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

Dynatrace

JULY 6, 2022

IT admins can automate virtually any time-consuming task that requires regular application. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools. What is IT automation? Batch process automation.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Scalegrid

FEBRUARY 8, 2024

Consequently, if any node happens to fail, the remaining ones provide continued access to the saved information without risking service interruptions or permanent data loss. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 25, 2022

This meant there were still operations, only they were performed by someone else! AIOps , a term coined by Gartner in 2016, combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.

DevOps 222

DevOps Big Data Cloud Innovation 222

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 347

Open Source Java Operating System Programming 347

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

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 191

Infrastructure Open Source Operating System Cloud 191

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. 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.

Network 325

Network Transportation AWS Cloud 325

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 232

Healthcare Artificial Intelligence Innovation Strategy 232

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 Analytics Big Data Architecture 78

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. To maximize performance benefits, a thorough understanding of individual data objects (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

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. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. Different audience. Challenges.

Big Data 40

Big Data Retail Storage Google 40

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 59

Big Data C++ Virtualization Design 59

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 79

Artificial Intelligence Social Media Logistics AWS 79

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. Only parts of the processes are being performed by machines, or at least supported by them.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

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. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12