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Conducting log analysis with an observability platform and full data context

Dynatrace

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 193
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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

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Automated observability, security, and reliability at scale

Dynatrace

While infrastructure has historically been treated as a bottleneck where proper scaling and compute power are applied to improve performance, these aspects are now typically addressed by hyperscalers that offer cloud-based infrastructure and infrastructure as a service. You can read all about it in our Configuration as Code documentation.

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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. While the result of this offline analysis was very exciting, what really matters to us is our members’ streaming experience. Stay tuned! We are working with external partners to enable more and more devices for AV1 streaming.

Media 246
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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

across hybrid and multi-cloud environments?. While adjusting to dynamic cloud-native environments, teams can determine?the Dynatrace, on the other hand, brings developer visibility to a holistic multi-cloud approach that enables true cross-departmental CloudOps, DevOps, and holistic visibility. AI-powered answers, provided by?

Lambda 214
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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. Please share your experience by adding your comments below and stay tuned for more on data lineage at Netflix in the follow up blog posts. .

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USENIX LISA 2018: CFP Now Open

Brendan Gregg

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more.

DevOps 43