Netflix Tech

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data.

Metrics 115

Metrics Systems Review Storage Weak Development Team 115

CIO

NOVEMBER 29, 2023

If you choose not to use a cloud provider’s native services in order to remain agnostic, you lose many of the ‘better, cheaper, faster’ business case metrics,” says Holcombe. For example, Amazon’s EC2 substrate does the same thing as Google’s GCP, but an application running on EC2 won’t run on GCP without a lot of expensive rework.

Cloud 312

Cloud Technical Review Software Review Systems Review 312

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90

System Machine Learning Artificial Inteligence Training 90

CIO

NOVEMBER 3, 2022

Vertical teams, meanwhile, operate across the tech stack so teams aren’t localised to certain operating systems, orchestration or data layers. These cross-functional teams, including product support, UX and data, offer differing levels of expertise across both front and back-end infrastructure.

CTO Coach 246

CTO Coach Development .Net Coaching 246

Netflix Tech

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. Background The Netflix Android app uses the falcor data model and query protocol.

Microservices 93

Microservices Video Software Review Metrics 93

TechCrunch

OCTOBER 12, 2020

And you don’t build an in-house data center team. Throw in microservices and one can wind up with a big muddle, and an even bigger bill. Yotascale reported 4x year-over-year annual recurring revenue (ARR) growth at some point this year, though Razzaq was diffident about sharing specifics concerning the metric.

Cloud 250

Cloud Company Azure Google Cloud 250

TechCrunch

OCTOBER 7, 2021

Data observability — necessary to keep tabs on infrastructure performing as it should; to see if apps are returning errors; and to ensure that critical business data is getting to where it needs to go — is becoming an evermore complicated task as organizations’ cloud-native data demands and data usage grow.

Cloud 209

Cloud Sport Open Source Machine Learning 209

Kentik

JANUARY 31, 2023

And once you have that raw telemetry data, you need to interpret it. We’ll look at how, by combining DevOps observability data with network telemetry, you can get strong, network-focused observability. After identifying and categorizing the relevant KPIs, you need to gather data about these KPIs. are not always easy to answer.

Network 105

Network Analysis Data Center Metrics 105

Netflix Tech

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Data 77

Data Microservices Transportation Systems Review 77

CircleCI

JANUARY 24, 2022

Observability encompasses software components themselves and the data traveling between them. For example, developers can use observability to determine when an application performance issue occurs and pinpoint specific areas of code or instances where it happens. Having access to monitoring data can be powerful.

Software Development 52

Software Development Software Development Metrics 52

Honeycomb

JUNE 9, 2023

Kubernetes helps teams of all sizes optimize their microservices architecture by enabling seamless automated containerized app deployment, easy scalability, and efficient operations. In addition, as FireHydrant’s app grew over time, the team adopted more microservices, and it needed a way to orchestrate them.

Metrics 98

Metrics Microservices Scalability Engineering 98

Netflix Tech

MAY 4, 2023

The backend for the streaming product utilizes a highly distributed microservices architecture; hence these migrations also happen at different points of the service call graph. It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores.

Comparison 135

Comparison Testing Metrics Analysis 135

CircleCI

MAY 21, 2020

When you start building a new system, consider the following: Favour languages, libraries, and approaches that allow you to parse the data you need from larger more complex structures. Don’t consider static modelling in isolation If you build a data, component or class model in isolation you often focus on the wrong attributes.

Architecture 122

Architecture Weak Development Team Metrics Culture 122

Honeycomb

AUGUST 29, 2022

Dashboards then become formulaic reflections of these preformed notions: performance is defined by nines rather than by user experience, latency in parts of the application hides behind unintuitive metrics like p90, and error rates become noise. For example, you might want to monitor your Kubernetes cluster hosting your online boutique.

Metrics 52

Metrics Infrastructure Resources Applications 52

Honeycomb

AUGUST 29, 2022

Dashboards then become formulaic reflections of these preformed notions: performance is defined by nines rather than by user experience, latency in parts of the application hides behind unintuitive metrics like p90, and error rates become noise. For example, you might want to monitor your Kubernetes cluster hosting your online boutique.

Metrics 52

Metrics Infrastructure Resources Applications 52

Netflix Tech

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Traces collected from various microservices are ingested in a stream processing manner into the data store. Stream Processing: to sample or not to sample trace data?

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

Apiumhub

NOVEMBER 30, 2022

This platform provides a set of technologies to build, deploy, run, and manage applications developed by composing together components (micro frontends, microservices, UI/UX elements, etc.) The Performance API is a set of standards that measure and analyze various performance metrics. and business capabilities. getEntriesByName().

UI/UX 88

UI/UX Technical Review Software Review TDD 88

The Citus Data

SEPTEMBER 22, 2023

My Microsoft colleague Melanie Plageman added a new view called pg_stat_io to PostgreSQL 16, which shows essential I/O metrics for in-depth examination of I/O access patterns. With the added PG16 support in Citus, you can inspect these monitoring metrics from the coordinator for all the nodes in your distributed cluster.

Load Balancer 117

Load Balancer Azure Testing Storage 117

CloudGeometry

MARCH 3, 2022

Billing events and unit metrics The variable cost model of cloud platforms has forever changed how compute resources are bought and paid for and consumed. This is known as a unit metric. The key economic touchstone in monetization is settling on a unit metric driven by value from the customer’s perspective.

Metrics 130

Metrics Architecture Cloud Strategy 130

Kentik

JUNE 6, 2023

APIs are complex, particularly if you run lots of microservices. We’ll go over how to glean metrics and enable reporting and alerts, as well as what you need to look for in a monitoring tool in general. You can monitor their status and collect metrics like response time and resource consumption, just to name a few.

