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Gaining Organizational Visibility
Christopher Pepe
Head of Solution Architecture
Appfire
Ed Gaile
Principal Solution Architect
Appfire
The system is completely
down. Your code sucks!
Ops
10:30am
It was working fine during
testing. Must be you.
Devs
10:32am
● Development Teams: Focused on
delivering new features quickly.
● Operations Teams: Focused on
stability, uptime, and risk reduction.
● The Result: Silos, conflicting priorities,
and poor communication.
Classic problems:
Dev vs Ops
Fragile process
● Manual deployment processes
● Infrequent, big-bang releases
● High risk of failure, with long rollback times
● Lack of test automation
No visibility, no accountability
● Devs lacked insight into production
performance
● Ops had limited context around code
changes
● Customer issues took too long to reach
the right team
● Breaks down silos between Dev and
Ops; eliminate blame
● Shared ownership, collaboration,
automation
● Promotes continuous integration,
testing, and delivery
DevOps: people
and process
● Beware: automation increases
complexity and does not ensure
higher performance
● DevOps != tools and tech
● Start simple, achieve something
● Change often so that you get good at it
Incremental
improvement
You cannot automate what you don’t
understand. –Pepe
DevOps improves execution at the team
level but only addresses a fraction of the
visibility and alignment challenges that
organizations face.
Leaders still struggle to answer:
● Are we investing in the right initiatives?
● How do we balance short-term delivery
with long-term business goals?
● How do we create visibility across
departments and functions, not just
dev teams?
What about
everyone else?
CEO
Operations
Revenue
Sales
Marketing
Channel
Product
Product Owners
Support
Engineering
R&D
Development
Ops / Hosting
Dev Ops
By 2025, 70% of digital investments
will fail to deliver the expected business
outcomes due to the absence of an
SPM approach.
Gartner, 2024 Strategic Roadmap for the EPMO,
published 11 January 2024
Delivery
Strategy
Delivery
Coordination
Strategy
Delivery
Coordination
Strategy
Problem: The larger an organization gets,
the more difficult it is to connect their
strategic vision to their actual deliverable
outputs.
Size of
organization
Middle Managers fail because:
● Self-taught, No formal training provided
● Frustrated at inability to affect change
How?
● Alignment through KPIs
● Strategy lost in translation
● Empire Builders distract, delay, and
deflect
● Bureaucracy leads to apathy
Why Coordination Fails
Middle management is critical in translating Strategy to Execution
Warning: Don’t optimize for your KPIs
Do KPIs ensure success?
Do KPIs ensure success?
Business Challenges
Align to work goals
Align budget,
talent, & strategy
Plan & Track Work
Developer
Productivity &
Efficiency
Scattered Metrics
No visibility into
cycle times &
handoffs
Maximize ROI by delivering the right features — on time
● Aligns investments with business
strategy and outcomes
● Enables data-driven decisions across
teams and leadership
● Optimizes resource allocation and
funding for highest-value initiatives
● Reduces redundancy and improves
efficiency of execution
● Creates a single source of truth for
initiatives, budgets, and timelines
● Bridges silos across IT, Finance,
Marketing, and Product
Strategic Portfolio
Management
Program management
Strategic portfolio management
Goals and objectives
Strategy Strategy layer
● CPO, CTO, Finance, R&D
Portfolio layer
● Product Directors, Group PMs,
PMO, ePMO
Execution layer
● Programs, Products, Portfolios,
Roadmaps, Projects
7pace
Project management
Work
management
Time Tracking
Use cases
Objectives and
key results (OKR)
Financial
management
Strategic
prioritization
Risk
management
Define measurable
outcomes aligned to
long-term goals
Track budgets and
actuals in real-time,
integrated into project
workflows
Prioritize initiatives
using custom or built-in
frameworks like RICE,
ICE, and WSJF
Identify, assess, and
mitigate risks across
strategy and execution
0. Non-strategic goals
Example walkthrough
The Board wants to see the ELT stabilize
revenue, and grow gross billings, while
improving margin %
Business Engine
1. Planning and
Strategy
Example walkthrough
● Initiative: Open New Market
● OKR: Convert 20% of Jira users to
Confluence in 1H
● Budget, timelines, and milestone
tracking are centralized and tracked.
