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

O'Reilly Media - Ideas

JANUARY 14, 2025

The data in each graph is based on OReillys units viewed metric, which measures the actual use of each item on the platform. Microservices declined 24%, though content use is still substantial. Domain-Driven Design, which is an excellent skill for designing with microservices, is down 22%. Whats happening?

Trends 130

Trends Technology Security Artificial Inteligence 130

OverOps

DECEMBER 18, 2018

Observability and Responsibility for Serverless. Some might think that when you go serverless, it means that there’s no need to think about operating or debugging your systems. Metrics, logging, monitoring, and reliability. If you ask Charity Majors , Ops Engineer and CEO at Honeycomb.io, that’s a huge misconception.

Conference 185

Conference Serverless Weak Development Team DevOps 185

Netflix Tech

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. Cosmos is a computing platform for workflow-driven, media-centric microservices.

Microservices 71

Microservices Video Metrics Media 71

Stackery

DECEMBER 6, 2019

But after two days of discussing serverless development and AWS tooling with the many awesome folks who have visited the Stackery booth (plus the primer I attended on day one) I was actually feeling pretty limber for the marathon that was “Serverless SaaS Deep Dive: Building Serverless on AWS”. Serverless for SaaS.

Serverless 52

Serverless Lambda Microservices AWS 52

Xicom

MARCH 16, 2021

Nowadays, the cliche “serverless architecture” is the latest addition in the technology wordbook, prevailing following the launch of AWS (Amazon Web Services) Lambada in 2014. While the gospel truth is serverless, architecture proffers the promise of writing codes without any ongoing server administration apprehension.

Serverless 59

Serverless Lambda Development Microservices 59

ParkMyCloud

MAY 7, 2019

Curious why serverless is so popular – and why it won’t replace traditional servers in the cloud? Today we’ll take a look at what serverless computing is good for, and what it can’t replace. Today we’ll take a look at what serverless computing is good for, and what it can’t replace. Understanding Serverless.

Serverless 58

Serverless Lambda Google Cloud Azure 58

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 96

Microservices Video Software Review Testing 96

CircleCI

MAY 27, 2022

Two of the most widely-used technologies to host these deployments are serverless functions and containers. In this comparison, we will look at some important differentiators between serverless computing and containers and outline some criteria you can use to decide which to use for your next project. What is serverless?

Serverless 52

Serverless Applications Technical Review Microservices 52

Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. Where does serverless come from?

Serverless 68

Serverless Azure AWS Architecture 68

Stacks on Stacks

DECEMBER 11, 2020

Goal of balancing safety and speed is used throughout examples, geared toward microservices but perfectly applicable to server-based deployments. Once the code is deployed, you use an auto-rollback metrics monitoring strategy to determine whether the change is working nicely for customers. It’s now available to stream on-demand.

Serverless 52

Serverless AWS Metrics Microservices 52

Confluent

FEBRUARY 13, 2019

Do I need to use a microservices framework? Distributed object (RPC sync), service-oriented architecture (SOA), enterprise service bus (ESB), event-driven architecture (EDA), reactive programming to microservices and now FaaS have each built on the learnings of the previous. Do I need to use a microservices framework?

Architecture 92

Architecture Programming Microservices Serverless 92

The Agile Monkey

NOVEMBER 27, 2018

Utilizing AWS Hosted Technologies to Bootstrap a Simple Cloud E-Commerce Solution A Very Brief Serverless Introduction There are plenty of blog posts and documentation that give introductions to serverless architectures in general and specific providers and technologies. Using Serverless Framework, a single command deploys everything.

Serverless 40

Serverless AWS Architecture Microservices 40

Honeycomb

NOVEMBER 22, 2024

Unlike traditional monitoring, which tends to focus on predefined metrics and thresholds, cloud observability offers a more comprehensive view. Monitoring is more reactive, focusing on identifying and alerting teams when performance issues arise based on preset metrics and assumptions about the system.

Cloud 69

Cloud Metrics Microservices Serverless 69

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

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Is the relatively low growth of microservices a sign of change? Have microservices reached a peak?

Trends 144

Trends Technical Review Technology Software Review 144

CIO

JANUARY 26, 2023

The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low. Tracking the cost of instances and pods across your multiple clouds is part of this larger job.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Perficient

MARCH 13, 2023

Openshift Monitoring manages the collection and visualization of internal metrics like resource utilization, which can be leveraged to create alerts and used as the source of data for autoscaling. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics.

Serverless 83

Serverless Azure Metrics AWS 83

O'Reilly Media - Ideas

MARCH 1, 2022

And Holochain is a decentralized framework for building peer-to-peer microservices–no cloud provider needed. Serverless” development is declining. Is serverless just a halfway step towards event-driven programming, which is the real destination? Is it another component of Web3 or something new and different? Programming.

Trends 116

Trends Blockchain Serverless Malware 116

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?

Cloud 187

Cloud Technical Review Software Review Systems Review 187

Honeycomb

SEPTEMBER 23, 2021

You can derive metrics, logs and traces from arbitrarily-wide structured events (which o11y is defined by). You can still get insight into the internal state of systems from their external data even if those are just metrics or logs. A closely related view is that observability has three pillars: metrics, logs and traces.

