What's New in Docker 1.12 (June 20, 2016) by Mike Goelzer & Andrea Luzzardi

•

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Docker 1.12 introduces several new features for managing containerized applications at scale including Docker Swarm mode for native clustering and orchestration. Key features include services that allow defining and updating distributed applications, a built-in routing mesh for load balancing between nodes, and security improvements like cryptographic node identities and TLS encryption by default. The document also discusses plugins, health checks, and distributed application bundles for declaring stacks of services.

Logiciels

What’s New in Docker 1.12
Mike Goelzer
(Spoiler alert: a lot!)

$ docker swarm init
$ docker swarm join <IP of manager>:2377

$ docker service create --replicas 3 --name frontend --network mynet
--publish 80:80/tcp frontend_image:latest
mynet

$ docker service create --replicas 3 --name frontend --network mynet
--publish 80:80/tcp frontend_image:latest
$ docker service create --name redis --network mynet redis:latest
mynet

$ docker service scale frontend=10
mynet

$ docker service create --mode=global --name prometheus
prom/prometheus
mynet

docker daemon --label
com.example.storage="ssd"
docker daemon --label
com.example.storage="ssd"

$ docker service create --replicas 3 --name frontend --network mynet
--publish 80:80/tcp --constraint com.example.storage="ssd"
frontend_image:latest
docker daemon --label
com.example.storage="ssd"
docker daemon --label
com.example.storage="ssd"

Distributed Application Bundle (.dab) declares
a stack

Swarm mode orchestration is optional
● You don’t have to use it
● 1.12 is fully backwards compatible
● Will not break existing deployments and scripts

Routing Mesh
• Operator reserves a swarm-
wide ingress port (80) for
myapp
• Every node listens on 80
• Container-aware routing mesh
can transparently reroute traffic
from Worker3 to a node that is
running container
• Built in load balancing into the
Engine
• DNS-based service discovery
:80
:80
:80 :80
frontend frontend
$ docker service create --replicas 3 --name frontend --network mynet
--publish 80:80/tcp frontend_image:latest
frontend

Routing Mesh: Published Ports
• Operator reserves a swarm-
wide ingress port (80) for
myapp
• Every node listens on 80
• Container-aware routing mesh
can transparently reroute traffic
from Worker3 to a node that is
running container
• Built in load balancing into the
Engine
• DNS-based service discovery
:80
:80
:80 :80
frontend frontend
$ docker service create --replicas 3 --name frontend --network mynet
--publish 80:80/tcp frontend_image:latest
frontend

Security out of the box
● Cryptographic Node Identity
○ Workload segregation (think PCI)
● There is no “insecure mode”:
○ TLS mutual auth
○ TLS encryption
○ Certificate rotation

HEALTHCHECK --interval=5m --timeout=3s
--retries 3
CMD curl -f http://localhost/ || exit 1
Checks every 5 minutes that web server can return index
page within 3 seconds.
Three consecutive failures puts container in an unhealthy
state.
Container Health Check in Dockerfile

docker plugin install tiborvass/no-remove
docker plugin enable no-remove
docker plugin disable no-remove
New Plugin Subcommands

$ docker plugin install tiborvass/no-remove
Plugin "mikegoelzer/myplugin:latest"
requested the following privileges:
- Networking: host
- Mounting host path: /data
Do you grant the above permissions? [y/N]
Plugin Permissions Model

Orchestration Deep Dive
Andrea Luzzardi
DockerCon 2016

Manager
Worker
● Each Node has a role
● Roles are dynamic
● Programmable Topology

● Strongly consistent: Holds desired state
● Simple to operate
● Blazing fast (in-memory reads, domain specific indexing, ...)
● Secure

● Eventually consistent: Routing mesh, load balancing rules, ...
● High volume, p2p network between workers
● Secure: Symmetric encryption with key rotation in Raft

Secure by default with end to end encryption
• Cryptographic node
identity
• Automatic encryption
and mutual auth (TLS)
• Automatic cert rotation
• External CA integration
Certificate
Authority
TLS
Certificate
Authority
TLS
Certificate
Authority
TLS
TLS TLSTLS

Learn more about 1.12
Monday 5:20 pm @ Ballroom 6E
• Docker Security Deep Dive
Tuesday 3:55 pm @ Ballroom 6E
• Docker for Ops: Networking Deep Dive, Considerations and
Troubleshooting

Mike Goelzer
mgoelzer@docker.com / @mgoelzer
Andrea Luzzardi
al@docker.com / @aluzzardi
Questions?

Thank You
Mike Goelzer
mgoelzer@docker.com / @mgoelzer
Andrea Luzzardi
al@docker.com / @aluzzardi

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Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.

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harshavardhanraghave

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