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. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 327

Network Transportation AWS Cloud 327

Dynatrace

JULY 6, 2022

IT admins can automate virtually any time-consuming task that requires regular application. As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Dynatrace

OCTOBER 25, 2022

But advancements in modern AIOps and cloud automation are now bringing NoOps within reach. Or is it just a passing cloud? Early implementations of NoOps were just ‘lift and shift’ efforts that replicated existing systems to the cloud. NoOps through modern AIOps for hybrid and multi-cloud environments. What is NoOps?

DevOps 246

DevOps Big Data Cloud Innovation 246

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 260

Performance Java Metrics Cloud 260

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

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

Scalegrid

FEBRUARY 8, 2024

Real-World Use Cases of Distributed Storage Distributed storage systems are the backbone of massively scalable storage services, designed to serve both cloud-based and on-premises environments. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

AUGUST 16, 2011

Expanding the Cloud - The AWS GovCloud (US) Region. This new region, which is located on the West Coast of the US, helps US government agencies and contractors move more of their workloads to the cloud by implementing a number of US government-specific regulatory requirements. Cloud First. Cloud Firstâ?? Cloud Readyâ??;

AWS 90

AWS Government Big Data Cloud 90

Scalegrid

JUNE 28, 2024

As an open-source message broker, RabbitMQ delivers a robust platform that allows intricate systems to easily interchange data, even when their environments and languages differ significantly. 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

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70

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. There is no capacity planning needed.

Big Data 40

Big Data Retail Storage Google 40

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. In the first phase, CXL memory should be transparent to applications without requiring changes, especially in public cloud environments.

Latency 52

Latency Hardware Cache Architecture 52

O'Reilly

FEBRUARY 4, 2025

Big data, web services, and cloud computing established a kind of internet operating system. And this doesnt even include the plethora of AI models, their APIs, and their cloud infrastructure. We’re doing the same thing with AI right now. And its already out of date! This is not the end of programming.

Programming 145

Programming Google Infrastructure Internet 145