OverOps

FEBRUARY 19, 2020

Below we outline common approaches to distributed tracing, the challenges these methods pose and how OverOps can help deliver greater insights when troubleshooting across microservices. The accelerated adoption of microservices and increasingly distributed systems brings the promise of greater speed, scalability and flexibility.

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System Microservices Weak Development Team How To 195

Accenture

APRIL 10, 2019

Microservices architecture has become popular over the last several years. Many organizations have seen significant improvements in critical metrics such as time to market, quality, and productivity as a result of implementing microservices. Recently, however, there has been a noticeable backlash against microservices.

Microservices 81

Microservices Technical Review Software Review Systems Review 81

Dzone - DevOps

APRIL 21, 2023

Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues. Microservice Architecture : Kong is designed to work with microservice architecture, providing a central point of control for API traffic and security.

Load Balancer 87

Load Balancer Microservices Authentication Architecture 87

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! It became clear to us that we needed to solve the scalability problem with a fundamentally different approach. OK, Results?

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Metrics Systems Review Storage Weak Development Team 115

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

CIO

NOVEMBER 3, 2022

Horizontal team members own the platforms to ensure their robustness, reliability, latency and scalability so engineers can be productive. They have full autonomy to decide whatever they want to do… to drive that goal, that mission and move that [business] metric in the way we expect.”

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CTO Coach Development .Net Coaching 246

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. First, what services, such as microservices or serverless, are available from the cloud service providers to facilitate migration?

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Cloud Technical Review Software Review Systems Review 289

Honeycomb

MARCH 28, 2023

The Twelve-Factor App methodology is a go-to guide for people building microservices. Defined by the teams at Heroku in 2011, twelve-factor is a methodology for building apps in an independent, scalable, and ultimately composable way in order to create a system that works together. These signals are known as logs, traces, and metrics.

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Systems Review Software Review Metrics Microservices 62

Apiumhub

OCTOBER 10, 2023

He is a software engineer, consultant, and author of “Continuous Delivery”, “Modern Software Engineering,” “CD Pipelines,” and “ Software Architecture Metrics. “ Farley is synonymous with being at the forefront of modern software development practices.

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Media Social Fractional CTO Software Engineering 85

TechCrunch

OCTOBER 7, 2021

Today a startup that’s built a scalable platform to manage that is announcing a big round of funding to continue its own scaling journey. The underlying large-scale metrics storage technology they built was eventually open sourced as M3.

Cloud 209

Cloud Sport Open Source Machine Learning 209

Netflix Tech

MARCH 7, 2024

Under the hood, Titus is powered by Kubernetes , but it provides a thick layer of enhancements over off-the-shelf Kubernetes, to make it more observable , secure , scalable , and cost-efficient. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance.

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System Machine Learning Artificial Inteligence Training 90

Netflix Tech

OCTOBER 19, 2020

Distributed Tracing: the missing context in troubleshooting services at scale Prior to Edgar, our engineers had to sift through a mountain of metadata and logs pulled from various Netflix microservices in order to understand a specific streaming failure experienced by any of our members. Trace Instrumentation: how will it impact our service?

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

Daniel Bryant

SEPTEMBER 16, 2022

Most successful organizations base their goals on improving some or all of the DORA or Accelerate metrics. DORA metrics are used by DevOps teams to measure their performance and find out whether they are “low performers” to “elite performers.” You want to maximize your deployment frequency while minimizing the other metrics.

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Load Balancer Cloud Continuous Delivery Microservices 95

Netflix Tech

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

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Network IPv6 Transportation AWS 130

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.

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Comparison Testing Metrics Analysis 135

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

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. Microservices vs Monolithic architecture.

Engineering 76

Engineering Microservices Case Study Architecture 76

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

Altexsoft

FEBRUARY 11, 2020

Scalable and flexible. TheHive is a scalable incident response platform that you can use for case and alert management. It features dynamic dashboards for tracking metrics of cases, recording response progress, and automating response tasks. Scalable and flexible. OwlH is a scalable, network intrusion detection system.

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Tools Linux Analysis Open Source 109

Kentik

JUNE 21, 2021

Cloud migrations, microservices architectures, third-party services, and business growth, among other factors, are causing an increase in the number of VPCs deployed — and increasing the need for cloud network visibility. Transit Gateways are critical for scalable VPC interconnectivity. data centers, offices, branches, etc.).

How To 82

How To WAN Construction Network 82

Agile Engine

FEBRUARY 13, 2024

Better scalability The ability to handle an increased volume of test cases or adapt to changes in the application architecture is a distinct advantage of automated testing. Measures reliability, speed, scalability, and responsiveness. Done right, automated tests remain stable, efficient, and effective even as projects grow.

Testing 52

Testing Strategy Software Review How To 52

Apiumhub

JULY 7, 2020

If you remember my article about Software Architecture Quality Attributes , you know that we have been conducting a survey to find out key software architecture metrics that leading companies and software architects use. So, let’s analyze software architecture metrics that got mentioned on the survey to build scalable projects. .

