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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. Distributed and parallel query processing heavily relies on data partitioning to break down a large data set into multiple pieces that can be processed by independent processors.

Big Data 154
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels.

Traffic 339
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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. In general, you can measure the business value of ITOps by evaluating the following: Usability. ITOps vs. AIOps.

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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. See the health of your big data resources at a glance. Azure Front Door.

Azure 148
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Mastering Hybrid Cloud Strategy

Scalegrid

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.

Strategy 130
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

I started working at a local payment processing company after graduation, where I built survival models to calculate lifetime value and experimented with them on our brand new big data stack. I was doing data science without realizing it. Data scientists can take on any aspect of an experimentation project.

Analytics 207
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

This includes collecting metrics, logs, and traces from all applications and infrastructure components. Log4Shell highlights the need for secure digital transformation with observability, vulnerability management – blog The Log4Shell vulnerability highlighted the importance of developing a secure digital transformation strategy.

Cloud 187