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

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

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

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

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

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

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 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 313

Cloud Technical Review Software Review Systems Review 313

CIO

NOVEMBER 3, 2022

“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.” For example, she says that an iOS developer could learn eCommerce, or a web developer could study back-end infrastructure.

CTO Coach 246

CTO Coach Development .Net Coaching 246

Netflix Tech

MARCH 7, 2024

Example use case: Content Knowledge Graph Our knowledge graph of the entertainment world encodes relationships between titles, actors and other attributes of a film or series, supporting all aspects of business at Netflix. For many of our applications, model explainability matters. ETL workflows), as well as downstream (e.g.

System 90

System Machine Learning Artificial Inteligence Training 90

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.

Load Balancer 95

Load Balancer Cloud Continuous Delivery Microservices 95

CircleCI

JANUARY 24, 2022

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. By monitoring the metrics of running systems, developers can detect when these systems begin to deviate from normal behavior. Observability makes this possible.

Software Development 52

Software Development Software Development Metrics 52

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

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 Machine Learning 209

Kentik

JANUARY 31, 2023

Here are some examples of network-related KPIs: Network latency Packet loss Throughput Connections per second Bandwidth utilization Note that these KPIs can be aggregated at different levels of the hierarchy—individual endpoints or instances, multi-instance services, entire data centers, across regions, and globally.

Network 105

Network Analysis Data Center Metrics 105

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

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

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

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

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 135

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

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 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. Conclusion.

UI/UX 87

UI/UX Technical Review Software Review TDD 87

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

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

Exadel

MARCH 10, 2020

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). Consul is quite flexible and the monitoring system has numerous metrics. We can even choose metrics for monitoring containers. . The Big Takeaway.

DevOps 52

DevOps Microservices Load Balancer Architecture 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

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

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

Honeycomb

DECEMBER 20, 2021

Check out his full session for a complete walkthrough of a trace or download “ Distributed Tracing: A Guide for Microservices and More ” for more details on what traces are and what they contain. . In this session, Pierre walks you through Honeycomb’s own build pipelines and shows you how they’ve changed over time as real-world examples.

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. For example, using this method with Honeycomb, the team was able to fix a Git checkout quickly and easily. Enthusiasm increased.

System 58

System Company Part-Time VPE Microservices 58

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

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

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

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