Welcome!

@CloudExpo Authors: Liz McMillan, Elizabeth White, Yeshim Deniz, Pat Romanski, Maria C. Horton

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
HyperConvergence came to market with the objective of being simple, flexible and to help drive down operating expenses. It reduced the footprint by bundling the compute/storage/network into one box. This brought a new set of challenges as the HyperConverged vendors are very focused on their own proprietary building blocks. If you want to scale in a certain way, let's say you identified a need for more storage and want to add a device that is not sold by the HyperConverged vendor, forget about it...
Evan Kirstel is an internationally recognized thought leader and social media influencer in IoT (#1 in 2017), Cloud, Data Security (2016), Health Tech (#9 in 2017), Digital Health (#6 in 2016), B2B Marketing (#5 in 2015), AI, Smart Home, Digital (2017), IIoT (#1 in 2017) and Telecom/Wireless/5G. His connections are a "Who's Who" in these technologies, He is in the top 10 most mentioned/re-tweeted by CMOs and CIOs (2016) and have been recently named 5th most influential B2B marketeer in the US. H...
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development ...
In an era of historic innovation fueled by unprecedented access to data and technology, the low cost and risk of entering new markets has leveled the playing field for business. Today, any ambitious innovator can easily introduce a new application or product that can reinvent business models and transform the client experience. In their Day 2 Keynote at 19th Cloud Expo, Mercer Rowe, IBM Vice President of Strategic Alliances, and Raejeanne Skillern, Intel Vice President of Data Center Group and ...
"We are a well-established player in the application life cycle management market and we also have a very strong version control product," stated Flint Brenton, CEO of CollabNet,, in this SYS-CON.tv interview at 18th Cloud Expo at the Javits Center in New York City, NY.
Vulnerability management is vital for large companies that need to secure containers across thousands of hosts, but many struggle to understand how exposed they are when they discover a new high security vulnerability. In his session at 21st Cloud Expo, John Morello, CTO of Twistlock, addressed this pressing concern by introducing the concept of the “Vulnerability Risk Tree API,” which brings all the data together in a simple REST endpoint, allowing companies to easily grasp the severity of the ...
Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., discussed how these tools can be leveraged to develop a lasting competitive advantage ...
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, discussed how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He also discussed how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds – an increasingly important requirement at today’s multi-cloud enterprise.
Here are the Top 20 Twitter Influencers of the month as determined by the Kcore algorithm, in a range of current topics of interest from #IoT to #DeepLearning. To run a real-time search of a given term in our website and see the current top influencers, click on the topic name. Among the top 20 IoT influencers, ThingsEXPO ranked #14 and CloudEXPO ranked #17.
While the focus and objectives of IoT initiatives are many and diverse, they all share a few common attributes, and one of those is the network. Commonly, that network includes the Internet, over which there isn't any real control for performance and availability. Or is there? The current state of the art for Big Data analytics, as applied to network telemetry, offers new opportunities for improving and assuring operational integrity. In his session at @ThingsExpo, Jim Frey, Vice President of S...
In their session at @DevOpsSummit at 21st Cloud Expo, Michael Berman, VP Engineering at TidalScale, and Ivo Jimenez, Engineer at TidalScale, will describe how automating tests in TidalScale is easy thanks to WaveRunner. They will show how they use WaveRunner, Jenkins, and Docker to have agile delivery of TidalScale. Michael Berman is VP Engineering at TidalScale. TidalScale is developing a scale up compute and resource architecture for customers to perform big data exploration and real time anal...
Your homes and cars can be automated and self-serviced. Why can't your storage? From simply asking questions to analyze and troubleshoot your infrastructure, to provisioning storage with snapshots, recovery and replication, your wildest sci-fi dream has come true. In his session at @DevOpsSummit at 20th Cloud Expo, Dan Florea, Director of Product Management at Tintri, provided a ChatOps demo where you can talk to your storage and manage it from anywhere, through Slack and similar services with...
Containers are rapidly finding their way into enterprise data centers, but change is difficult. How do enterprises transform their architecture with technologies like containers without losing the reliable components of their current solutions? In his session at @DevOpsSummit at 21st Cloud Expo, Tony Campbell, Director, Educational Services at CoreOS, will explore the challenges organizations are facing today as they move to containers and go over how Kubernetes applications can deploy with lega...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.
"This week we're really focusing on scalability, asset preservation and how do you back up to the cloud and in the cloud with object storage, which is really a new way of attacking dealing with your file, your blocked data, where you put it and how you access it," stated Jeff Greenwald, Senior Director of Market Development at HGST, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Enterprise architects are increasingly adopting multi-cloud strategies as they seek to utilize existing data center assets, leverage the advantages of cloud computing and avoid cloud vendor lock-in. This requires a globally aware traffic management strategy that can monitor infrastructure health across data centers and end-user experience globally, while responding to control changes and system specification at the speed of today’s DevOps teams. In his session at 20th Cloud Expo, Josh Gray, Chie...
FinTechs use the cloud to operate at the speed and scale of digital financial activity, but are often hindered by the complexity of managing security and compliance in the cloud. In his session at 20th Cloud Expo, Sesh Murthy, co-founder and CTO of Cloud Raxak, showed how proactive and automated cloud security enables FinTechs to leverage the cloud to achieve their business goals. Through business-driven cloud security, FinTechs can speed time-to-market, diminish risk and costs, maintain continu...
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
In his session at Cloud Expo, Alan Winters, U.S. Head of Business Development at MobiDev, presented a success story of an entrepreneur who has both suffered through and benefited from offshore development across multiple businesses: The smart choice, or how to select the right offshore development partner Warning signs, or how to minimize chances of making the wrong choice Collaboration, or how to establish the most effective work processes Budget control, or how to maximize project result...