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! Hence, we started down the path of alert evaluation via real-time streaming metrics. Data expressions define what data needs to be sourced in order to evaluate a query.

Metrics 115

Metrics Systems Review Storage Weak Development Team 115

Netflix Tech

MARCH 7, 2024

Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance. The user can choose the most suitable tool for manipulating data, such as Pandas or Polars to use a dataframe API, or one of our internal C++ libraries for various high-performance operations. ETL workflows), as well as downstream (e.g.

System 90

System Machine Learning Artificial Inteligence Training 90

Kentik

JANUARY 31, 2023

Identifying Key Performance Indicators (KPIs) The first step toward comprehensive network observability is identifying your key performance indicators. Network monitoring tools use various techniques for data gathering, including polling, collecting metrics from network devices, and scraping traffic logs.

Network 105

Network Analysis Data Center Metrics 105

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

Daniel Bryant

SEPTEMBER 16, 2022

It’s on the hot path of every user request, and because of this, it needs to be performant, secure, and easily configurable. Most successful organizations base their goals on improving some or all of the DORA or Accelerate metrics. You want to maximize your deployment frequency while minimizing the other metrics.

Load Balancer 95

Load Balancer Cloud Continuous Delivery Microservices 95

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. In the snippet above, we’re accessing the detail key for the video object with id 80154610.

Microservices 93

Microservices Video Software Review Metrics 93

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. The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration.

Comparison 135

Comparison Testing Metrics Analysis 135

CircleCI

JANUARY 24, 2022

It is a system and process that helps build confidence in cloud-native applications by providing visibility into how they perform in all components, not just one or two. 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.

Software Development 52

Software Development Software Development Metrics 52

Apiumhub

NOVEMBER 30, 2022

There were numerous topics covered in this online event, and in this article, I would like to go through a few of the sessions in the junior track, such as Composable Microfrontends, React Hooks, TDD with User Interfaces, and Web Performance. Web Performance is more important than you think – Hemanth Udupi.

UI/UX 87

UI/UX Technical Review Software Review TDD 87

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. query_annotation_id = honeycombio_query_annotation.k8s-pod-cpu-and-memory-query.id } }.

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. query_annotation_id = honeycombio_query_annotation.k8s-pod-cpu-and-memory-query.id } }.

Metrics 52

Metrics Infrastructure Resources Applications 52

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

Daniel Bryant

OCTOBER 24, 2018

In order to effectively build cloud native microservices applications, your engineering organization has to adopt a culture of decentralized decision-making to move faster. We will also be examining the consequences of implementation (both good and bad), and provide examples using popular cloud native tools.

Microservices 40

Microservices System Weak Development Team Engineering 40

Kentik

JUNE 6, 2023

APIs are complex, particularly if you run lots of microservices. Monitoring your API lets you identify bottlenecks, spot performance drops, and maintain availability, all essential to ensuring a quality experience for your end users. API monitoring is simply the process of keeping tabs on the performance of your APIs.

Metrics 52

Metrics Testing Policies Linux 52

OverOps

MARCH 26, 2019

Those serious errors have a direct influence on performance failures and slowdowns, thus directly impacting the company’s bottom line. Problems with a high likelihood of crashing an application or causing serious performance issues clearly contribute to technical debt. Of those, about 10% are serious. TRILLION in 2018.

Technical Review 214

Technical Review Report Weak Development Team Software Review 214

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

CircleCI

MAY 21, 2020

I often get other software architects saying “What about performance?” However, if we optimise our architecture for change (evolvability), when we discover a performance issue or a security vulnerability we can change our system to help address it. Illustration 2: Software environment metrics. or “What about security?”.

Architecture 122

Architecture Weak Development Team Metrics Culture 122

The Citus Data

SEPTEMBER 22, 2023

load_balance_hosts=random" Copy pg_stat_io in a distributed Citus cluster To optimize the performance of your database workloads, it's crucial to grasp how your I/O operations affect your system. The coordinator is in port 9700 in this example. release that is compatible with Postgres 16 as quickly as possible after PG16 came out.

Load Balancer 117

Load Balancer Azure Testing Storage 117

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. which is difficult when troubleshooting distributed systems.

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

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 65

Software DevOps Architecture Blockchain 65

Netlify

JULY 14, 2021

That’s why when it came to improving the experience on their own website, Medallia looked towards Netlify to provide the performance their customers expect, and the seamless development workflows their developers need. The Challenge: Seamlessly Migrate from WordPress to Netlify to Improve Performance and Ease of Deployment.

