.x master6.x 8.x 4.x master6.x 8.x Benchmarking WG: Performance Gains IO Speed • Performance • Scale
  • 21. Startup • Availability • Scaling Memory • Efficiency • Cost 50,42052,640 42,500 71,000 89,024 92,84091,47688,9603,049 2,914 2,076 1,866 4.x master6.x 8.x 4.x master6.x 8.x 4.x master6.x 8.x Benchmarking WG: Performance Gains IO Speed • Performance • Scale
  • 23. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore
  • 24. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore const appName = require('./../package').name; const express = require('express'); const log4js = require(‘log4js'); const logger = log4js.getLogger(appName); const app = express(); app.get('/', function (req, res) { res.send('Hello World!') }) const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); });
  • 25. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore
  • 26. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore FROM ibmcom/ibmnode ENV NODE_ENV production ENV PORT 3000 WORKDIR "/app" # Install app dependencies COPY package.json /app/ RUN cd /app; npm install # Bundle app source COPY . /app EXPOSE 3000 CMD ["npm", "start"]
  • 27. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore node_modules/ npm-debug.log
  • 28. $ docker build -t <your username>/node-app .

  • 29. $ docker build -t <your username>/node-app .
 $ docker run -p 49160:3000 -d <your username>/node-app
  • 30. $ docker build -t <your username>/node-app .
 $ docker run -p 49160:3000 -d <your username>/node-app
  • 31. $ docker build -t <your username>/node-app .
 $ docker run -p 49160:3000 -d <your username>/node-app
  • 32. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS
  • 33. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: v1 description: A Helm chart for Kubernetes name: node-app version: 1.0.0
  • 34. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: extensions/v1beta1 kind: Deployment metadata: name: “node-app-deployment" labels: chart: “node-app-1.0.0” spec: replicas: “5” revisionHistoryLimit: “1” template: metadata: labels: app: “node-app-selector" version: “1.0.0” spec: containers: - name: “node-app” image: “repository:1.0.0” imagePullPolicy: Always livenessProbe: httpGet: path: /health port: 3000 initialDelaySeconds: 3000 periodSeconds: 1000 resources: requests: cpu: "200m" memory: "300Mi" env: - name: PORT value : “3000”
  • 35. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: autoscaling/v2alpha1 kind: HorizontalPodAutoscaler metadata: name: “node-app-hpa-policy" namespace: default spec: scaleTargetRef: apiVersion: apps/v1beta1 kind: Deployment name: “node-app-deployment" minReplicas: 5 maxReplicas: 10 metrics: - type: Resource resource: name: cpu targetAverageUtilization: 70 - type: Resource resource: name: memory targetAverageUtilization: 70
  • 36. func add(_ a: Int, to b: Int) -> Void { print(a + b) } let a = ”5” let b = 3 public/* test/* server/server.js package.json README.md .gitignore Dockerfile Dockerfile-tools .dockerignore chart/node-app/Chart.yaml chart/node-app/templates/deployment.yaml chart/node-app/templates/hpa.yaml chart/node-app/templates/service.yaml chart/node-app/values.yaml HELM CHARTS apiVersion: v1 kind: Service metadata: name: “node-app“ labels: chart: “node-app-1.0.0” spec: type: NodePort ports: - port: 3000 selector: app: “node-app-selector"
  • 37. $ helm package ./chart/node-app
  • 38. $ helm package ./chart/node-app $ helm install ./node-app-1.0.0.tgz
  • 39. $ helm package ./chart/node-app $ helm install ./node-app-1.0.0.tgz
  • 40. $ helm package ./chart/node-app $ helm install ./node-app-1.0.0.tgz
  • 42. PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
  • 43. PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
  • 44. PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
  • 45. PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
  • 46. PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
  • 47. PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
  • 48. PUBLIC NETWORK CLOUD NETWORK CATALOG ORDER INVENTORY USER MySQL MongoDB SPARK ELASTICSEARCH BACKEND FOR
 FRONTEND MICROSERVICES SERVICES LOAD
 BALANCER
  • 53. BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB TIME
  • 54. BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB INVENTORY SERVICE TIME
  • 55. MySQL BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB INVENTORY SERVICE TIME
  • 56. MySQL BROWSER LOAD BALANCER WEB BFF ORDER SERVICE MongoDB INVENTORY SERVICE MongoDB TIME
  • 57. • Collects data from each enabled service
 • Propagates correlation ID using HTTP headers
 • Provides sampling, tracing, and debug capabilities • Collects microsecond timestamps
 • Correlates data in Zipkin server • Presents data in Zipkin dashboard Request Tracking: OpenTracing and Zipkin
  • 58. const zipkin = require(‘appmetrics-zipkin’); const rest = require(‘rest'); const express = require('express'); const app = express(); app.get('/', (req, res) => { rest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); }); const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); });
  • 59.
  • 60. • Collects data from each enabled service
 • Requires /metrics endpoint providing data
 • Provides storage and correlation capabilities • Provide customisable dashboard
 • Integrates with Graphana, Graphite, etc Microservice Metrics: Prometheus
  • 61. const zipkin = require(‘appmetrics-zipkin’); const prometheus = require(‘appmetrics-prometheus’).attach(); const rest = require(‘rest'); const express = require('express'); const app = express(); app.get('/', (req, res) => { rest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); }); const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); });
  • 62.
  • 63.
  • 64. • ‘appmetrics-dash’ provides self-hosted monitoring
 • Inbound and Outbound request performance • Resource and event loop monitoring • Request a node-report
 • Enable profiling and flame graphs Deep Analysis: ‘appmetrics-dash’ and Flame Graphs
  • 65. const zipkin = require(‘appmetrics-zipkin’); const prometheus = require(‘appmetrics-prometheus’).attach(); const dash = require(‘appmetrics-dash’).attach(); const rest = require(‘rest'); const express = require('express'); const app = express(); app.get('/', (req, res) => { rest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); }); const port = process.env.PORT || 3000; app.listen(port, function(){ logger.info(`Express listening on: ` + port); }); ‘appmetrics-dash’
  • 68. $ yo nodeserver$ yo nodeserver
  • 70. const rest = require(‘rest'); const express = require('express'); const CLSContext = require('zipkin-context-cls'); const {Tracer} = require('zipkin'); const {recorder} = require('./recorder'); const ctxImpl = new CLSContext('zipkin'); const tracer = new Tracer({ctxImpl, recorder}); const app = express(); const zipkinMiddleware = require('zipkin-instrumentation-express').expressMiddleware; app.use(zipkinMiddleware({tracer, serviceName: 'frontend'})); const {restInterceptor} = require('zipkin-instrumentation-cujojs-rest'); const zipkinRest = rest.wrap(restInterceptor, {tracer, remoteServiceName: ‘backend'});
 app.get('/', (req, res) => { zipkinRest('http://localhost:9000/api') .then(response => res.send(response.entity)) .catch(err => console.error('Error', err.stack)); });