Future Proof Docker and Microservices with Modern Monitoring

With this increased reliance on applications, it’s more important than ever that IT organizations monitor and manage the end-user application experience across physical, virtual, web, mobile, wearables, cloud, containers, mainframe, user journey, behavior, and funnel. However, the ability to predict, identify, diagnose, and fix application issues is difficult, especially in today’s modern app environments that are complex, noisy, and dynamically changing. For organizations seeking to improve customer experience, reduce application issues, and gain insights into user behavior, using analytics and machine learning becomes a critical capability for any APM solution. As a result, modern APM solutions have evolved to include AIOps platforms that correlate and analyze data across users, applications, infrastructure, and network services apply machine learning, advanced analytics, and automation to deliver a new level of visibility with automated actionable intelligence. Attend this session to learn more about the exciting innovations delivered in DX APM 11.

Microservices, as the name implies, break up applications into many small pieces. Teaming microservices with DevOps is considered the new path to rapidly bring business value to software applications, and Docker is the primary containerization technology that can make microservices a reality.

Speed has a price, however. Breaking up applications introduces new types of issues that traditional architectures do not need to deal with.

Join this web seminar to learn about five ways to tame the container chaos.

You will learn:
How analytics can be used to guide design decisions and identify practices that correlate to the higher levels of performance
Where, when, and how to enrich performance monitoring with detailed instrumentation and the value of additional metrics in cloud environments
How to extend support with synthetics to monitor the APIs that are key to driving communication between microservices
How increases in components, dependencies, and communication flows necessitate the need for automatic mapping and maintaining telemetry data
How to apply established configuration management techniques to containers using automation to preserve velocity

Containers are engineered to support the need for continuous application changes. As self-contained artifacts, they accelerate the benefits of immutability, scalability, and portability. But there’s no such thing as a free lunch, and the ephemeral nature of containerized apps challenges teams to understand how a “now you see it, now you don’t” system impacts overall application performance.

New techniques are required to manage containerized changes in the context of the highly dynamic state in which they operate.

You will learn:

How small changes in code, apps, and architecture can remain undetected in containers but cumulatively build to cause severe problems
The application of multidimensional analysis to track container changes across time in order to pinpoint the impact on performance
Methods to increase the supportability and resilience of containerized applications within and across the continuous delivery pipeline

During this SDxCentral.com webinar, you’ll learn how CA delivers a single and scalable operations experience with easy OOTB dashboards for NOC personnel to correlate network health with faults and events for modern technologies like Cisco ACI, SD-WAN, vCPE to traditional SNMP performance, flow and traffic analysis and TCP/Application transport analysis… in one unified platform.

Containers are being widely adopted across DevOps teams to speed the development and deployment of applications but sometimes at the cost application performance and the user experience. As these new modern architectures are deployed, teams struggle to understand how best to gain performance and user insights due into these highly ephemeral environments. Traditional monitoring techniques are challenged and require a new approach. Download this webcast to learn more about essentials of monitoring containerized application environments.

Application performance monitoring used to occur in splendid isolation – app support teams monitoring monolithic production systems. As such, heavy instrumentation and lengthy configurations was an acceptable price to pay for ensuring availability across applications that rarely changed. But now cross-functional DevOps teams require flexibility and faster time-to-value, with monitoring flexing to support a variety of deployment models and use-cases.

Watch this on-demand webcast where we explore the modern monitoring methods needed to support a variety of container projects and deployment patterns – from small development projects to more complex container and orchestration platforms.

Containers speed development, but the applications they support can exponentially increase the number of alerts and system checks. Asynchronous messaging, more dependencies and API/network centricity all conspire to overload application support teams. Furthermore, old monolithic architectures where failure conditions were known and predictable, now give way to a more complex set of conditions involving more moving parts – making manual root cause determination like trying to ‘find a needle in a haystack of needles’.

View this on-demand webcast to learn more about the impact of containers on development and support teams and the strategies needed to prevent alert fatigue and burnout. Topics for discussion include:
-Why traditional and manual alerting methods no longer scale in container environments and the detrimental impact on teams and growth
-The application of adaptive baselining and proven statistical models to help prevent false positives and detect hidden container performance anomalies
-The use of advanced analytics to collect, ingest and correlate multiple conditions to a single root-cause.
-How production container analytics can be used to guide design decisions and identify practices that correlate to higher levels of performance

Containers are engineered to support the need for continuous application changes. As self-contained artifacts, they accelerate the benefits of immutability, where full systems are disposable and can be quickly reconstructed – meaning no patching and configuration drift. But there’s no free-lunch and the ephemeral nature of containerized apps challenges teams to understand how a “now you see it, now you don’t” system impacts overall application performance.
New techniques are required to manage containerized changes in context of the highly dynamic state in which they operate. View this on-demand webcast to learn:
-How small changes in containers (in code, apps and architecture) can remain undetected, but cumulatively build to cause severe problems
-The application of multi-dimensional analysis to track container changes across time to pinpoint the impact on performance
-Methods to increase the supportability and resilience of containerized applications within and across the continuous delivery pipeline

You spend countless hours developing and nurturing your code before sending it out into the real world. But once the world gets its hands on your app, anything can happen.

In this webinar we'll cover how mobile developers can see what their code is doing in production, how users are interacting with your app and how to tell which features you'll want to focus on and perhaps which ones you'll want to drop for your app all together. Join this webinar to learn how you can:
- Improve the next version of your app based on real-user insights
- Leverage analytic visualizations to improve app flow and design
- “Peek over the shoulder” of your users to see how they’re interacting with your app
- Gain code-level visibility into app crashes across platforms
- Compare KPIs from your latest app release to previous versions

Accelerating your digital transformation will often add new challenges to an already complex IT environment. Cloud, microservices, containers and IoT are just the start, and require flexible, modern approaches that put customer experience first and are built to be future-proof. CA Application Performance Management (CA APM) is engineered to address the challenge of improving performance across these dynamic application environments.

