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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210
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Automated observability, security, and reliability at scale

Dynatrace

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. The screenshot below displays such a configuration.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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Best Practices for a Seamless MongoDB Upgrade

Percona

Upgrading to the newest release of MongoDB is the key to unlocking its full potential, but it’s not as simple as clicking a button; it requires meticulous planning, precise execution, and a deep understanding of the upgrade process. Powerful change streams and support for data definition language operations. In MongoDB 6.x:

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What is API monitoring?

Dynatrace

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. APIs each have a web address, known as an API endpoint, and serve as the channel by which a consuming application and API communicate.

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. This type of traffic originates directly from the server, making it more challenging to handle due to latency and server load considerations; it’s hard but not impossible.

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. This type of traffic originates directly from the server, making it more challenging to handle due to latency and server load considerations; it’s hard but not impossible.Â