Move Your Selenium Testing to the Cloud

Capital One’s highly integrated environment creates many interdependencies for its agile teams. Because these dependencies were not being completed until late in their sprints, Adam Auerbach says that Capital One faced prolonged integration and regression testing phases and did not realize expected improvements in quality or time-to-market. As technology leaders pushed for continuous delivery (CD), testing needed to shift left and occur simultaneously with development. To shift left, the testing community needed to learn basic development skills, including Ruby and Java, to take advantage of advanced automation practices, service virtualization, and the continuous integration (CI) pipeline. Adam shares Capital One’s experience implementing continuous testing and describes its core principles. He explains service virtualization and the CI/CD pipeline and why they are important concepts for testers to understand and leverage. Since continuous testing is not easy and many companies have large organizations of manual testers, Adam provides a learning map that will help organizations plan the transition.

The Journey to Continuous Testing

Test automation should be an activity that involves the entire project team—not just the testing group. Test automation is a technical testing task, and the test team benefits from the assistance of others in the organization. Jim Trentadue outlines the various testing activities with the corresponding contributions and benefits of each team member. Project managers can coordinate the effort and schedule. Business analysts can manage technical test requirements. User acceptance testers can provide proper steps and screenshots for IT personnel. Developers can write code with testability in mind. Database administrators can manage the data used in the tests and check for database effects and impacts. Jim reviews automated testing nuances and what to account for, discussing the differences between a manual and automated testing setup. With the contributions of all, the benefits of test automation will be shared by the entire project team—not just the testers.

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Ahmer Khan

What Everyone on the Team Needs to Know about Test Automation

Automated testing can be difficult, slow to implement, involve expensive and non-compatible software, and require a high level of technical expertise to use. Join Matt Joste as he presents Ryerson University's Automation Framework, put together using best-in-class open source software. The framework allows software developers, product owners, and testers without a technical background to write and run automated scripts. This modular framework addresses both functional and nonfunctional automated tests—performance, security, and accessibility—and is both agile and expandable. Matt explains the benefits and constraints of using an integrated set of open source tools such as JMeter (for performance), Robot Framework and Selenium (for functional testing), ZAP (for security), Appium (for mobile) and Pally (for accessibility)—all connected to Jenkins (for continuous testing). Matt discusses his team’s journey and key learnings in defining the framework and provides some ideas for using tests in production for proactive monitoring and alerting.

ABHISHEK SHARMA Resume

Abhishek Sharma

How to Build a Fully Open Source Test Automation Framework

Automation is vital to modern testing. But if you listen to what testers complain about, problems with test automation is a recurring theme. We complain about how hard it is to add, run, or change tests. We grumble about how difficult it is to keep up with developers who keep breaking tests and bemoan the number of bugs missed by our automation. Dave Westerveld digs into some of these frustrations and shares real-life examples of automation anti-patterns. These include test bloat and some of the reasons for it, or what happens if we don't leverage automation in the right places. Dave describes “green” tests that never fail, “red” tests that cry wolf, those tests that you love, and the ones you are afraid of. Dave shares proven solutions for correcting these issues. Learn how to recognize automation anti-patterns and leave with the solutions you need to bring your tests back from the dead and make them useful again.

Automation Anti-Patterns: Deal with Them

“I have noticed that even people who claim everything is predetermined and that we can do nothing to change it, look before they cross the road” (Stephen Hawking). As agile teams, we know that we can’t know everything, so we shouldn’t waste time thinking about that which we don’t know and can’t predict. Faster feedback loops, smaller pieces of functionality, and product owners imbedded with project teams help us identify risk better than speculation. So why are we still losing sleep over it? Annette Head shares the story of how her team used a risk census and a risk burndown chart to help them sleep peacefully at night. A risk-based approach is inherent to properly executed agile projects. Integrating risk assessment into the agile process tells us where to focus our energies first. So arm yourself with tools to help you and your team stop worrying about the risk monster lurking under your bed.

