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Merlin
Redundancy for Nagios
op5

Agenda
About op5 and op5 Monitor

Need for distributed monitoring

Concept and implementation

Examples and scenarios

Customer cases

More Info
About op5
op5 Monitor

op5 Monitor
op5 Monitor                                Delivers
                                           Delivers
                                 Reports & Trend analysis
   Infrastructure
                                       Service levels
                                       Availability
   Storage                       Easy configuration
                                 Data status visualization
   Application                   SLA reports, maps, etc
                                 Monitor virtual, cloud and
   Network
                                  outsourced services
                                 Distributed and load-
                                  balanced setups
   Status
                                 Automated intelligent
                                  alarms and action on
                                  events
    VM's
Need For Distributed Monitoring
Need For Distributed Monitoring


                       Reliability
                       Reliability


   24x7 SLA for Mission-Critical Services
   Availability and SLA Reporting
Need For Distributed Monitoring


                     Performance
                     Performance


   High Number of Active System checks
   Limitations of the Operating System
   Growth
Need For Distributed Monitoring


                 Distributed Monitoring
                 Distributed Monitoring


   Locations
   Combinations of Network
   IP Address Conflicts
   Security
Why Merlin?

   Other solutions for redundancy are clunky at best
   Redundancy is important
   Load-balancing and automatic fail-over
   Network functionality (as its users see it) is hardly ever
    measurable from a single place
Key Features

                                Redundancy
                                 – Ensure availability
                                 – Ensure availability


                                Performance
                               – Handle larger networks
                               – Handle larger networks


                               Load balancing
                                 – Share the workload
                                 – Share the workload


                          Distributed monitoring
                               – Geographical coverage
                               – Geographical coverage



Our solution for a scalable monitoring refers to an:
    Easy to use system
    Capable of constantly changing to fit the needs of your business
    Give stability and performance
Concept and Setups
op5 Merlin Open Source Project


      Merlin - Module for Effortless Redundancy
      and Load balancing in Nagios

      For setting up distributed Nagios
      installations
Brief project info

   Started 2006 as a prototype for a huge installation
   First used as redundancy engine 2009
   Used in production at +800 installations
   Largest production installation has 3 masters and 14
    pollers
   v2.0.0 (with Nagios 4 support) to be released officially
    next week
   Current bleeding edge is v2.0.0-beta2-p10
Key design concepts

   Peer loadbalancing is 100% transparent
   Pollers take care of one or more hostgroups
   Pollers can be (and often are) peered
   Binary protocol for extreme performance
        32-bit and 64-bit machines can't play together :-/
   Object config of two peers must be identical
   Pollers must never know about objects they're not
    responsible for
Merlin System Design



                                      Database



                                      Backlog
                                        Backlog

                                dbi
                   Socket


                   Backlog

Merlin Module
                 Config File   Merlin Daemon
Merlin System Design

           Peer + Peer System Design

                                      Database   Database


                                       Backlog   Backlog


                                dbi                         dbi
                    Socket                                            Socket


                    Backlog                                           Backlog

Merlin Module                                                                    Merlin Module
                 Config file                                       Config file
                               Merlin Daemon       Merlin Daemon
Peered Setup

Scalability / High Availability

The backend allows a variety of                             Peer
high availability setups and allows
almost infinite scalability by adding              Peer
more "peers"



Config
                                                            Peer
Check results

Poll/check
                                        Monitored objects
Master/Poller Setup

Remote Modules
                                                            Master
Remote modules allow the
monitoring of individual services
and devices using a dedicated, but
centrally managed monitoring
system
                                          Poller             Poller          Cloud Poller


Config
Check results

Poll/check
                                     Monitored objects   Monitored objects   Monitored objects
Combined Setup

                                              Master/Peer




                                   Poller                   Peer

Poller                   Peer                                      Poller                  Peer




         Monitored objects                  Monitored objects               Monitored objects
Configuration And Management
Configuration And Management


   Merlin automatically distributes object config
       Split and Push Config-in master / poller
        configurations
       Straight-up sync for peers when needed
Early Adopters



   Mogul Services AB
       Hosts critical services for operators, call-centers
        banking, online media and emergency broadcast
        channels
   Very early implementation (beta-stage in POC-deal)
   Quite complex setup (peered masters, multiple
    pollers)
   Very high availability demands
Examples And Scenarios
Performance


              Peer
                           Add more if needed to scale out
       Peer
                            performance monitoring rather than to
                            scale up on hardware
                           Growth of the monitoring system with
                            the requirements of the company
Peer          Peer




       Peer



              Peer
Reliability


              Peer
                          Through dynamic distribution of
       Peer
                           service checks the individual nodes are
                           peered. This setup also provides
                           redundancy

Peer          Peer




       Peer




              Peer
Security

                                                      Safety zones in the network
                Master                                Monitoring as a Service
                                                      DMZ
                                                      Branch offices with “one-way”
                                                       availability




       Poller                      Poller                    Poller




Monitored objects           Monitored objects          Monitored objects

    DMZ                  Customer Network             Secure Network
Cloud Monitoring


                                                     Master




   Monitoring of publicly
    available services
                                                                 Cloud Poller
   Services outside their own       Poller

    network monitor



                                 Monitored objects            Monitored objects


                                    DMZ
Large Organisation Setup
Customer case study: Merlin Ahoy!



