Syslog Centralization Logging with Windows ~ A techXpress Guide ~ Setting up a centralized Syslog Server to get EventLogs from all Windows Hosts for analysis
Containerd: Building a Container Supervisor by Michael CrosbyDocker, Inc.
Containerd is a container supervisor that allows users to manage the lifecycle of a container as well as interact with the container while it is executing. Containerd was built to fulfill many of the requirements that we expect from a modern supervisor all while staying small and fast. In this talk, we will discuss some of the design decisions that shaped containerd’s architecture that allows it to reattach to running containers if it was killed and how it is designed to start 100s containers in seconds.
LinuxKit, a toolkit for building custom minimal, immutable Linux distributions.
Secure defaults without compromising usability
Everything is replaceable and customisable
Immutable infrastructure applied to building Linux distributions
Completely stateless, but persistent storage can be attached
Easy tooling, with easy iteration
Built with containers, for running containers
Designed for building and running clustered applications, including but not limited to container orchestration such as Docker or Kubernetes
Designed from the experience of building Docker Editions, but redesigned as a general-purpose toolkit
Designed to be managed by external tooling, such as Infrakit or similar tools
Includes a set of longer-term collaborative projects in various stages of development to innovate on kernel and userspace changes, particularly around security
Alex Dias: how to build a docker monitoring solution Outlyer
Alex will be talking about how docker container monitoring was built at Outlyer. He'll be diving into the details behind how you actually monitor everything in such an environment and the challenges that come with it. Namely, how the Docker API, Cgroups, and the Netlink Linux kernel interface can be leveraged to get specific metrics for each container.
Using linuxKit to build custom rancherOS systems Moby Project
This document discusses modernizing RancherOS, a micro Linux distribution. It describes replacing System Docker with runC and Containerd to reduce size and improve performance. Through iterative changes like removing unused files, generating container specs, and customizing services, the initrd size was reduced from 245MB to 190MB and boot time from 30 seconds to 12 seconds. The final version can boot and serve HTTP requests within 7 seconds while maintaining compatibility with RancherOS.
The document provides information about upcoming Microsoft technical sessions at a conference, including session titles, dates, times, and locations. It also lists various PowerShell commands for managing Exchange Server, such as configuring high availability, customizing Outlook Web Access, troubleshooting databases, and importing/exporting/restoring mailboxes.
The document discusses system monitoring using OMD and check_mk. It explains that monitoring is important to manage limited server resources and service quality. Both the host and guest systems in a virtualized environment should be monitored. Key things to monitor include CPU, disk, memory, and I/O utilization. OMD with check_mk is recommended as it is a turn-key, scalable, and lightweight monitoring solution powered by Nagios. The document provides steps to install OMD on Ubuntu, enable SSL, install the check_mk agent, add a host for monitoring, perform service discovery, and activate and apply the monitoring configuration.
This document discusses several new features in Docker 1.5 including relative ADD/COPY commands and faster docker push. It also summarizes Docker Machine for provisioning Docker hosts on cloud providers, Docker Swarm for clustering Docker daemons, and the use of systemd to manage containers as pods. Demos are provided for using smaller base images like Alpine, Docker Machine, Docker Swarm, and systemd-based container management.
Docker orchestration using core os and ansible - Ansible IL 2015Leonid Mirsky
The last couple of years have seen an increasing interest in Docker and related technologies. One of these technologies is CoreOS, a new operating system built from the ground up for running Docker containers at scale.
In this talk we will learn about CoreOS main concepts and tools. We will get our hands dirty as we work together toward a goal of running a CoreOS cluster on AWS (using Ansible) and running docker containers on it.
The talk will conclude with a discussion on the place of Ansible (and configuration management tools in general) in the "next-generation" stack.
Containerd: Building a Container Supervisor by Michael CrosbyDocker, Inc.
Containerd is a container supervisor that allows users to manage the lifecycle of a container as well as interact with the container while it is executing. Containerd was built to fulfill many of the requirements that we expect from a modern supervisor all while staying small and fast. In this talk, we will discuss some of the design decisions that shaped containerd’s architecture that allows it to reattach to running containers if it was killed and how it is designed to start 100s containers in seconds.
LinuxKit, a toolkit for building custom minimal, immutable Linux distributions.