Performance 52

Performance Architecture Web Development Marketing 52

Apiumhub

MAY 27, 2021

Due to the actual microservices server paradigm & server costs corresponding to resource’s consumption, Quarkus is a framework that caught my attention some years ago, as it solves JVM language problems on these concerns. In this article you will find Quarkus GraalVM examples and explanation. Simple example. Quarkus project.

Software Review 52

Software Review Microservices Software Development Applications 52

Kentik

DECEMBER 5, 2016

The ability of Kentik Detect to offer cloud-friendly network performance monitoring — Kentik NPM — was key to the recognition we earned. In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application.

Network 40

Network Performance Metrics Software Review 40

Apiumhub

NOVEMBER 8, 2018

In these open spaces, we discussed very interesting topics like “feature branches vs. continuous integration”, “ monoliths vs microservices “, “how to manage diversity in our workplace”, Also, we shared the disastrous experiences we have had in production. We perform the experiment.

Engineering 76

Engineering Microservices Case Study Architecture 76

Honeycomb

DECEMBER 20, 2021

From hands-on workshops, to feature breakdowns, to workflow integrations, Honeycomb Developer Week helps you quickly uplevel your ability to locate any application performance issue—no matter how complex, hidden, or hard to find. Honeycomb Metrics. But metrics can still be incredibly useful at the system level.

Development 52

Development Metrics Exercises Enterprise 52

Kentik

SEPTEMBER 20, 2016

Network Performance Monitoring with Kentik Detect and nProbe. In the era of digital business, network performance is a critical aspect of keeping customers, subscribers, partners, and users happy. It’s up to IT and network engineering groups to address performance, but to do so they need effective ways to measure and monitor.

Network 40

Network Performance Metrics Transportation 40

CircleCI

SEPTEMBER 22, 2021

Microservice architecture. In microservice architecture, developers build an application as a collection of discrete services (modules) with an efficient communication protocol binding them together. In a microservice, this means breaking down your application into its constituent services. Distributed systems best practices.

Systems Review 59

Systems Review System Microservices SOA 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.

WAN 59

WAN Enterprise Data Center Internet 59

Netflix Tech

NOVEMBER 14, 2023

Many metrics in Netflix’s financial reports are powered and reconciled with efforts from our team! Add alerts to flag when late arriving data appears, block the pipelines, and perform a manual intervention where we triggered backfill pipelines to handle the missed events. Given our role on this critical path, accuracy is paramount.

Data Engineering 105

Data Engineering Engineering Data Systems Review 105

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. Selecting the right metrics. For example, by how much is the modernization project expected to reduce your IT costs? Data security, too, can be a crucial business metric.

Azure 52

Azure Metrics Test-Driven Development Applications 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. For example, using this method with Honeycomb, the team was able to fix a Git checkout quickly and easily. Enthusiasm increased.

System 59

System Company Part-Time VPE Microservices 59

Honeycomb

JANUARY 13, 2023

This session also addresses example technologies used to build cloud-native apps, such as containers, service meshes, microservices, and immutable infrastructure. We’ll discuss why sampled events are better than the traditional method of pre-aggregated metrics, brought to life through a demo of Refinery, Honeycomb’s sampling solution.

DevOps 98

DevOps Culture Microservices Engineering 98

Perficient

FEBRUARY 13, 2024

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. A microservice can locate and connect with other microservices only when it is published on an R&D server.

Microservices 105

Microservices Architecture Load Balancer MVC 105

Agile Engine

FEBRUARY 13, 2024

Why automation testing is better than manual QA for most projects Manual testing involves step-by-step checks performed by QA teams according to test plans that are custom-tailored to specific products. Focuses on replicating user behaviors and assessing system performance. Measures reliability, speed, scalability, and responsiveness.

Testing 52

Testing Strategy Software Review How To 52

Xebia

FEBRUARY 20, 2023

The project involved decommissioning an extensive monolith Scala application into smaller microservices. The team used the Strangler Fig pattern to decommission the legacy system gradually in new Scala and modern microservices running in Kubernetes. Example of service helm chart: # {prod,stage}_values.yaml.

Microservices 130

Microservices Software Review Resources Metrics 130

Kentik

OCTOBER 12, 2021

It’s interesting to observe how encryption and network performance monitoring (NPM) have evolved over time. The changes have forced vendors to evolve their tools in order to keep NetOps teams informed on how applications are performing for the end users. Consider SD-WAN as another example of DoH causing problems. What is NPM?

WAN 84

WAN Technical Review Network Internet 84

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 also work through some practical examples like Continuous Integration and Disaster Recovery scenarios. MicroService Applications In Kubernetes. Database Essentials. Essentials .

Linux 60

Linux Course Cloud Google Cloud 60