Unified Monitoring Webinar with Dustin Whittle

How an APP-CENTRIC network traffic analyzer can help you monitor your network traffic and plan accordingly.

Gain in-depth visibility into your network and application layers and identify the impact that your applications are causing on your network and vice versa with ManageEngine OpManager.

NCAA Basketball 2015 Championship selections has already gathered the crowd. With almost every employee in an organization streaming live videos—IT and security admins are bracing for the heavy toll on their companies' networks. It is ​vital for all IT managers to ​handle severe traffic spikes on their networks by using these tips and act proactively to prevent​ network outages.

This presentation will give you a detailed insight on why configuration management software is really needed for your IT infrastructure

This document discusses operations, monitoring, and observability. It provides an overview of each topic. For operations, it describes different models from manual to proactive. For monitoring, it explains that the goal is to understand what is broken and why by looking at symptoms and causes. It also discusses monitoring methodologies like using key metrics and thresholds. For observability, it defines it as understanding a system more fully by capturing metrics, events, and traces. It explains the three pillars of observability - metrics, logging, and tracing - and how they provide visibility into reliability, bottlenecks, and request flows.

FullStack London July 15th, 2016 Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination. We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization. Attendees of this session will walk away with a clear understanding of: What is instrumentation, and what do I instrument, collect, and store? The understanding of overhead and how this can be accomplished on common software stacks? How to work with application owners to collect business data. How correlation works in custom open source or packaged monitoring tools.

This document summarizes how OpManager helps a large Indian IT services firm monitor their IT infrastructure. Some key points: - The firm has 18,000+ employees and generates $650 million in annual revenue. Downtime of just 1 hour could result in significant losses. - OpManager provides centralized monitoring of over 3,000 devices across their wide, geographically distributed network from its data centers in Mumbai, Pune and Chennai. - Features like customizable dashboards, reports, network maps, and automated workflows help the firm maintain visibility into performance and configure alerts. This enables them to address issues proactively and ensure infrastructure reliability.

Service Assurance for modern apps. What's required to deliver strategic IT services in an age when apps and infrastructure are more complex than ever and the volume of data they generate is growing by orders of magnitude each year? Gone are the days when we could rely on people to solve machine data problems.

Keynote presentation from CMG Conference explaining the challenges in management and now monitoring and business visibility provided by modern APM tools is critical to business execution

This document summarizes a leading IT solutions provider in Kosovo's use of NetFlow Analyzer to monitor their network. They have 500 employees across 2 branch offices with over 5,000 interfaces on their routers and switches. Previously, they struggled with connectivity issues, inability to measure bandwidth usage, and difficulty tracing security threats. Using NetFlow Analyzer since 2012 has helped them lower bandwidth costs by 25% by identifying unnecessary bandwidth usage, improve quality of service by resolving connectivity problems faster, and maintain network security by monitoring for anomalies. The provider credits NetFlow Analyzer with reducing monitoring time and assessing future network needs.

This was a talk I presented at the IoT North America conference outside of Chicago in April 2016. It goes quite deep into the systems in use and the challenges of today's digital businesses, which must focus on the customer journey from the order through the delivery and even post-delivery of goods.

This document discusses new capabilities in Splunk's App for Stream and Splunk MINT products. It begins with an introduction and overview of each product. It then discusses key benefits like real-time insights, efficient cloud data collection, and fast time to value. Example use cases are provided for IT operations, security, and applications visibility. Supported protocols, platforms, and architecture options are also outlined. The document concludes by discussing challenges in mobile app delivery and how Splunk MINT addresses them through mobile data collection and correlation with other data sources.

Learn what is new in Splunk App for Stream and how it can help you utilize wire/network data analytics to proactively resolve applications and IT operational issues and to efficiently analyze security threats in real-time, across your cloud and on-premises infrastructures. Additionally, you will learn about Splunk MINT, which allows you to gain operational intelligence on the availability, performance, and usage of your mobile apps. You’ll learn how to instrument your mobile apps for operational insight, and how you can build the dashboards, alerts, and searches you need to gain real-time insight on your mobile apps.