Metrics 94

Metrics Architecture Research Software 94

OverOps

DECEMBER 18, 2018

Java 11 introduced the Z Garbage Collector (ZGC), a new JDK garbage collector designed for low latency and high scalability. Metrics, logging, monitoring, and reliability. The Z Garbage Collector. Erik Österlund of the HotSpot Garbage Collection team at Oracle, is a contributor to the ZGC project. Functional Programming with Effects.

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Conference Serverless Weak Development Team DevOps 185

Apiumhub

JANUARY 26, 2021

What are the key software architecture metrics? Instead of concerning about the size of something (microservices), concern ourselves with what we can handle on our intellectual control, or like Team topologies mentions: software that fits in our brain, a team first approach. What is your opinion about Elasticity vs Scalability ?

Architecture 52

Architecture Trends Software Sustainability 52

Apiumhub

MARCH 9, 2023

Working with an outsourcing partner can help mitigate the risks associated with your project, such as underestimating timescales and lack of scalability. Apiumhub is a software partner with years of experience applying best practices that help technical teams deliver robust, scalable, and better-performing working software on time.

Software Review 76

Software Review Technical Review Software Software Development 76

Netflix Tech

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We wanted the to tool be available as a standalone library as well as scalable API service. which allows fast deployment times and rapid scalability.

Testing 65

Testing Training Continuous Integration AWS 65

CircleCI

NOVEMBER 18, 2021

But as the demands on software teams continue to grow, it has become apparent that adding more staff is not a scalable solution. Systems have multiplied their components in the industry-wide shift to containers and microservices. What was once a rarity in the field is quickly becoming a requisite in the modern IT environment.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

Kentik

OCTOBER 12, 2021

Increased HTTPS traffic made it difficult for routers to provide insights beyond traditional NetFlow v5 metrics. With more applications natively built in the cloud, the increased use of containers and microservices has fundamentally changed the visibility and flow of network traffic. NPM tools are becoming commoditized.

WAN 84

WAN Technical Review Network Internet 84

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. JVM metrics. What can we do to identify the OOMKilled issue?

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Microservices Software Review Resources Metrics 130

Kentik

FEBRUARY 6, 2017

With our cloud-, container-, and microservices-friendly NPM host agent, key network performance metrics are pervasively and contextually measured from packet capture and integrated into the time series with data from the rest of your infrastructure. Among our highlights in 2016: Our annual recurring revenue grew nearly 6x.

Metrics 40

Metrics Analytics Network Microservices 40

RapidValue

AUGUST 12, 2020

In our previous blog , we had discussed the key Agile metrics that businesses use to optimize their product development processes. This added with the scalability, flexibility, and increased ROI explains how the Agile framework succeeds in offering a competitive advantage.

Agile 129

Agile Development SCRUM Software Review 129

Netflix Tech

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. We call this system Cosmos. VMAF and SSIM ).

Microservices 68

Microservices Video Metrics Media 68

OverOps

DECEMBER 18, 2018

Java 11 introduced the Z Garbage Collector (ZGC), a new JDK garbage collector designed for low latency and high scalability. Metrics, logging, monitoring, and reliability. The Z Garbage Collector. Erik Österlund of the HotSpot Garbage Collection team at Oracle, is a contributor to the ZGC project. Functional Programming with Effects.

Conference 100

Conference Serverless Weak Development Team DevOps 100

Apiumhub

OCTOBER 17, 2018

More metrics and less pain by Modesto San Juan. We should act based on metrics, not our feelings or other concepts. Rich metrics. Collecting data with prometheus and showing the results on grafana is an excellent combination to know the metrics of your project. Microservices vs Monolithic architecture.

Software Review 40

Software Review Case Study Metrics Conference 40

Mobilunity

SEPTEMBER 28, 2021

While cross-platform support, agility, and scalability are a must for modern solutions, a vast number of businesses still tend to run on outdated software, aka legacy software, for decades. In turn, it helped to increase the scalability of projects and made them more flexible. That’s when the legacy system modernization comes to light.

Applications 52

Applications Technical Review Software Review Systems Review 52

d2iq

FEBRUARY 19, 2021

Machine learning engineers are typically responsible for ML models in production environments, dealing with web services, latency, scalability, and handling most of the automation around ML. Unit and integration tests are pretty standard for data pipelines and microservices. Kubernetes (K8s) is an obvious choice.

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Artificial Inteligence Machine Learning Technical Review Software Review 103

Modus Create

MAY 18, 2020

Looking at the existing Java solutions to build microservices and cloud native applications, we can see examples like Spring Boot with Spring Cloud, Wildfly Tornthail and Dropwizard. So far the metrics collected by the Quarkus community about memory usage and time for the first request has been more than satisfactory.

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Serverless Operating System Cloud Applications 75