Click here to close now.


Cloud Security Authors: David Dodd, Liz McMillan, Peter Silva, Steve Watts, Mark Hoover

Related Topics: @DevOpsSummit, Java IoT, Linux Containers, Containers Expo Blog, @CloudExpo, Cloud Security, @BigDataExpo, SDN Journal

@DevOpsSummit: Blog Post

Announcing AppDynamics Application Intelligence Platform

Today’s software defined businesses need the ability to see everything in their application environment

AppDynamics is excited to unveil details behind our new Application Intelligence Platform which is the technology foundation for the AppDynamics portfolio of performance monitoring, automation and analytics solutions (transaction analytics was also announced today).

Today’s software defined businesses need the ability to see everything in their application environment, act with certainty, and know faster. See, Act, & Know, the three core pillars of Application Intelligence.

See Act Know

Making sense of all the data, transactions, events and user interactions in these environments is increasingly difficult as the volume, variety and velocity of data grows. Traditional approaches to solving this problem are typically silo’d in their view providing limited business correlation and only present static data. In order to keep up with todays complexity, what’s needed is a platform that can collect, understand, and act on the data and translate that into actionable information about your business.

platform page - application intelligence platform graphic2

The AppDynamics Application Intelligence Platform is uniquely able to deliver rich performance data, learning, and analytics, combined with the flexibility to adapt to virtually any infrastructure or software environment. The platform was designed for the modern day application, including SOA architectures, frequent agile releases, cloud deployments, big data technologies and mobile delivery – and maintains a unique low-overhead architecture. This gives you the ability to instantly see the impact of production changes as you work, and adapt to optimize performance and minimize bottlenecks while ensuring the revenues are maximized.

Today’s consumer-driven world moves faster than ever. Everything from your customer experience to revenue depends on your business-critical applications performing at their highest level. AppDynamics delivers real-time access to every aspect of your performance, so you can anticipate problems, resolve them automatically, and make smarter, more certain business decisions.  This includes detailed understanding of the user experience, business data such as real time revenue metrics, deep application performance and infrastructure data. All collected within context of business & operational transactions.

Platform Design Principles:
The Application Intelligence Platform is the underlying architecture that we use to deliver all of the capabilities a modern business needs to keep their business running at peak performance and use application intelligence as a competitive advantage.

The core design principles behind the AppDynamics Application Intelligence Platform include:

The interactions customers have with the business are highly dynamic, environments are larger and more hybrid and organizations are demanding IT transform the business faster than ever. AppDynamics monitors many of the largest, most complex enterprise application environments in the world, supporting environments up to 10,000 nodes on a single management server. This is critical for customers who do not want to manage and maintain a farm of servers.

Our platform was designed to be a production tool from the very beginning, giving it a unique low-overhead architecture. Intelligent data collection to ensure the lowest production overhead in the market. AppDynamics correlates end user business transaction details with completion status (success, error, exception), response times, and all other data points measured at any given time. It automatically analyzes the entire data set to provide information from which to draw conclusions and take the appropriate action.

Auto-instrumentation, and minimal configuration enables simple and intuitive operation for any size business. AppDynamics has a unique ability to instrument your application, learning its transactions, code execution behavior, and normal performance patterns. It can adapt and adjust instrumentation automatically when you change your application-no manual configuration needed.

Open and Extensible:
The AppDynamics platform is open, extensible, and interoperable to fit any business need. Through the AppDynamics Exchange our community comes together to share knowledge and contribute back over 100 extensions that provide deep integrations to the tools you already use like Splunk, Apica, PagerDuty, and Amazon Web Services. From monitoring Amazon Web Services costs to MEAS mainframes our extensions allow you to leverage the tools you already have in place. We believe you own your data and it should be easy to consume and analyze which is why we provide REST APIs and SDKs available on GitHub that make it as easy as possible to get started.

The platform can be deployed in any operating model, including on-premise, SaaS, private cloud, or a hybrid combination. It’s always the exact same platform and there are no cost implications associated regardless of deployment model.