2. Time tracking and
effort management
Example walkthrough
As engineers begin sprint work:
● Actual effort versus estimated effort.
● Issues like under-scoping or hidden
complexity early.
● Monitor/manage effort distribution
3. Developer productivity
and workflow insights
Example walkthrough
Throughout execution:
● Flow ingests data from GitHub, GitLab,
Bitbucket, and Jira to show velocity
trends, cycle time, and collaboration
metrics.
● It highlights bottlenecks in PR reviews,
long lead times, or teams not
collaborating effectively.
● Leadership can intervene proactively
instead of post-mortem analysis.
4. Feedback loop and
accountability
Example walkthrough
● BigPicture pulls in real-time data from
7pace (actuals vs planned) and Flow
(productivity, throughput).
● Stakeholders see a holistic, data-driven
view of how strategic goals are
progressing—backed by delivery and
developer activity.
● This informs reallocation,
reprioritization, or executive escalations
if needed.
Software Engineering
Intelligence
Consider the DVCS Connector
Flow uses Git and Ticket data for visibility
across your SDLC to maximize efficiency
and improve predictability
Jira
Github
Bitbucket
GitLab
Azure DevOps
Code Commits
Engineering work
items / tickets
Pull Requests
Imagine Invest Plan Create Release Measure
Winning Aspiration Idea to Production Outcome
Plan & Track
Illustrative Questions Answered
● How accurate is our planning?
● Do we have overburdened
engineers?
● Are we able to really focus on
our sprint goals?
Code & Collaborate
Illustrative Questions Answered
● What friction do engineers
experience?
● Do teams review and
collaborate effectively?
● Do we have knowledge silos?
Build & Release
Illustrative Questions Answered
● How often do we deploy?
● What waiting states take the
longest?
Invest
Illustrative Questions Answered
● Is my team working on the right
things?
● How am I spending my
engineering investment?
Observe and reduce friction through the SDLC
*Success metrics derived from 2M+ Flow data points between
2018 and 2022 and actual customer results.
Unlock your people
● Improve collaboration; Reduce
time to merge by 14 hours
● Reduce engineer ramp time by
4 months
Upgrade your process
● Reduce cycle time by 35%
● Optimize investment dollars
and save millions annually on
reporting costs
A successful change journey starts with
a solid foundation and needs services to
support the long term path
Demonstrate impact
Build on your foundations with small,
iterative improvements of your “mechanical”
metrics progressing towards goals.
● Improve delivery metrics
● Eliminate bottlenecks
● Improve quality through collaboration
● Improve tooling and the delivery pipeline
● Measure improvements and create tight
feedback loops across your system of
delivery
Establish a foundation
Baseline your organization with Flow data
shared across your teams and begin to
understand the cadence of your business
and identify patterns.
● Standardize practices, processes, &
tooling
● Set and communicate expectations
● Establish stable teams
● Identify areas of improvement
● Set targets relative to your baselines
Strategically grow
Harness the improvements being made
within your system of delivery and improve
the commercial results of your business.
● Demonstrate product/service
improvements
● Improve strategic investments
● Regularly deliver on Objectives and Key
Results
● Increase revenue and customer
satisfaction
A successful change journey starts with
a solid foundation and needs services to
support the long term path
Establish a foundation
Baseline your organization with Flow data
shared across your teams and begin to
understand the cadence of your business
and identif patterns.
● Standardize practices, processes, &
tooling
● Set and communicate expectations
● Establish stable teams
● Identify areas of improvement
● Set targets relative to your baselines
A successful change journey starts with
a solid foundation and needs services to
support the long term path
Demonstrate impact
Build on your foundations with small,
iterative improvements of your “mechanical”
metrics progressing towards goals.
