AppSphere 15 - What's New in Java: Leveraging Java in Hybrid Cloud

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.

The Container Store uses AppDynamics in their development lifecycle to gain visibility into their test environments and applications, set performance expectations before production deployments, and decrease performance test result reporting times. Some benefits included being able to identify testing requirements and gaps, fine tune alert policies prior to production, and getting results in 20 minutes instead of 5 hours. The presentation provided best practices around continuous monitoring, testing, and collaboration between development, operations, and business teams.

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

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.

The document summarizes the 2015 Automation Hero Awards held by Automic World in Scottsdale, AZ. 24 candidates from around the world submitted examples of how they used Automic in innovative ways to accomplish automation feats across various industries. Community members voted on the submissions. The top 3 winners were: 3rd place went to Nir Cohen for automating Windows agent installation; 2nd place went to Rick Chen for unified scheduling of over 3,000 jobs; and 1st place went to Joel Polster for enabling self-service provisioning of full environments on-demand for testing within 20 minutes.

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.

This deck outlines what needs to be built in terms of data extraction, analytics, and other open source technologies. Finally, we’ll also discuss commercial alternatives and what features and functions are critical when monitoring micro-services based applications. Attendees of this session will walk away with a clear understanding of: -What is changing with software, and why? -What challenges are faced with these changes? -How to overcome these challenges. This deck was originally presented at AppSphere 2015.

This document provides an overview of LinkedIn's use of big data. It discusses how data is important for LinkedIn's products and services. It describes LinkedIn's big data ecosystem, including tools used for data ingestion (Camus, Gobblin) and scheduling workflows (Azkaban). It provides details on the types and volumes of data handled, including over 900 Kafka topics ingesting 10TB of data daily, 300+ online database tables in Hadoop totaling 8TB, and a 186TB Teradata data warehouse. Automic tools help schedule external, Hadoop, and Teradata ETL jobs.

Q2 eBanking partners with financial institutions that want to leverage the power of virtual banking to grow accounts, increase market share, and become more influential within the communities they serve. This session will explore the challenges and importance of innovating operationally to better manage user experience in a hyper-growth SaaS platform. Review a proven decision process and goals in rolling out AppDynamics at Q2, hear experiences in automating deployments across a large and complex environment spanning hundreds of unique customers and thousands of servers, and gain insight into key wins and experiences Q2 has had since deploying AppDynamics. Key takeaways: o Automation strategies for deploying AppDynamics rapidly across a large, multi-tenant SaaS platform o Best practices for leveraging AppDynamics to increase collaboration between development and operations o Success stories and practical lessons learned in the first nine months implementing a large AppDynamics deployment For more information, go to: www.appdynamics.com

For many organizations, legacy systems’ integration challenges have increased costs and slowed innovation. Learn how Infosys and MuleSoft partner to address these challenges through API enablement - accelerating project delivery speed while reducing costs through pre-fabricated frameworks and solutions.

PayU is a leading payment services provider with presence in 16 growth markets across the world. Its mantra within IT is "fail early, fail often and never roll back," but this is a challenge in a global environment, with cross-located development and operations teams, multiple time zones, cultures, languages, and skill sets. To solve this challenge and provide transparency to development and production teams, PayU chose the AppDynamics Application Intelligence platform. Today AppDynamics gives PayU the ability to get immediate feedback of code changes regardless of the environment or the origin of change. The solution fits perfectly with the microservice architecture and has helped with DevOps adoption in all locations. Key takeaways: o Challenges faced in monitoring microservice-based applications in a globally dispersed operation o How AppDynamics provides a single pane of glass to monitor application changes o Best practices for utilizing AppDynamics in a DevOps culture For more information, go to: www.appdynamics.com

Cloud and microservices! With applications moving into these spaces, how do you monitor the platforms with performance in mind? The session will give you an under-the-hood view into the AppDynamics story for the new .NET landscape, and an end-to-end view of the Azure technologies and how we tie into it. Hear an architectural breakdown of the AppDynamics agent for Azure; the user experience design with continuous integration in mind; and the move to decouple dependency to support the Open Web Interface for .NET. Key takeaways: o How AppDynamics monitors the cloud o How to use AppDynamics to monitor the cloud o Designing for microservices o How the .NET agent is changing to decouple dependency on IIS For more information go to: www.appdynamics.com

This document compares the application performance monitoring (APM) tools AppDynamics and New Relic. It discusses their supported languages and environments, key features for backend, frontend, and mobile monitoring, how each tool helps users solve errors, pricing differences, and concludes that AppDynamics is better for on-premise use while New Relic caters more to startups and smaller businesses.

