Talk by Daniel Leahy and Nic Gibson, given at the Google Cloud Meetup on March 3, 2020, hosted by Nine Internet Solutions AG - Your Swiss Managed Cloud Service Provider.

1. Techtalk
Approaches to
Cloud Native
Daniel Leahy & Nic Gibson
Google Cloud Zurich

2. Proprietary + Confidential
Your Customers Are
Changing
Proprietary + Confidential
Your Business is
Changing

3. How Application
Development Changed
● Waterfall → Agile
● Physical Servers → Containers
● Closed Source → Open Source
● Application Servers → Embedded in code
● Monoliths → Microservices
● ESB → Service Mesh
● C & Assembler → JS, Python & Go
● Rise of Frameworks
● Public APIs
● Mobile Apps

4. Compute Options

5. Compute Options
IaaS (GCE)
Virtual Machines
You manage
everything on top
of the Hypervisor
KaaS (GKE)
Containers
You manage
everything on
top of
Kubernetes
CaaS (Run)
Containers
You manage
everything
within your
containers
PaaS (GAE)
Apps
You manage
your application
and
dependencies
FaaS (GCF)
Functions
You manage
your functions
and
dependencies

6. Of course, all the services run
on a physical server in the real
data center. You just don’t have
to take care of them. You can
focus on the important things.

7. Proprietary + Confidential
Accelerating Innovation: a Platform Approach
Networking
Storage
Servers
Virtualization
Operating System
Middleware
Runtime
Data
ApplicationYouManage
Networking
Storage
Servers
Virtualization
Operating System
Middleware
Runtime
Data
Application
YouManage
IaaS
On-prem
or
On-Cloud
Unified
Platform

8. Microservice Design
Recommendations
● Be Customer Driven
● CRUD Operations Are Great Candidates
● Provide APIs
● Favor asynchronous requests
● Make apps stateless
● Know Your Latencies And Trace Requests
● Use The “Database per Service” Pattern
● Know “Why” You Are Using Microservices
● Follow The 12 Factors
● Think 10X

9. Confidential & Proprietary
What We Mean By “Serverless”
Programming model
Focus on code
Event-driven
Stateless
Operational model Billing model
Pay for usageZero ops
Automatic scaling
Managed security

10. Microservice sprawl

11. Proprietary + Confidential
It’s all about the apps: the Cloud Native Maturity Model
Cloud Native
Cloud Resilient
Cloud Friendly
Cloud Ready
Microservices, API-first architecture
DevOps, CI/CD, Zero Downtime Updates
Fault Tolerant and Resilient
Metrics and monitoring
Tested for failure modes
12 Factor methodology
Stateless services, Horizontal scalability
Leverage platform for scale and availability
Externalized storage and caching
Self contained
Platform managed configuration and services

12. Proprietary + Confidential
Platform Design
Scale
Resiliency
Automation
Security
Autoscale infrastructure as needed
Optimize infrastructure for use cases (CPU, Memory)
Provide Scale-Out data services
Design for failure
Distribute over multiple zones and regions
Have Infrastructure respond intelligently
No manual maintenance
Canary deploys and rollbacks
Immutable, Disposable infrastructure
Monitoring and Alerting to meet Service Objectives
Auto-rotate credentials and nodes
Automate regular node & pod replacements
Container scanning

13. Beyond Kubernetes: Reintroducing Serverless
● Serverless is not new
○ AWS Lambda et. al. took the world by storm
○ Google App Engine has been around since 2008
● But existing solutions provided vendor lock-in, and often limited
runtimes
● For many, Kubernetes was the perfect abstraction layer

14. 😁 Want to
Write code
😱 Still Have to
Build docker image locally
Upload image to registry
Deploy service
Expose to the internet
Setup logging & monitoring
Scale workload...
Kubernetes for developers

15. Anthos: Bringing the cloud to you.
CI/CD
Logging &
monitoring
Service
management
Serverless
MarketplaceOn-prem
Cloud
Config.
management
Solutions
Core Services

16. Cloud Run
Bringing serverless to containers
Introducing

17. Cloud Run
Fully serverless
No cluster to manage
Pay for what you use
Cloud Run on GKE
Serverless developer experience
Runs in your GKE cluster
Pay for provisioned resources
Serverless containers, where you want them