● Improve delivery metrics
● Eliminate bottlenecks
● Improve quality through collaboration
● Improve tooling and the delivery pipeline
● Measure improvements and create tight
feedback loops across your system of
delivery
A successful change journey starts with
a solid foundation and needs services to
support the long term path
Strategically grow
Harness the improvements being made
within your system of delivery and improve
the commercial results of your business.
● Demonstrate product/service
improvements
● Improve strategic investments
● Regularly deliver on Objectives and Key
Results
● Increase revenue and customer
satisfaction
How do I find bottlenecks?
Engineering signals are Leading Indicators in a workstream. This
objectively gives a view of what is happening on the ground in
near real time.
● Impact score - effort != progress
● Sprint Movement - sprint over sprint completion rate. Based
on what's delivered in a sprint you can see if on/off track
● Dev Weeks - engineer effort distribution
● Time to Merge - part of cycle time, early indicator of a
problem
Change set 1
1 file
++100 lines
Change set 2
3 files, 4 insertion points
++16 lines -24 lines
On the left we have a large commit of 100
new lines in a single file. On the right, we
have a much smaller commit, where only 16
lines were added, 24 were removed and
happened over three files at multiple
insertion points.
Both commits receive an Impact score, but
the right one scores slightly higher. Smaller,
frequent commits focused on iteration,
cleanup, and fixes happen more often,
leading to higher overall scores. We’ve
observed that teams working this way
deliver more for their customers.
Impact score
Sprint movement
Sprint
movement
Ticket Delivery Sprint 6
Dec 3, 2021 - Jan 6, 2022
● Completed a lot of work
● Most of it was planned
● We had some scope creep
Dev weeks
Why do you spend 40% of your time on Defects? Could that be improved?
● Indicates poor quality control in the SDLC
● Impacts planning in the SPM
● Solution: Adopt or advance TDD capability/automate testing as part of the SDLC
● Solution: Improve Pull Request Review quality, adopt common coding standards, create
more collaboration between developers
● Solution: Create clearer story definitions and acceptance criteria
Dev weeks
Time to merge: PR resolution chart
● On average Pull Requests are merged within the 24 hr SLA
● A few outliers but generally all are done within 75 hrs Max Allowable
● What is the reason for the outliers? It is a process or behavior/individual that can be addressed?
Questions?

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DevOps and End to End Visibility with Ed Gaile

  • 1. Gaining Organizational Visibility Christopher Pepe Head of Solution Architecture Appfire Ed Gaile Principal Solution Architect Appfire
  • 2. The system is completely down. Your code sucks! Ops 10:30am It was working fine during testing. Must be you. Devs 10:32am
  • 3. ● Development Teams: Focused on delivering new features quickly. ● Operations Teams: Focused on stability, uptime, and risk reduction. ● The Result: Silos, conflicting priorities, and poor communication. Classic problems: Dev vs Ops Fragile process ● Manual deployment processes ● Infrequent, big-bang releases ● High risk of failure, with long rollback times ● Lack of test automation No visibility, no accountability ● Devs lacked insight into production performance ● Ops had limited context around code changes ● Customer issues took too long to reach the right team
  • 4. ● Breaks down silos between Dev and Ops; eliminate blame ● Shared ownership, collaboration, automation ● Promotes continuous integration, testing, and delivery DevOps: people and process
  • 5. ● Beware: automation increases complexity and does not ensure higher performance ● DevOps != tools and tech ● Start simple, achieve something ● Change often so that you get good at it Incremental improvement You cannot automate what you don’t understand. –Pepe
  • 6. DevOps improves execution at the team level but only addresses a fraction of the visibility and alignment challenges that organizations face. Leaders still struggle to answer: ● Are we investing in the right initiatives? ● How do we balance short-term delivery with long-term business goals? ● How do we create visibility across departments and functions, not just dev teams? What about everyone else? CEO Operations Revenue Sales Marketing Channel Product Product Owners Support Engineering R&D Development Ops / Hosting Dev Ops
  • 7. By 2025, 70% of digital investments will fail to deliver the expected business outcomes due to the absence of an SPM approach. Gartner, 2024 Strategic Roadmap for the EPMO, published 11 January 2024
  • 8. Delivery Strategy Delivery Coordination Strategy Delivery Coordination Strategy Problem: The larger an organization gets, the more difficult it is to connect their strategic vision to their actual deliverable outputs. Size of organization
  • 9. Middle Managers fail because: ● Self-taught, No formal training provided ● Frustrated at inability to affect change How? ● Alignment through KPIs ● Strategy lost in translation ● Empire Builders distract, delay, and deflect ● Bureaucracy leads to apathy Why Coordination Fails Middle management is critical in translating Strategy to Execution
  • 10. Warning: Don’t optimize for your KPIs
  • 11. Do KPIs ensure success?
