DevOps Metrics GA
October 27, 2021
Jellyfish DevOps Metrics
is a new feature that allows software development and DevOps teams
to track and optimize software delivery. The addition of these
metrics positions Jellyfish as the only platform that gives
visibility into the full cycle of value delivery, enabling teams to
continuously improve their engineering operations and deliver value
faster and more reliably. With Jellyfish DevOps Metrics, customers
can automate measurement of metrics like Lead Time, Deployment
Frequency, Mean Time to Restore, and Change Failure Rate - key
metrics for elite performing engineering teams.
Software engineering and DevOps teams strive to deliver value
quickly and continuously to customers, but they often lack the
ability to quantify progress toward that goal. In order to optimize
delivery processes, practices, and tooling, teams must first be able
to measure, track, and visualize them. Most teams quickly find these
tasks to be more difficult and time consuming than they had
expected, leaving them with more questions than answers.
Jellyfish launches DevOps Metrics to allow engineering teams to
measure and optimize software delivery and performance.
"DevOps teams and their leaders needed to answer these questions in
a way that is as fast and automated as the DevOps tools and
practices they are employing," explains David Gourley, co-founder
and CTO at Jellyfish. "Jellyfish gives teams the power to make
DevOps measurable so they can see what's working, fix what's not,
and ultimately deliver more value to customers faster."
By analyzing signals from Continuous Integration, Incident
Management, Issue Tracking, and other DevOps tools, Jellyfish DevOps
Metrics provide constant visibility into the state of a team's
DevOps practices. This allows engineering and DevOps leaders to make
process and tool standardization measurable, invest in what works,
and remove what doesn't.
With Jellyfish, best
in class software engineering organizations can quantify their
effectiveness as defined by Google's DevOps Research and Assessment
(DORA) group as key for optimizing processes and practices for peak
Deployment Frequency: How often the team pushes deploys
Change Lead Time:
Time from when a change request is initiated to when it is deployed
Change Failure Rate:
How often incidents or deployment failures occur
Mean Time to Restore:
Average time from an incident having been triggered to when it has
Metrics gives us deeper visibility into our DevOps practices,
allowing us to make more informed, strategic decisions," said Ryan
Jones, Vice President of Software Engineering at Jobber. "You can't
continuously improve if you don't know what you're improving.
Jellyfish brings reliable, accurate measurements around deployments,
lead time, and failures that help us improve delivery and better
support the small businesses that rely on us."
Jellyfish DevOps Metrics is an important addition to the Jellyfish
Engineering Management Platform, enabling engineering leaders to
measure and continuously improve the strategy and operations of
their organization, from the structure and allocation of resources,
to the health and performance of their teams, to DevOps processes
and tools, in order to ensure fast, efficient, and predictable
delivery of quality software. The announcement of Jellyfish DevOps
Metrics builds upon the platform's current capabilities to measure
engineering alignment to strategic business priorities and the
performance and productivity of engineering teams.