Curated articles, resources, tips and trends from the DevOps World.
Apache Spark is an open-source, distributed processing system commonly used for big data workloads. Spark application developers working in Amazon EMR, Amazon SageMaker, and AWS Glue often use third-party Apache Spark connectors that allow them to read and write the data with Amazon Redshift.
To identify potential security threats and vulnerabilities, customers should enable logging across their various resources and centralize these logs for easy access and use within analytics tools.
Most AWS analytics services have compelling serverless offerings that make it even easier for customers to analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure.
You’ve probably heard of service-level agreements (SLAs) and service-level objectives (SLOs) as their use within businesses that provide or consume services is prevalent. Most people think that SLAs and SLOs are the same, but they’re not.
For any business, the ability to adapt and innovate faster than the competition is critical and a continual improvement area.
It’s no secret that at Timescale, we’re fans of PostgreSQL — we offer high-performance PostgreSQL in the cloud.
An application typically needs three layers to run: a network, for connectivity; storage, to hold the information; and compute.
Grocery delivery startup Instacart recently switched Amazon Web Services‘ DynamoDB from the open source Postges database system, and the engineering team is now sharing the schema design that reduced the number of billable writes-per-transaction by over half.
Today, in uncertain times, lowering infrastructure costs while maintaining predictable performance at an unlimited scale is paramount. Recently, Aerospike and Amazon Web Services conducted a benchmark study to investigate improving price performance for real-time applications development.
November’s been a busy month, and we’ve got three new Docker Extensions for you to try! Docker Extensions build new functionality into Docker Desktop, extend its existing capabilities, and allow you to discover and integrate additional tools that you’re already using with Docker.
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