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Hello everyone,

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I want to thank you
for, uh, joining me

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on this, uh, journey through
Cloud Computing Concepts.

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This is the first part

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of the Cloud Computing
Concepts course,

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which is a two part course.

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Uh, this course here

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is about the internals
of cloud computing.

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This means that
we'll go underneath the hood

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and look at the distributed systems concepts,

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and the distributed algorithms,

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and the distributed techniques,

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that underlie today's
cloud computing technologies.

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This course is not about
how to write cloud systems

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or cloud applications.

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There is a separate course,

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uh, that's coming up,
called Cloud Applications.

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Uh, and, uh, this course
is not about networking either,

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in the cloud.

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There's a separate course

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called Cloud Networking
that's coming up,

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uh, that's about networking inside the Cloud.

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Uh, both, uh, w-well all
of these courses,

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the Cloud Computing
Concepts course, this course,

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both parts, as well as,
the Cloud Applications course

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and the Cloud Networking course

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are part
of a Cloud Specialization,

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which is being offered,
uh, to students.

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What we'll discuss in this
cloud computing concepts course,

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uh, both part one
and part two is, uh,

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three things.

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Uh, concepts

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that underlie today's
cloud computing systems,

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especially,
distributed systems concepts.

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Uh, techniques, uh,
that are used, uh,

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fairly widely, in a variety

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of cloud computing
systems today.

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And we'll also, uh,

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while discussing concepts
and techniques, uh, look at, uh,

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some facets and some aspects
of industry systems

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including open source systems,

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uh, like Hadoop and NoSQL storage systems and many others.

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So the cloud competing
concepts course

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is really a mix
of distributed systems, uhh,

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er, with a mix
of distributed algorithms.

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And both of these combined
as applied, uh,

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to cloud computing systems
as they are today.

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So what we'll discuss
in this first part,

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the first five week, uh,

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part of the Cloud Computing Concepts course.

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Eh, first we'll have
an introduction to Clouds,

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what they are,

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why they are, the way they are.

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Uh, we'll look at Mapreduce
and Key-value stores,

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uh, two of the, uh, emerging, subareas of cloud computing.

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Then we look at some
of the precursors,

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previous generations
of cloud computing systems,

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like Peer-to-peer systems
and Grids,

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that, uh, are ancestors,

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parents of, uh,
today's cloud computing systems.

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Then we'll, uh,
go underneath the hood

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and start to look at
widely used algorithms,

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for Gossip, Membership,
Paxos for consensus,

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uh, and also
classical algorithms, including,

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Time and Ordering, Snapshots, and, uh, Multicast.

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Along the way, uh,
in some weeks,

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we'll have interviews
with leading managers

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and researchers from industry, as well as, academia,

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uh, and I hope these will be interesting to you, as well.

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The, um, uh,

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the course is structured so that you can learn as you move along,

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uh, so there are two home works,

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uh, spread throughout
the course,

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uh, uh, as well as,
a programming assignment.

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The programming assignment
is optional.

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It involves, uh,
writing code inside an emulator.

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In the first part of C3,
uh, course,

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uh, you will be writing, uh,
a membership protocol

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inside an emulator
that we will provide to you.

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We'll provide you the template,

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the C++ template
and you can write it.

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Again, the programming assignment is optional.

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The two required, uh,
portions of this course

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are the two home works
and the one final exam.

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Well, cloud computing is
an exciting area to be studying,

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to be working in.

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And, uh,

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it is also a very dynamic
and continuously changing area.

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And that's what, uh,

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that's part of what
makes it exciting, as well.

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I'm really looking forward
to working with you

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and interacting with you

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as this course
move al-moves along.

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Uh, come join me as we start
our tour of the cloud computing

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concepts landscape.