Secure defaults without compromising usability
Everything is replaceable and customisable
Immutable infrastructure applied to building Linux distributions
Completely stateless, but persistent storage can be attached
Easy tooling, with easy iteration
Built with containers, for running containers
Designed for building and running clustered applications, including but not limited to container orchestration such as Docker or Kubernetes
Designed from the experience of building Docker Editions, but redesigned as a general-purpose toolkit
Designed to be managed by external tooling, such as Infrakit or similar tools
Includes a set of longer-term collaborative projects in various stages of development to innovate on kernel and userspace changes, particularly around security
Alex Dias: how to build a docker monitoring solution Outlyer
Alex will be talking about how docker container monitoring was built at Outlyer. He'll be diving into the details behind how you actually monitor everything in such an environment and the challenges that come with it. Namely, how the Docker API, Cgroups, and the Netlink Linux kernel interface can be leveraged to get specific metrics for each container.
Using linuxKit to build custom rancherOS systems Moby Project
This document discusses modernizing RancherOS, a micro Linux distribution. It describes replacing System Docker with runC and Containerd to reduce size and improve performance. Through iterative changes like removing unused files, generating container specs, and customizing services, the initrd size was reduced from 245MB to 190MB and boot time from 30 seconds to 12 seconds. The final version can boot and serve HTTP requests within 7 seconds while maintaining compatibility with RancherOS.
The document provides information about upcoming Microsoft technical sessions at a conference, including session titles, dates, times, and locations. It also lists various PowerShell commands for managing Exchange Server, such as configuring high availability, customizing Outlook Web Access, troubleshooting databases, and importing/exporting/restoring mailboxes.
The document discusses system monitoring using OMD and check_mk. It explains that monitoring is important to manage limited server resources and service quality. Both the host and guest systems in a virtualized environment should be monitored. Key things to monitor include CPU, disk, memory, and I/O utilization. OMD with check_mk is recommended as it is a turn-key, scalable, and lightweight monitoring solution powered by Nagios. The document provides steps to install OMD on Ubuntu, enable SSL, install the check_mk agent, add a host for monitoring, perform service discovery, and activate and apply the monitoring configuration.
This document discusses several new features in Docker 1.5 including relative ADD/COPY commands and faster docker push. It also summarizes Docker Machine for provisioning Docker hosts on cloud providers, Docker Swarm for clustering Docker daemons, and the use of systemd to manage containers as pods. Demos are provided for using smaller base images like Alpine, Docker Machine, Docker Swarm, and systemd-based container management.
Docker orchestration using core os and ansible - Ansible IL 2015Leonid Mirsky
The last couple of years have seen an increasing interest in Docker and related technologies. One of these technologies is CoreOS, a new operating system built from the ground up for running Docker containers at scale.
In this talk we will learn about CoreOS main concepts and tools. We will get our hands dirty as we work together toward a goal of running a CoreOS cluster on AWS (using Ansible) and running docker containers on it.
The talk will conclude with a discussion on the place of Ansible (and configuration management tools in general) in the "next-generation" stack.
What Have Syscalls Done for you Lately?Docker, Inc.
If you've ever written any code - even just Hello World - you've used some syscalls. In this talk we'll explore what syscalls are, how they are used to set up containers, and how to make your deployment more secure at runtime by limiting the syscalls your containers can make thanks to seccomp and Linux security modules like AppArmor.
We'll also discuss how, if your architecture is broken into containerized microservices, this gives you a great opportunity to improve security by limiting what each container can do. This is where containerized microservices really shine over traditional monoliths from a security perspective - so it's helpful to know about if you're trying to convince your security team that containers are a good idea.
There will be lots of live demos!
Load Balancing Apps in Docker Swarm with NGINXNGINX, Inc.
On-demand webinar recording: http://bit.ly/2mRjk2g
Docker and other container technologies continue to gain in popularity. We recently surveyed the broad community of NGINX and NGINX Plus users and found that two-thirds of organizations are either investigating containers, using them in development, or using them in production. Why? Because abstracting your applications from the underlying infrastructure makes developing, distributing, and running software simpler, faster, and more robust than ever before.
But when you move from running your app in a development environment to deploying containers in production, you face new challenges – such as how to effectively run and scale an application across multiple hosts with the performance and uptime that your customers demand.
The latest Docker release, 1.12, supports multihost container orchestration, which simplifies deployment and management of containers across a cluster of Docker hosts. In a complex environment like this, load balancing plays an essential part in delivering your container-based application with reliability and high performance.