Company
Since late 1959, the Viking Line ships sail daily from
Finland to Sweden. The shipping company Viking Line
Abp based in Mariehamn, the capital of the autonomous
Åland Islands in Finland.

Challenge:                                                   “There have been improvements in functionality
Unreliable network uplinks to the core system, the           when we communicate via satellite links.
                                                             It is easier then before to have the server on
change between cable connections, wireless and               board to communicate with our main servers
satellite networks, depending on the location of the ship    on shore”
                                                             Jonas Lindroos, IT department at Viking Line
make it difficult to monitor all on-board IP services such
as IPTV, VoIP, WiFi hotspot and infotainment.

Solution:
On each ship an op5 Monitor instance was installed. It
allows distributed monitoring of Viking Line, monitoring
all services on all vessels and provides centrally
managed monitoring.
Questions?


   http://git.op5.org
   http://www.op5.org

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Distributed Monitoring and Redundancy with Merlin

  • 2. op5 Agenda About op5 and op5 Monitor Need for distributed monitoring Concept and implementation Examples and scenarios Customer cases More Info
  • 4. op5 Monitor op5 Monitor op5 Monitor Delivers Delivers  Reports & Trend analysis Infrastructure  Service levels  Availability Storage  Easy configuration  Data status visualization Application  SLA reports, maps, etc  Monitor virtual, cloud and Network outsourced services  Distributed and load- balanced setups Status  Automated intelligent alarms and action on events VM's
  • 5. Need For Distributed Monitoring
  • 6. Need For Distributed Monitoring Reliability Reliability  24x7 SLA for Mission-Critical Services  Availability and SLA Reporting
  • 7. Need For Distributed Monitoring Performance Performance  High Number of Active System checks  Limitations of the Operating System  Growth
  • 8. Need For Distributed Monitoring Distributed Monitoring Distributed Monitoring  Locations  Combinations of Network  IP Address Conflicts  Security
  • 9. Why Merlin?  Other solutions for redundancy are clunky at best  Redundancy is important  Load-balancing and automatic fail-over  Network functionality (as its users see it) is hardly ever measurable from a single place
  • 10. Key Features Redundancy – Ensure availability – Ensure availability Performance – Handle larger networks – Handle larger networks Load balancing – Share the workload – Share the workload Distributed monitoring – Geographical coverage – Geographical coverage Our solution for a scalable monitoring refers to an:  Easy to use system  Capable of constantly changing to fit the needs of your business  Give stability and performance
  • 12. op5 Merlin Open Source Project Merlin - Module for Effortless Redundancy and Load balancing in Nagios For setting up distributed Nagios installations
  • 13. Brief project info  Started 2006 as a prototype for a huge installation  First used as redundancy engine 2009  Used in production at +800 installations  Largest production installation has 3 masters and 14 pollers  v2.0.0 (with Nagios 4 support) to be released officially next week  Current bleeding edge is v2.0.0-beta2-p10
  • 14. Key design concepts  Peer loadbalancing is 100% transparent  Pollers take care of one or more hostgroups  Pollers can be (and often are) peered  Binary protocol for extreme performance  32-bit and 64-bit machines can't play together :-/  Object config of two peers must be identical  Pollers must never know about objects they're not responsible for
  • 15. Merlin System Design Database Backlog Backlog dbi Socket Backlog Merlin Module Config File Merlin Daemon
  • 16. Merlin System Design  Peer + Peer System Design Database Database Backlog Backlog dbi dbi Socket Socket Backlog Backlog Merlin Module Merlin Module Config file Config file Merlin Daemon Merlin Daemon
  • 17. Peered Setup Scalability / High Availability The backend allows a variety of Peer high availability setups and allows almost infinite scalability by adding Peer more "peers" Config Peer Check results Poll/check Monitored objects
  • 18. Master/Poller Setup Remote Modules Master Remote modules allow the monitoring of individual services and devices using a dedicated, but centrally managed monitoring system Poller Poller Cloud Poller Config Check results Poll/check Monitored objects Monitored objects Monitored objects
  • 19. Combined Setup Master/Peer Poller Peer Poller Peer Poller Peer Monitored objects Monitored objects Monitored objects
  • 21. Configuration And Management  Merlin automatically distributes object config  Split and Push Config-in master / poller configurations  Straight-up sync for peers when needed
  • 22. Early Adopters  Mogul Services AB  Hosts critical services for operators, call-centers banking, online media and emergency broadcast channels  Very early implementation (beta-stage in POC-deal)  Quite complex setup (peered masters, multiple pollers)  Very high availability demands
  • 24. Performance Peer  Add more if needed to scale out Peer performance monitoring rather than to scale up on hardware  Growth of the monitoring system with the requirements of the company Peer Peer Peer Peer
  • 25. Reliability Peer  Through dynamic distribution of Peer service checks the individual nodes are peered. This setup also provides redundancy Peer Peer Peer Peer
  • 26. Security  Safety zones in the network Master  Monitoring as a Service  DMZ  Branch offices with “one-way” availability Poller Poller Poller Monitored objects Monitored objects Monitored objects DMZ Customer Network Secure Network
  • 27. Cloud Monitoring Master  Monitoring of publicly available services Cloud Poller  Services outside their own Poller network monitor Monitored objects Monitored objects DMZ
  • 29. Customer case study: Merlin Ahoy! Company Since late 1959, the Viking Line ships sail daily from Finland to Sweden. The shipping company Viking Line Abp based in Mariehamn, the capital of the autonomous Åland Islands in Finland. Challenge: “There have been improvements in functionality Unreliable network uplinks to the core system, the when we communicate via satellite links. It is easier then before to have the server on change between cable connections, wireless and board to communicate with our main servers satellite networks, depending on the location of the ship on shore” Jonas Lindroos, IT department at Viking Line make it difficult to monitor all on-board IP services such as IPTV, VoIP, WiFi hotspot and infotainment. Solution: On each ship an op5 Monitor instance was installed. It allows distributed monitoring of Viking Line, monitoring all services on all vessels and provides centrally managed monitoring.
  • 30. Questions?  http://git.op5.org  http://www.op5.org