18. Cloud Run
GKE
Managed Kubernetes
Knative
Compatible
😁 Want to
Write code
😁 Don’t Have to
Build docker image locally
Upload image to registry
Deploy service
Expose to the internet
Setup logging & monitoring
Scale workload...
Cloud Run on GKE for developers

19. Products
Google Cloud Run Red Hat OpenShift SAP Kyma
Pivotal Function Service IBM Cloud Kubernetes Service TriggerMesh
Build Serving
KubernetesPlatform
Primitives Events ...
Knative-based products

20. Knative Momentum
Long tail of contributors
drive community momentum
VMware, Huawei, Cisco, TriggerMesh, Dropbox, SAP,
Microsoft, Schibsted, Apache, Independent, China
Mobile NTT, CloudBees, Caicloud, Inovex, Docker,
Heureka, CNCF, Liz Rice, Zalando, Douyu.com, Nebula.
OpsGenie. Terracotta, Eldarion, Giant Swarm, Heroku,
Revolgy, SORINT.lab, Switch, Ticketmaster, Virtustream,,
Alipay, Blue Box, Cruise Automation, EPAM Systems,
EVRY, Foreningen Kollegienet Odense, Giddyinc, IPB,
Manifold.co, Orange, Puppet, Stark & Wayne,
Weaveworks, Disney Interactive, Ivx, Mediative,
Ministère de l'Agriculture et de l'Alimentation,
NatureServe, Samsung SDS. Typeform, Wise2c
Knative contributions by company, avg % since launch
Source: CNCF knative.teststats.cncf.io
Redhat (9%)
Google (61%)
Pivotal (6%)
IBM (4%)
All others (20%)

21. Software Delivery
on cloud is
becoming critical
Anthos is Google’s hybrid product
enabling use and management of
Kubernetes/GKE and friends
everywhere.
Control Plane
Marketplace
Cloud Services
Other Clouds

22. © 2018 Google LLC. All rights reserved.
Continuous Integration (CI)
The practice of merging the work products
of individual developers together into a
repository regularly. The primary purpose is
to enable early detection of integration
bugs, resulting in tighter cohesion and more
development collaboration.
Continuous Delivery (CD)
A software engineering approach in which
teams produce software in short cycles and
use processes ensuring that the software
can be reliably released to production at any
time.
What is CI/CD?
An approach that helps reduce the risk of delivering changes by allowing for more
frequent and incremental updates to applications in production.

23. Software Delivery on GCP
Run Continuous
Integration (CI) steps
and build containers
with Cloud Build
Store containers in
Container Registry
Use Spinnaker for
Continuous Deployment (CD)
Run, auto-scale,
and heal your app
(Kubernetes Engine,
App Engine,
Compute Engine,
Cloud Functions)
Monitor, debug, and optimize
your apps and services using Stackdriver
Let Istio secure
and manage
your services
Push code to
revision control
repository

24. Software Delivery on GCP
Run Continuous
Integration (CI) steps
and build containers
with Cloud Build
Store containers in
Container Registry
Use Spinnaker for
Continuous Deployment (CD)
Run, auto-scale,
and heal your app
(Kubernetes Engine,
App Engine,
Compute Engine,
Cloud Functions)
Monitor, debug, and optimize
your apps and services using Stackdriver
Let Istio secure
and manage
your services
Push code to
revision control
repository
Build
Run

25. © 2018 Google LLC. All rights reserved.
Best Practices for Effective Pipelines
● Full automation with the exception of manual approval gates.
● No bottlenecks, i.e. delays in promoting a given code change do not block
other, potentially more critical changes from being promoted.
Speed
● Changes are thoroughly tested before being deployed to production.
● Production deploys are performed in a safe manner, e.g. canary or blue/green
to reduce risk, with failures triggering an automatic rollback to the prior version.
Quality
● Pipelines are fully integrated with the SCM branching and merging strategy.
● Important events (failures, etc.) trigger alerts to the appropriate stakeholders.
● Each artifact is marked with the metadata necessary to trace how it was
produced and the path it has taken in the pipeline.
Visibility
Scalability
● Stages that are common across pipelines are organized into a library to be
centrally managed and highly reused.