Join us in this webinar to learn:
* The basic built-in load balancing options available in Docker Swarm Mode
* The pros and cons of moving to an advanced load balancer like NGINX
* How to integrate NGINX and NGINX Plus with Swarm Mode to provide an advanced load-balancing solution for a cluster with orchestration
* How to scale your Docker-based application with Swarm Mode and NGINX Plus
Spark Streaming provides an easier API for streaming data than Storm, replacing Storm's spouts and bolts with Akka actors. It integrates better with Hadoop and makes time a core part of its API. This document provides instructions for setting up Spark Streaming projects using sbt or Maven and includes a demo reading from Kafka and processing a Twitter stream.
Jaime Piña, @variadico, Software Engineer at Apcera
Microservice issues are networking issues. Fixing code in your app is easy, but the hard part of using microservices is the networking. How do you actually know if you're sending what you think you are? Why does this request fail in my app, but not when I use curl? Is this service very slow or is it up at all?
This talk will help demystify some common problems you might experience while building out your collection of microservices. Once you can find the issue, it becomes way easier to fix.
Declare your infrastructure: InfraKit, LinuxKit and MobyMoby Project
InfraKit is a toolkit for infrastructure orchestration. With an emphasis on immutable infrastructure, it breaks down infrastructure automation and management processes into small, pluggable components. These components work together to actively ensure the infrastructure state matches the user's specifications. InfraKit therefore provides infrastructure support for higher-level container orchestration systems and can make your infrastructure self-managing and self-healing.
The document discusses setting up a Docker Swarm cluster with 3 Raspberry Pi nodes and integrating Consul for service discovery. It begins with an introduction to Consul and its key features like service discovery, health checking, and key-value storage. It then describes deploying Consul and a Swarm master on one node, registering a sample web service, and verifying the cluster. Finally, it explores the Consul UI and adds a Docker UI for visualizing the cluster.
This document provides instructions for installing and configuring KVM virtualization on CentOS 6. It describes installing the necessary KVM packages, enabling virtualization in the BIOS, loading the KVM kernel module, and generating a machine ID file. It also covers optional steps like installing X11 forwarding for remote GUI access, changing the default VM storage location, enabling network bridging for VMs, and configuring PolicyKit to manage libvirt with a standard user account.
In this talk, Michal Crosby will present on runC and Containerd, the internals and how they work together to start and manage containers in Docker. Afterwards, Arnaud Porterie will touch on about what was shipped in 1.11 and how it will enable some of the things we are working on for 1.12.
This document discusses Docker Swarm, a clustering and orchestration tool for Docker. It provides instructions for setting up a Swarm cluster using either a hosted discovery service or your own discovery service like Etcd. It also covers resource management using memory and CPU limits, port mapping, constraints to control where containers run, rescheduling policies, and the two step Swarm scheduler process of filtering nodes and selecting the best placement.
The new virtualization technologies and cloud environments are a big challenge for testing network performance. We need a new approach for testing, using realistic scenarios and flexible tools that allow us to generate packets at high speed. Trex is an Open Source network generator with all these batteries included.
The document discusses containerization using Docker. It begins with an overview of Docker commands to run containers with increasing levels of isolation for hostname, process ID, and filesystem/mounting. It then demonstrates how to execute commands in a container using Linux namespaces to isolate processes and filesystems. The document aims to show how Docker containers can isolate and sandbox processes running on a machine.
Docker Swarm allows managing multiple Docker hosts as a single virtual Docker engine. The presenter demonstrates setting up a traditional Docker Swarm cluster with an external key-value store and load balancer. SwarmKit provides the core components of Docker Swarm as standalone binaries. Docker Swarm Mode is integrated directly into Docker Engine 1.12 and later, providing built-in orchestration without external components. The presenter then demonstrates a tutorial using Docker Swarm Mode to deploy a multi-container voting application across 3 Docker hosts and scale the service.
OSDC 2015: Bernd Erk | Why favour Icinga over NagiosNETWAYS
Most sys admins have a love-hate relationship with Nagios based monitoring solutions. Backed by a sizable community, users have learned to live with it’s shortcomings in scaling, configuration, and modern integration options.
Taking advantage of the tremendous number of supported hard- and software, Icinga leaves all legacy limitations behind. It delivers an easily scalable solution, with clustering, load balancing, automated replication, and even business process monitoring out-of-the-box. Based on a new configuration format with advanced language features - like conditional processing and complex type support - monitoring agile environments works like a breeze. Existing modules for Puppet, Chef and Ansible ramp up the rollout time and ensure a continuous and up to date monitoring environment.
