Serdar Bicer
Valven Atlas: Engineering Intelligence That Delivers
#1about 1 minute
Identifying common challenges in engineering management
Software engineering management often suffers from a lack of data-driven decisions, leading to unpredictable planning and poor team visibility.
#2about 1 minute
How Valven Atlas visualizes the entire SDLC
The platform connects to various development tools to monitor the software development lifecycle and analyze key DORA metrics for performance.
#3about 1 minute
Using AI for deeper and holistic data analysis
The platform's AI engine provides a key differentiation by performing deep, holistic analysis on development data to uncover hidden patterns.
#4about 1 minute
Moving beyond charts to provide actionable insights
Instead of just providing charts, the platform delivers actionable insights in plain text to reduce management overhead and simplify decision-making.
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Matching moments
03:10 MIN
Using DORA metrics to measure engineering's business impact
What Developers Get Wrong About Application Quality
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07:36 MIN
A live demonstration of an internal developer platform
AI-Augmented DevOps with Platform Engineering
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04:09 MIN
Implementing practical initiatives for engineering excellence
We adopted DevOps and are Cloud-native, Now What?
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03:15 MIN
Introducing platform engineering and its technical components
Platform Engineering vs. DevOps Why not both?
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06:29 MIN
Overcoming observability challenges with a unified platform
All your telemetry data from any source in one place
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03:44 MIN
Adopting a platform engineering strategy for developer empowerment
Empowering Thousands of Developers: Our Journey to an Internal Developer Platform
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02:25 MIN
Applying AI beyond code generation in the SDLC
The AI-Ready Stack: Rethinking the Engineering Org of the Future
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01:24 MIN
AI's growing role in the software development lifecycle
The AI-Ready Stack: Rethinking the Engineering Org of the Future
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