In this webcast, we will discuss the top five reasons why you should consider CA Application Performance Management to help optimize your customer experience and performance across digital ecosystems.

Providing a great digital experience is critical for your brand, but the complexity of monitoring modern apps presents a challenge. When you combine a mix of mobile and Web applications, containers and microservices in distributed environments, identifying when and why your customers are having a poor app experience is often difficult.

Join us for this webinar where Bryan Whitmarsh, Director, Product Management at CA Technologies will demonstrate how you can achieve a 5-star app experience for your customers. See how CA App Experience Analytics leverages a powerful, open source analytics platform to provide user experience insights and deep visibility into performance across apps and channels.

Containers and microservice architectures simplify the development process, provide environmental consistency and speed updates; however, there are operational trade-offs. The ephemeral nature combined with API-centric communications results in a massive increase in objects, dependencies and metrics – challenging traditional monitoring approaches, including: topology mapping, instrumentation, and static baselining and alerting. New monitoring techniques and approaches are now needed to gain visibility and control over these dynamic platforms across the application lifecycle.

View this webcast to learn:

• What new monitoring, analytics and alerting techniques are best suited for containers.

• Why an open data model is key to understanding and tracking microservice dependencies.

• How to establish monitoring across the entire application lifecycle to increase development speed and quality.

In this golden age of software applications, delivering a great customer experience at scale is a business differentiator. Microservices platforms, containers and cloud-native applications promise faster time-to-market but introduce unparalleled complexity. Added value can quickly be eroded by failing to understand and manage your application performance across environments that are in a constant state of change.

Join us for this special webcast, where guest speaker Dean Davison, Principal Consultant, Forrester Research will discuss findings from the recent Total Economic ImpactTM (TEI) of CA Application Performance Management (APM) that can assist businesses evaluating this solution – including the potential to realize: $5.4 Million NPV, 316% ROI and payback in 3 months.

Joining Dean, Pete Waterhouse, Advisor, CA Technologies will outline the essential elements of a modern APM solution needed to deliver these outcomes.

Containerized applications and microservices challenge existing monitoring tools and processes. The ephemeral nature of containers presents massive tracking issues and the massive increase in objects, service and metrics makes traditional alerting obsolete.

In this webcast, you will learn:
• The benefits of using an agentless application monitoring approach in Docker environments
• How an open data model is key to understanding and tracking microservice relationships and dependencies
• The importance of analytics-driven monitoring to help detect anomalies, predict problems and prevent alert storms

The collection of performance, usage, and error/crash data is a critical first step in building an application or infrastructure based analytics engine. Once collected, the normalization of this data into a proficient repository, that makes the data available to be analyzed, becomes the foundation of your Analytics initiatives.
In this interactive webcast, experts from CA Technologies will facilitate some key topics related to using the ELK stack as a basis for their Analytics engine, sharing their lessons learned and best practices. The ELK stack is a set of products (Elasticsearch, Logstash, and Kibana) provided by Elastic used to log, store, and visualize both structured and unstructured data. We’ll answer these questions, and more in this webcast:
•Why leverage the ELK Stack as part of your analytics strategy?
•Lessons learned in running Elasticsearch at scale (Master Nodes + Client Nodes + Hot Nodes + Warm Nodes)
•How to best support multi-tenant SaaS solutions with ELK
•Elasticsearch is just one component of a Lambda Architecture, what else can/should be used?
•How you can leverage CA’s new Agile Ops analytics platform to predict performance anomalies, end alert storms and false positives and leverage machine learning for faster root cause analysis.

Modern application technologies make it possible to provide a better user experience than ever before. With elevated end-user expectations, the difference between success and failure is an organization's ability to efficiently harness the power of complex application architectures to meet customers demands. An application performance management solution that sees through the data deluge to answer critical questions is more important today than ever before.

In this webcast, we will explore:
-Application performance management's role in modern IT organizations
-CA Application Performance Management's role in providing stellar end-user experience
-New innovations within CA Application Performance Management

Over the past 20+ years, IT has mastered the art of collecting performance and user data. But to succeed in today’s application economy, you need to learn how to take this information and evolve into a data-driven business. Your success hinges on ensuring that every customer experience is the best it can be, and that means gaining insight across the vast complexity of your mobile, web and application environments. In this session, learn how analytics can sort the wheat from the chaff in your performance data to highlight key business insights that will separate you from your competitors and gain you a seat in the boardroom.

The new CA Application Performance Management (CA APM) Jenkins plugin helps organizations to leverage CA APM in the pre-production environment by integrating with Jenkins, one of the most popular continuous integration tools. With this plugin, the critical pre-production test data can now be seamlessly brought into Jenkins and presented in a unified cross-build or per build dashboard. It enables the users to configure build pass or fail conditions and automate the decision making process without any manual intervention. Watch this webinar to learn more and see the demo.

Microservices, Cloud Foundry and Dockerized applications are adding a new layer of complexity to an already complex application environment. When application issues arise, it becomes difficult to pinpoint the source and, too often, you find yourself in lengthy war rooms or assigning experts to triage every issue. As a result, brand loyalty, customer satisfaction and innovation are negatively impacted. The old approach to application performance management just isn’t working. A new approach is needed. In this session you will learn how to monitor these new modern applications to ensure the customer experience. We’ll also demo CA APM in action monitoring a Dockerized application.

Speakers:
-Nishant Kabra – Principal Product Manager, CA Technologies
-Guenter Grossberger – Sr. Engineering Services Architect, CA Technologies