Operations | Monitoring | ITSM | DevOps | Cloud

Webinar

Enforce fine-grained policy control across your data infrastructure

In this video, Dewan and Peter help Rapu, a fictional crab, to be successful in his first few weeks as a junior DevOps engineer. They cover how open policy agent (OPA) can be used together with Terraform to enforce fine-grained policy control across a data infrastructure.

Modernizing your APM solution with a unified observability platform

DevOps can get complete visibility into application performance and various components of web application using application performance monitoring (APM). And APM insights depend on how well you can observe your application stack, using comprehensive metrics, distributed traces, and detailed logs. Join our webinar to learn how Site24x7's APM Insight offers in-depth visibility to troubleshoot performance issues and provide reliability to your app users around the world.

Expand your ITSM: Key learnings for building connected enterprise workflows

After several years of increasing tech stack complexity, the pendulum is finally swinging back towards simplifying the IT landscape - and the best place to start is with the low-hanging fruit. A natural consideration for IT teams is extending ITSM to support the broader organization. But consolidating tools and connecting enterprise workflows doesn't come without its challenges.

Founder & Friends: Making It Work with Scott Hanselman

Join us for an exclusive Founder & Friends episode featuring Scott Hanselman, renowned technology expert and host of popular podcasts such as Hanselminutes, Azure Friday, Ratchet and the Geek. Discover the insights, experiences, and wisdom of Scott as he takes us behind the scenes of his successful career and shares his perspectives on the tech industry, work-life balance, and much more! JD and Scott are ready to dive into stories and experiences that have shaped their professional journeys and made them the successful individuals they are today.

Open Source MLOps on AWS

With the rise of generative AI, enterprises are growing their AI budgets, looking for options to quickly set up the infrastructure and run the entire machine learning cycle. Cloud providers like AWS are often preferred to kick-start AI/ML projects as they offer the computing power to experiment without long-term commitments. Starting on the cloud takes away the burden of computing power, reducing start-up time and cost and allowing teams to iterate more quickly.