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Mateusz „Serafin” Gajewski • AWS UG Meetup

Scaling infrastructure beyond containers

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Agenda

• Evolution of infrastructure at Allegro,

• Why Apache Mesos™?

• Apache Mesos key concepts,

• Future of datacenter and cloud computing?

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History of scaling infrastructure @ Allegro

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Infrastructure 1.0

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Job allocation problem

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Web Scale Resource management

100s dots 100s dots

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Infrastructure 2.0

1000s dots another 1000s dots

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Infrastructure 2.1

1000s dots another 1000s dots

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Challenges

• cloud not used as cloud ;),

• high cost of virtualization,

• effective resource utilization,

• microservice architecture,

• spread of new technologies,

• heterogenous resources,

• scalability, fault tolerance & HA,

• performance isolation,

• data processing at scale

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Beyond cloud computing

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Holly Grail of TCO

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Infrastructure 3.0

A Platform for Fine-Grained Resource Sharing in the Data Center

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Scheduling

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Cluster scheduling

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Mesos architecture

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Mesos frameworks

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Offers

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Execution isolation

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External Containerizers

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Mesos HA

• master election/failover with ZooKeeper,

• master maintains soft-state,

• framework state reconciliation,

• slave checkpointing,

• slave recovery,

• framework checkpointing

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Beyond offers

• offer filters (constraints),

• static (pre-startup) reservations,

• dynamic (post-startup) reservations,

• oversubscription,

• persistent volumes,

• pluggable allocator scheduling policy (fair, priority based)

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Mesos frameworks

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Mesos recap

• „programming against the datacenter",

• distributed datacenter kernel,

• two-level multi-resource scheduler,

• scalable, highly-available & fault-tolerant,

• performance isolation with containers,

• exposes homogeneous resources,

• elastic, dynamic partitioning,

• high resource utilization

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Future Datacenter

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IaaC

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Efficient utilization

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Google’s Omega

source: Omega: flexible, scalable schedulers for large compute clusters

Questions?

http://meetup.com/allegro.tech http://allegro.tech

@AllegroTechBlog

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