AppSphere 15 - Preparing for System Failure: How Pearson used AppDynamics to Drive Improved Student Experience

IHS experienced the raw power of AppDynamics upon their first installation by immediately gaining insight into their applications problems in production. With the help of AppDynamics, IHS was about to increase collaboration between the operations and development teams in an effort to fix performance issues. The various IHS teams were able to benefit from having tangible evidence and metrics to pinpoint the exact root cause for clearer communication on performance problems. In this talk, you'll learn how IHS: - Built a bridge between the operations and development workflows - Used custom dashboards for multiple teams throughout their organization - Reduced confusion across teams on performance root cause - Monitors multiple environments to filter potential problems early This deck was originally presented at AppSphere 2015.

AppDynamics Winter '16 (4.2) features new and enhanced APM, server, analytics, database, and EUM capabilities. Check it out!

As a language, Java remains a major player in enterprise applications, but new emerging trends around Java in recent years have been rather interesting because these trends no longer surround Java's core features. In addition, there have been interesting developments and overall movement towards cloud hybridization. In this session, we will review the new features in Java 8 in respect to performance monitoring. Then, we will deep-dive into new emerging trends surrounding Java enterprise applications, such as micro-service refactoring, cloud hybridization, and emerging frameworks/JVM-based languages and how you can leverage AppDynamics in order to gain further visibility into your application stack. Key Takeaways: -New Java 8 Developments -AppDynamics on Hybrid Cloud -Java 8 Memory Management -JVM-based languages and AppDynamics -Microservices Architecture and AppDynamics This session was originally presented at AppSphere 2015.

The document discusses the challenges of modern application monitoring and proposes a unified monitoring approach using AppDynamics. It notes that current monitoring tools often live in silos, lack context, and make it difficult to pinpoint the root cause of issues. A unified monitoring solution like AppDynamics breaks down these silos by providing a single view across infrastructure, applications and end users with situation-aware data and views. It aims to move organizations from reactive monitoring to more proactive approaches through intelligent anomaly detection, automatic runbook automation, and leveraging analytics to better understand patterns and trends.

Brandon Bichler, a Partner at London-based consulting firm Elixirr, will walk through what this new operating model looks like and provide some real examples of where it has been implemented and is working. Furthermore, he will outline what you can do to: - Sense check how healthy your company is in terms of the relationship between business and IT - Start to build out the components of this new operating model, factoring in the culture and organisational nuances of your company - Engage key stakeholders on this topic and secure their support for change This deck was originally presented at AppSphere 2015.

AutoTrader has many tools to help solve problems, but they didn’t quite have them all. Their tool-belt was exceptionally stocked, but they were just missing that one key tool to help them really excel at rooting out their issues: AppDynamics helped fill that gap. Many of AutoTrader’s systems were already being supported by competing products, but after giving the product a few weeks to prove itself, it became very clear that AppDynamics was able to provide new insight into systems that were missed by other tools. The product has helped AutoTrader in many ways including reducing time-to-resolution for outages, rooting out inefficient code, and optimizing their services. These optimizations have led to a better customer experience, easier troubleshooting for support, and increased stability across all their platforms. This deck was originally presented at AppsSphere 2015.

Blue Cross Blue Shield Association (BCBSA) provides health insurance to over 105 million Americans through its network of 36 separate health insurance companies. It has been operating for over 80 years and is accepted by over 90% of doctors in the US. BCBSA has been mining its large healthcare data warehouse to ensure a great consumer experience while addressing an exponential increase in demand for its web services. It implemented AppDynamics to help address issues with system performance, slow response times, and increased time to resolve issues that were impacting customer satisfaction. AppDynamics helped identify inefficiencies in code and queries that were improved to enhance performance and scale capabilities to support growing demand.

