On-demand Webinar
On-Demand Webinar
Webinar: On-Demand
Webinar: Upcoming Event
Every second spent waiting for a build is a lost opportunity. Quick builds are more than just a time-saver, they're a boost to developer morale and efficiency. They offer immediate feedback, cut down on the cost of context switching, and lead to prompt resolution of any issues – all of which streamline the development cycle.
Embark on a journey to optimize your CI processes with Jim Sheldon, Staff Product Manager, and Nofar Bluestein, Director of Product, in our upcoming webinar. Tailored for developers and DevOps professionals, this session zeroes in on practical, impactful strategies to help you accelerate your builds speed.
In this engaging session, we will provide you with:
- Advanced methods for reducing build time, enhancing the speed and agility of your CI pipelines.
- Expert guidance on implementing effective caching, parallelization, and test optimization techniques.
- Insightful strategies for intelligent resource management and efficient workflow design
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Date and Time
January 1, 2024
Speakers
More Resources
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AI-Native Software Delivery: Produce High-Quality Software Faster
Discover how to apply AI beyond coding assistants to modernize CI/CD, automate delivery, and build safer, smarter, AI-native pipelines—without sacrificing speed, security, or governance.
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Get Dev Teams Excited About Product Experimentation
Unlock the power of experimentation in product development. Drive innovation through data-informed experimentation with this download.
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In this webinar, Rohit Reddy from Harness shares patterns, design lessons, and insights from building a GitOps-first IaC platform using OpenTofu—the open-source Terraform fork backed by the Linux Foundation. Learn how teams can evolve from ad hoc scripts to policy-driven workflows integrated into the delivery lifecycle.
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Streamline metrics and logs analysis to reduce SRE toil
See how Harness SRM analyzes and integrates metrics, logs, configuration changes, deployments, and infrastructure change data to reduce the time it takes to identify the root cause of application service impact.
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