Agenda

1. There are new DevOps challenges in AI/Data-driven pipelines
   1. Application behaviours are increasingly data and algorithmic learning driven (rather than fixed business logic). This makes reliability engineering and debugging more difficult.
   2. Increasing data regulations requiring data and algorithmic decisions to be tracked and governed better throughout the DevOps pipeline.
   3. The emergence of blockchain and the challenges in development and deployment smart contracts that cannot be rolled back or changed.
2. Complex collaboration among data scientists, machine learning/data engineers and DevOps engineers.
3. Some solutions and case studies may include integrated data, software, runtime system provenance management, leveraging computational law to embed regulatory requirements into the pipeline and adopts standards in managing consumer data rights.

• Re-evaluating legacy application, IT infrastructure modernisation & migration, with application testing

• Achieving Resilience at the Edge and Cloud Computing

• The DevOps Strategic Critical Path: Transitioning from Waterfall and/or Unify

• Breaking into Serverless Microservices

• Building your CI/CD pipelines in the Cloud

• New approaches & best practices for hybrid cloud architectures

• Solving Reliability Fears with Site Reliability Engineering

• Security Testing for DevOps

• Cloud security: How to keep your users & their data safe

• Strategic DevSecOps

• DevOps in Retail: Getting ready for the imminent DevOps disruptions

• DevOps in Aviation

• DevOps in Energy

• DevOps in Healthcare

• DevOps in Mining

• DevOps in Education

• As IT leaders, CIOs and CTOs struggle with maintaining existing operations, while at the same time adapting to an ever-increasing introduction of new technologies by business leaders, they rarely have time to look beyond short planning horizons. The “new job” of CIO must grow and evolve as digital business spreads, and disruptive technologies, including smart machines and advanced analytics, reach critical mass. The complication is, for many CIOs, the path forward is unclear. What powerful practices should CIOs and IT leaders adopt to position themselves and their organizations to face the coming challenges and opportunities?

• Future Digital Business Model Exploration: Copying the same digital business models that competitors or disruptors are playing, is a game of endless catch-up you may never win. A new generation of entrepreneurial digital CIOs could help their companies break out of that trap by exploring virgin business model space. Is it possible to discover new models that nobody has used before?

• IT Monitoring Insight to Support Your Businesses’ High-Velocity Future. Enterprises clinging to IT monitoring just to understand the health of IT resources will be tomorrow’s digital business losers. The simple truth is that IT monitoring will increasingly become a critical element in an organization’s overall digital business service delivery strategy. Learn not only to survive, but to thrive with the rapid pace of change occurring on the path toward an increasingly digital future.

• The Next Wave of Innovation Will Come from Ecosystems: Enterprises seeking to improve processes, experiences, products, and services will increasingly find solutions outside of their enterprise. They have the choice to leverage ecosystem partners and build their own ecosystems to become platform businesses. Some car makers, municipalities, banks, and other enterprises have learned to leverage digital ecosystems. The next source of scale, execution and value will likely come from ecosystems.

• Develop “System of Systems” Thinking to Manage Platforms and Products: The old regime of large monolithic on-premise applications is ending. Software delivery is fragmenting, blending commodity services with custom Agile code to deliver digital business solutions. This change in software architectures demands a radical rethink of how the CIO organizes the IT function and business relationships to optimize value delivery whilst minimizing cost and risk.  Every CIO should know about Integration Platform as a Service (iPaaS). Digital businesses work in a hyper-connected world where cloud services, enterprise applications, data structures, and even “things” must seamlessly operate together to support business goals. How do you leverage iPaaS, a cloud-based integration technology and a market with phenomenal growth over the last three years for addressing the perennial integration issues and new opportunities that digitization brings.

• Why Should I Adopt DevOps and Agile/Lean Principles?
• Where should I start?
• Case Studies: What successes have DevOps practices helped others achieve?
• Tools to aid DevOps adoption
• What do the current & emerging Cloud Infrastructure Providers have to offer? At what price?
• In the name of Cloud: Embracing the Edge
• Cloud Readiness
• What ROI can I expect?
• How do you get Management Buy-In?

