Tue.Mar 07, 2023

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11 Observability Tools You Should Know

DZone

When organizations move toward the cloud, their systems also lean toward distributed architectures. One of the most common examples is the adoption of microservices. However, this also creates new challenges when it comes to observability. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces.

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Introducing Percona Builds for Serverless PostgreSQL

Percona

Recently, “serverless” has become a buzzword, and for good reason. The goal is to simplify the provisioning and management of database capacity. One approach is to separate compute and storage to allow for independent scaling. We are thrilled to announce our collaboration with Neon ( Neon – Serverless, Fault-Tolerant, Branchable Postgres ) to provide a Serverless PostgreSQL that you can control and manage yourself.

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Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 161
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Data ingestion pipeline with Operation Management

The Netflix TechBlog

by Varun Sekhri , Meenakshi Jindal , Burak Bacioglu Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. Several of these algorithms aim to improve different manual workflows so that we show the personalized promotional image, trailer or the show to the user.

Media 264