Things That Go Bump: Product Risk Assessment in Agile

Detection theory says: When trying to detect a certain event, a person can correctly report that it happened, miss it, report a false alarm, or correctly report that nothing happened. Under conditions of uncertainty, the decision to report an event is strongly influenced by how likely it is that the event could happen or what the consequences of the event might be. Using real life examples, Ru Cindrea shows how this theory can be applied not only to finding defects but also to fixing them. The decision to fix a defect is also made under conditions of uncertainty and, although testers are not the ones making such decisions, testers may influence how decisions are made. Ru discusses how we testers, in addition to finding the right balance between misses and false alarms when hunting for defects, must use our credibility to provide the right information to stakeholders making decisions about fixing defects.

Design for Reliability (DfR) Seminar

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Detection Theory Applied to Finding and Fixing Defects

Test automation scripts are largely run against stable functionality with repeatable results. But automation does not have to be just about running reliable tests against a fixed code base to make them effective; rather, you can determine the right level of automation you need to meet your project’s needs. Three levels of test automation will be discussed in this presentation: Level 1 tests exercise the simplest aspect of functionality in a module, Level 2 tests explore all module aspects except interfaces to other components, and Level 3 tests examine the deepest level of functionality in a module, including those that interface to other components. Join Jim Trentadue as he presents the academic views of each stage and provides practical examples. This session will arm QA & test professionals with the ability to improve the logic in their automation scripts and increase the chances of detecting more defects by defining their appropriate levels of test automation.

PADMA PRIYA

Padma Priya

Defining the Optimal Level of Test Automation

For testers, creating tests is critical for a healthy testing process, so it is painful to see how boring writing test cases can be. In classical approaches, test cases are overcrowded with words—mostly project information that everyone already knows. What test cases don’t have is distilled information that allows testers to focus on the core functionality. Hipo has recently changed their approach to writing test documentation. Ömürden Cengiz believes that checklists are poised to take the throne from test cases, especially among startups and client-servicing shops where projects move much faster than in the rest of the industry. Clearing test cases of unnecessary words and steps and turning test cases into checklists added great value in their experience. Hipo shortened the documentation time and created a pool of checklists that testers, developers, and even customers can add to. Testing got stronger with increased technical knowledge and a user-side perspective. Integrating checklists with keyword-driven automation frameworks increases their ability to create tests in parallel.

Test Cases Are Dead, Long Live Checklists

Channel 4 broadcasting company in Finland provides live streams of sporting events on the Internet (Ruutu.fi). The software development is done by agile principles but even more straightforward and quicker than normal agile projects. Tomi Kaleva says they have changed the entire production environment and renewed all the mobile apps in the past year. As a result, the normal agile development speed wasn’t enough. The fast software development cycle makes software testing challenging as there isn’t sufficient time for test planning and testing execution. The solution was to precisely prioritize the testing, mostly ad hoc without test planning in advance. It was critical that the whole development team participate in the testing and that the software developers be ready to fix bugs. Since some tests were done by customers after the software was released to production, it was crucial to listen to customers’ feedback and to react quickly to repair problems. Super-agile is an effective process to quickly release software to market but the high risk of poor quality must be addressed.

Testing in a Super-Agile Software Development Environment

In today’s environment of plummeting software delivery cycle times, test automation becomes a more critical and strategic necessity. How can we possibly keep up with software delivery’s explosive pace while retaining satisfactory test coverage, keeping the reins on costs, and reducing risk? Carl Nagle maintains that the long-term solution is a greater level of “sustainable” test automation. The SAFS method separates test design from test execution with a data-driven/action-based approach that encapsulates volatile application-specific data into readily localizable “maps” for simple maintenance. Test designs (scripts) are completely independent of the ready-to-run SAFS engines that will execute them. And since the test design methodology does not change over long periods of time, testers can focus more on getting robust automation in place quickly, with little attention paid to each new technology, testing tool, or test IDE. Join Carl to learn how test automation thrives when testers and tools are not tied up in application-specific silos.

