Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 246

Infrastructure Cloud Azure AWS 246

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

SEPTEMBER 9, 2019

I love data. I have spent virtually my entire career looking at data. Synthetic data, network data, system data, and the list goes on. As much as I love data, data is cold, it lacks emotion. I still love data, but I am starting to love emotion-filled data. Dynatrace news.

Big Data 210

Big Data Metrics Virtualization Network 210

DZone

FEBRUARY 6, 2024

If the data sources are not available then customized plugins can be developed to integrate these data sources. Grafana is used widely these days to monitor and visualize the metrics for 100s or 1000s of servers, Kubernetes Platforms, Virtual Machines, Big Data Platforms, etc.

Big Data 173

Big Data Open Source Virtualization Metrics 173

Dynatrace

OCTOBER 25, 2022

“AIOps platforms address IT leaders’ need for operations support by combining big data and machine learning functionality to analyze the ever-increasing volume, variety and velocity of data generated by IT in response to digital transformation.” – Gartner Market Guide for AIOps platforms.

DevOps 246

DevOps Big Data Cloud Innovation 246

The Netflix TechBlog

JUNE 7, 2021

Berkeley Packet Filter (BPF) is an in-kernel execution engine that processes a virtual instruction set, and has been extended as eBPF for providing a safe way to extend kernel functionality. What is BPF? In some ways, eBPF does to the kernel what JavaScript does to websites: it allows all sorts of new applications to be created.

Network 327

Network Transportation AWS Cloud 327

Dynatrace

SEPTEMBER 15, 2020

Supported technologies include cloud services, big data, databases, OS, containers, and application runtimes like the JVM. Akamas is an on-premises product and simply needs one virtual machine to get started. Q3: Is Akamas a SaaS offering or on-premise?

Performance 260

Performance Java Metrics Cloud 260

Dynatrace

MARCH 24, 2023

Using Marathon, its data center operating system (DC/OS) plugin, Mesos becomes a full container orchestration environment that, like Kubernetes and Docker Swarm, discovers services, balances loads, and manages application containers. Mesos also supports other orchestration engines, including Kubernetes and Docker Swarm.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

MARCH 14, 2022

Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. During the early months of the COVID-19 pandemic, this trend was undeniably apparent.

Healthcare 246

Healthcare Artificial Intelligence Innovation Strategy 246

Scalegrid

FEBRUARY 8, 2024

Within Amazon S3’s offerings are features like metadata tagging, different classes of data movement and storage options, configuring control over access permissions, and ensuring safety against disasters through data replication mechanisms.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JUNE 28, 2024

Flexible Routing Imagine a system for delivering mail that meticulously sorts letters based on their content – this is what RabbitMQ achieves in the virtual world through its adept routing methods, precisely funneling messages to their intended destinations. Can RabbitMQ handle the high-throughput needs of big data applications?

IoT 130

IoT Healthcare Programming Open Source 130

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT 78

IoT Big Data Analytics Architecture 78

All Things Distributed

AUGUST 16, 2011

Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Several agencies of very different parts of the government have needs for data analytics that really put the Big in Big-Data, sometimes several orders of magnitude larger than commonly found in industry.

AWS 90

AWS Government Big Data Cloud 90

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Within the hybrid framework, this involves determining optimal locations for various categories of applications and data.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

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. There is a strong argument for ELT i.e. extract, load, and transform model. Classic ETL.

Big Data 40

Big Data Retail Storage Google 40

All Things Distributed

DECEMBER 20, 2017

Take the example of industrial manufacturing: in prototyping, drafts for technologically complex products are no longer physically produced; rather, their characteristics can be tested in a purely virtual fashion at every location across the globe by using simulations. The German startup SimScale makes use of this trend.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70

CSS - Tricks

OCTOBER 7, 2021

You can’t just sort the 20 rows you can see, it is expected that the entire data set gets sorted. Of course that’s handled in KendoReact’s Data Grid component. Or, if pagination isn’t your thing, the data grid offers virtualized scrolling — in both the column and row directions. Filtering Data.

Big Data 60

Big Data C++ Virtualization Design 60

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

VoltDB

MARCH 13, 2024

In the age of big-data-turned-massive-data, maintaining high availability , aka ultra-reliability, aka ‘uptime’, has become “paramount”, to use a ChatGPT word.

Availability 52

Availability Latency DevOps Systems 52

O'Reilly

FEBRUARY 4, 2025

Big data, web services, and cloud computing established a kind of internet operating system. And once again, the complexity was hidden behind frameworks, function libraries, and APIs that insulated programmers from having to know as much about the low level functionality that it was essential for them to learn only a few years before.

Programming 145

Programming Google Infrastructure Internet 145

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future. These new offerings are organized on platforms or networks, and less so in processes.

Artificial Intelligence 68

Artificial Intelligence Technology Technology IoT 68

The Netflix TechBlog

OCTOBER 14, 2024

Overview At Netflix, the Analytics and Developer Experience organization, part of the Data Platform, offers a product called Workbench. Workbench is a remote development workspace based on Titus that allows data practitioners to work with big data and machine learning use cases at scale.

Latency 214

Latency Virtualization Traffic Processing 214