The talk will demonstrate how popular tools such as Graphite, Logstash, or Graylog integrate better and easier than ever before. In addition to that we’ll introduce the new Icinga Web 2 interface and give a brief introduction into the technical architecture.
Red Hat Forum Tokyo - OpenStack ArchitectureDan Radez
This was presented at the Red Hat Forum in Tokyo, November 2012. It's a basic getting started with OpenStack using RDO. It's the same as the OpenStack meetups presentation from November 2012
This document summarizes Christian Beedgen's presentation on logging and Docker at the Seattle Docker Meetup on October 13, 2015. It discusses the evolution of logging in Docker from simply collecting stdout/stderr pre-Docker 1.6, to the introduction of log drivers in 1.6 like syslog and null. It also covers enhancements in newer Docker versions like additional log drivers, options for the json-file driver, and upcoming log tags in 1.9 to identify logs by container metadata. The document also notes Sumo Logic's work on containerizing their log collectors and vision for comprehensive Docker monitoring.
This document outlines a log analysis project that streams logs from Kafka into Spark for analysis. It includes configurations for setting up a multi-broker Kafka cluster, integrating Kafka with the Spark application, and code snippets for streaming the logs. The Spark application then analyzes the logs and outputs statistics to an interactive web page, including top endpoints, frequent IP addresses, and response code counts. Screenshots show the web output and Spark UI during job execution.
CoreOS is a minimal OS designed to host containers. It uses automatic updates and cluster management via tools like Fleet and etcd. CoreOS clusters are configured in etcd, a highly available key-value store. Services are defined and launched across the cluster using Fleet and systemd unit files. Cloud config handles early initialization and configuration of instances.
Monitoring with Syslog and EventMachine (RailswayConf 2012)Wooga
The document discusses building monitoring dashboards using syslog and EventMachine. It proposes sending application events to a server over UDP using syslog format. The server would parse, aggregate, and push events to dashboards over server-sent events. A Sinatra app is used to stream events to the browser. Testing involves sending random test events over UDP. Existing solutions like StatsD, Graphite, and Librato Metrics are also mentioned. The document provides motivation, criteria for the solution, implementation details, and areas for further improvement.
This document discusses monitoring systems using syslog and EventMachine. It proposes building a lightweight, polyglot system that aggregates syslog events and displays metrics and visualizations using various protocols like WebSockets, Server-Sent Events, and Graphite. Event sources would send syslog messages which an EventMachine server would parse and pass to an EM:Channel. A JavaScript client could subscribe to the channel for real-time updates.
What Have Syscalls Done for you Lately?Docker, Inc.
If you've ever written any code - even just Hello World - you've used some syscalls. In this talk we'll explore what syscalls are, how they are used to set up containers, and how to make your deployment more secure at runtime by limiting the syscalls your containers can make thanks to seccomp and Linux security modules like AppArmor.
We'll also discuss how, if your architecture is broken into containerized microservices, this gives you a great opportunity to improve security by limiting what each container can do. This is where containerized microservices really shine over traditional monoliths from a security perspective - so it's helpful to know about if you're trying to convince your security team that containers are a good idea.
There will be lots of live demos!
Load Balancing Apps in Docker Swarm with NGINXNGINX, Inc.
On-demand webinar recording: http://bit.ly/2mRjk2g
Docker and other container technologies continue to gain in popularity. We recently surveyed the broad community of NGINX and NGINX Plus users and found that two-thirds of organizations are either investigating containers, using them in development, or using them in production. Why? Because abstracting your applications from the underlying infrastructure makes developing, distributing, and running software simpler, faster, and more robust than ever before.
But when you move from running your app in a development environment to deploying containers in production, you face new challenges – such as how to effectively run and scale an application across multiple hosts with the performance and uptime that your customers demand.
The latest Docker release, 1.12, supports multihost container orchestration, which simplifies deployment and management of containers across a cluster of Docker hosts. In a complex environment like this, load balancing plays an essential part in delivering your container-based application with reliability and high performance.
Join us in this webinar to learn:
* The basic built-in load balancing options available in Docker Swarm Mode
* The pros and cons of moving to an advanced load balancer like NGINX
* How to integrate NGINX and NGINX Plus with Swarm Mode to provide an advanced load-balancing solution for a cluster with orchestration
* How to scale your Docker-based application with Swarm Mode and NGINX Plus
Spark Streaming provides an easier API for streaming data than Storm, replacing Storm's spouts and bolts with Akka actors. It integrates better with Hadoop and makes time a core part of its API. This document provides instructions for setting up Spark Streaming projects using sbt or Maven and includes a demo reading from Kafka and processing a Twitter stream.
