Welcome!

Cognitive Computing Authors: Zakia Bouachraoui, Elizabeth White, Pat Romanski, Yeshim Deniz, Liz McMillan

Blog Feed Post

Building custom monitor with Pentaho Kettle

free-website-monitoringMonitis open API and available collection of open source monitoring and management scripts provide nice possibility for finding solutions for monitoring your systems. Still there are many cases when you need a specific monitor and do not have or don’t want to spend much time on coding. That is the reason of presenting the very simple and easy way of building custom monitors with Pentaho Data Integration suite.

Pentaho Data Integration (PDI) – Kettle is a free, open source ETL (Extraction, Transformation and Loading) tool. Along with powerful data extract, transform and load capabilities, Kettle provides intuitive and rich graphical design environment – Spoon. Spoon is a fast and easy way for building applications without writing a code. Drag and drop interface allows to graphically construct transformations and jobs.

To start with Kettle we recommend the following tutorial, it is a help with installation and introduction to Spoon; PDI user guide and brief introduction to Kettle components.

In our article we want to present a very simple way of building custom monitor using Spoon. Moreover, our goal today will be monitoring of a business performance data opposite to usual system or application monitoring. Actually monitored data can be any information extracted from your database that needs to be shared and/or monitored. We’ll build a monitor that based on SQL query, will trace test table Orders, randomly populated with data, by order statuses. In this case number of orders grouped by current status (In Process, On Hold, Shipped and Cancelled) will act as metrics for our custom monitor.

To start, please, just have a look at Monitis API documentation. For creating custom monitor we need to implement the steps described below:

1.       Authentication – using Monitis API key and secret key (keys are available from your Monitis account: Tools->API) we need to get authentication token that will be used further for creating monitor and posting data.

For that, the following transformation

was created, using transformation steps listed below:

  to provide API url, API key, secret key and other request parameters for API calls
  HTTP request for Authentication token
  Json input for parsing result of Authentication token request
  and selection of needed parameter to be used later

 

After testing, we will implement small changes for converting created transformation to sub-transformation by simply adding Input and Output Specification as a start and end steps and removing info about API and secret key from parameters. This information will be provided in main transformations as an input for Authentication sub-transformation. Actually, we have created building block for our next steps which can be used in other transformation without any changes.

 

2.       Creating monitor

 

Here Data Grid steps are used for providing necessary input information:

  API key and secret key in User data, as an input for Authentication  sub-transformation
  monitor parameters
  and metrics description

User Defined Java Expression step and Group By step for constructing parameter list for create monitor API call:

All the parameters are grouped by the Join Rows “Add Monitor Param” step resulting as an input for Add Monitor HTTP Post request . Write to Log step is providing information on transformation execution results where Data field is the ID of created monitor and will be used in the next transformation.

 

3.       Posting metric results for custom monitor

As an input here along with the user data (API and secret keys) we have Custom Monitor ID – result of Create Monitor transformation and Table Input step, which will retrieve the necessary information from database.

HTTP Post step will execute API call for posting monitor data.

 

4.       Creating a job

The only thing left is just creating a simple job to run the transformation for posting metric results.

After test you can use any scheduler to run the created job using Pentaho Kitchen, a standalone command line process that can be used to execute jobs.

And here we can see our custom monitor on Monitis dashboard.

 

 

Using these simple transformations as a basis, you can create monitors by just changing input parameters and SQL query in Table Input step for retrieving metric data. Moreover, instead of Table Input step any other transformation Input, Utility, Lookup or Scripting step can be used as a source for monitored data. That will allow you to access relational and NOSQL databases and log files or data input of any format (CSV, JSON, XML, YAML, Excel, plain text …); to base monitor on script execution, Java classes or shell/process output; HTTP, REST and WSDL requests; fetch data from Google analytics account – just feel free to explore rich collection of Spoon transformation steps.

 

Share Now:del.icio.usDiggFacebookLinkedInBlinkListDZoneGoogle BookmarksRedditStumbleUponTwitterRSS

Read the original blog entry...

More Stories By Hovhannes Avoyan

Hovhannes Avoyan is the CEO of PicsArt, Inc.,

IoT & Smart Cities Stories
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by ...
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Cell networks have the advantage of long-range communications, reaching an estimated 90% of the world. But cell networks such as 2G, 3G and LTE consume lots of power and were designed for connecting people. They are not optimized for low- or battery-powered devices or for IoT applications with infrequently transmitted data. Cell IoT modules that support narrow-band IoT and 4G cell networks will enable cell connectivity, device management, and app enablement for low-power wide-area network IoT. B...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...