Click here to close now.

Welcome!

Java Authors: Elizabeth White, Carmen Gonzalez, Plutora Blog, Pat Romanski, Harry Trott

Blog Feed Post

Using the Python SDK for Monitis Custom Monitors

One advantage of using Monitis to monitor your systems and applications is the flexibility to use either the native agent or custom monitor code written in virtually any language. For custom monitors, the REST API provides the basic foundation to interface programmatically with Monitis. For many popular languages, there are open source SDKs available to make the process of interfacing with Monitis even easier. You can find links to Java, Perl, PHP, Ruby, C#, PowerShell, and VisualBasic SDKs and example scripts at http://monitis.com/api/api.html#sdk.

The Monitis Sandbox

For this article, we’ll be using the Monitis sandbox, a free development environment available to aid in the creation of Monitis custom monitors. You can sign up for an account at http://sandbox.monitis.com/.

Netstat

Netstat is a command available on unix systems to provide information about the state of the network interfaces. It has several modes, one of which can display statistics about the number of packets and datagrams sent and received. While there is no common API across unix systems to access this data, it is possible to extract this information from the text output of the program. Since the output varies slightly from system to system, it is necessary to take these variations into account when using that output.

Netstat examples using the Python Monitis SDK

The examples for this article are available at https://github.com/monitisexchange/Python-SDK/tree/master/examples. There are two examples. The first, monitis_netstat.py, can be used as is to create, list, update, and delete netstat monitors. The second, monitis_netstat_minimal.py, is a minimal implementation intended to illustrate the concepts for this article, but lacking the structure to handle command line arguments, different operating systems, etc.

monitis_netstat_minimal.py

Let’s take a look at monitis_netstat_minimal.py, line by line. It illustrates many of the core concepts in the Python SDK.

The following lines are imports from the Python standard library, used for calling netstat, searching its output, and comparing output from netstat with that retrieved via the SDK.

from subprocess import Popen, PIPE
from re import findall
from datetime import datetime

Next are the imports from the Monitis Python SDK itself, used for creating new monitors and fetching existing monitors.

from monitis.monitors.custom import CustomMonitor, get_monitors
from monitis.monitors.params import ResultParams, DataType
from monitis.api import Monitis

The Monitis.sandbox flag causes the SDK to use the Monitis developer’s sandbox, http://sandbox.monitis.com. By default, when this flag isn’t set, it uses the production environment, http://www.monitis.com.

Monitis.sandbox = True

The following block creates a new monitor. ResultParams encapsulates the format for the parameters that a monitor accepts. One or more of them can be passed in to the next line. CustomMonitor.addMonitor takes the parameters and creates a monitor based on them. It returns a new CustomMonitor object that represents the monitor in the Monitis API.

rp = ResultParams(
    'tcp_packets_in','TCP Packets In','pkts/s', DataType('integer'))
cm = CustomMonitor.add_monitor(rp, name='netstat monitor', tag='netstat')
print "Created monitor: %s" % cm.monitor_id

This code extracts the interesting data from the netstat output. In this case, that data is the count of TCP packets received. This is the only block of code in the minimal sample program that really isn’t dependent on the API. A different monitor could get data in any number of ways. Note that this call to netstat is based on OS X style output, but only a small change to the command and matching string is required to adapt it to virtually any unix-like operating system.

subproc = Popen(
    'netstat -s -p tcp | grep "packets received$"', shell=True, stdout=PIPE)
(netstat_out, netstat_err) = subproc.communicate()
count = findall('(\d+) packets received', netstat_out)[0]

Next, add_result takes the new data, and posts it in the format defined earlier in ResultParams.

cm.add_result(tcp_packets_in=count)

Here, we check that retrieving the results from the monitor gets back the same data that we put in.

today = datetime.utcnow()
result = cm.get_monitor_results(today.year, today.month, today.day)

Finally, delete the monitor. This exists in this example so that it cleans up after itself and doesn’t cause unused custom monitors to pile up.

cm.delete_monitor()

In typical usage, a monitor is only deleted when that data is no longer needed. This principle is explored further in monitis_netstat.py.

monitis_netstat.py

Under normal circumstances, a monitor is created once, data is updated on a periodic basis over time, and then that data is viewed in the Monitis web interface. To ilustrate this, monitis_netstat.py has command line flags to create, list, delete, and update a monitor.