Jaime Piña, @variadico, Software Engineer at Apcera
Microservice issues are networking issues. Fixing code in your app is easy, but the hard part of using microservices is the networking. How do you actually know if you're sending what you think you are? Why does this request fail in my app, but not when I use curl? Is this service very slow or is it up at all?
This talk will help demystify some common problems you might experience while building out your collection of microservices. Once you can find the issue, it becomes way easier to fix.
Declare your infrastructure: InfraKit, LinuxKit and MobyMoby Project
InfraKit is a toolkit for infrastructure orchestration. With an emphasis on immutable infrastructure, it breaks down infrastructure automation and management processes into small, pluggable components. These components work together to actively ensure the infrastructure state matches the user's specifications. InfraKit therefore provides infrastructure support for higher-level container orchestration systems and can make your infrastructure self-managing and self-healing.
The document discusses setting up a Docker Swarm cluster with 3 Raspberry Pi nodes and integrating Consul for service discovery. It begins with an introduction to Consul and its key features like service discovery, health checking, and key-value storage. It then describes deploying Consul and a Swarm master on one node, registering a sample web service, and verifying the cluster. Finally, it explores the Consul UI and adds a Docker UI for visualizing the cluster.
This document provides instructions for installing and configuring KVM virtualization on CentOS 6. It describes installing the necessary KVM packages, enabling virtualization in the BIOS, loading the KVM kernel module, and generating a machine ID file. It also covers optional steps like installing X11 forwarding for remote GUI access, changing the default VM storage location, enabling network bridging for VMs, and configuring PolicyKit to manage libvirt with a standard user account.
In this talk, Michal Crosby will present on runC and Containerd, the internals and how they work together to start and manage containers in Docker. Afterwards, Arnaud Porterie will touch on about what was shipped in 1.11 and how it will enable some of the things we are working on for 1.12.
This document discusses Docker Swarm, a clustering and orchestration tool for Docker. It provides instructions for setting up a Swarm cluster using either a hosted discovery service or your own discovery service like Etcd. It also covers resource management using memory and CPU limits, port mapping, constraints to control where containers run, rescheduling policies, and the two step Swarm scheduler process of filtering nodes and selecting the best placement.
The new virtualization technologies and cloud environments are a big challenge for testing network performance. We need a new approach for testing, using realistic scenarios and flexible tools that allow us to generate packets at high speed. Trex is an Open Source network generator with all these batteries included.
The document discusses containerization using Docker. It begins with an overview of Docker commands to run containers with increasing levels of isolation for hostname, process ID, and filesystem/mounting. It then demonstrates how to execute commands in a container using Linux namespaces to isolate processes and filesystems. The document aims to show how Docker containers can isolate and sandbox processes running on a machine.
Docker Swarm allows managing multiple Docker hosts as a single virtual Docker engine. The presenter demonstrates setting up a traditional Docker Swarm cluster with an external key-value store and load balancer. SwarmKit provides the core components of Docker Swarm as standalone binaries. Docker Swarm Mode is integrated directly into Docker Engine 1.12 and later, providing built-in orchestration without external components. The presenter then demonstrates a tutorial using Docker Swarm Mode to deploy a multi-container voting application across 3 Docker hosts and scale the service.
OSDC 2015: Bernd Erk | Why favour Icinga over NagiosNETWAYS
Most sys admins have a love-hate relationship with Nagios based monitoring solutions. Backed by a sizable community, users have learned to live with it’s shortcomings in scaling, configuration, and modern integration options.
Taking advantage of the tremendous number of supported hard- and software, Icinga leaves all legacy limitations behind. It delivers an easily scalable solution, with clustering, load balancing, automated replication, and even business process monitoring out-of-the-box. Based on a new configuration format with advanced language features - like conditional processing and complex type support - monitoring agile environments works like a breeze. Existing modules for Puppet, Chef and Ansible ramp up the rollout time and ensure a continuous and up to date monitoring environment.
The talk will demonstrate how popular tools such as Graphite, Logstash, or Graylog integrate better and easier than ever before. In addition to that we’ll introduce the new Icinga Web 2 interface and give a brief introduction into the technical architecture.
