Welcome!

SOA & WOA Authors: Carmen Gonzalez, Pat Romanski, Elizabeth White, Victoria Livschitz, Larry Dragich

Blog Feed Post

AppDynamics Brings Big Data Science to APM in Summer ’14 Release

image_pdfimage_print

Today I am pleased to announce the availability of the AppDynamics Summer ‘14 Release.  With this release, AppDynamics brings the first event store to capture and process big data streams in real-time to the APM industry.  Large and complex applications generate data at an extremely high velocity, requiring a monitoring platform to scale along with them. Many business critical applications and operational insights are hidden in the data generated by these applications. This unified platform delivers a central, massively scalable platform to manage all tiers of the application infrastructure.

This release has major enhancements for each of the three layers of the Application Intelligence platform:

Clear, meaningful data visualization

AppDynamics was the first to market with transaction-based topology views of applications that make managing and scaling service oriented architectures easier than ever.  In our latest release, we’ve raised the bar again by offering clear, meaningful data visualization powered by self-learning algorithms for today’s leading enterprise companies.

Advanced flow map visualizations

Self-aggregating flow maps

AppDynamics introduces advanced flow maps that are powered by sophisticated algorithms to make complex architectures more manageable by condensing and de-condensing information to enable intelligent zooming in and out of the topology. These visualization techniques also deliver the right level of granularity of application health indicators and traffic reports to match the zoom level.

Screen Shot 2014-08-13 at 11.13.47 AM

Self-organizing layouts

In the Summer ‘14 release, the dashboards self-organize complex graphs of service and tier dependencies by using auto-grouping heuristics to dynamically determine tier and node weightages. These auto-grouping heuristics rely on dynamic patterns detected across static data such as application tier profiles and dynamic KPIs such as transaction response times, business data complexity, etc.  These algorithms then surface up the business-critical nodes and tiers to application owners and administrators for appropriate attention.

Screen Shot 2014-08-13 at 11.13.58 AM

Self-learning transaction engine

Application owners can benefit greatly if they are armed with smart engines that automatically identify and group these transactions taking away the guesswork out of the exercise. This is based on a combination of historical as well as statistical analysis of large volumes of live execution data.  AppDynamics uniquely does live traffic introspection and creates groupings of business transactions from millions of requests of live traffic to improve business manageability.

Screen Shot 2014-08-13 at 11.14.23 AM

Smart dashboards

Managing and monitoring large deployments with thousands of nodes and tiers can be overwhelming for the APM professional. Creating a separate dashboard for each of the thousand nodes and tiers individually is a near impossible task. In this release, AppDynamics introduces powerful dashboarding templates that auto-generate dashboards based on configurable parameterized characteristics of the nodes or tiers. This new feature enhances monitoring productivity by making the dashboards reusable for all nodes without having to replicate efforts.

Screen Shot 2014-08-13 at 11.25.48 AM

 

Platform to capture and process Big Data streams in real-time

Screen Shot 2014-08-13 at 11.14.48 AM

A new infinitely scalable event service that captures real-time events generated by an application. With this event service, organizations can flexibly define structured and unstructured events, and start capturing them with a public API. This infinitely scalable service has been certified for up to 10 trillion events. Archives of these events can be captured forever, and can be used for historical analyses as well.

A new Hadoop-powered metrics service that crunches massive volumes of time-series data to deliver key application and business metrics in real-time. With its new enhancements, organizations can easily roll-up metrics at the tier levels, application levels, or time-series levels with no loss in granularity of the information. Leveraging the new complex algorithms that can crunch billions of metrics, this metrics service generates self-learning baselines that are refreshed reflecting the up to the minute application and business performance.

We’ve also improved our real-time percentile metrics capabilities that put application and business performance in context. Metrics without a statistical context often don’t reveal the real picture. SLA metrics are more meaningful when presented with the context of percentiles, and when the outliers are automatically identified and surfaced up with alerts for immediate attention or automated remediation.  The percentile functionality in AppDynamics is now configurable, allowing teams to define what percentiles they want to be collected.

Screen Shot 2014-08-13 at 11.15.00 AM

This unified platform delivers a central, linearly scalable platform to manage all tiers of their application infrastructure. Through a single pane of glass, IT organizations can break down application tier silos and monitor their business with comprehensive end-to-end visibility. This unified platform lowers the total cost of ownership of their application infrastructure while lowering their time to issue resolution.

Industry’s most comprehensive monitoring and data collection offering

The AppDynamics Summer ‘14 Release includes several new and enhanced features related to data collection and monitoring, including distributed transaction correlation among all of the languages we support.

