What’s new in the Summer ‘14 release for PHP & Node.js Developers

As part of AppDynamics’ Summer ‘14 release, we announced the general availability of our Node.js application performance management product module.  What does this news mean for Node.js developers?  Let’s take a closer look at how our best in class feature set enables developers to deliver better performing, higher quality Node.js apps regardless of framework.

Distributed transaction tracing for Node.js

Distributed transaction tracing allows customers to trace a transaction across a heterogeneous application environment.

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Whether you use PHP, Node.js, Java, or .Net you can drill-down into distributed application calls and get the visibility you need to find the root cause.

Process wide-snapshots for Node.js

Process wide snapshots give developers call graph visibility of all executing functions within the Node.js process that executed to understand exactly what is happening when debugging problems.

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Quickly hone in on the functions that are blocking the event loop and maxing out CPU in your Node.js applications.

Database / NoSQL visibility for Node.js

Developers can now correlate database performance to originating Node.js server business transaction performance metrics.

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View how database performance correlates to application performance in real-time to understand the root-cause of application performance issues.

Data collectors for PHP

AppDynamics has added support for data collectors in PHP to capture useful data from HTTP requests and cookie data.  This makes it really easy to query all transactions for a specific user.

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With data collectors for PHP developers can track and correlate data from user interactions to get a more complete picture of the applications and it’s users.  Understanding how users interact with the application gives developers the information they need to prioritize development efforts.

Real-time business metrics for PHP

AppDynamics has added support for real-time business metrics in PHP.  This allows developers to quickly configure and view important business metrics in real-time like how revenue correlates with different application events like code release.

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By automatically correlating application performance metrics with business metrics with no code changes required, developers get visibility into how the releases they work on positively affect the business.

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Test drive these new features yourself by signing up for a free trial today.

What’s new in the Summer ‘14 release for Java & .NET Developers

As part of AppDynamics’ Summer ‘14 release, we added support for a plethora of new features in the Java & .NET product modules.  What does this news mean for Java & .Net developers?  Let’s take a closer look at how our best in class feature set enables developers to deliver better performing, higher quality apps.

Machine snapshots for .NET

This industry-first feature allows .NET developers to drill into the physical health of a machine that hosts a .NET application. Correlate application performance to exactly what was happening on the server at the time of the incident.

View health metrics like CPU and memory consumption per process on the machine:

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Monitor the state of IIS app pools queues:

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Correlate physical machine health with business transaction performance using snapshots:

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For developers, understanding exactly what occurred on the machine when a particular exception or error was thrown, and automatically correlating this data with performance metrics is invaluable information for finding and fixing bugs and production issues.

CLR crashes for .NET

In another industry-first offering for .NET developers, AppDynamics now automatically detects and tracks CLR crashes in IIS and provides crash details to find the root-cause of .NET application crashes even faster than before.

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With deep-dive visibility into CLR crashes, .NET developers now have another datapoint they can analyze in real-time while investigating the root-cause of application crashes and performance bottlenecks.

Service endpoints for .NET

Service endpoints are all about providing flexibility in how they visualize different services within the UI.  By allowing users to create a business transaction for any service, .NET developers can now create a custom endpoint that they are particularly interested in.  This is most helpful in large, complex environments that are common within our enterprise customers.  A development team may only work on a particular part of the larger application that only deals with one or two services.  By allowing dev teams to create a business transaction for just those services, they can get granular visibility into how their part of the app is performing.

Step 1: Choose a tier and add a rule:

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Step 2: Select entry point type:

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Step 3: Define the service endpoint and create the definition:

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Service endpoints give developers the flexible view they need to track the granular metrics for the services they care about most.

Object instance tracking

AppDynamics now has object instance tracking support for .NET so customers can profile memory utilization of .NET objects.

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This in-depth memory profiling allows developers to find and fix memory leaks to help prevent .NET instances from crashing.

With added support for Java 8 and WebSockets, AppDynamics has extended support for our industry-leading Java application performance management product module.

Java 8 support

With this release we’ve increased compatibility with the latest generation of Java & Scala tools and frameworks.  By providing support for Java 8, AppDynamics now supports new features like lambda expressions and parallel operations.

WebSockets

AppDynamics has added support for WebSockets, providing new visibility into long-lived bi-directional WebSockets transactions.  WebSockets are oftentimes used in critical trading, messaging, and social media platforms and other applications that rely on real-time communication.

Test drive these new features yourself by signing up for a free trial today.

