Welcome!

@CloudExpo Authors: Zakia Bouachraoui, Elizabeth White, Liz McMillan, Pat Romanski, Roger Strukhoff

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Agile Computing

@CloudExpo: Blog Feed Post

Data Clouds Part II: My Big Data Dashboard

Database monitoring used to be easy in the days before data clouds

In my previous blog, I wrote at length about the complexities of running a data cloud in production. This logical data set, spread across many nodes, requires a whole new set of tools and methodologies to run and maintain. Today we’ll look at one of the biggest challenges in managing a data cloud – monitoring.

Database monitoring used to be easy in the days before data clouds. Datasets were stored in a single large database, and there were hundreds of off-the-shelf products available to monitor the performance of that database. When problems occurred, one had simply to open up the monitoring tool and look at a set of graphs and metrics to diagnose the problem.

There are no off-the-shelf tools for monitoring a data cloud, however. There’s no easy way to get a comprehensive view of your entire data cloud, let alone diagnose problems and monitor performance. Database monitoring solutions simply don’t cut it in this kind of environment. So how do we monitor the performance of our data cloud? I’ll tell you what I did.

It just so happens I work at AppDynamics, one of the most powerful application monitoring tools on the market. We monitor all parts of your application including the data layer, with visibility into both Relational and NoSQL systems like Cassandra. With AppDynamics I was able to create a dashboard that gives me a single pane-of-glass view into the performance of my data cloud.

Big Data Dashboard

My Big Data Dashboard
This dashboard is now used in several departments at AppDynamics including Operations, QA, Performance and development teams to see how our data cloud is running. All key metrics about all of our replicas are graphed side by side on one screen. This is the dream of anyone running big data systems in production!

Of course, not all problems are system wide. More often than not you need to drill into one replica or replica set to find a problem. To do that, I simply double click on any part of my big data dashboard to focus on a single replica, change the time range, and add more metrics.

Data clouds are difficult to run, and there aren’t any database monitoring tools fit to monitor them yet. But instead of sitting around waiting for data monitoring tools to catch up with our needs, I’ve built my own Big Data Dashboard with monitoring tool designed for applications.

Of course the fun doesn’t stop here…I still need to find a way to set up alerts and do performance tuning for my data cloud. Stay tuned for more blogs in this series to see how I do it!

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
The precious oil is extracted from the seeds of prickly pear cactus plant. After taking out the seeds from the fruits, they are adequately dried and then cold pressed to obtain the oil. Indeed, the prickly seed oil is quite expensive. Well, that is understandable when you consider the fact that the seeds are really tiny and each seed contain only about 5% of oil in it at most, plus the seeds are usually handpicked from the fruits. This means it will take tons of these seeds to produce just one bottle of the oil for commercial purpose. But from its medical properties to its culinary importance, skin lightening, moisturizing, and protection abilities, down to its extraordinary hair care properties, prickly seed oil has got lots of excellent rewards for anyone who pays the price.
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected path for IoT innovators to scale globally, and the smartest path to cross-device synergy in an instrumented, connected world.
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
ScaleMP is presenting at CloudEXPO 2019, held June 24-26 in Santa Clara, and we’d love to see you there. At the conference, we’ll demonstrate how ScaleMP is solving one of the most vexing challenges for cloud — memory cost and limit of scale — and how our innovative vSMP MemoryONE solution provides affordable larger server memory for the private and public cloud. Please visit us at Booth No. 519 to connect with our experts and learn more about vSMP MemoryONE and how it is already serving some of the world’s largest data centers. Click here to schedule a meeting with our experts and executives.
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understanding as the environment changes.