Welcome!

Java IoT Authors: Elizabeth White, Liz McMillan, Yeshim Deniz, Zakia Bouachraoui, Pat Romanski

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 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.

IoT & Smart Cities Stories
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
SYS-CON Events announced today that IoT Global Network has been named “Media Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. The IoT Global Network is a platform where you can connect with industry experts and network across the IoT community to build the successful IoT business of the future.
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
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...
Disruption, Innovation, Artificial Intelligence and Machine Learning, Leadership and Management hear these words all day every day... lofty goals but how do we make it real? Add to that, that simply put, people don't like change. But what if we could implement and utilize these enterprise tools in a fast and "Non-Disruptive" way, enabling us to glean insights about our business, identify and reduce exposure, risk and liability, and secure business continuity?
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
DXWorldEXPO LLC announced today that Telecom Reseller has been named "Media Sponsor" of CloudEXPO | DXWorldEXPO 2018 New York, which will take place on November 11-13, 2018 in New York City, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...