Red Hat Forum Tokyo - OpenStack ArchitectureDan Radez
This was presented at the Red Hat Forum in Tokyo, November 2012. It's a basic getting started with OpenStack using RDO. It's the same as the OpenStack meetups presentation from November 2012
This document summarizes Christian Beedgen's presentation on logging and Docker at the Seattle Docker Meetup on October 13, 2015. It discusses the evolution of logging in Docker from simply collecting stdout/stderr pre-Docker 1.6, to the introduction of log drivers in 1.6 like syslog and null. It also covers enhancements in newer Docker versions like additional log drivers, options for the json-file driver, and upcoming log tags in 1.9 to identify logs by container metadata. The document also notes Sumo Logic's work on containerizing their log collectors and vision for comprehensive Docker monitoring.
This document outlines a log analysis project that streams logs from Kafka into Spark for analysis. It includes configurations for setting up a multi-broker Kafka cluster, integrating Kafka with the Spark application, and code snippets for streaming the logs. The Spark application then analyzes the logs and outputs statistics to an interactive web page, including top endpoints, frequent IP addresses, and response code counts. Screenshots show the web output and Spark UI during job execution.
CoreOS is a minimal OS designed to host containers. It uses automatic updates and cluster management via tools like Fleet and etcd. CoreOS clusters are configured in etcd, a highly available key-value store. Services are defined and launched across the cluster using Fleet and systemd unit files. Cloud config handles early initialization and configuration of instances.
Monitoring with Syslog and EventMachine (RailswayConf 2012)Wooga
The document discusses building monitoring dashboards using syslog and EventMachine. It proposes sending application events to a server over UDP using syslog format. The server would parse, aggregate, and push events to dashboards over server-sent events. A Sinatra app is used to stream events to the browser. Testing involves sending random test events over UDP. Existing solutions like StatsD, Graphite, and Librato Metrics are also mentioned. The document provides motivation, criteria for the solution, implementation details, and areas for further improvement.
This document discusses monitoring systems using syslog and EventMachine. It proposes building a lightweight, polyglot system that aggregates syslog events and displays metrics and visualizations using various protocols like WebSockets, Server-Sent Events, and Graphite. Event sources would send syslog messages which an EventMachine server would parse and pass to an EM:Channel. A JavaScript client could subscribe to the channel for real-time updates.
Scaling your logging infrastructure using syslog-ngPeter Czanik
This talk was presented at All Things Open: https://allthingsopen.org/talk/scaling-your-logging-infrastructure/
Event logging is important not only for IT security and operations, but also for business decisions. The syslog-ng application is an enhanced logging daemon, with a focus on central log collection. It collects logs from many different sources, processes and filters them and finally it stores them or routes them for further analysis.
From this session you will learn (using examples from syslog-ng) why and how to parse important information from incoming messages, and how to route logs, feeding downstream systems using arbitrary formats. We will also discuss how the client – relay – server architecture can solve scalability problems. Also, I will present some of the recently introduced “Big Data” destinations of syslog-ng, which can help to scale your infrastructure even further.
Scaling Your Logging Infrastructure With Syslog-NGAll Things Open
This document provides a summary of scaling logging infrastructure with syslog-ng. It discusses the main roles of syslog-ng including data collection, processing, filtering, and storage. It also covers topics like message parsing, anonymization, configuration, and community involvement. The document is intended to explain how syslog-ng can be used to build a scalable centralized logging solution.
Final ProjectFinal Project Details Description Given a spec.docxAKHIL969626
Final Project
Final Project Details:
Description: Given a specific scenario, create an appropriate IP addressing scheme, document a given network by creating a logical network diagram and create the appropriate access lists for use on the routers. Deliverables:
· Demonstrate the theory and practice of Cisco networking, routing, and switching strategies as outlined in the Cisco CCENT Certification exam
Prior to implementing any design we need to first write-up our proposed network design on paper. With that in mind, we begin by performing a network discovery. Once we have identified all the network devices and the needs of the organization, we can document the TCP/IP information that is needed for our design. In this exercise you will determine the subnet information for each department and assign IP addresses for the network devices.
You have been assigned as a networking tech for a new client, AAA Fabricating. The network is configured with a Class C network and the current allocation of IP addresses has been depleted. You have been tasked to reconfigure the network with a Class B address and assign a subnet to each of the 10 departments and the three routers.
Your network audit consists of the following information:
AAA Fabrication consists of 10 departments spread across three buildings.
Each building is connected using three Cisco 2800 Series routers. The three routers are located in the MIS wiring closet in Building 2.
Each department has its own Cisco 2950 switch.
There are at least two workstations in each department.
