Confluent

AUGUST 1, 2019

At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system. At the core of each shared state microservice we built was a Kafka Streams instance with a rather simple processing topology.

Microservices 20

Microservices Systems Review System Software Review 20

TechCrunch

OCTOBER 12, 2020

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. That’s the problem that Yotascale wants to attack.

Cloud 250

Cloud Company Azure Google Cloud 250

Datavail

OCTOBER 5, 2021

If you’re in the technology field and you live on planet earth, you’ve probably heard the term “microservices” thrown around. The purpose of this article will be to give you a familiarity with microservices and what it (not “they”) does. Microservices. Microservices is not just a buzzword. It’s almost become a buzzword.

Microservices 81

Microservices eCommerce Architecture Applications 81

Netflix Tech

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Some examples: Why is title X not showing on the Coming Soon row for a particular member?

Systems Review 68

Systems Review Microservices Scalability Technical Review 68

Newgen Software

NOVEMBER 9, 2022

For example, each time we listen […]. The post API Testing Automation – Benefits, Metrics, and how to use for Microservices appeared first on Newgen. Applications talk to each other using intermediary software, an API, or an Application Programming Interface. Digital Process Automation: Top 6 Benefits.

Microservices 59

Microservices Metrics Testing How To 59

Honeycomb

NOVEMBER 6, 2024

Distributed tracing provides a high-level overview of how different services interact, helping teams understand the flow and performance of requests across microservices. Traces can replace application logs for debugging, and they can replace application metrics for monitoring. For example, a log could be integrated into a trace.

Compliance 72

Compliance Applications System Performance 72

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

FEBRUARY 9, 2022

This is the first in a series of blogs discussing unified observability with microservices and the Oracle database. Future pieces in this series will go into more depth on details of specific use case scenarios and ways to optimally observe and troubleshoot them. that I will also be building upon over time.

Microservices 98

Microservices Metrics Examples Data 98

Netflix Tech

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. Cosmos is a computing platform for workflow-driven, media-centric microservices.

Microservices 71

Microservices Video Metrics Media 71

Honeycomb

NOVEMBER 25, 2024

Honeycomb’s SLOs allow teams to define, measure, and manage reliability based on real user impact, rather than relying on traditional system metrics like CPU or memory usage. Instead, they consolidate logs, metrics, and traces into a unified workflow. For OneFootball, this shift was transformative.

Continuous Delivery 59

Continuous Delivery Metrics Engineering Fractional CTO 59

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. .

Microservices 74

Microservices How To Metrics Applications 74

Xebia

DECEMBER 9, 2023

Underlying technology of Chaos Studio for Azure Kubernetes Service is the opens source platform Chaos Mesh We started with deploying a microservice application on to AKS. When you inject chaos in to your infrastructure, you quickly come to realize that you need metrics. Without metrics, you are blind.

Innovation 130

Innovation Azure Microservices IoT 130

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. That means scaling horizontally, which involves a complex distributed system with a custom microservice architecture. And that leads us to metrics. Health checks and series metrics. 4-amd64 x86_64 [go version go1.5

Metrics 40

Metrics Microservices Linux Architecture 40

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 Resources Software Review Metrics 130

Xebia

SEPTEMBER 30, 2021

Consumer lag is the most important metric to monitor when working with event streams. However, it is not available as a default metric in Azure Insights. Want to have this metric available as part of your monitoring solution? Alternatively, alert the application failing its health check or the consumer lag metric being missing.

Azure 130

Azure Metrics Groups Microservices 130

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

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

Microservices 76

Microservices Weak Development Team Artificial Inteligence Machine Learning 76

TechCrunch

OCTOBER 7, 2021

In yet one more example of how the most promising companies are fundraising with increasing frequency these days, General Atlantic, Addition’s Lee Fixel, Greylock and Lux Capital all backed Chronosphere in its Series B, which was only nine months ago, in January of this year.

Cloud 209

Cloud Sport Open Source Artificial Inteligence 209

OverOps

AUGUST 14, 2018

This especially becomes a stress point with the introduction of microservices. The uncaught and swallowed exceptions, for example. We can help developers troubleshoot more quickly, give metric and insight to DevOps to gauge the overall quality of software and fuel some new AIOps initiative.