The application economy is forcing infrastructure monitoring strategies to adapt rapidly. Can your approach and tools keep pace? View this deck from a recent webcast to learn how your IT monitoring approach and tools can be enhanced to meet the heightened demands of performance and availability across hybrid infrastructure that support today’s applications. Learn more at http://bit.ly/1ttxgLp

NetFlow Analyzer helped a leading bank in Indonesia to monitor its network bandwidth usage and protect the network from security threats.

Why 24x7 monitoring is essential for large enterprise network management system? How to monitor distributed remote locations without losing the data or centralized visibility? How to scale without breaking the IT budget?

This document describes TrakEye, a field service management solution that provides real-time location tracking of field resources, automated case reporting and resolution, and field data analytics capabilities. The solution uses a mobile app and GPS devices to manage and monitor field agents and vehicles. It allows field agents to report issues with photos and videos, assigns cases to the closest available agent, and enables supervisors to monitor agent activity and track field assets on an interactive map. The cloud-based solution securely stores and analyzes field data to optimize routing and resource allocation.

Embark on a 360-degree tour of AppDynamics from the perspective of business transactions and get an insider’s view of the monitoring stations. This is a hands-on, practical training targeted at AppDynamics beginners.

Understand how to expand your application performance monitoring to include business intelligence by harnessing Transaction and Log analytics provided in the AppDynamics Analytics plugin.

Jonah Kowall, VP of Market Development and Insights, 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 microservices based applications. This presentation is from AppSphere 2015. This presentation shares a clear understanding of: - What is changing with software, and why? - What challenges are faced with these changes? - How to overcome these challenges

The document discusses metals, nonmetals, and metalloids according to their placement on the periodic table. Metals are located on the left side of the zigzag line, nonmetals are on the right side, and metalloids are along the zigzag line. Metals are malleable, ductile, good conductors while nonmetals are brittle, poor conductors. Metalloids exhibit properties between metals and nonmetals.

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.

Listen to the recorded webinar here: http://www.appdynamics.com/lp/visibility-from-user-to-infrastructure-on-aws/

Every business is a software business: as companies embrace and embark on digital transformation the organization must become data-driven. Each decision is made based on data and key performance indicators along with analytical insights. Enterprise IT teams in this data-driven era must make decisions across multiple departments within an organizations based on these key insights. AppDynamics Application Analytics is a user and application-driven IT Operations Analytics (ITOA) platform. In this session, you will learn and see specific use cases in which AppDynamics Application Analytics applies to across your organization such as Business Impact Analytics, Usage Analytics & Advance Performance Analytics. This deck was originally presented at AppSphere 2015.

As release velocity increases, teams are finding innovative ways to detect and resolve performance issues earlier in the development cycle. This session will explore how to integrate performance testing into a development lifecycle and why the practice is gaining popularity. Learn how to create a balanced test strategy that matches test type, coverage, environment, and defect target. Scale to deliver high-performing applications. Through continuous integration platforms, performance testing tools, and AppDynamics, see how automated performance testing can reduce time-to-market while increasing overall quality. Key takeaways: o How to get started with performance test automation o How to detect and resolve performance issues earlier in the development lifecycle with AppDynamics o How to maximize the quality and value of your performance test strategy Brad Stoner Senior Sales Engineer, AppDynamics Resources: KonaKart - http://www.konakart.com/ Adminer - https://www.adminer.org/ Jenkins - https://jenkins.io/ NeoLoad - http://www.neotys.com/neoload/overview AppDynamics - https://www.appdynamics.com/free-trial/ GitHub - https://github.com/ Docker Hub - https://hub.docker.com/

