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Kubernetes for Big Data Workloads

Abhishek Tiwari

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 192
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Benchmarking the AWS Graviton2 with KeyDB

DZone

We've always been excited about Arm so when Amazon offered us early access to their new Arm-based instances we jumped at the chance to see what they could do. We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors.

AWS 130
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Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

The Morning Paper

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., ASPLOS’19.

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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. In fact, according to ScyllaDB’s performance benchmark report, their 99.9 So what are some of the reasons why users would pick ScyllaDB vs. Cassandra? So this type of performance has to come at a cost, right?

Big Data 187
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Why MySQL Could Be Slow With Large Tables

Percona

There are a couple of blog posts from Yves that describe and benchmark MySQL compression: Compression Options in MySQL (Part 1) Compression Options in MySQL (Part 2) Archive or purge old or non-used data: Some companies have to retain data for multiple years either for compliance or for business requirements.

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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Designing for Performance. High Performance Responsive Design.