Agile + DevOps East 2023 - DevOps Practices
Tuesday, November 7
Supercharge Your Workflow: To GitHub and Beyond
Whether you are new or experienced with GitHub this class is for you! Supercharging your workflow caters to anyone who wants to enhance their Agile and DevOps process with the capabilities of GitHub. GitHub has long been the premier site for open-source projects and is now turning a pivotal corner into becoming the predominant platform for all aspects of the development lifecycle. Some examples of this include; protecting company code through various GitHub Products or curating marketplace actions and workflows prior to use. This tutorial will look at how to leverage GitHub Actions (CI/CD...
What DevOps Means for Testers and Testing
DevOps is more than a buzzword or a passing fad. It's a radically new approach to rapidly deliver high-quality software applications. However, many organizations don’t fully grasp the magnitude of this change or what it means for everyone involved in the software development lifecycle. Jeffery Payne says that DevOps—when done right—drives higher quality and efficiency into software development, software testing, and application management activities. It empowers teams to remove impediments to quality and productivity throughout the entire software lifecycle. However, when DevOps is done...
Wednesday, November 8
We Got Our Monolith to Move at Light Speed
PreviewIn the financial industry, investment in modernization can take a long time to gain support which slows down momentum for change. While the industry focuses on the next hottest technology, many of us simultaneously continue to own, run, and operate legacy systems. How do we adopt a DevOps culture around a legacy system? How do you evolve the legacy mindset to embrace modernization? Modernization is not solely an application evolution; it is a mindset as well. Embracing a DevOps culture is not technology dependent, it is people dependent. Teaching people the right tools and...
High Octane DevOps: Supercharged CI/CD Pipelines
To reinvent the wheel is to attempt to duplicate, most likely with inferior results and technical debts. Within a large-scale organization the true cost of CI/CD is the toil involved when effort is repeated to create the same or similar pipeline functionality. What Prashant and March discovered during a CI/CD journey is that the key to creating powerful and efficient CI/CD or automation testing pipelines is in not writing pipeline logic at all. The formula that was unlocked is in focusing on the atomic level of the reusable code within pipeline stages. By harnessing the power of creating...
Performance Testing and Engineering in Pipeline
As more and more organizations embark on modernizing their enterprise, and join the agile and DevOps bandwagon, it becomes but natural for the IT and Business teams to relook at their age-old legacy IT processes and align them with the modern delivery techniques. One of the first things that generally gets discussed in such a case from a testing standpoint is to implement a culture of shift left and testing in parallel with development. Harshad and Depen will take us through the essence of what that means from a performance testing and engineering standpoint and deep dive on the approach...
Implementing DevOps Automation: Best Practices and Common Mistakes
Most organizations adopting the cloud have adopted DevOps automation to some degree or another. The primary reason is that continued manual maintenance isn't possible with the same staffing level and increased demand. In short, DevOps automation and cloud consumption are much more than just technology change. They require a fundamental rethinking of how we do things. It's common for DevOps team members to be negatively impacted by the changes others have made. It's common for team members to cause problems by making changes manually instead of through code. Derek has seen managers grow...
AI in DevOps for Improving Engineering Team Productivity
AI and machine learning continue to be hot topics everywhere. The majority of discussions on AI/ML are focused on how generative AI and large language models (LLMs) will change the world. However, LLMs like ChatGPT, Bard, and Llama only represent one area of modern advances in the AI/ML space. Considering the bigger picture of new AI technologies, Chris Navrides has been investigating ways to enable entire new areas of opportunity within the DevOps lifecycle. By leveraging AI in DevOps, he believes teams can improve developer productivity through better code authoring, debugging, and...
DevSecOps in a Bottle—The Care and Feeding of Pocket Pipelines
PreviewDevSecOps techniques give us the power of receiving rapid feedback and the ability to incorporate new information on an ongoing basis. However, challenges arise when the development pipeline must be established without connection to external networks. There are excellent reasons for doing this, including reducing security risks to systems and proprietary data, but a little more consideration is required to provide our teams on pocket networks the same benefits of an end-to-end DevSecOps pipeline implementation for our container application. We will draw on our practical experience...
Thursday, November 9
Smooth Sailing: Navigating Release Management in the DevOps Landscape
Embark on an illuminating voyage with me ( Priyanka Halder) as we delve into Release Management's uncharted territory within the DevOps era. As a Quality Engineering Leader, I invite you to explore the synergy of agility and stability for triumphant software deliveries. We'll uncover strategies that steer us through challenges, nurture collaboration, and embrace evolution in this dynamic sphere. Unravel core DevOps principles, cultivate collaborative cultures, and refine robust release processes. Discover the pivotal role Release Management plays in bridging the agility-stability divide,...
Building Hyper-Scalable and Cost-Effective Solutions with Serverless Cloud Technology
Cloud computing has become the de facto platform of choice for companies to deploy software that they build. Gone are the days when owning a data center was the only way to host critical, high volume and mission critical systems. As companies adopt the cloud and mature their cloud experience, they are faced with a variety of options to choose from. "Serverless" technology, which is offered by all major cloud providers is one such question faced by anyone who is adopting the Cloud. While it may seem quite attractive at first, there are many considerations to be made before an organization...
Integrating FinOps with DevOps for Effective Cloud Cost Optimization and Governance
As enterprises operate in hybrid and multi-cloud environments, their operations teams have to continuously monitor multiple dashboards to keep track of cost, resource consumption, availability, security, etc., across different cloud service providers. There is an acute need for real-time and easy visibility into cloud costs so that everyone including development and testing teams can quickly identify idle resources, prevent virtual sprawl, and implement lifecycle policies. Enterprises also need automation of policy actions (e.g., auto termination of idle resources), anomaly detection,...
CI/CD with Github Actions
In this session, attendees will learn about building, testing, and deploying applications using Github Actions. We will explore diverse ways to trigger builds and test different types of applications. After this session, you'll be able to build, test, and deploy your software from GitHub using GitHub Actions. You will understand GitHub Actions Runners; YAML workflow syntax including workflow triggers, variables, job dependencies, conditionals, matrix builds, outputs; environments; secrets; and deployments including container registries & Azure. By the end of this session, attendees...
Generative AI in Quality Assurance
The need for a new test automation model has been an imperative over the last 10 years as we have moved from waterfall to agile and agile to DevOps. Moving from test coverage to application coverage and reducing test time from months to an hour or less has created a substantial pressure for full success. Now AI in test is a reality. The first generative AI offerings in QA became available in 2018 and since then marked improvements have been made in outcomes. This has changed QA teams' focus, tasks, and work effort. With the ultimate goal of AI finding all our bugs, the advent of...
Pipelineless Security
It's 2023 and security still needs to earn some respect if they want to slide their Sec between Dev and Ops. Their tooling slows down deployment pipelines, typically finding more false positives than real bugs, usually in code written years ago, and often harming development velocity. To their credit, security teams will occasionally make concessions, like pulling long-running rules out of static analysis engines, but that means that the bugs those tools would otherwise find get caught months later in bug bounties, penetration tests, or security incidents. Bug reports for code you didn't...
AutoOps: Harnessing the Power of AI-Augmented Testing with Generative AI
In the rapidly evolving landscape of software development, Continuous Integration and Continuous Deployment (CI/CD) have emerged as pivotal methodologies for delivering high-quality software at an accelerated pace. To ensure the reliability and robustness of software releases in such an environment, the marriage of cutting-edge technologies becomes imperative. Incorporating Generative AI into business process automation seemed daunting just a few years ago. However, the availability and popularization of OpenAI/ChatGPT and other AI/ML technologies have made it a closer reality, and now it...