Microsoft Word - Santhosh Resume2

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Fostering Long-Term Test Automation Success

Choice can be a wonderful thing—when you’re buying a car and research abounds to help you decide. But when selecting the best agile scaling framework for your organization, choice can be downright intimidating and costly. SAFe, Scrum of Scrums, DAD, LeSS, or SSwS? There is a lot at stake. With many scaling frameworks to choose from, you’re probably questioning what each brings to the table. How can we assess which will result in the best outcome? What selection criteria should we use? Join Tom Weinberger as he shares expert insights, comparing and contrasting the capabilities of the most popular scaling frameworks and their evolution. Tom discusses the benefits and challenges of adopting and transforming using a scaled framework. He examines the training and vendor support available from both process and tool vendors to assist in the transformation. Tom brings practical advice about “hybrid” frameworks, helping you assess their benefits when one specific model doesn’t fit all your needs. Armed with this knowledge, you as transformation leaders can reduce the stress and costs involved in choosing the best framework for your organization.

Which Agile Scaling Framework Is Best?

Business analysts, developers, and testers are sometimes not on the same page when it comes to test automation. When there is no transparency in test cases, execution, coverage, and data, review of automation by all stakeholders is difficult. Making automation scripts easily readable and writable allows stakeholders to better participate. Subodh Parulekar describes how his team dealt with these issues. Learn how they leveraged behavior-driven development (BDD) concepts and put a wrapper around their existing automation framework to make it more user-friendly with the easy to understand Given-When-Then format. Subodh discusses how his team implemented the new approach in four months to automate 700+ test cases. Now, test reports contain the actual Gherkin test step that passed or failed allowing any stakeholder to evaluate the outcome. Learn how stakeholders can rerun a failed test case from the reporting dashboard to determine if the failure is related to a synchronization, environmental, functional, or test data problem.

Making Your Test Automation Transparent

Do you ever feel you have lost confidence in your own abilities? Why does this happen? Isabel Evans spends a lot of time painting. Someone once commented, “Why are you doing this, when you are not very good at it?” And gradually she stopped drawing and painting, after being intimidated by a conventional vision of what good art should look like. At the same time, she experienced a parallel loss of confidence in her professional abilities. Attempting creative pursuits like drawing and painting is essential to cognitive, emotional, creative abilities and she began to understand the correlation between her creative activities and her confidence. Making errors, being wrong, failing – that is a generous gift we receive when we practice outside our skill level. By staying in a comfort zone and repeating successes, we stagnate. As Isabel started to create again she thought “I don’t feel good at it, I do feel good doing it” The difference was that she was learning, having ideas and the act of re-engaging with failure, together with the comradeship of friends and colleagues, including at Women Who Test, Isabel has regained her confidence in her professional abilities, and been able to reboot her career and joy. Join Isabel to share a journey from self-perceived failure, to recovery and renewed learning.

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Failing and Recovering

The DevOps movement is here. Companies across many industries are breaking down siloed IT departments and federating them into product development teams. Testing and its practices are at the heart of these changes. Traditionally, IT organizations have been staffed with mostly manual testers and a limited number of automation and performance engineers. To keep pace with development in the new “you build it, you own it” environment, testing teams and individuals must develop new technical skills and even embrace coding to stay relevant and add greater value to the business. DevOps really starts with testing. Join Adam Auerbach as he explains what DevOps is and how it relates to testing. He describes how testing must change from top to bottom and how to access your own environment to identify improvement opportunities. Adam dives into practices like service virtualization, test data management, and continuous testing so you can understand where you are now and identify steps needed to instill a DevOps testing culture in your team and organization.