• Brands hits and misses in effectively embracing and leveraging on DevOps to increase agility, break siloes and improve efficiencies
• Making the business case for DevOps and obtaining buy-in from top management
• Dos and Don’ts for successful adoption of DevOps principles at your organization

• The need to recognize that continuous testing is no longer just a QA function
• Continuous testing in a fast-paced agile and DevOps world on the dual mandate of increasing operational agility and speeding products’ time to market
• Incorporating testing and automation into IT processes to boost quality and commercial viability of deployments
  

• Continuous integration to champion transformative changes in product development
• Best practices to facilitate effective, open and frequent communication among developers team
• Continuous integration principles that all organizations must contend with

• How to enable continuous testing in complexity delivery environment. Some large company such as CBA has a very complexity IT system, and each system may following different delivery schedule. How did CBA enable continue testing to support continue delivery in such a environment?
• From Agile to DevOps to Continuous Delivery
• Steps to implement a successful enterprise wide continuous delivery strategy
• Extending automation across the complete application delivery lifecycle, beyond just the development team

• Why organizations across industry verticals are investing in DevOps and where the ROI adds up
• How to convince top management to prioritize the advancement of DevOps over more cost-friendly status quo
• Restructuring your budget to accommodate DevOps
• Identifying best practices for measuring and driving ROI with DevOps

• From Simple to Enterprise Level – The Evolution of Delivery Pipelines due to Microservices and Hybrid Environments
• Making the strategic move away from legacy systems and onto cloud-native applications
• Enable organizations to thrive by delivering features, services, and solutions independently of each other on different delivery timelines
• Breaking your monolith into serverless microservices
• Addressing security and network challenges of containers: Bots and other security breach issues
• Delivering high quality products at high velocity

• How cloud and DevOps work together to help businesses achieve their transformation goals
• Cloud computing for speeding developer productivity and efficiency through automating the process of building, managing and provisioning the codes
• Massive benefits of marrying cloud and DevOps: Speeding the development process, eliminating human error, achieving shorter time to market and establishing repeatability

• Future-proofing your workforce with the advent of agile development, design thinking and DevOps
• Talent Harvesting and Management for DevOps
• How Continuous Feedback Allow DevOps to Bring IT Organizations Closer to Their Customers and Users
• Infusing Customer Feedback in Agile Development, Design Thinking and DevOps
• Feedback loops as a key enabler for next generation modern delivery
• Fuelling data-driven decisions and offering entirely new levels of precision and rapid adjustment to more types of events, variables, and needs*
• Evolving service level definitions as architecture evolves
• Ephemeral architectures require durable visibility
• Agile development requires predictable performance
• Transformation of Delivery Systems using Agile and Dev.Ops
• How Dev and Ops teams collaborate and work together
• The Value & Effectiveness of Scrum Coaching for DevOps and how to measure it, and why is it so important

• Continuous integration to champion transformative changes in product development
• Best practices to facilitate effective, open and frequent communication among developers team
• Continuous integration principles that all organizations must contend with

• Roadmap to building a collaborative culture: integrating tools used and unifying the metrics monitored
• Achieving cohesive equation between the two functions and minimizing change resistance for enterprise-wide DevOps adoption
• Ensuring tools and procedures implemented align with the organization’s goals and objectives

• The road to AIOps: How AI can help in the predictive analytics
• The key drivers and elements of AIOps to optimize DevOps
• How AIOps can help in Improved data access, superior execution efficiency & smarter resource management

• ethical use of user data
• combatting algorithmic discrimination
• ethical open source licenses (e.g. Just World License) which bar organisations from using open source projects if they are involved in sex trafficking, slavery, gambling, tobacco and other unethical industries
• industry blacklisting where SaaS companies refuse to provide service to certain industries