SpringOne 2021 Session Title: Preparing the Gap Inc. Ecommerce Platform for Traffic Surge During the Holiday Season Speakers: Anand Rao, Advisory Platform Architect at VMware; Ram Kesavan, Senior Director, SRE/PaaS/API Platform at Gap, Inc

In a typical day, New Relic receives half a trillion data points from our customers. All of these need to be processed, stored and made available for charts, queries and alerts as soon as possible. Getting from humble roots to querying more than a billion events a second has meant radically reinventing and re-architecting the whole platform multiple times. In this session, Matthew Flaming and Nic Benders from New Relic will take you on a deep dive into some of the lessons we've learned along the way and where we go from here. They'll touch on designing scalable services, optimizing for predictability, creating software architecture through team structure, and what it takes to (continuously) rebuild a system that can never stop.

The document discusses how a cloud native platform can help remove barriers between development and operations teams. It outlines key elements of such a platform including rapid provisioning, deployment, scaling, monitoring, and upgrading applications without downtime. The platform aims to enable continuous delivery and deployment through shared tools and an integrated culture between Dev and Ops.

The document outlines the core values and principles of the Lifion development platform. It emphasizes team autonomy but alignment of goals with customers. It aims to develop production-ready services that are secure, maintainable, performant and cost-efficient. This includes designing services for simplicity, using common patterns, preventing overengineering, ensuring security and compliance, optimizing performance and monitoring costs.

This document discusses Java memory monitoring and tuning. It begins by describing the major memory regions in Java including heap, non-heap, code cache and permanent generation. It then discusses monitoring tools like JConsole and JStat. A significant portion discusses changes in Java 8 where the permanent generation was removed and replaced with metaspaces, which are more efficient and no longer cause full garbage collection pauses. The document concludes with examples of metaspace configuration options and monitoring commands.

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.

Five steps to DevOps success are: 1) have complete business transaction visibility to expedite fixing app performance issues; 2) ensure readiness for exceptional customer experience in pre-production; 3) effectively collaborate across Dev, Ops, and Business teams; 4) reduce costs and risks through automated change management; and 5) unlock actionable business insights with application analytics. The document discusses each of these steps in more detail and emphasizes using application intelligence to enable collaboration and speed while maintaining quality and customer experience.

The document summarizes survey results about consumers' perceptions of retail mobile apps. 73% of respondents said a mobile app's performance would impact their view of the retailer. 68% would be discouraged from future purchases if an app or website had negative experiences. 75% would be encouraged to return to a retailer if a prompt personal apology and offer was given for technical issues preventing purchase completion via an app/website. 57% said their shopping experience would improve with an app providing store assistants details of past purchases to enable tailored in-store assistance. 53% would be encouraged to download a retail app if it promised exclusive offers, rewards and content.

The document discusses delivering a 5-star experience for IoT-enabled services. It provides an overview of IoT, breaks down the components of an IoT service, and discusses the challenges of understanding issues that impact customer experience when multiple third parties are involved. It argues that application intelligence solutions are needed to gain end-to-end visibility across business transactions, infrastructure, applications, databases and third parties to quickly identify and resolve issues affecting customer experience.

Data center downtime costs companies significant amounts of money. On average, Fortune 500 companies experience 1.6+ hours of downtime per week, costing $896,000 just in labor costs. The total annual cost of data center downtime for the average company is over $7.9 million per year in labor costs alone. Downtime costs have increased 41% from $5,600 per minute in 2010. With average uptime of 99.9%, companies still experience almost an hour of downtime per week.