Create

Create a new netstat monitor:

$ examples/monitis_netstat.py -s -c netstat_mon
Using name netstat_mon
Created new netstat monitor

List

List the monitors to verify that ours was created:

$ examples/monitis_netstat.py -s -l
2267	netstat_mon

Update

Run the monitor 10 times over five minutes to gather some data to display.

$ while (true) do examples/monitis_netstat.py -s -u 2267; sleep 30; done
1253222, 1616400, 381497, 551524
1253393, 1616514, 381505, 551536
1253436, 1616553, 381512, 551545
1253468, 1616580, 381514, 551549
1253485, 1616596, 381517, 551558
1253526, 1616633, 381522, 551609
1253564, 1616666, 381531, 551622
1253599, 1616695, 381536, 551629
1253623, 1616716, 381538, 551633
1253647, 1616740, 381544, 551638

Once this is complete, the results can be seen in the web interface.

Delete

$ examples/monitis_netstat.py -s -d 2267
Monitor 2267 deleted
$ examples/monitis_netstat.py -s -l

Try it

To get the code and try this yourself, you can clone a copy from GitHub, install the Monitis SDK module, and run it on your own system.

git clone git://github.com/monitisexchange/Python-SDK.git
cd Python-SDK
sudo python setup.py install

Monitis API Keys

Before you can run the tools, you will also need to set up the Monitis API Key and Secret Key. By default, these are read from the following environment variables, which you can set on the command line, or add to your .bashrc or other login command file. The values for these keys can be retrieved via the web user interface under Tools -> API -> API Key.

# production keys
export MONITIS_APIKEY='API KEY'
export MONITIS_SECRETKEY='SECRET KEY'
# sandbox keys
export MONITIS_SANDBOX_APIKEY='SANDBOX API KEY'
export MONITIS_SANDBOX_SECRETKEY='SANDBOX SECRET KEY'

Conclusion

While the Monitis REST API makes creating custom monitors simple in almost any language, it becomes truly easy with an SDK to handle the REST interactions. This article has illustrated just how effortless it can be to collect important information from your systems and record it in Monitis custom monitors.

Signup and use free monitis sandbox here - http://sandbox.monitis.com.

See also Python Performance Tips, Part 1

Share Now:del.icio.usDiggFacebookLinkedInBlinkListDZoneGoogle BookmarksRedditStumbleUponTwitterRSS

Read the original blog entry...

