The Future is Open Hybrid Cloud and Open Operations

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Chris Wright, CTO

What Is Cloud?

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Developer Velocity

It’s not just about service abstraction.

Operational Excellence

Elasticity

Cloud Is Driven By Mega-Trends

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The Economics OfModern Apps

The Changing, Distributed Datacenter

A Renaissance In Hardware

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The Economics Of Modern

Applications

TRADITIONAL COMPANIES

CLOUD-NATIVE COMPANIES

Manage their own datacenters...

...Struggle to migrate legacy workloads to the cloud.

Minimal initial capex costs...

...Struggle to manage cost & complexity with scale.

Modern Applications Cause Infrastructure Concerns

CLOUD MEGA TRENDS

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The Changing, Distributed Datacenter

CLOUD MEGA TRENDS

More and smarter devices drive massive

amounts of data...

...More data pushes Compute further out to

the network Edge...

...Requiring robust, non-centralized data

production & processing.

The Concept of a Datacenter Is Changing

● “Public Cloud vendors have spent a decade trying to convince the industry that all compute cycles are equal.”

● “Alternatives to general purpose microprocessors—like GPU computing performance—are surging due in part to the demands of machine learning workloads.”

● Now exposes over 100 individual machine types.

The Rise of Heterogeneous Compute.

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A Renaissance In Hardware

CLOUD MEGA TRENDS

As Device Physics Limit Transistor Density, Alternatives Have Emerged.

The Issue: Baseline Power Necessary Per Transistor.

Moore’s Law...and Dennard Scaling?

● Dennard (1974): “voltage and current should be proportional to the linear dimensions of a transistor.”

○ Reducing transistor size & voltage increases transistor density & speed while maintaining power density

● Reality: Dennard Scaling has a limit -- as transistors get smaller, power density does eventually increase.

○ Result is a “Power Wall” that limits processor frequency.

New Workloads Demand New Hardware.

Data Makes Hardware Matter Again

As Cloud Evolves, Operationalizing Software Becomes A Core Expectation

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Access is not enough -- operability is required

1. Code Repository2. Commoditized Access3. Democratized Pricing

EMERGENT CLOUD MODEL

1. Code Repository2. Commoditized Access3. Democratized Pricing

4. Operated and Monitored:Customer can focus on core business, leave scale concerns to others

Customer: develop deployment & operational expertise

TRADITIONAL OPEN SOURCE MODEL

Open Operations

Building An Ecosystem With Open Operations

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Services Run At ScaleAll interesting software services today run at scale, either on a cloud or at the edge

Scale Is HardPublic clouds have built huge competency and many tools around operating at scale so you don’t have to

But...

Open Operations

As Public Clouds Grew, Ops Did Too

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The ability to operate at scale is now as important as the application you operate

Open Operations

Public Cloud Operations Are Locked Up Tight

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Develop In An Open UpstreamIn an open cloud, open source communities can have the same advantages -- scale testing, continuous deployment -- as developers inside the hyperscale cloud providers.

Freedom To ChooseUsers and developers should have a wide range of services to choose from, regardless of the cloud they choose to use

Parity Across CloudsWith an open cloud as upstream, open hybrid cloud can have ecosystem parity with proprietary public clouds.

Open Operations

Build An Open Cloud Ecosystem

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When (micro) services operate together in the open, users and developers win

Open Operations

Open Operations Opens The Door To Scale...

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Open Operations

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We scale open operations with autonomic computing.

Encapsulate operational excellence in the products and supporting services, using Operators, Insights,

and AI.

Match service availability through a commitment to Open Source, and a broad

ecosystem of partners.

Any application, any footprint. Embrace the

OSS history of distributed compute, capitalizing on

the renewed trend to de-centralization (Edge).

Embody the principles of elasticity, developer

velocity and operational excellence.

Autonomous Open Hybrid Cloud

… But Scale Requires Automation

How?

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Open source communities and product companies must run every feature and every bug fix in a

mission critical and user facing use case before it becomes part of a product.

“Upstream First” “Operate First”+

Ops And The MOC

Open Operations Run The Mass Open Cloud

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Researchers And StudentsThese users not only drive the ecosystem and scale that open source communities need, they generate new ideas using open data to make operations better.

CommunitiesUsing the MOC, open source communities can operate cheaply at scale, adding capacity on commercial clouds when the time is right.

Industry and UniversitiesOpen operations solidifies industry platform offerings, and the MOC and New England Research Cloud makes research computing more economical.

Ops And The MOC

Universities, Industry, Researchers, Students, And Communities

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Uniquely, MOC brings all these groups together to build the open cloud

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Heterogenous Compute

Proving Ground

MOC: Proving Ground for Heterogenous Compute

Ops And The MOC

Heterogenous compute must be openData demands FPGAs, accelerators, ASICS and traditional CPUs operate in concert. With multiple architectures and multiple vendors, we need a common protocol.

MOC: An open space for innovationThe MOC provides a common location for experimentation and testing. Everything from compilers to toolchains to APIs can develop in the open in this environment.

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Ops And The MOC

Mass Open Cloud: Level The Playing Field For Open Source

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Open source projects can develop with the same advantages public cloud devs have today

Ops And The MOC

Mass Open Cloud: A Reference Implementation For All

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Provide a working example at a scale that is digestible for enterprises

Universities and enterprises need to operate infrastructure at scale, but not at hyperscale.

Mass Open Cloud will provide a open reference architecture, tools for automation, and an

ecosystem of services that are available to all.

Red Hat And The MOC

MOC: Our Commitment

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Red Hat product portfolio on the MOC

Other public clouds

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Red Hat Advanced Cluster Management for Kubernetes

Edge

Red Hat And The MOC

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University Ops Staff At Red HatConsider embedding university ops folks in Red Hat SRE teams

ESI DevelopmentRed Hat Research continues development on ESI, on-boarding, other MOC support software

Training OpportunitiesIntern and Co-Op trainees on MOC SRE team provides continuity and makes more ops folks

Operations for OpenShift and Open Data HubBuilding an SRE team for MOC from the ground up

Red Hat And The MOC

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15Papers Published by Red Hat/BU Projects Last Year

$6.35 millionNew Associated Grants Awarded Last Year

Over $1 millionAssociated Grant Proposals in Progress

Continuing Research Support At BU Cloud research -- projects like unikernel Linux, open FPGA tools, elastic infrastructure -- continues

Red Hat And The MOC

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Thank you

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