Instill a DevOps Testing Culture in Your Team and Organization

Imagine this … As soon as any developed functionality is submitted into the code repository, it is automatically subjected to the appropriate battery of tests and then released straight into production. Setting up the pipeline capable of doing just that is becoming more and more common and something you need to know about. But most organizations hit the same stumbling block—just what IS the appropriate battery of tests? Automated build architectures don't always lend themselves well to the traditional stages of testing. In this hands-on tutorial, Melissa Benua introduces you to key test design principles—applicable to organizations both large and small—that allow you to take full advantage of the pipeline's capabilities without introducing unnecessary bottlenecks. Learn how to make highly reliable tests that run fast and preserve just enough information to let testers and developers determine exactly what went wrong and how to reproduce the error locally. Explore ways to reduce overlap while still maintaining adequate test coverage. Take back ideas about which test areas could benefit from being combined into a single suite and which areas could benefit most from being broken out altogether.

Test Design for Fully Automated Build Architecture

Many organizations invest a lot of effort in test automation at the system level but then have serious problems later on. As a leader, how can you ensure that your new automation efforts will get off to a good start? What can you do to ensure that your automation work provides continuing value? This tutorial covers both “theory” and “practice”. Dot Graham explains the critical issues for getting a good start, and Chris Loder describes his experiences in getting good automation started at a number of companies. The tutorial covers the most important management issues you must address for test automation success, particularly when you are new to automation, and how to choose the best approaches for your organization—no matter which automation tools you use. Focusing on system level testing, Dot and Chris explain how automation affects staffing, who should be responsible for which automation tasks, how managers can best support automation efforts to promote success, what you can realistically expect in benefits and how to report them. They explain—for non-techies—the key technical issues that can make or break your automation effort. Come away with your own clarified automation objectives, and a draft test automation strategy to use to plan your own system-level test automation.

System-Level Test Automation: Ensuring a Good Start

Let’s build a mobile app quality and testing strategy together. Whether you have a web, hybrid, or native app, building a quality and testing strategy means (1) knowing what data and tools you have available to make agile decisions, (2) understanding your customers and your competitors, and (3) testing your app under real-world conditions. Jason Arbon guides you through the latest techniques, data, and tools to ensure the awesomeness of your mobile app quality and testing strategy. Leave this interactive session with a strategy for your very own app—or one you pretend to own. The information Jason shares is based on data from Appdiff’s next-gen mobile app testing platform, lessons from Applause/uTest’s crowd, text mining hundreds of millions of app store reviews, and in-depth discussions with top mobile app development teams.

Build Your Mobile App Quality and Test Strategy

Technologies, testing processes, and the role of the tester have evolved significantly in the past few years with the advent of agile, DevOps, and other new technologies. It is critical that we testing professionals evaluate ourselves and continue to add tangible value to our organizations. In your work, are you focused on the trivial or on real game changers? Jennifer Bonine describes critical elements that help you artfully blend people, process, and technology to create a synergistic relationship that adds value. Jennifer shares ideas on mastering politics, maneuvering core vs. context, and innovating your technology strategies and processes. She explores how new processes can be introduced in an organization, what the role of organizational culture is in determining the success of a project, and how you can know what tools will add value vs. simply adding overhead and complexity. Jennifer reviews critically needed tester skills and discusses a continual learning model to evolve your skills and stay relevant. This discussion can lead you to technologies, processes, and skills you can stake your career on.

Testing Transformation: The Art and Science for Success

We’ve all been there. We work incredibly hard to develop a feature and design tests based on written requirements. We build a detailed test plan that aligns the tests with the software and the documented business needs. And when we put the tests to the software, it all falls apart because the requirements were changed without informing everyone. Mary Thorn says help is at hand. Enter behavior-driven development (BDD), and Cucumber and SpecFlow, tools for running automated acceptance tests and facilitating BDD. Mary explores the nuances of Cucumber and SpecFlow, and shows you how to implement BDD and agile acceptance testing. By fostering collaboration for implementing active requirements via a common language and format, Cucumber and SpecFlow bridge the communication gap between business stakeholders and implementation teams. In this workshop, practice writing feature files with the best practices Mary has discovered over numerous implementations. If you experience developers not coding to requirements, testers not getting requirements updates, or customers who feel out of the loop and don’t get what they ask for, Mary has answers for you.

