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Scaling for Success: Why Scalability Is the Forefront of Modern Applications

DZone

Scalability has become the biggest buzzword in the world of Modern Applications for a good reason. In short, it is the ability to handle more data, more users, and more demand without sacrificing performance, reliability, or security. It is not uncommon to question why scalability has grabbed the attention of the masses these days.

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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. In addition, we survey the current and emerging technologies and provide a few implementation tips. Towards Unified Big Data Processing.

Big Data 154
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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111
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What is container orchestration?

Dynatrace

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. Apache Mesos with the Marathon DC/OS is popular for large-scale production clusters running existing workloads on big data systems, such as Hadoop, Kafka, and Spark.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

So here is the list of 21 sessions on my “to attend” list (check the full agenda as you may be interested in another topics and technologies – and there many more great sessions there) – in the same random order they are in the list of sessions). Boris has unique expertise in that area – especially in Big Data applications.

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Data Engineers of Netflix?—?Interview with Dhevi Rajendran

The Netflix TechBlog

At Netflix, the work that data engineers do to produce data in a robust, scalable way is incredibly important to provide the best experience to our members as they interact with our service. The prospect was daunting at first. Looking back now, I’m incredibly grateful for the opportunity and glad that I took it.