Get complete visibility into containers based application environment

Editor's Notes

• #4: The rate of innovation is determining who wins and loses
• #5: (Internal view) The transformation is well underway in every organization. This is a reality for every CIO and company we speak with. They’re all being asked to help drive this. In this new digital world, business are starting to understand that they can’t win with infrastructure alone. they need to manage that operational cost down in order to reinvest where they can win – by understanding and engaging users. Those users today demand the same great personal experiences they have on their smart phones, tablets, and PCs in every aspect of their lives – personal, business and everywhere in between. Some call this the Amazon effect. And it means that companies need to shift their focus from systems of record (operational and infrastructure systems) to systems of engagement (user focused systems). Building these new systems means companies must embrace new technologies and new, cutting-edge application environments. These new applications may be mobile or social enabled. They may be hosted in a cloud environment, behind a company’s firewall, through a managed service provider or any combination. And each transaction holds vast amount of untapped information that can be used further to create new products, new markets, and new sources of value.
• #6: Lloyds: “Do you know what our busiest bank branch is in the UK? It’s our mobile app on the 7.15am train to Paddington.” Tesco/grocery Dating – eHarmony/meetic Recruitment – LinkedIn/Glassdoor Online Travel – Expedia Airline check-in In car computers – when to service Smart electricity iTunes Streaming service vs. radio Facebook/iPhoto/picassa vs photo develop Online gaming GPS vs maps Scheduling delivery slots Toll booths – RFID vs coins TV on demand vs schedule
• #7: Each of the aforementioned companies are dealing with this new, increasingly complex reality.... In the early 2000s, application architectures were fairly simplistic consisting of a monolithic 3-tier architecture - with a user request resulting in a call to an application server and then a query to some backend database Over time, the application architectures and operating environments have grown in complexity. While these shifts have been good for application developer productivity and agility, they have made modern applications more difficult to manage. The shifts that have had the most impact on IT Operations & App Support teams include SOA: Service Oriented Architecture Cloud Capacity: Usage of Cloud Capacity from providers like Amazon EC2 and private clouds Big Data: Surge in data volumes popularizing Big Data and NoSQL technologies such as Hadoop, Cassandra and MongoDB Mobile: In addition, Businesses are looking at iOS and Android devices as new channels to market Agile: And to complicate things even further, more frequent code release cycles with the adoption of agile development [BUILD BUSINESS TRANSACTION IS THE ONLY CONSTANT] All of these technologies have created the perfect storm for operations and development trying to manage the performance and availability of their application due to the high rate of change these teams are facing. To add to this challenge, legacy monitoring approaches weren’t built to support these environments. Throughout this change and all future change. The only constant is the Business Transaction which is the main unit of measurement within AppDynamics
• #10: Challenges with Monolith: Intimidates developers with complexity Long ramp time Heavy change process Dev environments are difficult to manage and setup Scalability is a challenge due to rigid design Long term language and technology stack commitment Stagnation High cost Properties of MicroServices Architecture: Flexibility The services are easy to replace Services are organized around capabilities Services can be implemented using different programming languages, databases, hardware and software environment, depending on what fits best Architectures are symmetrical rather than hierarchical (producer - consumer) Example: Ecommerce Site Micro Services Front-end components Catalog services Inventory management Shipping Payments Billing Notifications Search agent User profile
• #25: Today’s monitoring: many silo-ed tools
• #26: Today’s monitoring is silo-ed. Different tools to monitor different application and infrastructure components. So, for example, if customer complains about “Checkout” transaction being slow, without any context and correlation, it will be difficult to confirm that any of the existing problems with JVM , database or network (reported by silo-ed tools) is the root cause of this specific problem with checkout transaction so that they address the problem.
• #27: One integrated platform built from the ground up to monitor all application infrastructure - end user, application, database & infrastructure: Completely unified solution: One consistent and intuitive UI, one datastore architecture, and one install Easy to extend to other components with extensions Supports components running on-premises and in the cloud
• #30: AppDynamics Summer ‘15 release offers deep visibility into Docker environment using the Docker extension. AppDynamics provides visibility into applications and business transactions made out of multiple smaller decoupled (micro) services deployed in a Docker environment using the Docker monitoring solution. The AppDynamics Docker Monitoring Extension monitors and reports on various metrics, such as: total number of containers, running containers, images, CPU usage, memory usage, network traffic, etc. The AppDynamics Docker monitoring extension gathers metrics from the Docker Remote API, either using Unix Socket or TCP giving you the choice for data collection protocol. The Docker metrics can now be correlated with the metrics from the applications running in the container. Customers can leverage all the core functionalities of AppDynamics (e.g. dynamic baselining, health rules, policies, actions, etc.) for all the Docker metrics while correlating them with the metrics already running in the Docker environment. The Docker monitoring extension also creates an out of the box custom dashboard with key Docker metrics as shown in the screenshot. This out of the box dashboard helps customer jump start the monitoring of Docker environment.
• #31: AppDynamics Summer ‘15 release offers deep visibility into Docker environment using the Docker extension. AppDynamics provides visibility into applications and business transactions made out of multiple smaller decoupled (micro) services deployed in a Docker environment using the Docker monitoring solution. The AppDynamics Docker Monitoring Extension monitors and reports on various metrics, such as: total number of containers, running containers, images, CPU usage, memory usage, network traffic, etc. The AppDynamics Docker monitoring extension gathers metrics from the Docker Remote API, either using Unix Socket or TCP giving you the choice for data collection protocol. The Docker metrics can now be correlated with the metrics from the applications running in the container. Customers can leverage all the core functionalities of AppDynamics (e.g. dynamic baselining, health rules, policies, actions, etc.) for all the Docker metrics while correlating them with the metrics already running in the Docker environment. The Docker monitoring extension also creates an out of the box custom dashboard with key Docker metrics as shown in the screenshot. This out of the box dashboard helps customer jump start the monitoring of Docker environment.
• #32: AppDynamics Summer ‘15 release offers deep visibility into Docker environment using the Docker extension. AppDynamics provides visibility into applications and business transactions made out of multiple smaller decoupled (micro) services deployed in a Docker environment using the Docker monitoring solution. The AppDynamics Docker Monitoring Extension monitors and reports on various metrics, such as: total number of containers, running containers, images, CPU usage, memory usage, network traffic, etc. The AppDynamics Docker monitoring extension gathers metrics from the Docker Remote API, either using Unix Socket or TCP giving you the choice for data collection protocol. The Docker metrics can now be correlated with the metrics from the applications running in the container. Customers can leverage all the core functionalities of AppDynamics (e.g. dynamic baselining, health rules, policies, actions, etc.) for all the Docker metrics while correlating them with the metrics already running in the Docker environment. The Docker monitoring extension also creates an out of the box custom dashboard with key Docker metrics as shown in the screenshot. This out of the box dashboard helps customer jump start the monitoring of Docker environment.