The company plans to use a class B address range starting at 172.16.0.0.
Each department must be assigned a subnet. Subnets should be designed to allow for the maximum number of hosts on each department subnet using classful subnetting.
The company also wants the three routers to communicate on the minimum quantity of IP addresses using three subnets.
Building 1
Subnet
Department
Subnet ID
Host ID Range
Broadcast Address
0
Warehouse
1
Receiving
2
shipping
3
Maintenance
Building 2
Subnet
Department
Subnet ID
Host ID Range
Broadcast Address
4
Accounting
5
Human Resources
6
Payroll
7
MIS
8
Employee Training
Building 3
Subnet
Department
Subnet ID
Host ID Range
Broadcast Address
9
R&D
10
Marketing
Routers
Building 1
Ethernet and Serial Interfaces
IP Address
Subnet Mask
Router
Fast Ethernet 0/0
Building 1
Serial 0/0
To Building 2
Serial 0/1
To Building 3
Building 2
Ethernet and Serial Interfaces
IP Address
Subnet Mask
Router
Fast Ethernet 0/0
Building 2
Serial 0/0
To Building 1
Serial 0/1
To building 3
Building 3
Ethernet and Serial Interfaces
IP Address
Subnet Mask
Router
Fast Ethernet 0/0
Building 3
Serial 0/0
To Building 1
Serial 0/1
To Building 2
Part 2
Create a logical Network Diagram
Logical Network topology represents a high level overview of the signal topology of the network. Every LAN has two different topologies, or the way that the devices on a networ ...
This is the talk I have given on Fedora Developer's Conference 2014 in Brno. It provides insight into the security features we added to rsyslog v7, integration into systemd journal, enhancements of the v8 engine and a glimpse at how to write rsyslog plugins in languages other than C.
This document provides an overview of booting Oracle WebLogic server instances. It discusses the key components involved, including Node Manager and WebLogic Scripting Tool (WLST). It recommends using Node Manager to start the Administration Server and WLST to start managed servers. Sample scripts are provided to start all servers using this approach. The document also covers encrypting credentials, configuring Node Manager as a Windows service, and other tips.
This document provides instructions for installing and configuring RSyslog on CentOS 7. It describes how to install RSyslog, configure modules and protocols, manage the daemon, verify the log file, test the service, configure an RSyslog client for UDP and TCP forwarding, restart the client service, and lists the log severity and facility tables.
OpenNMS is an open source network management platform that can monitor large, complex networks. It is enterprise-grade, supporting over 60,000 devices on a single instance. OpenNMS uses a modular architecture that allows for integration of other monitoring tools. It is published under the GPL license and all components are open source. OpenNMS focuses on provisioning, event and notification management, service assurance, and performance data collection across networks.
You’re ready to make your applications more responsive, scalable, fast and secure. Then it’s time to get started with NGINX. In this webinar, you will learn how to install NGINX from a package or from source onto a Linux host. We’ll then look at some common operating system tunings you could make to ensure your NGINX install is ready for prime time.
View full webinar on demand at http://nginx.com/resources/webinars/installing-tuning-nginx/
25.3.11 packet tracer logging from multiple sourcesFreddy Buenaño
This document discusses using Packet Tracer to view network data generated by syslog, AAA, and NetFlow logging.
Part 1 shows how syslog captures log entries from network devices like routers and sends them to a syslog server, where the entries display the device, timestamp, and debug message.
Part 2 demonstrates how AAA logging records user logins to a TACACS+ server, capturing the username, timestamp, source IP, and start/stop indicators.
Part 3 examines NetFlow, which collects traffic statistics from a firewall and displays them in the NetFlow collector as flow data in pie charts.
This document discusses Linux logging and log management utilities syslog, rsyslog, logrotate, and syslog-ng. It provides details on:
1) Configuring rsyslog to log different message types and severities to specific files via /etc/rsyslog.conf.
2) Using logrotate to compress and archive log files on a periodic basis according to rules in /etc/logrotate.conf and /etc/logrotate.d/.
3) Configuring remote logging with syslog or syslog-ng by sending messages from clients to a central server.
Lessons Learned Running InfluxDB Cloud and Other Cloud Services at Scale by T...InfluxData
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Syslog Centralization Logging with Windows ~ A techXpress Guide
1. Express-Guide
~to~
Basic Setup of
SYSLOG
Centralization of Linux with Windows
by, ABK ~ http://www.twitter.com/aBionic
::Task Detail::
Setting up a centralized Syslog service to get EventLogs from all Windows Hosts
(using a Windows EventLog Agent sending it in Syslog format) being analyzed.
