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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.

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This presentation was given at TopConf Tallinn in May 2015. Title: Driving the DevOps feedback loop in the Enterprise Description (brief overview for marketing purposes, max. length 400 characters-about 65 words): DevOps requires feedback loops backed by consistent data, within enterprises many layers of tools make visibility a challenge. This session outlines modernizing monitoring and providing the right data collection capabilities to support agile application operations. This session will outline the use of open source and commercial software solutions which fit startups to the enterprise. Abstract (Longer, more detailed description (3-6 paragraphs, bullet points welcome) of your presentation to help the program committee understand what you will cover. Please keep in mind that if your proposal is chosen, this abstract will also appear on the website to help conference attendees decide if it's right for them.): Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future

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Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future

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