Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 246

Infrastructure Open Source Operating System Cloud 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.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Scalegrid

FEBRUARY 8, 2024

Handling Large Volumes of Data Distributed storage systems employ the technique of data sharding or partitioning to handle immense quantities of information. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JUNE 28, 2024

Distributed Systems In distributed systems’ sprawling networks, RabbitMQ is the glue that holds disparate components together. In light of these diverse uses, RabbitMQ has emerged as something akin to common knowledge among organizations aiming to improve the performance and reliability of their distributed networks.

IoT 130

IoT Healthcare Programming Open Source 130

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. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JULY 19, 2021

If a cyber network agent has observed an unusual pattern of failed login attempts, it needs to alert downstream network nodes (servers and routers) to block the kill chain in a potential attack. The list goes on. The Limitations of Today’s Streaming Analytics. A New Approach: Real-Time Device Tracking.

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

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. Final words.

Architecture 12

Architecture Hardware Cache Storage 12

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

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. It’s an integral part of critical national infrastructure and phone systems in multiple countries around the world.

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. Yet this explosion of internet sites and the network protocols and APIs connecting them ended up creating the need for more programmers. All kinds of deep and powerful functionality was made available via simple APIs.

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. 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