CIO

SEPTEMBER 8, 2023

To address these issues, J&J launched Advance Case Management (ACM), a digitally integrated system that simplifies pre-surgery processes by utilizing case schedules and patient data. The data includes patient biometric information such as height, weight, age, and gender. Models are retrained approximately once per business quarter.

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Artificial Inteligence Healthcare Weak Development Team Machine Learning 263

Gorilla Logic

JUNE 16, 2020

If you want to develop microservices or backend applications in Java and make use of innovative and new technologies while also reducing coding effort, speeding development time, and producing a more resilient application, you should consider using Jakarta EE and MicroProfile. MicroProfile optimizes Enterprise Java for microservices. .

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Microservices How To Metrics Applications 74

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.

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Microservices Technical Review Software Review Systems Review 81

Netflix Tech

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 105

Data Engineering Engineering Data Systems Review 105

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

OverOps

MAY 15, 2019

Before you know it, you might find yourself preparing to transition a massive, complex monolith application to Microservices and realize that you have no idea where to start and there’s no one left at the company that knows how the foundational code of the software works. Microservices to the rescue? Or in other words….

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Microservices Weak Development Team How To Architecture 273

Dzone - DevOps

APRIL 21, 2023

The Kong API Gateway helps regulate who can access the services and data that are managed behind it. It ensures data security by allowing only authorized users and apps to access the data. Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues.

Load Balancer 87

Load Balancer Microservices Authentication Architecture 87

DevOps.com

DECEMBER 6, 2022

Organizations are increasingly using distributed tracing to monitor their complex, microservice-based architectures. Distributed tracing has become essential in microservice applications, cloud-native and distributed systems. The post A History of Distributed Tracing appeared first on DevOps.com.

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Microservices Serverless Architecture Applications 130

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.

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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. Pablo Del Giudice, cloudops and cybersecurity studio partner, Globant Globant Data requirements is another area that needs careful planning.

Cloud 312

Cloud Technical Review Software Review Systems Review 312

Honeycomb

MARCH 22, 2023

“ Dear Miss O11y, I want to make my microservices more observable. I’ll add metrics soon, but I’m not really sure if there is a set path you follow. Is there a beginner’s guide to observability of some sort, or best practice, like you have to have x kinds of metrics? Currently, I only have logs.

Applications 52

Applications Metrics Microservices How To 52

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

Dzone - DevOps

FEBRUARY 16, 2023

Now, we are moving toward microservices architecture, where applications are divided into multiple independently deployable services. To make the system observable, some logs, metrics, or traces must be emitted from the code, and this data must be sent to an observability back end.

Microservices 65

Microservices Architecture Metrics Applications 65

DevOps.com

APRIL 2, 2020

Built on top of rich distributed tracing data, metrics, and logs, the platform provides a unified view of telemetry data making it the quickest way to know what’s changed in system and service health SAN FRANCISCO, April 2, 2020 — Lightstep, the leading provider of observability software for organizations adopting microservices and serverless, (..)

Serverless 93

Serverless Microservices Metrics Software 93

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

Dzone - DevOps

JUNE 30, 2022

Observability combines monitoring, alerting, and logging with metrics visualization and its analysis. Today, containers and microservices are emerging as the cornerstone of a flexible hybrid cloud strategy. Here, in this blog, we’ve discussed three important tools to implement Kubernetes Observability. Let’s take a look!

Tools 74

Tools Microservices Data Center Metrics 74

Honeycomb

MARCH 28, 2023

The Twelve-Factor App methodology is a go-to guide for people building microservices. Don’t make operators of your service (whether that’s you or another team) think about anything other than a stream of data. These signals are known as logs, traces, and metrics. ” The intent here is very clear.

Systems Review 63

Systems Review Software Review Metrics Microservices 63

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

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

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

OverOps

JULY 1, 2019

Continuous Reliability NOUN The notion of balancing speed, complexity and quality by taking a continuous, proactive approach to reliability across the software delivery life cycle through data-driven quality gates and feedback loops. Continuous Reliability is dependent on two core capabilities: data collection and data analysis.

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Weak Development Team Artificial Inteligence How To Analysis 250

Battery Ventures

MARCH 10, 2021

Over the last decade, almost every function in the enterprise has seen an uplift in productivity thanks to transformations from data-driven, AI enabled analytics tools. These tools allowed teams to start measuring what once was hidden , allowing them to act based on data rather than on gut. This is great. Git-based systems (e.g.,

Engineering 64

Engineering Data Software Engineering Software Development 64

CircleCI

JANUARY 24, 2022

Observability encompasses software components themselves and the data traveling between them. By monitoring data at each point it is collected and stored, developers get a complete picture of what is happening within an environment — even when multiple technologies are involved. Having access to monitoring data can be powerful.

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Software Development Software Development Metrics 52

Netflix Tech

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. 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. What is BPF?

Network 130

Network IPv6 Transportation AWS 130

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

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

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

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

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

Honeycomb

JULY 12, 2022

Dig into your Cloudfront data. Bringing your Cloudfront logs into Honeycomb is super easy to turn on, and it’s enlightening to look at that data and find out when content is loading slowly for your customers. The post What Are Some Useful Things to Look for Right Away When You Get Data into Honeycomb? Randall Koutnik, Jellyfish.

Data 52

Data AWS Microservices Comparison 52

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 87

UI/UX Technical Review Software Review TDD 87

TechCrunch

FEBRUARY 4, 2022

The latest data on the cloud market makes it plain why – cloud is big business, software-market equity repricings aside. She told me earlier today that “edtech is always in search of a magic metric, one that encompasses outcomes, engagement and, heck, even fun. In short, it’s turning discrete banking services into microservices.

Banking 209

Banking Fintech Hotels Survey 209

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. Creating dashboards that matter.

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. Creating dashboards that matter.

Metrics 52

Metrics Infrastructure Resources Applications 52

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

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