SlideShare a Scribd company logo
@wendigo
Mateusz „Serafin” Gajewski • AWS UG Meetup
Scaling infrastructure beyond containers
@wendigo
Agenda
• Evolution of infrastructure at Allegro,
• Why Apache Mesos™?
• Apache Mesos key concepts,
• Future of datacenter and cloud computing?
@wendigo
History of scaling
infrastructure @ Allegro
@wendigo
Infrastructure 1.0
@wendigo
Job allocation problem
@wendigo
Web Scale Resource management
100s dots 100s dots
@wendigo
Infrastructure 2.0
1000s dots another 1000s dots
@wendigo
Infrastructure 2.1
1000s dots another 1000s dots
@wendigo
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
@wendigo
Beyond cloud computing
@wendigo
Holly Grail of TCO
@wendigo
Infrastructure 3.0
A Platform for Fine-Grained
Resource Sharing in the Data Center
@wendigo
Scheduling
@wendigo
Cluster scheduling
@wendigo
Mesos architecture
@wendigo
Mesos frameworks
@wendigo
Offers
@wendigo
Execution isolation
@wendigo
External Containerizers
@wendigo
Mesos HA
• master election/failover with ZooKeeper,
• master maintains soft-state,
• framework state reconciliation,
• slave checkpointing,
• slave recovery,
• framework checkpointing
@wendigo
Beyond offers
• offer filters (constraints),
• static (pre-startup) reservations,
• dynamic (post-startup) reservations,
• oversubscription,
• persistent volumes,
• pluggable allocator scheduling policy (fair, priority based)
@wendigo
Mesos frameworks
@wendigo
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
@wendigo
Future Datacenter
@wendigo
IaaC
@wendigo
Efficient utilization
@wendigo
Google’s Omega
source: Omega: flexible, scalable schedulers for large compute clusters
Questions?
http://meetup.com/allegro.tech
http://allegro.tech
@AllegroTechBlog
Work with us

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