What’s new in the Summer ‘14 release for the Ops Team

AppDynamics recently announced our summer release that builds upon our history of delivering game changing functionality and innovations in application performance management.  In our latest version, we’ve added many features that cater to operations-focused professionals, let’s take a closer look at some of those features.

Percentile metrics

AppDynamics has always had robust behavior learning capabilities that automatically baseline the metrics that we collect.  Instead of having to tell our platform what’s normal behavior, AppDynamics continually collects data and adjusts the dynamic baselines in real-time.  Percentile metrics give customers the added ability to analyze metrics based on percentiles like 90%, 95%, or 99% to get a better understanding of the distribution of metrics.  Basically, it allows operations teams to exclude outlier data to get a better understanding of what ‘normal’ application behavior is. You’re in full control with the ability to set 5 different percentile levels across the entire application or even down to the individual transaction level.

Configure percentile metrics and easily apply to specific business transactions or all existing business transactions:

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This feature allows operations teams to improve problem detection with fewer false positives for long-tail distribution profiles.  Having to dig through less noise to find the problems that matter is always a good thing.

Smart dashboards

Building meaningful dashboards takes time and effort. AppDynamics has added dashboard template functionality that allows you to build once and deploy as many times as needed to new applications without any configuration changes. Just build a new dashboard and associate it to the proper application(s) or component(s). It’s that easy.

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Business transaction discovery tools

AppDynamics has always automatically discovered business transactions out of the box for customers.  This capability has saved our enterprise customers countless hours defining and configuring dozens or even hundreds of different business transactions.  However, sometimes customers have unusual circumstances that require some configuration rules for getting their business transactions defined to align with their unique business needs. Well, we’ve created another time saving feature that allows AppDynamics administrators to model business transaction configurations in real time and only commit the configuration when you’re getting the exact results you intended.

This feature is purely intended to make life as easy as possible for the operations staff that manages AppDynamics. It’s another improvement that further reduces total cost of ownership ensuring AppDynamics offers the best possible ROI.

Step 1: Pick a node

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Step 2: Edit Discovery Configuration

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Step 3: Wait for load (real-time) & validate results

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Step 4: Apply config

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Windows Machine snapshots

Oftentimes operations teams can narrow the root-cause of application issues to the infrastructure, but can’t automatically correlate performance of the machine back to the application issue.  This results in manual correlation efforts that increase the amount of time needed to isolate and fix these types of issues.  AppDynamics now has a feature called machine snapshots that enables operations teams to get visibility into the status of machine resources and associate that with application health.

This feature has been released first for .NET. Let’s face it, it’s rare to have features released for .NET applications before Java apps get the feature but we thought it was about time to even the score a bit. Java folks, you’ll have to wait a little while longer for this feature.

View health metrics like CPU and memory consumption per process on the machine:

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Monitor the state of IIS app pools queues:

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Correlate physical machine health with business transaction performance using snapshots:

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.NET: Object Instance Tracking

Memory leaks happen. When they happen in production it’s operations responsibility to assist the development team with collecting the data that leads to the fix. Object Instance Tracking from AppDynamics adds this critical capability to it’s ever growing arsenal of .NET monitoring and troubleshooting capabilities.

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.NET: CLR Crash alerts and information for IIS Server

When CLR’s crash it is the job of the operations team to know that it happened and to figure out why. AppDynamics now has the ability to alert on your CLR crashes and automatically pulls the details from the windows event viewer so that you don’t even have to login to the Windows server to see what went wrong. This is another time saving feature that is ideal for operations teams that support .NET applications.

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EUEM resource timing waterfall view

Today, many operations teams have difficulty understanding how long load times for static resources impact the end user experience.  For example, your team might wonder how a social media widget, banner ad, or a set of images impacts the web application’s response time from the end user perspective.  AppDynamics now provides support for resource timing for web applications that provides the details you need to understand why end users are experiencing sub-optimal performance.

View resource timing details by type, domains requested, and waterfall breakdown:

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By gaining visibility into how static resources are performing, operations teams can quickly identify performance issues affecting end users and enforce SLAs with 3rd parties.

EUEM Analyze

Customers want to combine multiple metrics to drive the best insights into end user experience. The traditional hierarchical metric model doesn’t scale too the exponential number of possible combinations customers might want. Thanks to the new analytics platform the EUEM team has created a new page called Analyze that will allow customers to perform a multi-faceted search on their end user data, uncovering answers to questions like “how was End User Experience for a specific page, in California, using the IE browser?”

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Mobile EUEM: Unique Crash Dashboard and Reports

Crashes on mobile applications aren’t usually unique. Now customers can see how many crashes of a particular type have occurred and how many users where impacted allowing them to better prioritize and focus their work. We also provide supporting details like typical environments and stack traces for each.