Implement BDD with Cucumber and SpecFlow

Many teams go crazy because of brittle, high-maintenance automated test suites. Jim Holmes helps you understand how to create a flexible, maintainable, high-value suite of functional tests using Selenium WebDriver. Learn the basics of what to test, what not to test, and how to avoid overlapping with other types of testing. Jim includes both philosophical concepts and hands-on coding. Testers who haven't written code should not be intimidated! We'll pair you up to make sure you're successful. Learn to create practical tests dealing with advanced situations such as input validation, AJAX delays, and working with file downloads. Additionally, discover when you need to work together with developers to create a system that's more easily testable. This tutorial focuses primarily on automating web tests, but many of the same concepts can be applied to other UI environments. Demos and labs will be in C# and Java using WebDriver. Leave this tutorial having learned how to write high-value WebDriver tests—and stay sane while doing so.

Develop WebDriver Automated Tests—and Keep Your Sanity

DevOps is a cultural shift aimed at streamlining intergroup communication and improving operational efficiency for development and operations groups. Over time, inclusion of other IT groups under the DevOps umbrella has become the norm for many organizations. But even broadening the boundaries of DevOps, the conversation has been largely devoid of the business units’ place at the table. A common mistake organizations make while going through the DevOps transformation is drawing a line at the IT boundary. If that occurs, a larger, more inclusive silo within the organization is created, operating in an informational vacuum and causing operational inefficiency and goal misalignment. Sharing his experiences working on both sides of the fence, Leon Fayer describes the importance of including business units in order to align technology decisions with business goals. Leon discusses inclusion of business units in existing agile processes, benefits of cross-departmental monitoring, and a business-first approach to technology decisions.

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Chris Parlette maintains that renting infrastructure on demand is the most disruptive trend in IT in decades. In 2016, enterprises spent $23B on public cloud IaaS services. By 2020, that figure is expected to reach $65B. The public cloud is now used like a utility, and like any utility, there is waste. Who's responsible for optimizing the infrastructure and reducing wasted expenses? It’s DevOps. The excess expense, known as cloud waste, comprises several interrelated problems: services running when they don't need to be, improperly sized infrastructure, orphaned resources, and shadow IT. There are a few core tenets of DevOps—holistic thinking, no silos, rapid useful feedback, and automation—that can be applied to reducing your cloud waste. Join Chris to learn why you should include continuous cost optimization in your DevOps processes. Automate cost control, reduce your cloud expenses, and make your life easier.

Eliminate Cloud Waste with a Holistic DevOps Strategy

With the recent emergence of DevOps across the industry, testing organizations are being challenged to transform themselves significantly within a short period of time to stay meaningful within their organizations. It’s not easy to plan and approach these changes considering the way testing organizations have remained structured for ages. These challenges start from foundational organizational structures and can cut across leadership influence, competencies, tools strategy, infrastructure, and other dimensions. Sumit Kumar shares his experience assisting various organizations to overcome these challenges using an organized DevOps enablement framework. The framework includes radical restructuring, turning the tools strategy upside down, a multidimensional workforce enablement supported by infrastructure changes, redeveloped collaborations models, and more. From his real world experiences Sumit shares tips for approaching this journey and explains the roadmap for testing organizations to transform themselves to lead the quality in DevOps.

Transform Test Organizations for the New World of DevOps

All too often, the triple constraints—time, cost, and quality—are bandied about as if they are the be-all, end-all. While they are important, leadership—the fourth and larger underpinning constraint—influences the first three. Statistics on project success and failure abound, and these measurements are usually taken against the triple constraints. According to the Project Management Institute, only 53 percent of projects are completed within budget, and only 49 percent are completed on time. If so many projects overrun budget and are late, we can’t really say, “Good, fast, or cheap—pick two.” Rob Burkett talks about leadership at every level of a team. He shares his insights and stories gleaned from his years of IT and project management experience. Rob speaks to some of the glaring difficulties in the workplace in general and some specifically related to IT delivery and project management. Leave with a clearer understanding of how to communicate with teams and team members, and gain a better understanding of how you can be a leader—up and down your organization.

