Dynatrace

JANUARY 16, 2023

Open-source software drives a vibrant Kubernetes ecosystem. Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Java, Go, and Node.js

Open Source 337

Open Source Java Operating System Programming 337

Dynatrace

MARCH 24, 2023

Originally created by Google, Kubernetes was donated to the CNCF as an open source project. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Open Source.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

NOVEMBER 25, 2019

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. You can run both the free open source ScyllaDB and ScyllaDB Enterprise in the cloud or on-premise, and ScyllaDB Enterprise license starts at $28.8k/year Google Cloud. of all cloud deployments.

Big Data 187

Big Data Database Open Source Azure 187

Rigor

SEPTEMBER 11, 2019

Jake is a developer advocate at Google working with the Chrome team to develop and promote web standards and developer tools, as well as a contributor to the Chromium blog. Jake is a frequent speaker at many popular conferences and events, such as 100 Days of Google Dev , JAMstakConf , JSConf , SmashingConf , and dozens of others.

Performance 89

Performance Education Google Website 89

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. You can also use cloud and SaaS services such as Google BigQuery, Amazon Redshift Spectrum, Amazon Athena, Qubole to implement ELT approach.

Big Data 40

Big Data Retail Storage Google 40

Dynatrace

MAY 1, 2023

Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Why use a data lakehouse for causal AI? Why is ITOA important? Apache Spark.

Analytics 181

Analytics Artificial Intelligence Big Data Open Source 181