Team Beachbody is a leading consumer fitness brand. In order to attract and retain customers, it is critical to provide an outstanding customer experience. Just as Beachbody workouts help customers get into shape, Team Beachbody found that they needed to apply the same rigour to their own website and apps to shape the end-user experience for their customers. In this session, learn how AppDynamics helped Beachbody adopt a DevOps culture with incentives a governance plan, and easily consumable process to hammer and chisel their apps and organization into shape. Like before and after photos showing the success of their customers, see how the Beachbody DevOps journey led to improvements in Direct and Network Marketing, Beachbody LIVE, and On-Demand Digital delivery. This deck was originally shared at AppSphere 2015.

Philippe Bedard is the Vice President of SaaS Operations at Halogen Software, a publicly traded company that provides employee engagement and talent management software. Halogen delivers its software globally as a SaaS platform and supports millions of users through high-availability operations. To meet the challenges of delivering high-velocity software updates while maintaining a compliance-driven environment, Halogen implemented AppDynamics to gain visibility into application performance and help reduce troubleshooting times. With AppDynamics, Halogen improved development velocity, shortened mean time to resolution when issues arose, and better supported its market-leading customer experience.

Oceanwide started its AppDynamics journey three years ago and relies heavily on it for its investigations of critical issues. Its usage—a mix of proactive alerting and reactive usage—has allowed Oceanwide to reach high standards of availability. Striving to adopt a DevOps culture, the broader adoption of AppDynamics across the company is a key focus. In this session, we will discuss how to work with developers and QA staff in their adoption of AppDynamics as well as key initiatives that enable them to use the solution as a common language when interacting with the operations team. Key takeaways: o How to promote and nurture the adoption of AppDynamics in developer and QA scrums o Key elements of a successful DevOps cell built around AppDynamics o How to establish AppDynamics as the common language between development, QA, and operations For more information go to: www.appdynamics.com”

Learn how Gannett used AppDynamics to make performance data actionable so product and development teams could collaborate to resolve issues faster by knowing exactly what the impact is of a performance problem and where to look to resolve it with correlated server side snapshots and combined Real-User and Synthetic monitoring to provide: -Consistent/Repeatable data for more sensitive and faster alerting -Deeper diagnostic data -Very specific availability/functionality monitoring of critical user flows -Assertions on page content/behavior -Dynamic baselines for tighter and more realistic performance thresholds This deck was originally presented at AppSphere 2015

Travelport, a B2B Travel Commerce platform enterprise company, has many custom-built enterprise applications. Monitoring and the concept of Application Performance Management (APM) as a whole was not part of the company DNA. Late delivery and poor performing applications prompted Travelport to look more closely at the maturity of its development and monitoring practices and of existing solutions. The company took an ambitious effort to adopt a “new” unifying tool strategy combining APM and analytics, and overcome cultural barrier to bring development and monitoring teams close together. If you are an ecommerce enterprise with customer-facing and custom-built applications, join this session to get insights into: -Why we chose the road towards unified application monitoring strategy and overcoming common challenges most organizations wrestle with -Why log analytics weren't enough -Turning to AppDynamics Application Analytics to get real-time insights into business and performance data This deck was originally shared at AppSphere 2015.

Accenture’s internal IT organization powers a digital business that supports the company’s growth strategy. To operate globally and virtually requires pervasive technology to be applied differently, and more quickly than ever. With hundreds of applications and platforms underpinning operations, monitoring, managing, and improving performance of applications is important. To help Accenture deliver high-performing enterprise apps to support 370,000+ employees in 120 countries, it deployed AppDynamics. Accenture’s performance engineering team undertook innovative programs to drive adoption. Explore Accenture’s deployment and maintenance approach, means of accelerating adoption, and keys to transforming digital operations. Key takeaways: • How Accenture internally deploys AppDynamics across hundreds of unique applications and provides periodic updates • How Accenture drives performance monitoring from a top-down perspective and standardizes its operations mindset across critical applications • How Accenture enables more than 1,000 users to track application performance within AppDynamics For more information go to: www.appdynamics.com

