Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

JUNE 20, 2024

To address this, we propose developing an intelligent agent that can automatically discover, map, and query all data within an enterprise. This “Enterprise Data Model/Architect Agent” employs generative AI techniques for autonomous enterprise data modeling and architecture.

Data Engineering 204

Data Engineering Engineering Entertainment Software Engineering 204

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Architecture Scalability 130

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Grail addresses today’s challenges of big data and cloud everywhere: Grail is highly scalable, cost-effective, and super-fast.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

APRIL 20, 2023

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations.

Analytics 201

Analytics Infrastructure Storage Architecture 201

The Netflix TechBlog

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Meson was based on a single leader architecture with high availability.

Java 208

Java Scalability Traffic Architecture 208

The Netflix TechBlog

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

Infrastructure 223

Infrastructure Big Data Transportation Architecture 223

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Hybrid cloud combines an on-premises or private data center with public cloud infrastructure. What is cloud monitoring?

Cloud 234

Cloud Monitoring Best Practices Infrastructure 234

The Netflix TechBlog

JUNE 7, 2021

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?

Network 326

Network Transportation AWS Cloud 326

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 344

Traffic Latency Tuning Systems 344

Dynatrace

JANUARY 16, 2023

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.

Open Source 351

Open Source Java Operating System Programming 351

Adrian Cockcroft

NOVEMBER 18, 2024

Discover data sources to gain insights into your resource efficiency and environmental impact, including the AWS Customer Carbon Footprint Tool and proxy metrics from the AWS Cost & Usage Reports. This lightning talk explores how companies can cut costs and carbon emissions through architectural best practices and workload optimization.

AWS 98

AWS Energy Lambda Government 98

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations.

IoT 78

IoT Big Data Analytics Architecture 78

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 199

Infrastructure Open Source Operating System Cloud 199

The Netflix TechBlog

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. Backfill: Backfilling datasets is a common operation in big data processing. append, overwrite, etc.).

Processing 215

Processing Big Data Efficiency Engineering 215

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Latency 249

Latency Storage Big Data Tuning 249

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 100

Education AWS Software Engineering Scalability 100

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. Challenges for Current Architectures.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. 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. About application transparency.

Latency 52

Latency Hardware Cache Architecture 52

All Things Distributed

DECEMBER 8, 2016

Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Access to secure, scalable, low-cost AWS infrastructure in Canada allows customers to innovate and provide tools to meet privacy, sovereignty, and compliance requirements. Scalability.

AWS 145

AWS Cloud Lambda Innovation 145

The Morning Paper

JUNE 23, 2019

The stateless + RInk (S+RInK) architecture attempts to provide the best of both worlds: to simultaneously offer both the implementation and operational simplicity of stateless application servers and the performance benefits of servers caching state in RAM. We’ve seen similar high marshalling overheads in big data systems too.)

Cache 79

Cache Latency Google Network 79

All Things Distributed

JULY 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. There are sessions in many different categories: Architecture, Big Data, HPC, Computer & Networking, Storage, Databases, Security, Tools & Languages, Media Sharing & Content Delivery, Managing AWS Resources, Enterprise IT, Mobile, Start-up, and more.

AWS 75

AWS Big Data Media Storage 75

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 209

Storage Latency Efficiency Data Engineering 209

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Driving down the cost of Big-Data analytics.

Technology 142

Technology Technology AWS Storage 142

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 117

Cloud Energy AWS Healthcare 117

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

AUGUST 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. This team is constantly rethinking the assumptions behind how traditional databases were built and constantly working on building the right database architectures suited for the Cloud environment. Driving down the cost of Big-Data analytics.

AWS 70

AWS Database Storage Scalability 70

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. All Things Distributed. Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. Comments ().

AWS 130

AWS Programming Latency Architecture 130

All Things Distributed

MARCH 28, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The scalability, reliability and durability requirements for Cloud Drive are very high which is why they decided to make use of the Amazon Simple Storage Service (S3) as the core component of their service. Driving down the cost of Big-Data analytics.

AWS 131

AWS Cloud Storage Internet 131

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Comments ().

AWS 64

AWS Cloud Benchmarking Storage 64