Dynatrace

SEPTEMBER 30, 2021

Many cloud providers offer a shared security model of data security and compliance in which the cloud provider bears the responsibility for securing the underlying infrastructure, and the customer is responsible for the security of their data, code, and related workloads. Many also adopt more than one cloud platform to meet different needs.

Cloud 163

Cloud Traffic Best Practices Strategy 163

The Netflix TechBlog

SEPTEMBER 3, 2021

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. How can we achieve a similar functionality when designing our gRPC APIs? This generated code contains classes for defined messages, together with message and field descriptors.

Design 245

Design Java Efficiency Code 245

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 45

IoT Ecommerce Analytics Latency 45

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 40

IoT Ecommerce Analytics Latency 40

Testsigma

AUGUST 24, 2020

If products are not designed, keeping testability in mind, achieving continuous testing may become a distant dream. With in-house tools/frameworks, you have the benefit of code-ownership. Testability should be part of the low-level design for the product. Not always! Include Testability from Beginning: i.

Testing 69

Testing Open Source Scalability Latency 69

ScaleOut Software

APRIL 6, 2021

It also deploys real-time digital twin models to the in-memory data grid, which hosts instances of digital twins (one per data source) and runs application-defined code to process incoming messages. This console hosts the graphical user interface that is securely accessed by remote workstations within an organization.

IoT 52

IoT Azure Analytics Healthcare 52

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility.

Cache 130

Cache Storage Scalability Architecture 130

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. We can determine A/B test membership in either device application or backend code and selectively invoke new code paths and services.

Traffic 279

Traffic Metrics Systems Strategy 279

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. Local development tools including specialized test runners, code generators, and a command line interface. Productivity?—?Local Delivery?—?A

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

FEBRUARY 9, 2021

Plus, the architecture of the Edge tier was evolving to a PaaS (platform as a service) model, and we had some tough decisions to make about how, and where, to handle identity token handling. The system architecture now takes the form of: Notice that tokens never traverse past the Edge gateway / EAS boundary. We are serving over 2.5

Architecture 221

Architecture Latency Servers Website 221

Abhishek Tiwari

DECEMBER 25, 2017

Conduit Architecture. When you add a microservice to Conduit service mesh it creates a data plane proxy which is deployed as sidecar container alongside your microservice code. Conduit CLI is designed to work in conjunction with kubectl whenever possible. kubectl version --short. Install Conduit CLI. conduit/bin.

Traffic 40

Traffic Latency Google Servers 40

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs. Let’s take a deeper look at the architecture, protocols, and systems involved.

Engineering 142

Engineering Scalability Architecture Innovation 142

The Netflix TechBlog

AUGUST 29, 2023

Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments. To improve availability, we designed systems where components could fail separately and avoid single points of failure. There is a downside to fetching this data on-demand: this adds latency to the first request to a cluster.

Traffic 220

Traffic Latency Cloud C++ 220

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., Strict serializability reduces application code complexity and bugs, since it behaves like a system that is running on a single machine processing transactions sequentially. That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in.

Latency 70

Latency Processing Benchmarking Systems 70

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. The architects and developers who create the software must design it to be observed. Dynatrace news. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

High Scalability

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. They are very expensive.

Internet 121

Internet Internet Scalability Automotive 121

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. The incremental processing solution (IPS) described here has been designed to address the above problems. There is no change to business transform logic and no re-design of ETL workflow.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

FEBRUARY 9, 2021

Before designing a solution it’s important to understand the main product requirements for such a feature: The content needs to be new, relevant, and regional (not all countries have the same catalogue). To reduce latency, assets should be generated in an offline fashion and not in real time. First, the fields can be coded by hand.

Engineering 165

Engineering Storage Latency Entertainment 165

The Morning Paper

FEBRUARY 6, 2020

’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access.

Lambda 98

Lambda Serverless Cache Latency 98

The Netflix TechBlog

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos.

Storage 187

Storage Design Scalability Latency 187

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper. Why do we need a new reference architecture? Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

The Netflix TechBlog

MARCH 13, 2020

The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency. SVT-AV1 codebase status The SVT-AV1 repository includes both an AV1 encoder and decoder, which share a significant amount of the code.

Open Source 154

Open Source Efficiency C++ Speed 154

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand.

Network 92

Network Transportation Latency Entertainment 92

Alex Russell

FEBRUARY 3, 2023

They understood that most websites lack tight latency budgeting, dedicated performance teams, hawkish management reviews, ship gates to prevent regressions, and end-to-end measurements of critical user journeys. SSR is vital because SPAs take a long time to start up, and you aren't using our vapourware to split your code effectively.

Social Media 119

Social Media Website Technology Technology 119

Percona

JULY 17, 2023

Instead of the table-based structure of relational databases, MongoDB stores data in documents and collections, a design for handling large amounts of unstructured data and for real-time web applications. Organizations have access to the source code, allowing them to make changes and enhancements as needed. It ranks No.

Open Source 77

Open Source Database Scalability Software 77

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167

Database Lambda AWS IoT 167

High Scalability

SEPTEMBER 8, 2018

RISELabs , those wonderfully innovative folks over at Berkeley, have uplifted their Anna datatabase —a shared-nothing, thread-per-core architecture to achieve lightning-fast speeds by avoiding all coordination mechanisms—to become cloud-aware. Anna Code: fluent-project/fluent. What's changed ? Related Articles.

Storage 199

Storage Performance AWS Efficiency 199

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. After all, in the HTTP case, we open a direct socket connection from the client to the server, the server executes its code, and then returns a response on the already-open socket.

Benchmarking 97

Benchmarking Latency Servers Systems 97