The Xerox Government Solutions Health Enterprise Portal supports all of the Health Care Program and Decision Support needs for MMIS management for several states. The solution is based on different IBM products, leveraging IBM Digital Experience and WebSphere Portal Server, WebSphere Application Server, Smarter Process and IBM Security Solutions. To ensure the best possible performance for the users of this major enterprise solution Xerox and IBM worked on optimizing the performance of the solution. To monitor and troubleshoot the solution and optimize the performance AppDynamics Performance Management was used. The session will explain the business drivers, use cases, and architecture choices selected for deployment. We will also discuss in detail how the team leveraged AppDynamics and other tools to optimize and manage the performance of the enterprise health care solution. Join us for a real world showcase how performance was optimized for a state of the art enterprise Health Care solution. This deck was originally presented at AppSphere 2015.

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 presentation demonstrates how you can use OpenShift, Red Hat's Docker and Kubernetes-based platform for managing your DevOps environment, combined with the power of AppDynamics, to deliver a complete next-generation application environment for your enterprise. In this session you will see live demonstrations and learn how OpenShift's orchestration and AppDynamics application monitoring combine to provide a seamless solution for driving your software development lifecycle while also providing insights into the health and effectiveness of your applications. This presentation was originally shared at AppSphere 2015.

In this session, attendees will learn about the new capabilities of AppDynamics with asynchronous transactions and Azure Websites: monitoring deep into these technologies using our software. We will illustrate new visibility and what the future holds for our .NET user base, in terms of how we enable increased visibility into the application lifecycle. Key learnings: -What's new: Asynchronous transactions and Azure Websites -Challenges with monitoring Azure Websites -Visibility that AppDynamics provides This session was originally presented at AppSphere 2015.

This document summarizes Ran Leibman's presentation on monitoring tools, components, and mentality at Facebook. It describes Facebook's monitoring architecture including the operational data store (ODS) for storing metrics, Scuba for real-time log monitoring, the alarm system for creating alerts, Facebook Auto-Remediation (FBAR) for automating issue resolution, notifications and subscriptions for alerting engineers, and dashboards for visualizing data. The presentation emphasizes treating metrics as important data, empowering developers to monitor, automating problem resolution, and using monitoring to surface previously unknown issues.

Learn how AppDynamics is changing the APM market with major enhancements making it easier to configure and extract data from live transactions. AppDynamics next-gen architecture allows for configuration & instrumentation at scale with a new model for configuration management. See how Live Transaction Detection helps identify and extract commonly Instrumented & unInstrumented entry points in Java (ie. Servlets). Deep dive into new ways to identify business transaction latency, introducing features such as thread contention analysis and garbage collection performance visibility for JVM monitoring. The content covered will be applicable and of great value for not only Java APM users, but also anyone managing application configuration when scaling AppDynamics. Key takeaways: o Learn about the next-generation of transaction configuration & instrumentation for scaling your business monitoring with AppDynamics o Go deep into Java diagnostics with new contention analysis and Garbage Collection visibility features in the agent For more information, go to: www.appdynamics.com

The problem that an organization wants to solve with application performance management (APM) is spread across many divisions. Developers are needed to investigate issues hidden deep in the code. QA has to uncover performance-related issues. And operations has to deal with the day-to-day triage of production issues. To be successful with APM and deliver on its core capabilities—including rapid deployments, solution sizing, application audit, triage, and assessments—engineers and managers need to build critical skills. In this presentation, we will explore ways to grow from a cost center to a profit center by delivering value-added services like capacity planning, 100% uptime, and rapid deployments. Key takeaways: o Understand APM maturity model, skill matrix, and concepts of APM as collaboration application o Changing the perception of APM as a cost center to a profit center by delivering value-added services o Matching these critical skills to AppDynamics features For more information go to: www.appdynamics.com

Hugh Brien of AppDynamics shares his Top 10 application issues he sees on a daily basis. The list covers: - Application Performance Monitoring - Database Monitoring - Java, .NET, Node.js, PHP, and Python Monitoring - I/O - And much more