Welcome!

IBM Cloud Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Stefan Bernbo

Related Topics: @DevOpsSummit, Linux Containers, Containers Expo Blog

@DevOpsSummit: Blog Feed Post

How to Weave Lean Thinking into Your Release Management | @DevOpsSummit #Lean #Agile #DevOps

Lean thinking views the whole, not its parts. Then it identifies and eliminates waste across value streams

How to Weave Lean Thinking into Your Release Management for Predictable Delivery
By Simon King

"The core idea of Lean is to maximize customer value."

Lean Enterprise Institute

What is Lean?
Businesses are being driven up against the wall by continual industry disruption. Many are fighting back by adopting Lean as a means to support business transformation. The aim is simple: create more value for customers with fewer resources.

Lean thinking views the whole, not its parts. Then it identifies and eliminates waste across value streams. Here's how you can implement Lean thinking to improve your enterprise release management:

  • View the system as a whole, not as isolated parts.
  • Introduce a culture shift by trusting people, tearing silos, and fixing communication.
  • Strive for Continuous Learning and Continuous Delivery.
  • Build quality in.
  • Create ‘pull' - deliver only what customers want.

A Blueprint to Streamline Your Enterprise Release Function

Plutora - the Big Picture

View the system as a whole and implement Lean thinking across value streams.

Project and Portfolio Management

  • Clear release date and risk to support initiative planning.
  • Avoid over-engineering by prioritizing requirements with the business.
  • Handle frequent status requests from the business with project status boards.

Release Management

  • Replace redundant release reviews with live status tracking.
  • Link projects running at different speeds with Agile Release Trains.
  • Accelerate smaller releases with Agile.
  • Avoid gut calls and biases with data-driven decisions.

Environment Management

  • Avoid unnecessary environment rebuilds by tracking changes.
  • Avoid conflicts by booking environments.

Testing

  • Avoid QA waits by booking environments.
  • Only test what's needed based on implemented requirements and changes.
  • Ensure effective system testing by understanding dependencies.

Ops

  • Reduce release failures with clear deployment plans.
  • Avoid repeating the same mistakes with post implementation reviews.
  • Identify hot spots by tracking post-release defects.

System Level Benefits of Lean

"When an organization enters a Lean transformation, weaving the principles of efficiency and respect into a culture of continuous improvement, too often the IT department is either left out or viewed as an obstacle. Whether you are improving a manufacturing service line or adopting electronic medical records, incorporating IT into the Lean transformation can make or break it."

Gene Kim, Chief Technology Officer, Tripwire, Inc. and co-author of The Visible Ops Handbook and Visible Ops Security

When you introduce and implement Lean in your IT organization, you will improve trust between teams and members and efficiently utilize their skills. All communication will be aligned with goals instead of plans. Finally, your enterprise release function will operate as a single system instead of silos. Together, these improvements help you control predictability and maximize value for the customer.

The post How to Weave Lean Thinking Into Your Release Management for Predictable Delivery appeared first on Plutora.

Read the original blog entry...

More Stories By Plutora Blog

Plutora provides Enterprise Release and Test Environment Management SaaS solutions aligning process, technology, and information to solve release orchestration challenges for the enterprise.

Plutora’s SaaS solution enables organizations to model release management and test environment management activities as a bridge between agile project teams and an enterprise’s ITSM initiatives. Using Plutora, you can orchestrate parallel releases from several independent DevOps groups all while giving your executives as well as change management specialists insight into overall risk.

Supporting the largest releases for the largest organizations throughout North America, EMEA, and Asia Pacific, Plutora provides proof that large companies can adopt DevOps while managing the risks that come with wider adoption of self-service and agile software development in the enterprise. Aligning process, technology, and information to solve increasingly complex release orchestration challenges, this Gartner “Cool Vendor in IT DevOps” upgrades the enterprise release management from spreadsheets, meetings, and email to an integrated dashboard giving release managers insight and control over large software releases.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...