• Why including data experts within the continuous delivery process can be a big boon for DevOps and all stages of the delivery pipeline
• Improving capture, collection and analysis of data to its full potential
• How big data analytics enable better planning of software updates, lower error rates, higher consistency between development and production environments

• ITOps delivering on the promise of DevOps and riding on the spirit of collaboration
• Understanding different ways of applying ITOps technologies: Root cause analysis, anomaly and pattern detection and health analysis
• Better together: ITOps analytics and DevOps working hand in hand to help organizations develop unique competitive advantages and get ahead of the game

• Ensuring security is baked in from the beginning and not simply an afterthought
• Dealing with external and internal legislative requirements e.g. segregation of duties, changing of control boards and handling external (outsourced) providers
• Migration from project based to delivery to an embedded cross functional DevSecOps asset team in a highly regulated environment
  

• Automation
• Continuous deployment and integration
• People – the Agile/Culture
• Biggest challenges
• Recent successes and the way forward

• All user stories that go to production are fully tested/NFR  tested in one sprint
• Can we automate all NFR Test cases?
• All the knowledge to prepare and execute the NFR test cases should be available in the DEVOPS team
• Do we really have to do NFR testing? Or is monitoring of NFR’s in production enough?

• Overcoming change and resistance especially with legacy and new systems
• Current DevOps Bottlenecks
• DevOps is not only for Unicorns, using DevOps in industrial environments
• Overcoming challenges with resource management and efficiency to deliver profitable ventures
• DevOps – Bullshit or Blessing?
• HumanOps: Human Aspects – critical role in a DevOps organisation
• From Buzzword to Living Culture – DevOps
• The emergence of new tools for DevOps: Cluster Computing
• Balancing agility goals with security and stability in the delivery and scaling process
• The Next Hurdle

This workshop serves as an all-rounded introduction session on the essentials of DevOps in today’s digital ecosystem. Hear from our exceptional workshop leader on:

• Steps to introduce and embrace DevOps in your organization: Continuous Development, Continuous Testing, Continuous Integration and Continuous Deployment.
• Adjusting and adapting suitable team structures for DevOps
• Understanding the architectural changes required to introduce testability and continuous deployment and different open source tools available for DevOps.
• Aligning the end-goal of your DevOps projects with organisational objectives and goals
• Setting clear benchmarks, KPIs for project evaluation and sustainability
• Avoiding potential pitfalls in DevOps project implementation

Developing a squad of cross-functional DevOps practitioners can be extremely challenging – especially to meet the ever increasing demand of quality at speed & to shift testing to the left to make deployments faster, better and smarter. One tool may not be sufficient for our testing needs – we may have to select a range of toolsets to automate the functional and non-functional elements (performance & security) & orchestrate the solutions in the build pipeline. This will ensure early detection of bugs & foster a culture of collaboration as well. Production deployment can be reduced to mere non-events by deploying values in smaller chunks but continuously. Targeted test automation can also assist in Post production monitoring.

Participants will get a hands-on exposure of working in a team & finding out scenarios using modern techniques like Specification By Example, automating the testing scenarios, integrating functional & non-functional testing solutions to the CI/CD pipeline, deploying the code to Pre-Production & subsequently to Production environments. We’ll create an environment of failing fast & delivering quality customer outcome.

While DevOps has long been identified as a source of competitive advantage in a digital ecosystem, very few organizations have successfully delivered on the promises of this evolutionary way of working for technology teams. This is especially the case for traditionally large and siloed organizations where scaling is an uphill battle of cultural resistance, disparate tooling and legacy systems, deep-rooted silos, and thousands of recommendations from across the web.

This workshop will provide one the opportunity to learn how leaders of the world’s top software teams get a massive return on investment from their engineering efforts by focusing on developer automation. Gain insights, tips and simple, yet comprehensive, leadership blueprint that you can use to scale quick wins across your organization, get buy-in and investment from your company, and align your team.