  • 12. Do KPIs ensure success?
  • 13. Business Challenges Align to work goals Align budget, talent, & strategy Plan & Track Work Developer Productivity & Efficiency Scattered Metrics No visibility into cycle times & handoffs Maximize ROI by delivering the right features — on time
  • 14. ● Aligns investments with business strategy and outcomes ● Enables data-driven decisions across teams and leadership ● Optimizes resource allocation and funding for highest-value initiatives ● Reduces redundancy and improves efficiency of execution ● Creates a single source of truth for initiatives, budgets, and timelines ● Bridges silos across IT, Finance, Marketing, and Product Strategic Portfolio Management
  • 15. Program management Strategic portfolio management Goals and objectives Strategy Strategy layer ● CPO, CTO, Finance, R&D Portfolio layer ● Product Directors, Group PMs, PMO, ePMO Execution layer ● Programs, Products, Portfolios, Roadmaps, Projects 7pace Project management Work management Time Tracking
  • 16. Use cases Objectives and key results (OKR) Financial management Strategic prioritization Risk management Define measurable outcomes aligned to long-term goals Track budgets and actuals in real-time, integrated into project workflows Prioritize initiatives using custom or built-in frameworks like RICE, ICE, and WSJF Identify, assess, and mitigate risks across strategy and execution
  • 17. 0. Non-strategic goals Example walkthrough The Board wants to see the ELT stabilize revenue, and grow gross billings, while improving margin % Business Engine
  • 18. 1. Planning and Strategy Example walkthrough ● Initiative: Open New Market ● OKR: Convert 20% of Jira users to Confluence in 1H ● Budget, timelines, and milestone tracking are centralized and tracked.
  • 19. 2. Time tracking and effort management Example walkthrough As engineers begin sprint work: ● Actual effort versus estimated effort. ● Issues like under-scoping or hidden complexity early. ● Monitor/manage effort distribution
  • 20. 3. Developer productivity and workflow insights Example walkthrough Throughout execution: ● Flow ingests data from GitHub, GitLab, Bitbucket, and Jira to show velocity trends, cycle time, and collaboration metrics. ● It highlights bottlenecks in PR reviews, long lead times, or teams not collaborating effectively. ● Leadership can intervene proactively instead of post-mortem analysis.
  • 21. 4. Feedback loop and accountability Example walkthrough ● BigPicture pulls in real-time data from 7pace (actuals vs planned) and Flow (productivity, throughput). ● Stakeholders see a holistic, data-driven view of how strategic goals are progressing—backed by delivery and developer activity. ● This informs reallocation, reprioritization, or executive escalations if needed.