Screen Shot 2014-08-13 at 11.19.11 AM

With the industry’s first Node.js distributed transaction monitoring users can now monitor distributed Node.js transactions across all application tiers including Java, .NET and PHP. Node.js can automatically correlate downstream calls to quickly and efficiently isolate and troubleshoot performance bottlenecks.

Screen Shot 2014-08-13 at 11.15.17 AM

AppDynamics adds support for instrumenting native C++ applications with the beta release of the AppDynamics C++ SDK, which provides visibility into C++ applications and tiers. We’ve also added support for Java 8, which makes it easier for businesses to deploy and integrate AppDynamics into the latest generation of Java and Scala applications.

Finally, we’ve announced support for monitoring .NET asynchronous transactions. AppDynamics gives customers the ability to automatically identify asynchronous transactions in dashboards, troubleshoot asynchronous calls in transaction snapshots and analyze async activity in the metric browser.

Screen Shot 2014-08-13 at 11.15.26 AM

If you’d like to try these new capabilities out for yourself, start your free trial of AppDynamics today.

 

The post AppDynamics Brings Big Data Science to APM in Summer ’14 Release written by appeared first on Application Performance Monitoring Blog from AppDynamics.

Read the original blog entry...

More Stories By Sandi Mappic

Sandi Mappic has a passion for making apps go faster. She works with AppDynamics around the clock to help customers resolve performance pain and master application performance management. (This is AppDynamics blog feed written by several different AppDynamics bloggers.)

@ThingsExpo Stories
The 3rd International Internet of @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that its Call for Papers is now open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have s...
The security devil is always in the details of the attack: the ones you've endured, the ones you prepare yourself to fend off, and the ones that, you fear, will catch you completely unaware and defenseless. The Internet of Things (IoT) is nothing if not an endless proliferation of details. It's the vision of a world in which continuous Internet connectivity and addressability is embedded into a growing range of human artifacts, into the natural world, and even into our smartphones, appliances, and physical persons. In the IoT vision, every new "thing" - sensor, actuator, data source, data con...
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, discussed how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money!
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges. In his session at @ThingsExpo, Jeff Kaplan, Managing Director of THINKstrategies, will examine why IT must finally fulfill its role in support of its SBUs or face a new round of...
One of the biggest challenges when developing connected devices is identifying user value and delivering it through successful user experiences. In his session at Internet of @ThingsExpo, Mike Kuniavsky, Principal Scientist, Innovation Services at PARC, described an IoT-specific approach to user experience design that combines approaches from interaction design, industrial design and service design to create experiences that go beyond simple connected gadgets to create lasting, multi-device experiences grounded in people's real needs and desires.
Enthusiasm for the Internet of Things has reached an all-time high. In 2013 alone, venture capitalists spent more than $1 billion dollars investing in the IoT space. With "smart" appliances and devices, IoT covers wearable smart devices, cloud services to hardware companies. Nest, a Google company, detects temperatures inside homes and automatically adjusts it by tracking its user's habit. These technologies are quickly developing and with it come challenges such as bridging infrastructure gaps, abiding by privacy concerns and making the concept a reality. These challenges can't be addressed w...
The Domain Name Service (DNS) is one of the most important components in networking infrastructure, enabling users and services to access applications by translating URLs (names) into IP addresses (numbers). Because every icon and URL and all embedded content on a website requires a DNS lookup loading complex sites necessitates hundreds of DNS queries. In addition, as more internet-enabled ‘Things' get connected, people will rely on DNS to name and find their fridges, toasters and toilets. According to a recent IDG Research Services Survey this rate of traffic will only grow. What's driving t...
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at @ThingsExpo, Robin Raymond, Chief Architect at Hookflash, will walk through the shifting landscape of traditional telephone and voice services ...
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at Internet of @ThingsExpo, James Kirkland, Chief Architect for the Internet of Things and Intelligent Systems at Red Hat, described how to revolutioniz...
Bit6 today issued a challenge to the technology community implementing Web Real Time Communication (WebRTC). To leap beyond WebRTC’s significant limitations and fully leverage its underlying value to accelerate innovation, application developers need to consider the entire communications ecosystem.
The definition of IoT is not new, in fact it’s been around for over a decade. What has changed is the public's awareness that the technology we use on a daily basis has caught up on the vision of an always on, always connected world. If you look into the details of what comprises the IoT, you’ll see that it includes everything from cloud computing, Big Data analytics, “Things,” Web communication, applications, network, storage, etc. It is essentially including everything connected online from hardware to software, or as we like to say, it’s an Internet of many different things. The difference ...
Cloud Expo 2014 TV commercials will feature @ThingsExpo, which was launched in June, 2014 at New York City's Javits Center as the largest 'Internet of Things' event in the world.