The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 234

Processing Media Latency Innovation 234

Dynatrace

NOVEMBER 30, 2022

Complexity and data volume for IT infrastructure soars to new heights. The volume of data and events grows in tandem with the rising complexity of IT infrastructure. Monitoring modern IT infrastructure is difficult, sometimes impossible, without advanced network monitoring tools. How SNMP traps help detect problems.

Network 235

Network Infrastructure Metrics Monitoring 235

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Both methods allow you to ingest and process raw data and metrics. The ADS-B protocol differs significantly from web technologies.

IoT 224

IoT Analytics Transportation Metrics 224

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 236

Latency Storage Traffic Tuning 236

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 269

Data Engineering Engineering Processing Games 269

CSS Wizardry

FEBRUARY 25, 2021

This, of course, is exacerbated by the new Vitals announcement, whereby data from the Chrome User eXperience Report will be used to aid and influence rankings. The data is static which isn’t necessarily a drawback until it is—DevTools allows us to work far more quickly and interactively, responding to changes and tweaks as we make them.

Network 242

Network Mobile Performance Traffic 242

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 169

Government Network Artificial Intelligence Cloud 169

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. This article will explore what edge data platforms and real-time services are, why they are important, and how they can be used.

IoT 130

IoT Media Latency Storage 130

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 223

Analytics Metrics Media Monitoring 223

DZone

JULY 31, 2024

My name is Maksim Kupriianov, and for the past few years, I have been actively involved in network monitoring. The probes are sent and the results are analyzed continuously, with new data coming in every second. During this process, local anomalies often arise.

Network 162

Network Analytics Servers Monitoring 162

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 automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 201

Analytics Artificial Intelligence Big Data Open Source 201

DZone

MARCH 27, 2023

Apache Spark is an open-source distributed computing system designed for large-scale data processing. Spark provides a unified framework for processing and analyzing large datasets across distributed computing clusters.

Network 189

Network Open Source Programming Design 189

Dynatrace

OCTOBER 17, 2024

The newly introduced Network devices and Details view within Hosts provide comprehensive health status information, relevant networking signals, and machine metrics—all analyzed and provided by the industry-leading combination of Dynatrace Grail™ data lakehouse and Davis ® AI.

Infrastructure 218

Infrastructure Network DevOps Metrics 218

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 263

Cloud Lambda AWS Analytics 263

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

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 227

Traffic AWS Network Cloud 227

VoltDB

APRIL 25, 2024

To move as fast as they can at scale while protecting mission-critical data, more and more organizations are investing in private 5G networks, also known as private cellular networks or just “private 5G” (not to be confused with virtual private networks, which are something totally different). billion in 2022.

Network 52

Network IoT Wireless Infrastructure 52

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 240

Storage Government Network Monitoring 240

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. For example, to broadcast a lookup table named lookup_table :

Big Data 173

Big Data Code Tuning Open Source 173

Dynatrace

AUGUST 8, 2024

It’s also critical to have a strategy in place to address these outages, including both documented remediation processes and an observability platform to help you proactively identify and resolve issues to minimize customer and business impact. This can result from improperly configured backups, corrupted data, or insufficient testing.

Software 261

Software Software Infrastructure Network 261

DZone

FEBRUARY 8, 2022

Quality metrics contain: The ratio of successfully processed requests. Distribution of processing time between requests. Any service provider tries to reach several metrics in their activity. One group of these metrics is service quality. Number of requests dependent curves.

Network 246

Network Hardware Metrics Processing 246

DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 150

Data Engineering Infrastructure Code Engineering 150

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.

Java 198

Java Analytics Infrastructure Cloud 198

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

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. Authenticated Encryption For encryption, TLS 1.3

Network 242

Network Media Transportation Traffic 242

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 209

Storage Latency Efficiency Data Engineering 209

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 183

Metrics Monitoring Database Network 183

All Things Distributed

JANUARY 20, 2020

Amazon's worldwide financial operations team has the incredible task of tracking all of that data (think petabytes). At Amazon's scale, a miscalculated metric, like cost per unit, or delayed data can have a huge impact (think millions of dollars). The team is constantly looking for ways to get more accurate data, faster.

Big Data 200

Big Data Logistics Retail Government 200

Dynatrace

SEPTEMBER 5, 2024

Understanding that the first mile of getting data in can often be the hardest, Dynatrace continues to invest in log ingest, offering a range of out-of-the-box solutions within the Dynatrace Platform and apps. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Minimized cross-data center network traffic.

Availability 256

Availability Hardware Latency Traffic 256

Scalegrid

SEPTEMBER 5, 2024

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. The primary server is responsible for handling all write operations and maintaining data accuracy.

Availability 257

Availability Servers Database Open Source 257

VoltDB

AUGUST 8, 2024

quintillion bytes of data are generated each day, enterprises have more data under their control than ever before. Unfortunately, many organizations lack the tools, infrastructure, and architecture needed to unlock the full value of that data. What are the benefits of a real-time data platform? In a world where 2.5

IoT 52

IoT Latency Traffic Logistics 52

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

Metrics 225

Metrics Network Monitoring Infrastructure 225

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. Specifically, pystan uses asyncio.

Latency 211

Latency Virtualization Traffic Processing 211

Dynatrace

JUNE 10, 2024

Security analytics combines data collection, aggregation, and analysis to search for and identify potential threats. Using a combination of historical data and information collected in real time, security teams can detect threats earlier in the SDLC. Why is security analytics important? This offers two advantages for compliance.

Analytics 244

Analytics Network Open Source Hardware 244