The Fourth Constraint in Project Delivery—Leadership

As teams grow, organizations often draw a distinction between feature teams, which deliver the visible business value to the user, and component teams, which manage shared work. Steve Berczuk says that this distinction can help organizations be more productive and scale effectively, but he recognizes that not all shared work fits into this model. Some work is best handled by “specialists,” that is people with unique skills. Although teams composed entirely of T-shaped people is ideal, certain skills are hard to come by and are used irregularly across an organization. Since these specialists often need to work closely with teams, rather than working from their own backlog, they don’t fit into the component team model. The use of shared resources presents challenges to the agile planning model. Steve Berczuk shares how teams such as those providing infrastructure services and specialists can fit into a feature+component team model, and how variations such as embedding specialists in a scrum team can both present process challenges and add significant value to both the team and the larger organization.

Resolve the Contradiction of Specialists within Agile Teams

Metrics don’t have to be a necessary evil. If done right, metrics can help guide us to make better forward-looking decisions, rather than being used for simply managing or monitoring. They can help us identify trade-offs between options for what to do next versus punitive or worse, purely managerial measures. Steve Martin won’t be giving the Top Ten List of field-tested metrics you should use. Instead, in this interactive mini-workshop, he leads you through the critical thinking necessary for you to determine what is right for you to measure. First, Steve explores why you want to measure something—whether it’s for a team, a portfolio, or even an agile transformation. Next, he provides multiple real-life metrics examples to help drive home concepts behind characteristics of good and bad metrics. Finally, Steve shows how to run his field-tested agile game—Pin the Tail on the Metric. Take back this activity to help you guide metrics conversations at your organization.

Pin the Tail on the Metric: A Field-Tested Agile Game

A hierarchy is an organizational network that has a top and a bottom, and where position is determined by rank, importance, and value. A holarchy is a network that has no top or bottom and where each person’s value derives from his ability, rather than position. As more companies seek the benefits of agile, leaders need to build and sustain delivery capability while scaling agile without introducing unnecessary process and overhead. The Agile Performance Holarchy (APH) is an empirical model for scaling and sustaining agility while continuing to deliver great products. Jeff Dalton designed the APH by drawing from lessons learned observing and assessing hundreds of agile companies and teams. The APH helps implement a holarchy—a system composed of interacting organizational units called holons—centered on a series of performance circles that embody the behaviors of high performing agile organizations. Jeff describes how APH provides guidelines in the areas of leadership, values, teaming, visioning, governing, building, supporting, and engaging within an all-agile organization. Join Jeff to see what the APH is all about and how you can use it in your team and organization.

Agile Performance Holarchy (APH)—A Model for Scaling Agile Teams

A Business-First Approach to DevOps Implementation

DevOps is transforming software development with many organizations adopting lean development practices, implementing continuous integration (CI), and performing regular continuous deployment (CD) to their production environments. However, the database is largely ignored and often seen as a bottleneck in the DevOps process. Steve Jones discusses the challenges of database development and why many developers find the database to be an impediment to the CD process. Steve shares the techniques you can use to fit a database into the DevOps process. Learn how to store database code in a version control system, and the differences between that and application code. Steve demonstrates a CI process with SQL code and uses automated testing frameworks to check the code. Steve then shows how automated releases with manual gates can reduce the stress and risk of database deployments while ensuring consistent, reliable, repeatable releases to QA, UAT, and production.

Databases in a Continuous Integration/Delivery Process

Organizations are moving rapidly into mobile technology, which has significantly increased the demand for testing of mobile applications. David Dangs says testers naturally are turning to automation to help ease the workload, increase potential test coverage, and improve testing efficiency. But should you try to automate all things mobile? Unfortunately, the answer is not always clear. Mobile has its own set of complications, compounded by a wide variety of devices and OS platforms. Join David to learn what mobile testing activities are ripe for automation—and those items best left to manual efforts. He describes the various considerations for automating each type of mobile application: mobile web, native app, and hybrid applications. David also covers device-level testing, types of testing, available automation tools, and recommendations for automation effectiveness. Finally, based on his years of mobile testing experience, David provides some tips and tricks to approach mobile automation. Leave with a clear plan for automating your mobile applications.