Provides enterprise grade security with Role-Based Access Control (RBAC), LDAP, and SaaS certifications that guarantee security and compliance.

What services are delivered on the Application Intelligence Platform?
The AppDynamics Application Intelligence Platform gives companies the foundation they need to monitor performance and extract meaningful analytics from their business applications. Software-defined businesses must be certain that their most complex, business-critical applications are performing at the highest level; and be certain that the data and information generated by these applications can be harnessed for ongoing business advantage and impact. AppDynamics’ Application Intelligence platform enables customers to monitor, respond, and analyze their application environment.


Application Performance Management

Mobile Application Monitoring

End User Experience Management

Database/NoSQL/BigData Monitoring

Infrastructure Monitoring


Run Book Automation

Cloud Auto-Scaling



Transaction Analytics (Beta)


Real-Time Business Metrics

analytics page - real-time business metrics graphic2

Operational Analytics

scalability analysis

The Application Intelligence Platform delivers this functionality by collecting data from across the application environment, processing & correlating it, and converting that data into knowledge for customers.

Collecting Data:

  • Instrumentation allows us to watch every line of code.
  • Distributed transaction tracing follows the business transaction across all tiers of the application, not just limited to a single node.

  • Transaction auto-learning engine inspects execution code, payload, libraries and methods so you are not left in the dark.

  • Real-time service discovery renders architecture topology to clearly and automatically map critical relationships and dependencies..

  • The smart agent filters and transfers data to the management server securely and in real-time.

Processing & Correlating Data

  • Real-time stream processing allows for complex event processing of metric and event streams.
  • Time series clustering and analytics provides the ability to index and manage time series by auto rolling up, purging or clustering data sets by time increments.

  • Behavioral learning is an engine that continuously adjusts dynamic baselines for an automated manageable data set.

  • Unstructured and structured big data indexing creates a data warehouse for different types of application data which is seamlessly correlated and processed.

  • Event correlation shows the relationship of performance, change, and business events.

Converting Data Into Knowledge

  • Intuitive user interface (UI) allows for a simple and easy-to-use platform for business users, developers and operations teams.

  • Dynamic flow maps create a clear and understandable visual representation of the application topology, so organizations understand what is happening in the big picture.

  • Cross-correlated drill down from anywhere in the UI, enabling pin-point accuracy across multiple nodes and machines.

  • Real-time correlation of performance metrics and business metrics create a business understanding of data never before delivered.

  • Compare and analyze the side-by side performance of different versions of an application.

  • Custom drag and drop HTML5 dashboards can be configured to any specification to deliver clear actionable results.

  • Query language allows easy, targeted data discovery.

In today’s competitive and demanding environment, organizations need to leverage Application Intelligence for ongoing business advantage. The AppDynamics Application Intelligence Platform enables customers to see everything across all front and back-end interactions: business transaction and code-level visibility with no blind spots.

Maximize digital business performance through an open, integrated solution that delivers real-time monitoring, actionable business and operational insights, and automated issue resolution across applications, infrastructure, and user experience. Take five minutes to get complete visibility and control into the applications that power your software-defined business. Get started with the AppDynamics Application Intelligence Platform today.

