cloud & container monitoring - checkmk.com...cloud & container monitoring 2 check_mk...

04.05.2018, Lars MichelsenCheck_MK Conference #4

Cloud & container monitoring

Check_MK Conference #42

Some cloud definitions

Networking

Storage

Servers

Virtualization

O/S

Middleware

Runtime

Data

Applications

Infrastructure-as-a-Service (IaaS)’Server in the cloud’Amazon EC2, Azure VM, Google CE, Amazon S3, Azure Storage

Platform-as-a-Service (PaaS)‘Runtime environment for applications’Azure App Services, AWS Elastic Beanstalk

Software-as-a-Service (SaaS)‘Applications’Office 365, Salesforce, Netflix

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Containers – what is it?

Infrastructure

Hypervisor

App 1

Infrastructure

OS

Containerization

Guest OS*

ContainersVirtual machines

Virtualization runs on a ‘hypervisor’

Enables portability, increases utilization of infrastructure – but resource burden

Containers use the nodes OS kernel

Enables portability at high-infrastructure efficiency

VM 1 VM 2

App 2 App 1

Guest OS*

App 2 App 1

bins|libs

Container 1

App 2

bins|libs

Container 2

* incl. Binaries and libraries

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What is docker on my host?

Node

Daemon

ImagesContainers

Dockerregistry

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From one to many, many containers

Node A

Docker Daemon

Images

Kubernetes MasterContainer orchestration

Pod

Containers

Pod

Containers

Node B

Docker Daemon

Images

Pod

Containers

Node C

Docker Daemon

Images

Pod

Containers

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Implications for monitoring

3

2

1

4

Fast changing environments

Containers as additional layer

Cloud-APIs (for PaaS / SaaS)

Single metrics become less relevant

Dynamic configuration

Plugins

Plugins

Aggregated metrics

0) Intro

1) Cloud monitoring

2) Container monitoring

3) Dealing with dynamics

4) Metrics

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IaaS

PaaS

SaaS

IaaS is standard business

Public Cloud Private Cloud

Check_MK Agent Check_MK Agent

Plannedvia APIs

Plannedvia APIs

Plannedvia APIs

Plannedvia APIs

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API

Monitoring PaaS & SaaS via APIs

We buildwhat is needed

Special-Agent and Checks - Working on Azure (e.g. SQL database)- Involved in several migrations (e.g. multi region Azure)- What do you need? AWS, Azure services, OpenStack, ...?

Specialagent

Checks

0) Intro

1) Cloud monitoring

2) Container monitoring

3) Dealing with dynamics

4) Metrics

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Basics are already possible

Existing options... … but

Need to care about configuration Checks (Docker on Check_MK Exchange)

Process checks and other resources of docker nodes

Agent in docker container

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… but currently developing much broader feature set

+ +Container specific

metricsDynamic

configurationAggregated

metrics

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Container monitoring future

Phase I Phase II Phase III

Native container support

Container orchestration

Mgmt. for container & container orchestration

1.6 1.6

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Docker native Check- & Inventory Plug-Ins

Phase I Phase II Phase III

Node checks: System status, #images, #containers, disk usage

Node inventory: Version, labels, networks

Image inventory: Time created, labels, size, #containers (state)

Container checks: CPU, memory, disk IO, traffic, uptime, health

Container inventory: node running on, labels, networks

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Agent with batteries includedPhase I Phase II Phase III

docker ext. included in

agent

veth interfaces are totally ignored

ps checkis aware of namespaces

container mounts are totally ignored

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How Check_MK gets docker dataPhase I Phase II Phase III

How to get the data?

Nodeagent?

Cont.agent?

Execute Nodes AgentContact via Node

Yes

No

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How Check_MK gets docker dataPhase I Phase II Phase III

How to get the data?

Nodeagent?

Cont.agent?

Install Agent in ImageContact via Node

Yes

Yes

Execute Nodes AgentContact via Node

No

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How Check_MK gets docker dataPhase I Phase II Phase III

How to get the data?

Nodeagent?

Install agent in ImageContact agent via network

Cont.agent?

Execute Nodes AgentContact via Node

Install Agent in ImageContact via Node

Yes

No

Yes

No

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Short demo!Phase I Phase II Phase III

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Monitoring of container orchestration tool Kubernetes

Phase I Phase II Phase III

Pod deployments: Current vs. available Pods

Node: Resource request vs. limits

Running pods: Per node, per replica set

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Monitoring of management tools for container orchestration

Phase I Phase II Phase III

Only idea stage yet – your feedback is welcome

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... and then ... Continuously improve Phase I-III

Phase I / II / III

Support tools, e.g. Docker Swarm

More plugins

0) Intro

1) Cloud monitoring

2) Container monitoring

3) Dealing with dynamics

4) Metrics

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Requires highly dynamic configuration

Why? Dynamic configuration (DCD)

Focus on containers Nodes & Kubernetes later Enterprise Edition only

Volatile environment Monitoring configuration thus

needs to adapt very dynamically

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Dynamic Configuration Daemon (DCD) architecture

Check_MK Agent with Docker Plug-in

Kubernetes API

Cloud APIs (e.g. AWS)

DCD

Connector: Docker “unmanaged”

Connector: Kubernetes

Check_MK

WATO-API

Check_MK Base

Core

Connector: AWS ...

WATO

Sources Central site Remote sites

Check_MK

WATO-API

Check_MK Base

Core

...

WATO

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Also useful beyond containers

Virtual machines: Ask vCenter for VMs

LDAP: Ask for users or hosts

Network scan: Ask the network for hosts

0) Intro

1) Cloud monitoring

2) Container monitoring

3) Dealing with dynamics

4) Metrics

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Static containers: Standard metrics

Business as usual

“well known”hosts

Static containers

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Dynamic containers:Which metrics are relevant?

Total CPU load

Aggregated metricsAverages or total values over all containers

Understand performance & trends

Dynamic pool of containers

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Dynamic containers:Which metrics are relevant?

Total CPU load

Understand faults

Individual CPU load

Dynamic pool of containers

Individual metricsValue per container

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What we will do with these metrics

Aggregated metrics Container metrics Volatility per container Defines resolution Defines lifetime of metrics

Collect with regular monitoring Independent of individual hosts Not limited to containers Make configurable via GUI

Join us!Getting ready for a new world.