Click here to close now.

Welcome!

Java Authors: Carmen Gonzalez, Plutora Blog, Harry Trott, Liz McMillan, Pat Romanski

Related Topics: Big Data Journal, Java, SOA & WOA, Linux, Cloud Expo, SDN Journal

Big Data Journal: Blog Feed Post

Big Data Monitoring

At the heart of any big data architecture is going to be some sort of NoSQL data repository

The term "Big Data" is quite possibly one of the most difficult IT-related terms to pin down ever. There are so many potential types of, and applications for Big Data that it can be a bit daunting to consider all of the possibilities. Thankfully, for IT operations staff, Big Data is mostly a bunch of new technologies that are being used together to solve some sort of business problem. In this blog post I'm going to focus on what IT Operations teams need to know about big data technology and support.

Big Data Repositories
At the heart of any big data architecture is going to be some sort of NoSQL data repository. If you're not very familiar with the various types of NoSQL databases that are out there today I recommend reading this article on the MongoDB website. These repositories are designed to run in a distributed/clustered manner so they they can process incoming queries as fast as possible on extremely large data sets.

MongoDB Request Diagram

Source: MongoDB

An important concept to understand when discussing big data repositories is the concept of sharding. Sharding is when you take a large database and break it down into smaller sets of data which are distributed across server instances. This is done to improve performance as your database can be highly distributed and the amount of data to query is less than the same database without sharding. It also allows you to keep scaling horizontally and that is usually much easier than having to scale vertically. If you want more details on sharding you can reference this Wikipedia page.

Application Performance Considerations
Monitoring the performance of big data repositories is just as important as monitoring the performance of any other type of database. Applications that want to use the data stored in these repositories will submit queries in much the same way as traditional applications querying relational databases like Oracle, SQL Server, Sybase, DB2, MySQL, PostgreSQL, etc... Let's take a look at more information from the MongoDB website. In their documentation there is a section on monitoring MongoDB that states "Monitoring is a critical component of all database administration." This is a simple statement that is overlooked all too often when deploying new technology in most organizations. Monitoring is usually only considered once major problems start to crop up and by that time there has already been impact to the users and the business.

RedisDashboard

Dashboard showing Redis key metrics.

One thing that we can't forget is just how important it is to monitor not only the big data repository, but to also monitor the applications that are querying the repository. After all, those applications are the direct clients that could be responsible for creating a performance issue and that certainly rely on the repository to perform well when queried. The application viewpoint is where you will first discover if there is a problem with the data repository that is actually impacting the performance and/or functionality of the app itself.

Monitoring Examples
Now that we have built a quick foundation of big data knowledge, how do we monitor them in the real world?

End to end flow - As we already discussed, you need to understand if your big data applications are being impacted by the performance of your big data repositories. You do that by tracking all of the application transactions across all of the application tiers and analyzing their response times. Given this information it's easy to identify exactly which components are experiencing problems at any given time.

FS Transaction View

Code level details - When you've identified that there is a performance problem in your big data application you need to understand what portion of the code is responsible for the problems. The only way to do this is by using a tool that provides deep code diagnostics and is capable of showing you the call stack of your problematic transactions.

Cassandra_Call_Stack

Back end processing - Tracing transactions from the end user, through the application tier, and into the backend repository is required to properly identify and isolate performance problems. Identification of poor performing backend tiers (big data repositories, relational databases, etc...) is easy if you have the proper tools in place to provide the view of your transactions.

Backend_Detection

AppDynamics detects and measures the response time of all backend calls.

Big data metrics - Each big data technology has it's own set of relevant KPIs just like any other technology used in the enterprise. The important part is to understand what is normal behavior for each metric while performance is good and then identify when KPIs are deviating from normal. This combined with the end to end transaction tracking will tell you if there is a problem, where the problem is, and possibly the root cause. AppDynamics currently has monitoring extensions for HBase, MongoDB, Redis, Hadoop, Cassandra, CouchBase, and CouchDB. You can find all AppDynamics platform extensions by clicking here.

HadoopDashboard

Hadoop KPI Dashboard 1

HadoopDashboard2

Hadoop KPI Dashboard 2

Big data deep dive - Sometimes KPIs aren't enough to help solve your big data performance issues. That's when you need to pull out the big guns and use a deep dive tool to assist with troubleshooting. Deep dive tools will be very detailed and very specific to the big data repository type that you are using/monitoring. In the screen shots below you can see details of AppDynamics monitoring for MongoDB.

MongoDB Monitoring 1

MongoDB Monitoring 2

MongoDB Monitoring 3

MongoDB Monitoring 4

If your company is using big data technology, it's IT operations' responsibility to deploy and support a cohesive performance monitoring strategy for the inevitable performance degradation that will cause business impact. See what AppDynamics has to offer by signing up for our free trial today.

The post Big Data Monitoring written by Jim Hirschauer appeared first on Application Performance Monitoring Blog from AppDynamics.

Read the original blog entry...

More Stories By AppDynamics Blog

In high-production environments where release cycles are measured in hours or minutes — not days or weeks — there's little room for mistakes and no room for confusion. Everyone has to understand what's happening, in real time, and have the means to do whatever is necessary to keep applications up and running optimally. DevOps is a high-stakes world, but done well, it delivers the agility and performance to significantly impact business competitiveness.

@ThingsExpo Stories
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 ...
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...
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.
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...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
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...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add scalable realtime functionality with minimal effort and cost.”
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...
In the consumer IoT, everything is new, and the IT world of bits and bytes holds sway. But industrial and commercial realms encompass operational technology (OT) that has been around for 25 or 50 years. This grittier, pre-IP, more hands-on world has much to gain from Industrial IoT (IIoT) applications and principles. But adding sensors and wireless connectivity won’t work in environments that demand unwavering reliability and performance. In his session at @ThingsExpo, Ron Sege, CEO of Echelon, will discuss how as enterprise IT embraces other IoT-related technology trends, enterprises with i...
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data they generate about customer usage and product performance to deliver extremely compelling and reliabl...
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to make sense of it all.
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics archive, in his session at @ThingsExpo, Jim Kaskade, Vice President and General Manager, Big Data & Ana...
One of the biggest impacts of the Internet of Things is and will continue to be on data; specifically data volume, management and usage. Companies are scrambling to adapt to this new and unpredictable data reality with legacy infrastructure that cannot handle the speed and volume of data. In his session at @ThingsExpo, Don DeLoach, CEO and president of Infobright, will discuss how companies need to rethink their data infrastructure to participate in the IoT, including: Data storage: Understanding the kinds of data: structured, unstructured, big/small? Analytics: What kinds and how responsiv...
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery. In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use cases.
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
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...
SYS-CON Events announced today that GENBAND, a leading developer of real time communications software solutions, has been named “Silver Sponsor” of SYS-CON's WebRTC Summit, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. The GENBAND team will be on hand to demonstrate their newest product, Kandy. Kandy is a communications Platform-as-a-Service (PaaS) that enables companies to seamlessly integrate more human communications into their Web and mobile applications - creating more engaging experiences for their customers and boosting collaboration and productiv...
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, shared some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, a...