The post Announcing AppDynamics Application Intelligence Platform written by 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
I recently attended and was a speaker at the 4th International Internet of @ThingsExpo at the Santa Clara Convention Center. I also had the opportunity to attend this event last year and I wrote a blog from that show talking about how the “Enterprise Impact of IoT” was a key theme of last year’s show. I was curious to see if the same theme would still resonate 365 days later and what, if any, changes I would see in the content presented.
Cloud computing delivers on-demand resources that provide businesses with flexibility and cost-savings. The challenge in moving workloads to the cloud has been the cost and complexity of ensuring the initial and ongoing security and regulatory (PCI, HIPAA, FFIEC) compliance across private and public clouds. Manual security compliance is slow, prone to human error, and represents over 50% of the cost of managing cloud applications. Determining how to automate cloud security compliance is critical to maintaining positive ROI. Raxak Protect is an automated security compliance SaaS platform and ma...
We all know that data growth is exploding and storage budgets are shrinking. Instead of showing you charts on about how much data there is, in his General Session at 17th Cloud Expo, Scott Cleland, Senior Director of Product Marketing at HGST, showed how to capture all of your data in one place. After you have your data under control, you can then analyze it in one place, saving time and resources.
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi’s VP Business Development and Engineering, explored the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context with p...
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
Internet of @ThingsExpo, taking place June 7-9, 2016 at Javits Center, New York City and Nov 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 18th International @CloudExpo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo New York Call for Papers is now open.
With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo 2016 in New York and Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! Internet of @ThingsExpo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 17th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound cha...
Just over a week ago I received a long and loud sustained applause for a presentation I delivered at this year’s Cloud Expo in Santa Clara. I was extremely pleased with the turnout and had some very good conversations with many of the attendees. Over the next few days I had many more meaningful conversations and was not only happy with the results but also learned a few new things. Here is everything I learned in those three days distilled into three short points.
As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningful and actionable insights. In his session at @ThingsExpo, Paul Turner, Chief Marketing Officer at...
DevOps is about increasing efficiency, but nothing is more inefficient than building the same application twice. However, this is a routine occurrence with enterprise applications that need both a rich desktop web interface and strong mobile support. With recent technological advances from Isomorphic Software and others, rich desktop and tuned mobile experiences can now be created with a single codebase – without compromising functionality, performance or usability. In his session at DevOps Summit, Charles Kendrick, CTO and Chief Architect at Isomorphic Software, demonstrated examples of com...
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu’s platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
In his General Session at 17th Cloud Expo, Bruce Swann, Senior Product Marketing Manager for Adobe Campaign, explored the key ingredients of cross-channel marketing in a digital world. Learn how the Adobe Marketing Cloud can help marketers embrace opportunities for personalized, relevant and real-time customer engagement across offline (direct mail, point of sale, call center) and digital (email, website, SMS, mobile apps, social networks, connected objects).
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, exploreed the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
Two weeks ago (November 3-5), I attended the Cloud Expo Silicon Valley as a speaker, where I presented on the security and privacy due diligence requirements for cloud solutions. Cloud security is a topical issue for every CIO, CISO, and technology buyer. Decision-makers are always looking for insights on how to mitigate the security risks of implementing and using cloud solutions. Based on the presentation topics covered at the conference, as well as the general discussions heard between sessions, I wanted to share some of my observations on emerging trends. As cyber security serves as a fou...
Continuous processes around the development and deployment of applications are both impacted by -- and a benefit to -- the Internet of Things trend. To help better understand the relationship between DevOps and a plethora of new end-devices and data please welcome Gary Gruver, consultant, author and a former IT executive who has led many large-scale IT transformation projects, and John Jeremiah, Technology Evangelist at Hewlett Packard Enterprise (HPE), on Twitter at @j_jeremiah. The discussion is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
With all the incredible momentum behind the Internet of Things (IoT) industry, it is easy to forget that not a single CEO wakes up and wonders if “my IoT is broken.” What they wonder is if they are making the right decisions to do all they can to increase revenue, decrease costs, and improve customer experience – effectively the same challenges they have always had in growing their business. The exciting thing about the IoT industry is now these decisions can be better, faster, and smarter. Now all corporate assets – people, objects, and spaces – can share information about themselves and thei...
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible. In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true change and transformation possible.
Microservices are a very exciting architectural approach that many organizations are looking to as a way to accelerate innovation. Microservices promise to allow teams to move away from monolithic "ball of mud" systems, but the reality is that, in the vast majority of organizations, different projects and technologies will continue to be developed at different speeds. How to handle the dependencies between these disparate systems with different iteration cycles? Consider the "canoncial problem" in this scenario: microservice A (releases daily) depends on a couple of additions to backend B (re...