DZone

FEBRUARY 6, 2024

Grafana is an open-source tool to visualize the metrics and logs from different data sources. If the data sources are not available then customized plugins can be developed to integrate these data sources. What Is Grafana?

Big Data 161

Big Data Open Source Virtualization Metrics 161

Dynatrace

JANUARY 16, 2023

Open-source software drives a vibrant Kubernetes ecosystem. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Kubernetes hosting decisions are guided by a set of parameters, including cost, ease of provisioning and scaling, data security, and regulatory compliance.

Open Source 347

Open Source Java Operating System Programming 347

Abhishek Tiwari

DECEMBER 27, 2017

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. Key challenges. Performance.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dynatrace

MARCH 24, 2023

Originally created by Google, Kubernetes was donated to the CNCF as an open source project. Originally developed as a research project at the University of California, Berkeley, in 2009, Mesos launched formally as a mature product in 2016 under the auspices of the Apache Software Foundation, a decentralized open source community.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Azure Virtual Network Gateways. Azure Batch.

Azure 150

Azure Cloud Big Data Virtualization 150

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. This type of analysis is greatly eased by open source tools such RStudio, Jupyter, Zeppelin along with scripting languages R and Python.

Big Data 40

Big Data Retail Storage Google 40