@ThingsExpo Stories
Disruptive macro trends in technology are impacting and dramatically changing the "art of the possible" relative to supply chain management practices through the innovative use of IoT, cloud, machine learning and Big Data to enable connected ecosystems of engagement. Enterprise informatics can now move beyond point solutions that merely monitor the past and implement integrated enterprise fabrics that enable end-to-end supply chain visibility to improve customer service delivery and optimize supplier management. Learn about enterprise architecture strategies for designing connected systems tha...
Dale Kim is the Director of Industry Solutions at MapR. His background includes a variety of technical and management roles at information technology companies. While his experience includes work with relational databases, much of his career pertains to non-relational data in the areas of search, content management, and NoSQL, and includes senior roles in technical marketing, sales engineering, and support engineering. Dale holds an MBA from Santa Clara University, and a BA in Computer Science from the University of California, Berkeley.
Wearable devices have come of age. The primary applications of wearables so far have been "the Quantified Self" or the tracking of one's fitness and health status. We propose the evolution of wearables into social and emotional communication devices. Our BE(tm) sensor uses light to visualize the skin conductance response. Our sensors are very inexpensive and can be massively distributed to audiences or groups of any size, in order to gauge reactions to performances, video, or any kind of presentation. In her session at @ThingsExpo, Jocelyn Scheirer, CEO & Founder of Bionolux, will discuss ho...
The cloud is now a fact of life but generating recurring revenues that are driven by solutions and services on a consumption model have been hard to implement, until now. In their session at 16th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, will discuss how a top European telco has leveraged the innovative recurring revenue generating capability of the consumption cloud to enable a unique cloud monetization model to drive results.
As organizations shift toward IT-as-a-service models, the need for managing and protecting data residing across physical, virtual, and now cloud environments grows with it. CommVault can ensure protection &E-Discovery of your data – whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise. In his session at 16th Cloud Expo, Randy De Meno, Chief Technologist - Windows Products and Microsoft Partnerships, will discuss how to cut costs, scale easily, and unleash insight with CommVault Simpana software, the only si...
Analytics is the foundation of smart data and now, with the ability to run Hadoop directly on smart storage systems like Cloudian HyperStore, enterprises will gain huge business advantages in terms of scalability, efficiency and cost savings as they move closer to realizing the potential of the Internet of Things. In his session at 16th Cloud Expo, Paul Turner, technology evangelist and CMO at Cloudian, Inc., will discuss the revolutionary notion that the storage world is transitioning from mere Big Data to smart data. He will argue that today’s hybrid cloud storage solutions, with commodity...
Cloud data governance was previously an avoided function when cloud deployments were relatively small. With the rapid adoption in public cloud – both rogue and sanctioned, it’s not uncommon to find regulated data dumped into public cloud and unprotected. This is why enterprises and cloud providers alike need to embrace a cloud data governance function and map policies, processes and technology controls accordingly. In her session at 15th Cloud Expo, Evelyn de Souza, Data Privacy and Compliance Strategy Leader at Cisco Systems, will focus on how to set up a cloud data governance program and s...
Every innovation or invention was originally a daydream. You like to imagine a “what-if” scenario. And with all the attention being paid to the so-called Internet of Things (IoT) you don’t have to stretch the imagination too much to see how this may impact commercial and homeowners insurance. We’re beyond the point of accepting this as a leap of faith. The groundwork is laid. Now it’s just a matter of time. We can thank the inventors of smart thermostats for developing a practical business application that everyone can relate to. Gone are the salad days of smart home apps, the early chalkb...
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been involved at the beginning of four IT industries: EDA, Open Systems, Computer Security and now SOA.
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focused on understanding how industrial data can create intelligence for industrial operations. Imagine ...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze rea...
Today’s enterprise is being driven by disruptive competitive and human capital requirements to provide enterprise application access through not only desktops, but also mobile devices. To retrofit existing programs across all these devices using traditional programming methods is very costly and time consuming – often prohibitively so. In his session at @ThingsExpo, Jesse Shiah, CEO, President, and Co-Founder of AgilePoint Inc., discussed how you can create applications that run on all mobile devices as well as laptops and desktops using a visual drag-and-drop application – and eForms-buildi...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes for use cases across the industrial, enterprise, and consumer segments.
SYS-CON Events announced today that Dyn, the worldwide leader in Internet Performance, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Dyn is a cloud-based Internet Performance company. Dyn helps companies monitor, control, and optimize online infrastructure for an exceptional end-user experience. Through a world-class network and unrivaled, objective intelligence into Internet conditions, Dyn ensures traffic gets delivered faster, safer, and more reliably than ever.
Containers and microservices have become topics of intense interest throughout the cloud developer and enterprise IT communities. Accordingly, attendees at the upcoming 16th Cloud Expo at the Javits Center in New York June 9-11 will find fresh new content in a new track called PaaS | Containers & Microservices Containers are not being considered for the first time by the cloud community, but a current era of re-consideration has pushed them to the top of the cloud agenda. With the launch of Docker's initial release in March of 2013, interest was revved up several notches. Then late last...
CommVault has announced that top industry technology visionaries have joined its leadership team. The addition of leaders from companies such as Oracle, SAP, Microsoft, Cisco, PwC and EMC signals the continuation of CommVault Next, the company's business transformation for sales, go-to-market strategies, pricing and packaging and technology innovation. The company also announced that it had realigned its structure to create business units to more directly match how customers evaluate, deploy, operate, and purchase technology.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
Performance is the intersection of power, agility, control, and choice. If you value performance, and more specifically consistent performance, you need to look beyond simple virtualized compute. Many factors need to be considered to create a truly performant environment. In his General Session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, discussed how to take advantage of a multitude of compute options and platform features to make cloud the cornerstone of your online presence.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...