CNCF & State of Serverless

Lee Calcote & Girish Ranganathan

Innovate Summit 2017

innovate.solarwinds.io

Lee Calcote

Girish Ranganathan

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@lcalcote

Dr.

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What is the CNCF?

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• Foster growth and evolution of ecosystem
• Promote underlying technologies
• Provide stewardship for projects
• Make technologies accessible and reliable

CNCF Members

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CNCF Landscape

CNCF Working Groups

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Solarwinds Participation

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• Our products included in Cloud Native Landscape.
• Our works highlighted in CNI project adoption.
• We are on the OpenTracing Specification Council.
• SolarWinds working within Serverless WG.
  • Published Serverless white paper. Creating OpenEvents.
     

• Founding the OpenMetrics working group.

• Integrating with Istio and OpenCensus.

Serverless WG

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• Formed in June 2017 at the request of CNCF Technical Oversight Committee (TOC)
   
• Asked for state of tech/community & recommendations for possible involvement
   
• Most key Serverless players involved
   
• IBM, VMWare, Google, Red Hat, Huawei, Microsoft, SolarWinds, Docker, iguazio, Amazon, MasterCard, Pivotal, Serverless Inc., Clay Labs, The New Stack, A Cloud Guru, Platform9, Bitnami, Auth0, and Hyper 

Serverless WG

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• Describes & defined Serverless
• Highlights promising use cases and areas where they’ve already proven value
• Differentiates Serverless from PaaS and Container Orchestration
• Describes the mechanics of a generic Serverless system
• Identifies potential future "harmonization" the WG could look at 

Serverless WG:

White Paper

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Creating a common model for event data, similar to CNI and CSI. Coalescing on a single format between a few proposals:

• Cloud-Native Event Mapping (CNEM) – (iguazio)

• OpenEvents – (Serverless, Inc.)

• Cloud Auditing Data Federation – (IBM, DMTF)

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• Maintain a matrix and landscape of serverless implementations and features.
• Produce additional documents and samples that educate users on serverless apps.
• Document integration with other CNCF projects, such as how to monitor and observe.
• Potential collaboration on a declarative packaging format specification.

Serverless WG:

Other Areas of focus

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Functions as a Service

Server

Enterprise DataCenter

Monolith

VM

Co-location

N-Tiered

Container

Cloud

Microservices

Function

Multi/Hybrid Cloud

Serverless

Transitional phases to Serverless

But why?

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VM

VM

VM

VM

λ

The Promised Land

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No compute cost when idle.

Flexible and precise scaling.

No provisioning, updating, and managing server infrastructure.

When to use...

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• Asynchronous, concurrent, easy to parallelize into independent units of work
• Infrequent or has sporadic demand, with large, unpredictable variance in scaling requirements
• Stateless, ephemeral, without a major need for instantaneous cold start time
• Highly dynamic in terms of changing business requirements that drive a need for accelerated developer velocity

consider serverless when your workload is:

IoT & Stream Analysis
Common Use Cases

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Text

Example workloads

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• Executing logic in response to database changes (insert, update, trigger, delete)
• Performing analytics on IoT sensor input messages (such as MQTT messages)
• Handling stream processing (analyzing or modifying data in motion)
• Managing single time extract, transform, and load jobs that require a lot of processing for a short time (ETL jobs)

• Providing cognitive computing via a chat bot interface (asynchronous, but correlated)

• Scheduling tasks performed for a short time, such as cron or batch style invocations

• Serving machine learning and AI models (retrieving one or more data elements such as tables, NLP, or images and matching against a pre-learned data model to identify text, faces, anomalies, etc.)

• Continuous integration pipelines that provision resources for build jobs on-demand, instead of keeping a pool of build slave hosts waiting for jobs to be dispatched

some of these include:

Surveillance - Common Use Cases

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Text

Serverless

Pain

Points

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1. Developer: writes code for, and benefits from, the serverless platform which provides them the point of view that there are no servers nor that their code is always running.
    

2. Provider: deploys the serverless platform for an external or internal customer.

Primary Personas

FaaS Landscape

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• Serverless for Real-Time Events and Data Processing
• Comprehensive, Open, Portable and Super Fast “Serverless” by Iguazio
• Packaging
  • Used as a standalone binary (for example, for IoT devices),
  • Docker container
• Runs on
  • Rasperberry Pi
  • Docker
  • Kubernetes
  • GCE

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What is Nuclio

Architecture

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Function Processor

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Event Sources

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Lets do it. . .

Thank you. Questions?

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