The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Existing data got updated to be backward compatible without impacting the existing running production traffic.

Media 237

Media Traffic Processing Design 237

Dynatrace

AUGUST 28, 2023

IT teams spend months preparing for the peak traffic they anticipate will arrive with holiday shopping. How Dynatrace can help Recent platform innovations have made monitoring end-to-end business processes such as order fulfillment easier. (Though the three-second rule for page load time is often misinterpreted).

Retail 208

Retail Logistics Innovation Analytics 208

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? Setting up and monitoring these systems was pretty easy compared to today’s standards.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Containers can be replicated or deleted on the fly to meet varying end-user traffic. Built-in monitoring. Needs third party tools for monitoring. Needs third party tools for monitoring.

Open Source 307

Open Source Traffic DevOps Cloud 307

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. Cluster and container Log Analytics. End-user monitoring. Dynatrace news. Full-stack observability. End-to-end code-level tracing.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dotcom-Montior

MAY 12, 2020

Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring. HTTP monitoring allows you to test availability and performance from around the world. Database connectivity.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dynatrace

JULY 6, 2020

In addition to providing AI-powered full-stack monitoring capabilities , Dynatrace has long featured broad support for Azure Services and intuitive, native integration with extensions for using OneAgent on Azure. Azure Traffic Manager. Effortlessly optimize Azure database performance. Azure DB for PostgreSQL. Azure HDInsight.

Azure 150

Azure Cloud Big Data Virtualization 150

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. What is workload in cloud computing? Ultimately improving efficiency while minimizing errors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

High Scalability

JUNE 4, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Need excellent people? Advertise your job here! Fun and Informative Events.

Java 116

Java Metrics Software Engineering Traffic 116

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. tactical) in nature. When an upstream schema evolves (e.g.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

JANUARY 10, 2024

The results are saved to a database so they can be reused. During this time, we completed the migration of all necessary functionalities from Reloaded, began gradually shifting over traffic one use case at a time, and completed the switchover in September of 2023. 264, AV1, etc.).

Processing 229

Processing Media Latency Innovation 229

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

OCTOBER 19, 2020

Additionally, it became easy to provide deep links to different monitoring and deployment systems in Edgar due to consistent tagging. In 2019 our stunning colleagues in the Cloud Database Engineering (CDE) team benchmarked EBS performance for our use case and migrated existing clusters to use EBS Elastic volumes.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Smashing Magazine

AUGUST 3, 2023

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

Performance 74

Performance Cache Traffic Metrics 74

IO River

NOVEMBER 15, 2023

In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. ‍At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. You'll have logs and analytics scattered across different CDNs.

Traffic 52

Traffic Network Logistics Architecture 52

Dynatrace

MAY 28, 2020

Now, while we’ve been pushing these concepts in Keptn we haven’t explained well enough how to level-up your existing load testing scripts for better SLI monitoring and how to integrate them with Dynatrace in order to reap all the benefits of SLI-based Performance Analysis. A key concept in monitoring is proper tagging.

Engineering 195

Engineering Performance Metrics Best Practices 195

Dynatrace

APRIL 16, 2019

For more details, I suggest watching my latest YouTube Tutorial on Advanced Monitoring of AWS with Dynatrace. Dynatrace automatically pulls AWS tags for all monitored resources. Dynatrace monitors every single process which makes it easy to understand who consumes resources at what time. Are they receiving traffic? #3:

AWS 127

AWS Best Practices Database Traffic 127

IO River

NOVEMBER 2, 2023

In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. You'll have logs and analytics scattered across different CDNs.

Traffic 40

Traffic Network Logistics Architecture 40

Dynatrace

DECEMBER 8, 2020

With Dynatrace monitoring all your environments from pre-production to production, full visibility into hybrid enterprise cloud, Kubernetes, and every container and workload comes with zero configuration. Continuous visibility throughout the DevSecOps lifecycle.

Cloud 294

Cloud Open Source Internet Internet 294

All Things Distributed

JUNE 21, 2012

In the five months since it launched in January, DynamoDB , our fast and scalable NoSQL database service, has been setting AWS growth records. If we had chosen to use a more traditional database approach, we would still be in the process of designing the system for horizontal scalability in addition to negotiating license agreements.â??.

Games 142

Games Scalability AWS Database 142

Jos

JUNE 2, 2018

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

Performance 237

Performance Speed Google Media 237

High Scalability

APRIL 16, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Register for the webinar today. Learn more today.

Analytics 26

Analytics Java Metrics Software Engineering 26

High Scalability

APRIL 10, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Register for the webinar today. Learn more today.

Analytics 26

Analytics Java Metrics Software Engineering 26

High Scalability

MAY 14, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Register for the webinar today. Learn more today.

Analytics 24

Analytics Java Metrics Software Engineering 24

Dynatrace

SEPTEMBER 20, 2019

One is the currently-running production environment receiving all user traffic (let’s say the “blue” one), the other is a clone of it (“green”), but idle. Both use the same database back-end and app configuration. Once the testing results are successful, application traffic is routed from blue to green.

Systems 27

Systems Traffic DevOps Database 27

High Scalability

JUNE 27, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Metrics 23

Metrics Java Engineering Servers 23

High Scalability

OCTOBER 15, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. PA File Sight monitors file access on a server in real-time. Historical audit reports and real-time alerts are built-in. Try the 30-day free trial!

Education 22

Education Java Engineering Software Engineering 22

High Scalability

JULY 10, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Metrics 21

Metrics Java Engineering Servers 21

High Scalability

JULY 19, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Education 22

Education Metrics Engineering Java 22

High Scalability

AUGUST 20, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Education 22

Education Metrics Engineering Java 22

High Scalability

AUGUST 6, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Education 22

Education Metrics Engineering Java 22

High Scalability

SEPTEMBER 3, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Education 21

Education Metrics Engineering Java 21

High Scalability

OCTOBER 1, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Education 21

Education Metrics Engineering Java 21

High Scalability

SEPTEMBER 17, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. PA File Sight monitors file access on a server in real-time.

Education 21

Education Metrics Engineering Java 21