and open operations the future is open hybrid cloud · open source communities need, they generate...
TRANSCRIPT
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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