  • 23. Consider the DVCS Connector
  • 24. Flow uses Git and Ticket data for visibility across your SDLC to maximize efficiency and improve predictability Jira Github Bitbucket GitLab Azure DevOps Code Commits Engineering work items / tickets Pull Requests
  • 25. Imagine Invest Plan Create Release Measure Winning Aspiration Idea to Production Outcome Plan & Track Illustrative Questions Answered ● How accurate is our planning? ● Do we have overburdened engineers? ● Are we able to really focus on our sprint goals? Code & Collaborate Illustrative Questions Answered ● What friction do engineers experience? ● Do teams review and collaborate effectively? ● Do we have knowledge silos? Build & Release Illustrative Questions Answered ● How often do we deploy? ● What waiting states take the longest? Invest Illustrative Questions Answered ● Is my team working on the right things? ● How am I spending my engineering investment? Observe and reduce friction through the SDLC
  • 26. *Success metrics derived from 2M+ Flow data points between 2018 and 2022 and actual customer results. Unlock your people ● Improve collaboration; Reduce time to merge by 14 hours ● Reduce engineer ramp time by 4 months Upgrade your process ● Reduce cycle time by 35% ● Optimize investment dollars and save millions annually on reporting costs
  • 27. A successful change journey starts with a solid foundation and needs services to support the long term path Demonstrate impact Build on your foundations with small, iterative improvements of your “mechanical” metrics progressing towards goals. ● Improve delivery metrics ● Eliminate bottlenecks ● Improve quality through collaboration ● Improve tooling and the delivery pipeline ● Measure improvements and create tight feedback loops across your system of delivery Establish a foundation Baseline your organization with Flow data shared across your teams and begin to understand the cadence of your business and identify patterns. ● Standardize practices, processes, & tooling ● Set and communicate expectations ● Establish stable teams ● Identify areas of improvement ● Set targets relative to your baselines Strategically grow Harness the improvements being made within your system of delivery and improve the commercial results of your business. ● Demonstrate product/service improvements ● Improve strategic investments ● Regularly deliver on Objectives and Key Results ● Increase revenue and customer satisfaction
  • 28. A successful change journey starts with a solid foundation and needs services to support the long term path Establish a foundation Baseline your organization with Flow data shared across your teams and begin to understand the cadence of your business and identif patterns. ● Standardize practices, processes, & tooling ● Set and communicate expectations ● Establish stable teams ● Identify areas of improvement ● Set targets relative to your baselines
  • 29. A successful change journey starts with a solid foundation and needs services to support the long term path Demonstrate impact Build on your foundations with small, iterative improvements of your “mechanical” metrics progressing towards goals. ● Improve delivery metrics ● Eliminate bottlenecks ● Improve quality through collaboration ● Improve tooling and the delivery pipeline ● Measure improvements and create tight feedback loops across your system of delivery
  • 30. A successful change journey starts with a solid foundation and needs services to support the long term path Strategically grow Harness the improvements being made within your system of delivery and improve the commercial results of your business. ● Demonstrate product/service improvements ● Improve strategic investments ● Regularly deliver on Objectives and Key Results ● Increase revenue and customer satisfaction
  • 31. How do I find bottlenecks? Engineering signals are Leading Indicators in a workstream. This objectively gives a view of what is happening on the ground in near real time. ● Impact score - effort != progress ● Sprint Movement - sprint over sprint completion rate. Based on what's delivered in a sprint you can see if on/off track ● Dev Weeks - engineer effort distribution ● Time to Merge - part of cycle time, early indicator of a problem
  • 32. Change set 1 1 file ++100 lines Change set 2 3 files, 4 insertion points ++16 lines -24 lines On the left we have a large commit of 100 new lines in a single file. On the right, we have a much smaller commit, where only 16 lines were added, 24 were removed and happened over three files at multiple insertion points. Both commits receive an Impact score, but the right one scores slightly higher. Smaller, frequent commits focused on iteration, cleanup, and fixes happen more often, leading to higher overall scores. We’ve observed that teams working this way deliver more for their customers. Impact score
  • 34. Sprint movement Ticket Delivery Sprint 6 Dec 3, 2021 - Jan 6, 2022 ● Completed a lot of work ● Most of it was planned ● We had some scope creep
  • 36. Why do you spend 40% of your time on Defects? Could that be improved? ● Indicates poor quality control in the SDLC ● Impacts planning in the SPM ● Solution: Adopt or advance TDD capability/automate testing as part of the SDLC ● Solution: Improve Pull Request Review quality, adopt common coding standards, create more collaboration between developers ● Solution: Create clearer story definitions and acceptance criteria Dev weeks
  • 37. Time to merge: PR resolution chart ● On average Pull Requests are merged within the 24 hr SLA ● A few outliers but generally all are done within 75 hrs Max Allowable ● What is the reason for the outliers? It is a process or behavior/individual that can be addressed?