Metrics 123

Metrics DevOps System Microservices 123

Mobilunity

DECEMBER 26, 2024

Decompose these into quantifiable KPIs to direct the project, utilizing metrics like migration duration, savings on costs, and enhancements in performance. Think about refactoring to microservices or containerizing whenever feasible, to enhance performance in the cloud setting. lowering costs, enhancing scalability). How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

OverOps

DECEMBER 18, 2018

Observability and Responsibility for Serverless. Some might think that when you go serverless, it means that there’s no need to think about operating or debugging your systems. Metrics, logging, monitoring, and reliability. If you ask Charity Majors , Ops Engineer and CEO at Honeycomb.io, that’s a huge misconception.

Conference 100

Conference Serverless Weak Development Team DevOps 100

Honeycomb

MARCH 24, 2022

Observability came out of microservices and cloud-native, right? On both counts—yeah, it sorta came out of microservices and cloud native, and yeah sorta, you need it with a simpler architecture (though perhaps not as desperately as you otherwise might). The need for observability grew forth from microservices and cloud native.

Microservices 59

Microservices Architecture Metrics PHP 59

Modus Create

JUNE 20, 2023

Serverless architecture Search results for “serverless architecture” over the past 5 years (2/24/2023) Serverless architecture allows developers to create products without managing the underlying infrastructure. You can think of them as microservices but for UI. billion in value.

Trends 75

Trends Development Serverless Technical Review 75

ParkMyCloud

AUGUST 29, 2019

In this workshop, we show you how to use AWS AI services to build a serverless application that can help you understand your customers. ARC201 – Comparing serverless and containers – Microservices are a great way to segment your application into well-defined, self-contained units of functionality.

AWS 12

AWS How To Serverless Microservices 12

Linux Academy

JUNE 25, 2019

We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. Serverless Concepts. Serverless has been gaining momentum as cloud technology continues to become more widespread. MicroService Applications In Kubernetes. Database Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

Honeycomb

NOVEMBER 6, 2018

Serverless applications are becoming more popular, thanks to AWS Lambda , Azure Functions , and other serverless platforms. But, these applications can still be complex and one challenge for serverless users, in particular, is debugging, monitoring, and observability. Or, maybe it’s composed of microservices and/or functions.

Serverless 45

Serverless Lambda AWS Metrics 45

Honeycomb

FEBRUARY 16, 2024

APM brings this level of metric rigor to applications, recording uptime, requests received, statuses returned, latency, and resource usage for each running process. Typically, APM includes performance metrics, error detection, and—this is the ‘if you’re lucky’ part—distributed traces. Time-series metrics become very expensive.

Performance 84

Performance Applications Metrics Artificial Inteligence 84

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. Hopefully, it will get accepted and we will see each other there!

Software 66

Software DevOps Architecture Blockchain 66

Linux Academy

JUNE 28, 2019

Serverless Concepts. Course Description: Serverless has been gaining momentum as cloud technology continues to become more and more widespread. This course is designed to provide a high-level overview of the concept of Serverless computing without getting into deep technical details. Difficulty Level: Beginner.

Course 60

Course DevOps Training Linux 60

O'Reilly Media - Ideas

MAY 1, 2019

60 Minutes to Better Product Metrics , July 10. Deploying Container-Based Microservices on AWS , June 10-11. Designing Serverless Architecture with AWS Lambda , June 11-12. Microservices Caching Strategies , June 17. Kubernetes Serverless with Knative , June 20. Microservice Fundamentals , July 10.

Course 62

Course Training Artificial Inteligence Machine Learning 62

Perficient

JULY 20, 2023

One of the most important design decisions when configuring autoscaling is selecting the right metrics to use for the scaling rules – each system is unique, and while some applications may require heavy compute, others may need more memory or storage to operate efficiently. Docker) allows for better resource utilization.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Netlify

SEPTEMBER 26, 2021

With events, metrics, logs, and traces, we are able to contextualize and identify performance issues within our plugins, 3rd party APIs, and other parts of our website. Low code serverless functions with WebAssembly-powered DSLs. Serverless functions are the “A” in JAMstack. Learn more ? . Learn more ? .

Weak Development Team 56

Weak Development Team Serverless Software Review Apparel 56

Modus Create

MAY 18, 2020

It fills a big gap in the Java ecosystem focusing on the Kubernetes platform, empowering developers to build and deploy small, optimized applications that can run either as standalone services or as serverless functions. Problem: Cloud Native Apps and Serverless. Let’s understand how it works! seconds for the regular cloud stack.

Serverless 58

Serverless Cloud Operating System Applications 58

Honeycomb

DECEMBER 10, 2020

The widespread adoption of containers, microservices and orchestration have made it easier than ever to take a small bit of software and push it live in front of users — and, in doing so, push a whole bunch of comfortable tasks (debugging, profiling) into uncomfortable territory: production. Hi, serverless! And thanks, Heroku.)

Weak Development Team 52

Weak Development Team Development DevOps Metrics 52

CloudGeometry

FEBRUARY 7, 2022

Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. On the other hand, the cost profile, access patterns, and agility of another microservice may necessitate using a Pool model.

Architecture 130

Architecture Policies Resources Construction 130