Mobile Testing: What—and What Not—to Automate

Diversity is becoming the norm in everyday life. However, introducing global delivery models without a proper understanding of intercultural differences can lead to difficulty, frustration, and reduced productivity. Priyanka Sharma and Thena Barry say that in our diverse world, we need teams with people who can cross these boundaries, communicate effectively, and build the diverse networks necessary to avoid problems. We need to learn about cultural intelligence (CI) and cultural quotient (CQ). CI is the ability to relate and work effectively across cultures. CQ is the cognitive, motivational, and behavioral capacity to understand and respond to beliefs, values, attitudes, and behaviors of individuals and groups. Together, CI and CQ can help us build behavioral capacities that aid motivation, behavior, and productivity in teams as well as individuals. Priyanka and Thena show how to build a more culturally intelligent place with tools and techniques from Leading with Cultural Intelligence, as well as content from the Hofstede cultural model. In addition, they illustrate the model with real-life experiences and demonstrate how they adapted in similar circumstances.

Cultural Intelligence: A Key Skill for Success

Why would a century-old utility with no direct competitors take on the challenge of transforming its entire IT application organization to an agile methodology? In an increasingly interconnected world, the expectations of customers continue to evolve. From smart meters to smart phones, IoT is creating a crisis point for industries not accustomed to rapid change. Glen Morris explains that pizzas can be tracked by the minute and packages at every stop, and customers now expect this same customer service model should exist for all industries—including power. Glen examines how to create momentum and transform non-IT-focused industries to an agile model. If you are struggling with gaining traction in your pursuit of agile within your business, Glen gives you concrete, practical experiences to leverage in your pursuit. Finally, he communicates how to gain buy-in from business partners who have no idea or concern about agile or its methodologies. If your business partners look at you with amusement when you mention the need for a dedicated Product Owner, join Glen as he walks you through the approaches to overcoming agile skepticism.

Turn the Lights On: A Power Utility Company's Agile Transformation

This presentation covers the following topics: What is logging? The purpose of logging: Debugging The purpose of logging: Security The purpose of logging: Stats & analytics Traditional logging Traditional logging: Advantages Traditional logging: Disadvantages The solution: Large-scale logging Large-scale logging: Core principles Large-scale logging: Solution types Large-scale logging: Cloud vs on-prem Large-scale logging: Operational complexity Large-scale logging: Security Large-scale logging: Costs Large-scale logging: On-prem comparison - Elasticsearch - Grafana Loki - VictoriaLogs On-prem comparison: Setup and operation On-prem comparison: Costs On-prem comparison: Full-text search support On-prem comparison: How to efficiently query 100TB of logs? On-prem comparison: Integration with CLI tools VictoriaLogs for large-scale logging VictoriaLogs demo instance - Ingestion rate: 3600 messages / minute - The number of log messages: 1.1 billion - Uncompressed log messages’ size: 1.5TB - Compressed log messages’ size: 23GB - Compression ratio: 47x - Memory usage: 150MB VictoriaLogs CLI integration demo - Which errors have occurred in all the apps during the last hour? - How many errors have occurred during the last hour? - Which apps generated the most of errors during the last hour? - The number of per-minute errors for the last 10 minutes - Status codes for the last hour - Non-200 status codes for the last week - Top client IPs for the last 4 weeks with 404 and 500 response status codes - Per-month stats for the given IP across all the logs Large-scale logging solution MUST provide excellent CLI integration VictoriaLogs: (temporary) drawbacks VictoriaLogs: Recap - Easy to setup and operate - The lowest RAM usage and disk space usage (up to 30x less than Elasticsearch and Grafana Loki) - Fast full-text search - Excellent integration with traditional command-line tools for log analysis - Accepts logs from popular log shippers (Filebeat, Fluentbit, Logstash, Vector, Promtail, Grafana Agent) - Open source and free to use!

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