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Dynatrace Amplify Partner Sales Kickoff 2023: Observability Unleashed

Dynatrace

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. “The historical definition of observability is transforming,” Clayton said. Log management at scale Drive enhanced analytics with lower cost considerations.

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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently. By definition, zero-day attacks take organizations by surprise.

DevOps 187
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Three smart log ingestion strategies in Dynatrace (without OneAgent)

Dynatrace

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure.

Strategy 182
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How to evaluate modern APM solutions

Dynatrace

G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. A modern APM solution should give you complete observability into your front-end, back-end, underlying infrastructure, and cloud environments. Application performance insights. Insight into business KPIs.

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Evolution of Netflix Conductor:

The Netflix TechBlog

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. The Netflix Media Database (NMDB) is one such example.

Lambda 189
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.

Analytics 207
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Transforming Development with AWS

All Things Distributed

I was joined by 32,000 James Bonds at the conference today from all around the world, and we introduced new services focused on accelerating this transformation across development, testing and operations, data and analytics, and computation itself. Transformation in Development, Testing, & Operations.

AWS 162