Notes de l'éditeur

  1. If changes are made in the top headline, the Agenda have to Manuel be changed.
  2. 7 Consecutive Years of Growth 10+ New International Business Partners per year 700+ Customers in 6 years and growing 98% Renewal of subscription 100% Reference Accounts
  3. In this page there is room for custom changes to fit your specific needs with the presentation. Explanation for each point: Why Scale - Referring to the common problems, issues regarding scaling monitoring. Keeping up with changes in business and IT - The constant changes in the IT environment and in business, were the ability to respond rapidly to growth (scale) is a success factor. Keeping even pace whit the ever changing environments creates new possibilities for company’s Scale out, not up – When scaling a system it is common to start by stuffing as much as possible into existing server, at the cost of a slower system. Share the workload between servers to ensure no one is under or over utilized. Preventing failures Load-balancing – Se above Distributed Monitoring over several location – When monitoring several different locations a distributed setup the best option, handling the load. A distributed setups is ideal when when there is a need for a wide geographical coverage and when you need a resilient design. How we monitor cloud applications – Room for personal changes Several NOC´s - Monitoring from uses perspective, GUI, easy-to understand, easy to use. etc
  4. op5 3 Key features for a scalable monitoring solution. 1.Redundancy – ensure availability of the IT network 2. Load balancing – Share the workload 3. Distributed Monitoring . Geographical coverage Context op5 Monitor introduces a flexible affordable system that can scale to the needs of your business and adapt to the ever-changing challenges of the IT environment, regardless if it consists of small business critical IT to large enterprise monitoring needs with tens of thousands of services. By our standards a scalable Monitoring Solution refers to an easy to use system that is capable of constantly changing to fit the needs of your business without sacrificing stability or performance.
  5. In this page there is room for custom changes to fit your specific needs with the presentation. Explanation for each point: Why Scale - Referring to the common problems, issues regarding scaling monitoring. Keeping up with changes in business and IT - The constant changes in the IT environment and in business, were the ability to respond rapidly to growth (scale) is a success factor. Keeping even pace whit the ever changing environments creates new possibilities for company’s Scale out, not up – When scaling a system it is common to start by stuffing as much as possible into existing server, at the cost of a slower system. Share the workload between servers to ensure no one is under or over utilized. Preventing failures Load-balancing – Se above Distributed Monitoring over several location – When monitoring several different locations a distributed setup the best option, handling the load. A distributed setups is ideal when when there is a need for a wide geographical coverage and when you need a resilient design. How we monitor cloud applications – Room for personal changes Several NOC´s - Monitoring from uses perspective, GUI, easy-to understand, easy to use. etc
  6. In this page there is room for custom changes to fit your specific needs with the presentation. Explanation for each point: Why Scale - Referring to the common problems, issues regarding scaling monitoring. Keeping up with changes in business and IT - The constant changes in the IT environment and in business, were the ability to respond rapidly to growth (scale) is a success factor. Keeping even pace whit the ever changing environments creates new possibilities for company’s Scale out, not up – When scaling a system it is common to start by stuffing as much as possible into existing server, at the cost of a slower system. Share the workload between servers to ensure no one is under or over utilized. Preventing failures Load-balancing – Se above Distributed Monitoring over several location – When monitoring several different locations a distributed setup the best option, handling the load. A distributed setups is ideal when when there is a need for a wide geographical coverage and when you need a resilient design. How we monitor cloud applications – Room for personal changes Several NOC´s - Monitoring from uses perspective, GUI, easy-to understand, easy to use. etc