::Background::
Links: http://www.syslog.org
Syslog is the standard for program message logging initially developed for
SendMail. It's now used for general service messages. Some standard
settings are
◦ Messages refer to a facility (auth, authpriv, daemon, cron, ftp, lpr, kern,
mail, news, syslog, user, uucp, local0, ... , local7)
◦ Assigned a priority/level (Emergency, Alert, Critical, Error, Warning,
Notice, Info or Debug)
::Execution Method::
This task was mainly composed of three sub-tasks detailed as
Configuring EventLog Agent(s)
We used 'NTSyslog' utility as a Syslog Agent on Windows Machines, used to
send every event-log to Syslog Server in it's format.
Pre-Requisite: DotNet Framework 3.5 SP1
::Steps::
◦ Install 'NTSyslog'
◦ Start 'NTSyslog Service Control Manager'
◦ Select 'Computer', set the 'HostName' as desired
◦ Select 'Syslog Daemons', enter IP of Syslog Servers (max. 2 allowed)
2. ◦ In Combo-Box, for 'Application', 'Security' and 'System' set the
'Facility' you will be configuring your Syslog server to listen for.
◦ Click to 'Start Service'
◦ Close it (this will still run it as a service, just don't kill the process)
Configuring Syslog Server
Pre-Requisite: normally syslog is present on all popular POSiX machines,
just check you have it or it's newer advancement syslog-ng running at your
box
::Steps:: for 'syslog' to listen for Remote Syslog Messages
◦ Open Syslog's Configuration file in any text editor
{in Debian default is /etc/init.d/sysklogd; in Fedora/CentOS it's
/etc/sysconfig/syslog}
◦ Find for line containing text (within '<>')
< SYSLOGD="" > and change it to text (within '<>')
< SYSLOGD="-r -m0" >
::Steps:: for 'syslog' to handle the received messages
◦ Add following lines to it to log the messages
*.* /var/logs/all_Logs.log
*.emerg /var/logs/emergency_Logs.log
*.alert /var/logs/alert_Logs.log
*.crit /var/logs/critical_Logs.log
//suppose you set 'local7' for 'debug' as 'Facility' in NTSyslog;
//then local7.debug /var/logs/win_local7.log
◦ Save and Close your Syslog Configuration file
◦ Open '/etc/logrotate.d/syslog' file in any text editor
◦ To keep logs truncated after some time, add your Log file names with
absolute path at starting. Then Save and Close the file.
◦ Restart 'SyslogD' service
::Steps:: for 'syslog-ng' if required
◦ Normally, its configuration file has following pattern
▪ options{}, defining global properties
▪ source <gatewaySname>{}, defining sources of Logs and can be
more than one
▪ destination <localhost>{}, defining location to dump output and it
can be anything from file to command and pipe to n/w stream.
▪ log{}, co-relating different 'source' and 'destination' entries
◦ This pattern will be specified in the respective service you are trying to
implement using it, like in our case we set 'source' as all messages
received and destination as mysql db
Setting up Web Application to analyze the collected logs this is just required
to analyze the logs collected in a better UI. There are several open-source
3. options present for it.
PHP-Syslog and PHP-Syslog-NG are two such services which can be
deployed as a Web-Service over normal Apache as per instructions attached
with it in README.
LogZilla is also a similar newer model of service with a detailed database of
its own to provide better understanding of the logs.
::Tools/Technology Used::
NTSyslog as Syslog Agents on Windows: http://ntsyslog.sourceforge.net/
syslog/syslog-ng on Linux machine to act as a server: http://www.syslog.org/
LogZilla as Web GUI to analyze the information: http://www.logzilla.pro/
::Inference::
Deploying Syslog Server and NTSyslog based hosts was very easy.
Deploying the open-source Web Services took much effort to get deployed
due to its compatibility over certain Linux Distros and Versions giving
problems for the interfacing of this service with syslog-ng to collect logs.
::Troubleshooting/Updates::
Problem: The actual aim of this task was to analyze the events of all hosts
from a central location to analyze any problem occurring. But a problem
arise that Syslog Service had an upper limit over Event Description Content,
so NTSyslog had to truncate the Description and send. So, due to
incomplete description it wasn't feasible to analyze the exact problem.
Solution:
I'm working on a Project 'eVuVeR' for this task including all 3 components
discussed and more monitoring capabilities... soon to be released.