CircleCI

MAY 21, 2020

Designing software that is flexible and changeable is arguably the most important architectural property. 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. Without mandating a specific architecture (e.g.

Architecture 122

Architecture Weak Development Team Metrics Culture 122

Accenture

APRIL 3, 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 92

Microservices Technical Review Software Review Systems Review 92

DevOps.com

NOVEMBER 4, 2019

Whether migrating from a monolithic architecture or building a distributed system from ground zero, there are many benefits to leverage from a microservices architecture–faster software deployment cycles, enhanced scalability, improved isolation of risk. The […].

Metrics 72

Metrics System Scalability Microservices 72

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….

Microservices 273

Microservices Weak Development Team How To Architecture 273

Dzone - DevOps

AUGUST 18, 2023

Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. It has its roots in the three-tiered model of application architecture. Under a heavy load, the application could break if the traffic routing, load balancing, etc., were not optimized.

Load Balancer 71

Load Balancer Microservices Open Source Architecture 71

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

OCTOBER 26, 2023

With a shift towards microservices and highly modular architectures, the importance of application integration testing has never been greater. In this discussion, we take a different approach to dissect this subject by emphasizing the need for strategic planning, scalability considerations, and ROI metrics.

Testing 91

Testing Applications Strategic Planning Microservices 91

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.

System 195

System Microservices Weak Development Team How To 195

CIO

JUNE 6, 2023

Traditionally, monitoring software systems involved collecting logs and simple metrics. For example, a typical microservices-based architecture may consist of dozens or even hundreds of different services, each generating its own logs and metrics.

Data 130

Data Metrics Systems Administration Budget 130

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.

Microservices 124

Microservices Serverless Architecture Applications 124

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

Apiumhub

OCTOBER 10, 2023

From software architecture experts to authors of renowned books and entrepreneurs, this list spans a diverse spectrum of tech influencers. He is a software engineer, consultant, and author of “Continuous Delivery”, “Modern Software Engineering,” “CD Pipelines,” and “ Software Architecture Metrics.

Media 85

Media Social Fractional CTO Software Engineering 85

Dzone - DevOps

MARCH 7, 2023

When organizations move toward the cloud, their systems also lean toward distributed architectures. 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.

Tools 75

Tools Microservices Metrics Architecture 75

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. Architectural lock-in is when the application relies on multiple managed services from the cloud provider.

Cloud 289

Cloud Technical Review Software Review Systems Review 289

Dzone - DevOps

FEBRUARY 16, 2023

Now, we are moving toward microservices architecture, where applications are divided into multiple independently deployable services. In this kind of application architecture, it becomes difficult to observe how one service depends on or affects other services. These services have their own goal and logic to serve.

Microservices 65

Microservices Architecture Metrics Applications 65

CIO

SEPTEMBER 8, 2023

ACM also includes a robust portal that offers case analytics around product utilization, surgery metrics, upcoming case schedules, case details, and templating insights. To predict component size for TKA and THA surgeries, J&J implemented a range of machine learning techniques.

Artificial Inteligence 226

Artificial Inteligence Healthcare Weak Development Team Machine Learning 226

Apiumhub

JANUARY 26, 2021

Facilitator of visual and collaborative modelling using Deep Democracy Domain-Driven Design to find out key software architecture trends as well as other key software architecture lessons learned over the past years. . Interview with Kenny Baas-Schwegler: Software architecture trends & key lessons learned. Observability.

Architecture 52

Architecture Trends Software Sustainability 52

CloudGeometry

MARCH 3, 2022

Second, there is no one-size-fits-all SaaS architecture (the second principle is a corollary of the first). The challenge is to build common ground between business and architecture so as to translate business assumptions into critical technical solution inputs. This is known as a unit metric.

Metrics 130

Metrics Architecture Cloud Strategy 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. OK, Results?

Metrics 115

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

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. Mao and co-founder Rob Skillington (CTO) founded Chronosphere on the back of early work that they started at Uber, where they built an observability platform very specific to Uber’s needs as a business.

Cloud 209

Cloud Sport Open Source Machine Learning 209

Altexsoft

MAY 27, 2020

Machine learning production pipeline architecture. Here we’ll look at the common architecture and the flow of such a system. A feature store may also have a dedicated microservice to preprocess data automatically. Monitoring tools : provide metrics on the prediction accuracy and show how models are performing.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

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

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. You can read more about this in our previous posts here: part 1 , part 2. It was a Node.js

Microservices 93

Microservices Video Software Review Metrics 93

Apiumhub

SEPTEMBER 14, 2022

We constantly participate in software architecture, DevOps, QA, React, Nodejs, and other events as speakers, sponsors, moderators, or partners. You can check some of the previous events here: Android Development Global Summit Angular Global Summit DevOpStars’22 Worldwide Software Architecture Summit Vue.Js Global Summit React Summit.

Software 65

Software DevOps Architecture Blockchain 65

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. with DevOps tools like Jenkins with CI/CD, Docker, Ansible, Kubernetes, or other tools.

Microservices 105

Microservices Architecture Load Balancer MVC 105

Netflix Tech

FEBRUARY 3, 2021

Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. Backward compatibility is even more critical when working in a Federated GraphQL architecture.

Open Source 98

Open Source Software Review Architecture Technical Review 98

TechCrunch

OCTOBER 12, 2020

Throw in microservices and one can wind up with a big muddle, and an even bigger bill. It set out to solve the spend attribution problem that companies with public cloud contracts deal with — including having to contend with modern architecture and its related issues — while earning the trust of engineers, according to Razzaq.

Cloud 250

Cloud Company Azure Google Cloud 250

CircleCI

JANUARY 24, 2022

However, these techniques often fall short in their ability to measure the many communication pathways and interdependencies in modern cloud-native architectures. Modern enterprises employ both observability and monitoring to help uncover issues in their application architecture. Observability makes this possible. What is monitoring?

Software Development 52

Software Development Software Development Metrics 52

Netflix Tech

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. 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

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. What is BPF? So how do we ingest and enrich these flows at scale ?

Network 130

Network IPv6 Transportation AWS 130

CircleCI

SEPTEMBER 22, 2021

Before we get into tips and best practices for designing your distributed system, it might be helpful to look back at the evolution of software architecture. A brief history of software architecture. Client-server architecture. Client-server architecture was the forerunner of distributed computing. Distributed computing.

Systems Review 59

Systems Review System Microservices SOA 59

Apiumhub

NOVEMBER 30, 2022

The React Global Online Summit started with Sohini Pattanayak, Associate Product Manager at Entando, who helps developers, architects, and enterprises accelerate development through the use of modular architecture in composable applications. The Performance API is a set of standards that measure and analyze various performance metrics.

UI/UX 87

UI/UX Technical Review Software Review TDD 87

Agile Engine

APRIL 18, 2024

Continuous monitoring enables an automated tracking of system health while focusing on metrics related to compliance, security, or performance. Your company likely has multiple teams working on different projects ranging from legacy apps and monolithic architectures to microservices.

DevOps 52

DevOps Strategy Compliance Metrics 52

Exadel

MARCH 10, 2020

Consul is quite flexible and the monitoring system has numerous metrics. We can even choose metrics for monitoring containers. . The main benefit of Consul, as opposed to microservices architecture, is that microservices architecture is quite complex. The Big Takeaway.

DevOps 52

DevOps Microservices Load Balancer Architecture 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

OverOps

JULY 1, 2019

The divergence sneaks up on us and we only discover it when things become unstable and start to topple, or cross integrations are too complex because it’s not built with a solid architecture. There are many types of analysis we can perform to ensure reliability, though, going far beyond the log files.

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250