The Netflix TechBlog

JUNE 7, 2021

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. This leads to a more efficient and streamlined experience for users. This leads to a more efficient and streamlined experience for users. Instead, they interact with the applications that are hosted on Hyper-V.

Efficiency 213

Efficiency Virtualization Hardware Performance 213

Dynatrace

MARCH 27, 2024

This is the ability to see into and measure the current state of a system based on the data it generates, which typically includes logs, metrics, traces, end-user experiences, and context across cloud, multi-cloud, and hybrid environments. This blog originally appeared in Federal News Network. First, let’s discuss observability.

Government 159

Government Network Artificial Intelligence Cloud 159

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. When trying to address this challenge, your cloud architects will likely choose Amazon Data Firehose.

Cloud 251

Cloud Lambda AWS Analytics 251

DZone

AUGUST 18, 2023

We all know that data is being generated at an unprecedented rate. You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. What Are Edge Data Platforms? These platforms offer several advantages over traditional cloud computing.

IoT 130

IoT Media Latency Storage 130

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 187

Analytics Artificial Intelligence Big Data Open Source 187

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

DZone

AUGUST 10, 2022

It has been described as the protocol that “makes the Internet work” because it plays such an important role in allowing traffic to move quickly and efficiently. It has since expanded to also carry routes for VPNs, IPv6, Multicast, and a range of other data.

Network 130

Network Engineering Internet Internet 130

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. Broadcast variables can be used to efficiently distribute large read-only data structures, such as lookup tables, to worker nodes.

Big Data 161

Big Data Code Tuning Open Source 161

The Netflix TechBlog

APRIL 20, 2020

How Netflix brings safer and faster streaming experience to the living room on crowded networks using TLS 1.3 We want playback to start instantly and to never stop unexpectedly in any network environment. Confidentiality: Data sent over the channel is only visible to the endpoints. for streaming traffic.

Network 237

Network Media Transportation Traffic 237

Dynatrace

JULY 2, 2020

Large enterprise environments are often distributed across multiple data centers around the world. Unnecessary traffic between such data centers can result in wasted resources, unpredictable downtimes, and lost business. preventing unrelated traffic between data centers and regions. optimizing traffic routing.

Network 162

Network Traffic Tuning Infrastructure 162

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 214

Traffic AWS Network Cloud 214

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures. have adopted Kubernetes.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 226

Storage Government Network Infrastructure 226

High Scalability

JUNE 18, 2018

This is a guest post by Srushtika Neelakantam , Developer Advovate for Ably Realtime, a realtime data delivery platform. You can view the original article—H ow to implement consistent hashing efficiently —on Ably's blog. So, why can’t we use the same method for handling requests over the network?

Efficiency 172

Efficiency Programming Strategy Scalability 172

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 184

Analytics Java Infrastructure Cloud 184

DZone

FEBRUARY 2, 2024

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 195

IoT Artificial Intelligence Latency Internet 195

The Netflix TechBlog

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. What was your path to working in data? There’s us to the right!

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

FEBRUARY 1, 2024

The Infrastructure & Operations app provides a comprehensive overview for effective prioritization The new Infrastructure & Operations app provides situational awareness to help ops and SRE teams group and categorize problems efficiently based on their impact. This allows you to pinpoint troubled data centers at a glance.

Infrastructure 180

Infrastructure Metrics Network Monitoring 180

DZone

JULY 11, 2023

It involves the creation of algorithms and models that enable machines to perceive and interpret information, reason, make decisions, learn from data, and interact with their environment. AI encompasses various techniques, including machine learning, natural language processing , computer vision, and robotics.

Artificial Intelligence 109

Artificial Intelligence Healthcare Network Transportation 109

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

OCTOBER 10, 2023

EdgeConnect provides a secure bridge for SaaS-heavy companies like Dynatrace, which hosts numerous systems and data behind VPNs. EdgeConnect facilitates seamless interaction, ensuring data security and operational efficiency. Efficiency and control EdgeConnect boasts a range of features designed for efficiency and control.

Systems 219

Systems Efficiency Internet Internet 219

DZone

JANUARY 30, 2024

This article explores the role of CMDB in empowering IT infrastructure management, enhancing operational efficiency, and fostering strategic decision-making. These CIs include hardware, software, network devices, and other elements critical to an organization's IT operations.

Infrastructure 196

Infrastructure Hardware Database Network 196

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

DZone

JULY 12, 2023

In today's digital landscape, businesses heavily rely on content delivery networks (CDNs) to ensure efficient and reliable delivery of their web content to users across the globe. It involves monitoring and analyzing various metrics and data points to ensure the CDN functions as expected.

Infrastructure 244

Infrastructure Monitoring Website Performance Website 244

The Morning Paper

NOVEMBER 10, 2019

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. It implements reliability, congestion control, optional ordering, flow control, and execution of remote data access operations. SOSP’19.

Network 92

Network Transportation Latency Entertainment 92

Scalegrid

AUGUST 30, 2019

Redis , short for Remote Dictionary Server, is a BSD-licensed, open-source in-memory key-value data structure store written in C language by Salvatore Sanfillipo and was first released on May 10, 2009. Instead, Redis stores data in data structures which makes it very flexible to use. Data Structures in Redis.

Cache 232

Cache Ecommerce Social Media Database 232

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 126

Cache Performance Servers Social Media 126

The Morning Paper

JUNE 11, 2019

Beyond data and model parallelism for deep neural networks Jia et al., The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x SysML’2019. Expanding the search space.

Network 81

Network Strategy Hardware Benchmarking 81

Dynatrace

AUGUST 8, 2019

Smaller network and Dynatrace cluster storage footprint. So you’ll be able to save both on the size of Dynatrace disk space as well as on the associated network transfer footprint and time required to move the data. The new installer of OneAgent for Windows is also significantly smaller than before.

Efficiency 117

Efficiency Network Storage Architecture 117

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 186

Software Software Analytics Big Data 186

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. 5) in the Gartner report. 5) in the Gartner report.

Monitoring 225

Monitoring Artificial Intelligence Performance Analytics 225

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 Scalability Architecture 130