This session will describe in detail why the World Bank chose AppDynamics for its Application Performance Management (APM) solution to align with its revamped enterprise monitoring strategy. The World Bank historically had many monitoring tools that were implemented in silos. Hear straight from this customer about the benefits of a consistent enterprise monitoring strategy in the wake of a tools consolidation. Key takeaways: o Benefits that the World Bank achieved by consolidating monitoring tools o Overall monitoring strategy and the value proposition AppDynamics allowed the World Bank to realize o Using AppDynamics every day for faster problem resolution and rapid service restoration For more information go to: www.appdynamics.com

This document discusses AppDynamics' capabilities for monitoring Docker containers: - AppDynamics provides unified monitoring of applications running in Docker containers, allowing visibility into both application and Docker metrics from a single interface. - An extension is available that collects Docker metrics using the Docker Remote API and displays them alongside application data in AppDynamics' dashboards. - A demo environment on GitHub contains an example of an application deployed in Docker containers that can be monitored end-to-end using AppDynamics.

Amazon Web Services pioneered cloud computing in 2008. Since then, we’ve learned a lot about what enterprises have done to meaningfully adopt the cloud to benefit their businesses. This session will present a pattern that has emerged, organizationally and architecturally, in enterprises who are using the cloud to meet their business objectives. With practical guidance, and insight into how AWS and our partners can help you deliver results, attendees will gain an actionable model for accelerating their organization’s success. Stephen Orban, Global Head of Enterprise Strategy, Amazon Web Services

1) IoT devices are becoming more common in enterprises and can impact business services and applications. 2) AppDynamics' vision is to provide an end-to-end solution to monitor all types of applications, devices, and connections from edge to cloud. 3) Problems with IoT devices and their data can originate from issues with the devices themselves or from the large volumes of data aggregated from many devices, as two customers discovered.

This document discusses a study on the challenges facing female engineering students in Ghana. It found that less than 30% of university enrollments in Ghana are female, and only 1.9% of engineering students are women. The study conducted surveys of female engineering students at Kwame Nkrumah University of Science and Technology to understand the challenges they face. It found that female students are in the minority in most engineering disciplines and come from fewer ethnic groups than male students. The female students reported that the best parts of engineering were learning new skills but the worst parts were a lack of encouragement from society and difficulty balancing studies and family responsibilities. The document concludes that engineering education needs reforms to be more inclusive and that public education is needed to

1) "HA" pairs are commonly used but are not the only way to achieve redundancy. They have limitations around catastrophic failures and lack of scale out. 2) Alternative patterns like distributed load balancing and brokerless messaging can provide redundancy without single points of failure and allow for scale out. 3) Service distribution is presented as a superior approach that combines standard networking technologies to provide resilient, stateless and scale out services for OpenStack.

Hugtakið hugbúnaðararkítektúr er yfirhlaðið orð og þýðir mismunandi hluti fyrir mismunandi fólk. Við ætlum í þessum fyrirlestri að skilgreina ýmis hugtök tengd arkítektúr til að fá betri skilning á þessu. Við munum einnig skilgreina hvað agile arkítektúr þýðir eða hvað það þýðir ekki. Þá skoðum við monolith arkítektúr sem er hinn hefðbundi arkítektúr sem flestir nota í dag. Vandinn er sá að í dag eru kröfurnar meiri en þessi arkítektúr ræður við og því hafa menn verið að skoða aðrar leiðir eins og lightweight Service Oriented Architecture og hvernig smíða má hugbúnað sem þjónustur eða microapps eða microservice. Við skoðum einnig lagskiptingu en það er elsta trikkið í bókinni og byggir á deila og drottna aðferðinni.

This document discusses data storage and management. It covers various data storage models like relational, document, key-value, and graph databases. It emphasizes that the most important factors are providing fast response times under all loads, and selecting a consistency model appropriate for the application's needs. New data storage technologies have made consistency more complex, so applications need to make their consistency rules explicit rather than relying on the storage engine. Data should be engineered to have good response time distributions and be agile, adaptable, and sustainable over the long term as applications and technologies change.