Compliance and security practices often depend on manual, outdated methods that impede software delivery performance. Compliance breaches that occur late in the software delivery pipeline result in costly mistakes that are difficult to correct. In this webinar, we will discuss how leading companies are automating security and compliance within their continuous delivery pipelines, resulting in faster discovery, detection and remediation of security violations and vulnerabilities.

Learn how these companies have achieved policy enforcement through the application of regulatory compliance templates and automatic enforcement of environment-specific organizational rules and standards in their continuous delivery pipelines. This provides them the ability to get real-time, data-driven insights that enable rapid review, remediation and triage of security errors and vulnerabilities.

Businesses face multiple challenges in today’s dynamic business environment. The ability to adapt to sudden changes in the economy, meet the demands of well-informed customers and compete against highly agile competitors all drive the need for new ways of doing business. But the explosion of data, legacy systems that struggle to manage it and processes that were developed decades ago all threaten businesses’ ability to not just survive but thrive in a modern, digitized world.

The key to meeting these challenges is through the use of effective, flexible and agile automation platforms. This is doubly important for businesses that run on SAP® ERP systems. For many companies SAP® has become both a blessing and a curse. It effectively manages massive amounts of data but often relies on error-prone, manual data entry processes and data that’s managed externally in spreadsheets.

In this session, we will discuss how these obstacles can be overcome through effective SAP® process automation. We will discuss what’s driving the need for automation today and how companies are adopting both desktop and process automation platforms to solve previously intractable, expensive and time-consuming SAP® processes. You’ll discover how multiple companies are using automation to achieve stellar business results and thrive even in the face of sudden market changes and complex business environments.

You’ll learn:

• Why automation is the key to digital transformation success
• How companies start their automation journeys
• Multiple ways to measure automation success through examples of successful implementations
• The primary pain points when adopting automation
• The core elements of a successful hyperautomation strategy

Key Takeaways:

• Why automation is so important in today’s environment
• Three ways companies are starting their automation journeys
• How automating SAP® processes can help deliver immediate benefits to your business
• What specific benefits process automation can bring to complex, data-intensive SAP® product processes

We have a talent shortage. We can never seem to find enough talented software developers, QA and DevOps engineers. At the same time, automating the software workflow pipeline is a necessity to deliver software at the pace demanded by businesses. DevOps leads us to automate many software processes including continuous integration, continuous delivery, testing and more. AI/ML is increasingly playing a role in the DevOps toolchain we use to create and deliver software. Is automation and AI/ML our way out of the software talent shortage or is this another management pipe dream?

Join our panel of software and DevOps experts as we explore if the need for software developers is outpacing the supply of talent, growing role of automation in the software creation process, and how much automation and  AI/ML can play a role in meeting the need to create more software, faster.

Continuous integration and continuous delivery (CI/CD) pipelines can help a DevOps team establish uninterrupted delivery and flow of information, not to mention enhanced productivity. Join Everbridge as Eric Maxwell, solution architect at xMatters, an Everbridge Company, discusses:

• Improving CI/CD issue resolution times
• Speeding up pipeline gates that require human decision-making
• Enriching pipeline notifications with context to make them more actionable
• Improving output quality and incident response

According to the State of DevOps Report, “nearly 80% of organizations remain in the middle of their DevOps journey, experiencing varying degrees of success at the team level but not across the entire organization.” There could be organizational-level reasons for companies to still be stuck—including cultural challenges. However, from a functional level, the absence of visibility into the non-value-added work from a value stream perspective is still a problem. Reducing or eliminating waste is one of the most important tenets of Lean software engineering. Waste can be found everywhere, from too many people working on a project and ineffective communication to an excessive number of manual processes, backlog mismanagement and rework.

And one way of solving this is to look at automating the flow using some significant patterns (that synchronize, trigger, monitor and collect data for metrics) to achieve the goals of each step in the DevOps pipeline—faster and better product delivery, faster feedback, faster issue resolution and reduced complexity, greater scalability and availability and more stable operating environments. Also, automation enables organizations to gather data for measurements that aim to achieve business goals and outcomes.

In this program, we will highlight the importance of eliminating waste by automating the flow of information between systems and people in the DevOps pipeline and how to use the data collected across the value stream for metrics and analytics. You’ll learn:

• How to identify non-value-added and value-added activities in DevOps pipelines
• What an automation pattern is and how to use it effectively
• Examples of automation patterns that are significant to DevOps
• Automation pattern use cases, what problems they solve and what value they bring
• How to use metrics and analytics to achieve business goals and outcomes