26. How ready is GCP for Hybrid / Multi-Cloud?
Platform as a Service Deployment Tools
Developers
End Users
CI/CD and DevOps
Store Containers
Container Registry
Deploy Changes
Spinnaker on GKE
CaaS
Kubernetes EngineDevelop & Merge
Source Repositories
Trigger & Build
Cloud Build
Monitor Systems
Stackdriver
FaaS
Cloud Functions
Microservices
Control/Audit
Istio
Microservices Microservices
Deployment
Manager
Terraform
Loose Coupling
and Partner APIs
Multi / Hybrid
Partner
Systems

27. How ready is GCP for Hybrid / Multi-Cloud?
Developers
End Users
Store Containers
Container Registry
Develop & Merge
Source Repositories
Trigger & Build
Container Builder
FaaS
Cloud Functions
Microservices Microservices
Deployment
Manager
Multi / Hybrid
Partner
Systems
Platform as a Service Deployment Tools
CI/CD and DevOps
Deploy Changes
Spinnaker on GKE
CaaS
Kubernetes Engine
Monitor Systems
Stackdriver
Microservices
Control/Audit
Istio
Terraform
Loose Coupling
and Partner APIs
✔ ✔ ✔
✔ ✔

28. Open Source for Cloud Native and
Cloud Agnostic Approach
Borg
2012
2002
2004
2006
2008
2010
GFS
MapReduce
Bigtable Dremel
Colossus
FlumeJava
Spanner
Kubernetes
2015
2018
TensorFlow

29. see the documentation
GCP Marketplace
Explore, launch, and manage solutions in just a few clicks
Production-grade software offering
Quickest way to explore, launch, manage pre-built solutions and
services on Google Cloud
Unified billing
Built on top of Deployment Manager

30. GCP Marketplace for Anthos lets you manage
production-grade 3rd party software in just a few
clicks.
● Deploy packaged Kubernetes applications to
wherever Anthos runs
● Single bill for GCP and 3rd party services
● Managed updates

31. Migrate for Anthos
Bringing the power of containers to existing workloads.
● Live migrate VMs into containers in GKE:
○ Service processes converted into Dockerfiles
○ Disks imported to Persistent Volumes
○ Everything assembled in a StatefulSet
● Capitalize on Kubernetes APIs and unified logging and
monitoring
● Migrate from VMs to Google Kubernetes Engine (GKE)

32. Analyze GIS data
in BigQuery with
familiar SQL
BigQuery GIS
Accurate spatial analyses with Geography
data type over GeoJSON and WKT formats
Support for core GIS functions –
measurements, transforms, constructors,
etc. – using familiar SQL
Automate data
delivery
Make insights
accessible
Tee up real-time
insights
Protect business
data
Simplify data
operations
Build the
foundation for ML
& AI

33. Smart city innovations,
enabled by BigQuery
Predicting hazardous driving behavior
Using BigQuery ML and BigQuery GIS
Weather
datasets
External
GIS data
BigQuery
2.5B streaming
inserts, daily
Automate data
delivery
Make insights
accessible
Tee up real-time
insights
Protect business
data
Simplify data
operations
Build the
foundation for ML
& AI

34. The future of applications, and the infrastructure that
they run on, is created with containerized
microservices, managed through a declarative
system with a single control experience that uses a
service mesh to spans all application locations.
Google’s POV

35. Cloud Native, Cloud Agnostic
“Our customers will benefit from the winning
combination of Temenos’ functionally rich and
technologically advanced digital banking platform on
Google Cloud. Together, we will enable banks to
reduce their time to market and operational
complexity, as well as elastically scale and deliver
outstanding digital customer experiences. With
Google Cloud’s Anthos, we give banks the freedom
to innovate and reap the true benefits of
multi-cloud.” Max Chuard, CEO Temenos

36. No more trade-offs
Development is agile and rapid, without
causing a security risk - policies are universal
Engineering culture is unified, not segmented
Portability and reliability are inherent
Freedom is granted despite enterprise grade
delivery capabilities
Customers aren’t penalized for their legacy or
preference