Data 189

Data How To Metrics Artificial Inteligence 189

Honeycomb

NOVEMBER 17, 2023

The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. Observability starts by collecting system telemetry data, such as logs, metrics, and traces.

Metrics 126

Metrics Software Review Analysis Technical Review 126

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 96

Microservices Video Software Review Testing 96

CIO

JUNE 7, 2022

This person is tasked with packing the ML model into a container and deploying to production — usually as a microservice,” says Dattaraj Rao, innovation and R&D architect at technology services company Persistent Systems. Data scientists may build the ML models, but its ML engineers who implement them.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

Netflix Tech

SEPTEMBER 23, 2019

This means that our microservices constantly evolve and change, but what doesn’t change is our responsibility to provide a highly available service that delivers 100+ million hours of daily streaming to our subscribers. Two such assumptions were that: Regional demand for all microservices (i.e. requests, messages, connections, etc.)

Microservices 76

Microservices Systems Review Metrics Software Review 76

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 118

Metrics Systems Review Storage Weak Development Team 118

Netflix Tech

FEBRUARY 14, 2025

Analyzing impression history, for example, might help determine how well a specific row on the home page is functioning or assess the effectiveness of a merchandising strategy. We accomplish this by gathering detailed column-level metrics that offer insights into the state and quality of each impression.

Systems Review 66

Systems Review Technical Review Data Metrics 66

Apiumhub

SEPTEMBER 17, 2023

Through constructive examples and patterns, this book shows you how to create documentation and diagrams that actually get the message across to the different audiences you’ll face. In this practical book, leading hands-on software architects share case studies to introduce metrics that every software architect should know.

Architecture 93

Architecture Software Review Software Weak Development Team 93

Honeycomb

SEPTEMBER 8, 2021

Enterprise customers already have access to Honeycomb Metrics. Existing Free or Pro customers can request an Enterprise trial to try Honeycomb Metrics. Starting today, Honeycomb Metrics is now generally available to all Enterprise customers. But metrics do still provide value at the systems level.

Metrics 52

Metrics Systems Review Software Review Enterprise 52

CircleCI

MAY 21, 2020

microservices, event streaming, modular monolith) Domain Driven Development (DDD) and Event Storming are very useful in determining the boundaries of deployment units. Illustration 2: Software environment metrics. The illustration above gives some metrics and techniques that can provide feedback at that level.

Architecture 122

Architecture Weak Development Team Metrics Culture 122

CIO

SEPTEMBER 8, 2023

As an example, Swanson points to total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures. ACM also includes a robust portal that offers case analytics around product utilization, surgery metrics, upcoming case schedules, case details, and templating insights.

Artificial Inteligence 158

Artificial Inteligence Weak Development Team Healthcare Machine Learning 158

TechCrunch

AUGUST 19, 2022

Today, Godot claims some 1,500 contributors, and is considered one of the world’s top open source projects by various metrics. Elsewhere, other open source projects such as Kubernetes are powering enterprise adoption of microservices and container technologies. ” Support and services.

Open Source 251

Open Source Games Technical Cofounder Engineering 251

Dzone - DevOps

MARCH 7, 2023

One of the most common examples is the adoption of microservices. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces. When organizations move toward the cloud, their systems also lean toward distributed architectures.

Tools 75

Tools Microservices Metrics Architecture 75

Honeycomb

JANUARY 3, 2022

We’re operating distributed microservice ecosystems on top of a deep stack of frameworks, abstractions and runtimes that are all running on other people’s servers (aka “the cloud”). This time, imagine that we are the on-call engineer for a large web app with a complex architecture consisting of hundreds of independent microservices.

Systems Review 143

Systems Review Microservices Architecture System 143

Capgemini

MARCH 25, 2020

Designing the microservices: Start with the business focus for each service. Domain-driven design (aka DDD) is the de facto architecture pattern for microservices. This helps break up the complex system into data-driven microservices that reflect the business problem. Go beyond the twelve-factor design for microservices.

Microservices 40

Microservices Architecture Testing Metrics 40

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

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

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

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. Provides a platform to ensure that relevant operational insights , metrics, logging, and alerting are in place before migration.

Comparison 138

Comparison Testing Metrics Analysis 138