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Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. According to a 2021 survey from ManageEngine — the IT division of Zoho — 80% of U.S.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Kubernetes advantages The 2021 Annual Survey by the Cloud Native Computing Foundation (CNCF) shows that 96 percent of organizations are already using or at least evaluating Kubernetes. It enables DevOps and site reliability engineer (SRE) teams to automate deployments, updates, and rollbacks.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

Altexsoft

To help her, Banon developed a search engine for her recipe collection. This endeavor would unwittingly plant the seeds for Elasticsearch, a technology that today drives data search and analytics for businesses around the globe. It is developed in Java and built upon the highly reputable Apache Lucene library.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications. Learn more about the good and the bad of Kubernetes in our dedicated article. It proves invaluable for developers of varying experience levels.

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The Good and the Bad of Docker Containers

Altexsoft

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. million monthly active developers sharing 13.7 Docker registries.

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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

According to a 2020 survey by MicroStrategy , 47 percent of organizations have already moved their analytics platform into the cloud, while another 42 percent have a hybrid cloud/on-premises analytics solution. More and more companies are running their business intelligence and analytics workloads in the cloud. Conclusion.

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Software Engineering Daily: Feature Flags with Edith Harbaugh

LaunchDarkly

. “We’re very laser-focused on making the developer extremely successful and happy and comfortable, comfortable that we’re reliable, comfortable that we’re scalable, comfortable that we can handle their load. ’ That’s very liberating to the developer. ’ That’s very liberating to the developer.