Welcome!

SDN Journal Authors: Elizabeth White, Yeshim Deniz, Liz McMillan, Pat Romanski, TJ Randall

Related Topics: @DXWorldExpo, Java IoT, Microservices Expo, Linux Containers, @CloudExpo, SDN Journal

@DXWorldExpo: 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.

CloudEXPO Stories
DXWorldEXPO LLC announced today that the upcoming DXWorldEXPO | DevOpsSUMMIT | CloudEXPO New York will feature 10 companies from Poland to participate at the "Poland Digital Transformation Pavilion" on November 12-13, 2018. Polish Digital Transformation companies which will exhibit at CloudEXPO | DevOpsSUMMIT | DXWorldEXPO include All in Mobile, dhosting, Cryptomage, Perfect Gym, Polcom, Apius Technologies, Aplisens, ELZAB SA, TELDAT, and Rebug.io.
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 advisory roles at startups. He has worked extensively on monetization, SAAS, IoT, ecosystems, partnerships and accelerating growth in new business initiatives.
Lori MacVittie is a subject matter expert on emerging technology responsible for outbound evangelism across F5's entire product suite. MacVittie has extensive development and technical architecture experience in both high-tech and enterprise organizations, in addition to network and systems administration expertise. Prior to joining F5, MacVittie was an award-winning technology editor at Network Computing Magazine where she evaluated and tested application-focused technologies including app security and encryption-related solutions. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University, and is an O'Reilly author.
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 business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like "How is my application doing" but no idea how to get a proper answer.
Having been in the web hosting industry since 2002, dhosting has gained a great deal of experience while working on a wide range of projects. This experience has enabled the company to develop our amazing new product, which they are now excited to present! Among dHosting's greatest achievements, they can include the development of their own hosting panel, the building of their fully redundant server system, and the creation of dhHosting's unique product, Dynamic Edge.