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EUEM on-premise

AppDynamics has always had secure data transmission and storage protocols, however some enterprise customers have company policies that prevent them from utilizing our hosted EUEM cloud.  Now, customers can host their own AppDynamics EUEM cloud on-premise so they can take advantage of our granular end user experience metrics and snapshots.

C/C++, Analytics, and Database monitoring beta programs

The last major point to make in this announcement is the fact that we have also released 3 new major feature sets into beta.

C/C++(beta):

  • SDK: The AppDynamics C/C++ SDK provides an industry standard compile and deploy monitoring solution. Use the AppDynamics SDK if you have access to source code and you are willing to modify and recompile it to include C++ Agent SDK.
  • Dynamic Agent: The C/C++ Dynamic Agent is an industry-leading monitoring solution that extends AppDynamics breadth of monitoring capability to all those C/C++ applications. It requires no modifications to your proprietary applications and enables monitoring of third party libraries for which you might not have access to the source-code.

Analytics (beta):

Our Analytics module is layered upon the underlying data collection capabilities of AppDynamics. In this beta release of analytics we have done major architecture and feature work culminating in the ability to search and analyze business data collected in real-time from Java applications as well as from logs. The key to this rich analytics capability lies in our new horizontally scalable events service that will power exciting new analytics & search use cases for EUEM, APM and database monitoring in our upcoming releases.

Our new infinitely scalable event service is major part of our new Platform architecture. It is built on ElasticSearch and Kafka and will become the core foundation of event storage, processing and analytics for all our products. It went live in 3.9 with the EUEM, database monitoring and Analytics modules already using the new event service data platform. When we say that AppDynamics is an Application Intelligence Platform we mean business.

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Fully integrated database monitoring (beta):

The same UI, the same Installer, and the same Intelligence Platform as the rest of AppDynamics product ecosystem available for both SaaS and On-premise.

Our new fully integrated database monitoring (beta) product brings a whole new level of database information into the familiar AppDynamics UI. It’s fast, scalable, and 100% SaaS-ready. The new architecture allows us to build a very tight integration between APM and database monitoring, bridging the gaps between DBA, dev, and ops. Database monitoring now gains the added benefit of our behavioral learning engine, automatically creating baselines of “normal” behavior to compare current data against. It’s a major step forward for the database monitoring world.

Detailed query analysis:

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Main database dashboard:

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Top queries analysis:

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To try these features out today, sign up for a free trial here.

What’s new in the Summer 2014 release for the Exec Team

As part of our recent release announcement, AppDynamics has improved the functionality for application owners that are concerned with the high-level impact of performance on the applications they oversee.  In this blog we’ll take a look at some exciting functionality of the Application Intelligence platform that delivers value for application owners.

Application analytics (beta)

With the announcement of our application analytics beta program, customers now receive unprecedented visibility into the business data that is contained inside business transactions and log files.  Go deeper than simply monitoring performance. Explore the details of each and every transaction including user experience, operational metrics, and correlate that with business data associated with that particular business transaction.  Best of all, there is no administration overhead because there are no changes to application code or infrastructure necessary.

View revenue figures in real-time so you can be notified the moment something abnormal happens.

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Understand the customer journey so you can optimize your business.

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If you are interested in signing up for the Application analytics beta program, click here.  You can also sign up for a free trial of the platform here.

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 individual node and tier that allows them to monitor them individually is a near impossible task.

In this release AppDynamics introduces a powerful dashboard templating engine that auto-generate dashboards based on predefined characteristics of the nodes or tiers. This feature enhances monitoring productivity by making dashboards reusable without having to manually create individual dashboards for each node.

Create & associate dashboards with tiers / nodes once…

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… and use across any tier / node in your environment

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Real-time business metrics

Today’s leaders are tasked with making decisions on business data that is typically batch processed and often days, sometimes even weeks old.  Not having real-time visibility into the business affects application owners’ ability to make data-driven decisions.

AppDynamics allows customers to collect business metrics from your applications in real-time.  Metrics such as revenue, orders, deposits, signups, etc. can be easily extracted from production applications and displayed in real-time in an easy to digest way.

View operational metrics correlated automatically with business metrics like revenue to see how application performance affects the business.

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Test drive these new features yourself by signing up for a free trial today.

 

 

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

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.

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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.

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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.

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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.

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

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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.

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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.

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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.

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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.

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For a detailed look at these advancements, check out our webinar recording.

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