Cloud, jak ho chápeme v Googlu

Filip Hráček, Google ČR, duben 2011

O čem budu povídat...

Dnešní "cloud"
Cloud světlých zítřků

"Cloud"

Does CLOUD COMPUTING just means your servers are SOMEWHERE ELSE? Or is it SOMETHING MORE? WHY put your servers in the cloud? - Don’t want to MANAGE servers? - Or is it the ELASTICITY and SCALABILITY of the cloud? - If so, you NEED: DISTRIBUTED cloud computing

Proč je cloud taková bolest?

Dnes většina z nás klasický serverový stack. I Twitter jel dlouhou dobu na obyčejném SQL.

Cloud computing vyžaduje mind shift.

Wikipedia: Distributed computing

Consider the computational problem of finding a coloring of a given graph G. Different fields might take the following approaches:

Centralized algorithms
- The graph G is encoded as a string, and the string is given as input to a computer. The computer program finds a coloring of the graph, encodes the coloring as a string, and outputs the result.
Parallel algorithms
- [...]
- Again, the graph G is encoded as a string. However, multiple computers can access the same string in parallel. Each computer might focus on one part of the graph and produce a colouring for that part.
- The main focus is on high-performance computation that exploits the processing power of multiple computers in parallel.
Distributed algorithms
- The graph G is the structure of the computer network. There is one computer for each node of G and one communication link for each edge of G. Initially, each computer only knows about its immediate neighbours in the graph G; the computers must exchange messages with each other to discover more about the structure of G. Each computer must produce its own colour as output.
- The main focus is on coordinating the operation of an arbitrary distributed system.

Cloud Computing

Odspodu nahoru => Infrastructure as a Service, Platform as a Service, Software as a Service. * evoluce * 1 mašina on site - vyhoří * více mašin on site - většinu času se nudí * mašiny v cloudu - lepší, ale neřeší škálovatelnost, stále staré řešení, akorát jste outsourcovali zametání kolem mašin - ale co když jedna vyhoří? * pokud si neumíte představit velký nápor na vaše servery, pak vám to asi stačí * PaaS * např. MySQL nabízí tzv MySQL cluster - můžete provádět méně věcí a velikost databáze by měla být pod 2TB, ale funguje to i u velkých náporů, s 99.999% přístupností * AppEngine - na tom funguje Google (petabyty dat)