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Moving HPC to the Cloud: A Guide for 2020

High Scalability

This is a guest post by Limor Maayan-Wainstein , a senior technical writer with 10 years of experience writing about cybersecurity, big data, cloud computing, web development, and more. High performance computing (HPC) enables you to solve complex problems which cannot be solved by regular computing. What Is HPC?

Cloud 261
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture.

Cloud 180
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Scaling for Success: Why Scalability Is the Forefront of Modern Applications

DZone

In short, it is the ability to handle more data, more users, and more demand without sacrificing performance, reliability, or security. The reason is straightforward, today, applications generate enormous amounts of data. It is not uncommon to question why scalability has grabbed the attention of the masses these days.

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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. Performance.

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

Dynatrace

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. What is software automation?

Software 180
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Snowflake Workload Optimization

DZone

In the era of big data, efficient data management and query performance are critical for organizations that want to get the best operational performance from their data investments.

Big Data 130
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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Effortlessly optimize Azure database performance.

Azure 145