Metrics 52

Metrics Testing Policies Linux 52

Apiumhub

SEPTEMBER 14, 2022

This edition is still in the making and you can still submit your CFP, we are preparing our Talk about Christian Ciceri’s chapter of the book “ Software Architecture Metrics ”: Private Builds and Metrics: Tools for Surviving DevOps Transitions. Geekle events are always huge! <React Global> Online Summit (November 8-9).

Software 66

Software DevOps Architecture Blockchain 66

Netflix Tech

FEBRUARY 3, 2021

This framework was initially intended to be internal only, focusing on integration with the Netflix ecosystem for tracing, logging, metrics, etc. Comprehensive documentation is available on the website but let’s walk through an example to show you how easy it is to use this framework. Let’s start with a simple schema.

Open Source 98

Open Source Software Review Architecture Technical Review 98

Perficient

NOVEMBER 21, 2023

Microservices-Friendly: Spring Boot facilitates the development of microservices architecture, allowing for the creation of independently deployable and scalable services. Production-Ready: With built-in health checks, metrics, and monitoring features, Spring Boot applications are ready for production deployment.

Microservices 52

Microservices Applications Development Web Development 52

OTS Solutions

MAY 2, 2023

It enables businesses to store, access, and process data remotely via the Internet. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes. It is a network of interconnected devices that can communicate and exchange data with each other.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Honeycomb

DECEMBER 20, 2021

Attendees had the opportunity to learn via plenty of hands-on exercises, from sending trace data to Honeycomb using OpenTelemetry, to identifying performance issues using Honeycomb features. . By seamlessly integrating tracing into Honeycomb, you can find the right data you need, exactly when you need it. All in under 10 minutes.

Development 52

Development Metrics Exercises Enterprise 52

Honeycomb

MARCH 1, 2023

You can compare tiny differences between multiple traces coming through your microservices-based applications every day to pinpoint areas that are affecting performance. Through instrumenting your code, users can parse large amounts of high-cardinality data that can then be further parsed and analyzed at extremely granular levels.

System 59

System Company Part-Time VPE Microservices 59

Kentik

JUNE 14, 2023

An engineer standing in front of a console today stares at the traffic moving from their on-prem data center up and out to a CASB, receiving DNS responses from a cloud-provided DNS service, and then on through an ephemeral microservices architecture in a public cloud. And this, of course, is just to reach the front end. Cloud to cloud.

WAN 59

WAN Enterprise Data Center Internet 59

Hu's Place - HitachiVantara

JANUARY 10, 2019

I will cover our strategy for utilizing it in our products and provide some example of how it is utilized to enable the Smart Data Center. Hitachi’s developers are reimagining core systems as microservices, building APIs using modern RESTful architectures, and taking advantage of robust, off-the-shelf API management platforms.

Data Center 73

Data Center Strategy Data Storage 73

Exadel

MARCH 10, 2020

The server side can also consist of clusters (data centers) in order to increase a system’s fail-operational capability. It is also important to detect when services are not available (for example when a service is compulsorily terminated or health checking isn’t operational). We can even choose metrics for monitoring containers. .

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Datavail

APRIL 6, 2022

For example, refreshing your.NET applications makes it much easier to adopt modern IT best practices such as cloud computing and microservices. This could include changes to the database’s software, architecture, data schema, or security practices. Selecting the right metrics.

Azure 52

Azure Metrics Test-Driven Development Applications 52

CircleCI

SEPTEMBER 22, 2021

In past years, when application developers wanted their application to process large data sets, they built mainframe-based applications. This diversity created a further strain on inter-application interaction and data sharing. The UI and business logic must closely couple with the database server for smooth access to data.

Systems Review 59

Systems Review System Microservices SOA 59

OverOps

MARCH 26, 2019

Herb Krasner, the author of the report on the cost of poor software quality, defined the term more narrowly as, “a forward-looking metric that represents the effort required to fix problems that remain in the code when an application is released.” This is the biggest chunk of our maintenance costs at about 50%. So What Can We Do?

Technical Review 214

Technical Review Report Weak Development Team Software Review 214

Honeycomb

JANUARY 13, 2023

In this inaugural Authors’ Cut blog, we discuss your observability journey by exploring the fundamental technical requirements needed for capturing high-cardinality and high-dimensionality data. In addition, we also cover leading-edge practices such as chaos engineering, feature flagging, and other forms of progressive delivery.

DevOps 98

DevOps Culture Microservices Engineering 98

LaunchDarkly

SEPTEMBER 13, 2018

And it supports like an extensible set of metric services and judges and cloud platforms and everything else. So internally, Netflix canaries, lots of different things, not just microservices, I think, like binary pushes to microservices are the dominant use case, but it’s not the only use case inside of Google.

Analysis 58

Analysis Metrics Performance Microservices 58

Linux Academy

JUNE 25, 2019

We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. We will install some popular database systems available on Linux and work with data in those systems. MicroService Applications In Kubernetes. Big Data Essentials. Database Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

Honeycomb

MARCH 1, 2022

The promise of OpenTelemetry is that it can help you avoid vendor lock-in by allowing you to instrument your applications once, then send that data to any backend of your choice. This post shows you exactly how to do that with code samples that configure your application to send telemetry data to both Honeycomb and New Relic.

Open Source 83

Open Source Applications Tools Microservices 83

Honeycomb

OCTOBER 19, 2021

Application telemetry (such as tracing, metrics, and logs) is necessary to better understand and debug application performance. Now, when we run our traced app and hit our endpoint, we see some lovely trace data in Honeycomb UI. Now, let’s say that you want to send your data somewhere other than Honeycomb. node -r tracing.js

Open Source 59

Open Source Metrics Applications Microservices 59