Scaling CPU-intensive Backends - The Backend Engineering Show

In this episode, I’d like to discuss the methods of scaling CPU-bound or intensive workloads on the backend. This show will discuss the scaling of the workload on a single machine taking full advantage effectively of all its resources, then we will discuss horizontal scalability to multiple machines.

• 0:00 Intro
• 1:00 What do I mean by Scaling
• 3:20 CPU-Intensive/Bound Workload
• 6:00 Effective Scaling CPU-Bound Backends in Single Machine
• 12:00 How Hyperthreading can be useful
• 15:00 Horizontally Scale to multiple Machines

#developer

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Consult with experts:- https://bit.ly/2WlYvA7

#hire backend developers india #backend developers #backend development company #backend development services #backend development #backend

Scaling CPU-intensive Backends - The Backend Engineering Show

In this episode, I’d like to discuss the methods of scaling CPU-bound or intensive workloads on the backend. This show will discuss the scaling of the workload on a single machine taking full advantage effectively of all its resources, then we will discuss horizontal scalability to multiple machines.

• 0:00 Intro
• 1:00 What do I mean by Scaling
• 3:20 CPU-Intensive/Bound Workload
• 6:00 Effective Scaling CPU-Bound Backends in Single Machine
• 12:00 How Hyperthreading can be useful
• 15:00 Horizontally Scale to multiple Machines

#developer

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10 Must-have Skills for Data Engineering Jobs

Big data skills are crucial to land up data engineering job roles. From designing, creating, building, and maintaining data pipelines to collating raw data from various sources and ensuring performance optimization, data engineering professionals carry a plethora of tasks. They are expected to know about big data frameworks, databases, building data infrastructure, containers, and more. It is also important that they have hands-on exposure to tools such as Scala, Hadoop, HPCC, Storm, Cloudera, Rapidminer, SPSS, SAS, Excel, R, Python, Docker, Kubernetes, MapReduce, Pig, and to name a few.

Here, we list some of the important skills that one should possess to build a successful career in big data.

1. Database Tools

2. Data Transformation Tools

3. Data Ingestion Tools

4. Data Mining Tools

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