Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

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. We’ll put the focus on Kubernetes and the Java Virtual Machine ( JVM ).

Microservices 130

Microservices Resources Software Review Metrics 130

Netflix Tech

SEPTEMBER 23, 2019

Niosha Behnam | Demand Engineering @ Netflix At Netflix we prioritize innovation and velocity in pursuit of the best experience for our 150+ million global customers. In the event of an isolated failure we first pre-scale microservices in the healthy regions after which we can shift traffic away from the failing one.

Microservices 76

Microservices Systems Review Metrics Software Review 76

Apiumhub

OCTOBER 10, 2023

He is a software engineer, consultant, and author of “Continuous Delivery”, “Modern Software Engineering,” “CD Pipelines,” and “ Software Architecture Metrics. “ Farley is synonymous with being at the forefront of modern software development practices.

Social 86

Social Media Fractional CTO Software Engineering 86

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

Altexsoft

NOVEMBER 12, 2020

In the words of Ben Treynor Sloss, Google’s VP of engineering who coined the very term SRE , “it’s what happens when you ask a software engineer to design an operation function.”. Metrics are crucial. Treat operations as a software problem. SRE utilizes software engineering to solve operations problems.

DevOps 96

DevOps Engineering Software Review Weak Development Team 96

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 88

UI/UX Technical Review Software Review TDD 88

LeanEssays

JULY 16, 2015

In fact, we have found that almost without exception, software engineers love to work in a Continuous Delivery environment because of the challenge, the discipline, the clarity, and the immediate feedback. If you visit Silicon Valley these days you will find that software developers have been replaced by software engineers.

Agile 69

Agile Software Review Technical Review Microservices 69

CircleCI

JANUARY 24, 2022

“Observability” and “monitoring” are two words that can perplex even experienced software engineers. New developers coming into a software engineering or operations role can find it challenging to understand the difference between observability and monitoring. As software has evolved, so has observability.

Software Development 52

Software Development Software Development Metrics 52

Honeycomb

OCTOBER 11, 2023

In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.

DevOps 111

DevOps Weak Development Team Engineering Metrics 111

Honeycomb

FEBRUARY 16, 2024

And, if you’re lucky: How does each piece of software and infrastructure fit together to serve each customer? APM brings this level of metric rigor to applications, recording uptime, requests received, statuses returned, latency, and resource usage for each running process. Time-series metrics become very expensive. What is APM?

Performance 84

Performance Applications Metrics Artificial Inteligence 84

O'Reilly Media - Ideas

DECEMBER 6, 2018

Virtually all modern software and applications built today are distributed systems of some sort, says Sam Newman , director at Sam Newman & Associates and author of Building Microservices. Even for limited, node-level metrics, traditional monitoring systems do not scale well on large clusters of hundreds to thousands of nodes.

Systems Review 108

Systems Review System Technical Review Technical Cofounder 108

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

LeanEssays

JULY 14, 2019

He describes “some surprising theories about software engineering”: I discuss these theories in terms of two fundamentally different development styles, the "cathedral" model of most of the commercial world versus the "bazaar" model of the Linux world. If you give software engineers manual work, their first instinct is to automate it.

Software Review 91

Software Review Software Engineering Weak Development Team Continuous Delivery 91

AWS Machine Learning - AI

FEBRUARY 1, 2024

Use a microservices approach to isolate other components from these less mature frameworks. Observability Besides the resource metrics you typically collect, like CPU and RAM utilization, you need to closely monitor GPU utilization if you host a model on Amazon SageMaker or Amazon Elastic Compute Cloud (Amazon EC2).

Generative AI 137

Generative AI Disaster Recovery Artificial Inteligence AWS 137

Battery Ventures

MARCH 10, 2021

But there’s an outlier here: software engineering. Despite software engineering being one of the fastest-growing professions—development platform GitHub is adding more than 10 million developers a year, with 56 million total developers now on that platform–software delivery is still more of an art than a science.

Engineering 64

Engineering Data Software Engineering Software Development 64

Exadel

MARCH 10, 2020

Recently, Michael Shklyar, a DevOps Software Engineer from the Exadel Digital Transformation Practice, recently sat down with Alexey Korzhov , a DevOps specialist from one of our client projects, to discuss Consul, it’s advantages, and how it helps him solve issues. We can even choose metrics for monitoring containers. .

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Honeycomb

JANUARY 13, 2023

In this blog, we unpack how observability fits into the landscape of other modern practices, such as the DevOps, SRE (Site Reliability Engineering), and cloud-native movements. This session also addresses example technologies used to build cloud-native apps, such as containers, service meshes, microservices, and immutable infrastructure.

DevOps 98

DevOps Culture Engineering Microservices 98

OverOps

DECEMBER 18, 2018

At Serverless Computing London keynote, Charity explained what we mean when we say observability, what it means to have an observable system, how it connects to old methods of monitoring or debugging, and why the modern serverless software engineer should give a flying crap. Metrics, logging, monitoring, and reliability.

Conference 100

Conference Serverless Weak Development Team DevOps 100

LaunchDarkly

SEPTEMBER 13, 2018

Matt Duftler, Senior Software Engineer at Google, and Michael Graff, Senior Software Engineer at Netflix, gave a talk about automated canary deployments. “So And it supports like an extensible set of metric services and judges and cloud platforms and everything else. So what’s canary deployment?

Analysis 58

Analysis Performance Metrics Microservices 58

Honeycomb

JULY 17, 2023

With the prevalence of microservices, it’s easy to work under the assumption that the systems we observe are distributed. A customer can also make assumptions about Honeycomb or the Customer Success team, such as: Observability is only for software engineering and development.

Weak Development Team 98

Weak Development Team Technical Review Systems Review Engineering 98

AWS Machine Learning - AI

AUGUST 8, 2024

The LLM proxy (a microservice deployed on an EKS pod as part of the Service VPC) simplifies the integration of LLMs for Webex teams, providing a streamlined interface and reducing operational overhead. Ravi’s expertise includes microservices, containerization, AI/ML, and generative AI.

Generative AI 125

Generative AI Artificial Inteligence AWS Machine Learning 125

Apiumhub

MAY 26, 2022

About Software Architecture Metrics book. This edition is focused on software architecture metrics as they are key to the maintainability and architectural quality of a software project. Sonya Natanzon is an engineering leader and software architect with many years of experience.

Technical Review 52

Technical Review Software Review Technical Advisors Architecture 52

Apiumhub

JUNE 13, 2023

Software Development Experts Interviews Inma Navas Our first interview of “Talks with Software Development Experts,” was with Inma Navas, a software engineer and the winner of our Software Architecture Metrics book giveaway. Her current stack is Java and Kotlin.

Software Development 66

Software Development Software Review Software Development 66

Apiumhub

OCTOBER 18, 2022

This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. He has been in the software industry since 1983 and has significant experience and expertise in application, integration, and enterprise architecture.

Software Review 52

Software Review Architecture Technical Review Software 52

Honeycomb

AUGUST 29, 2022

Someone once described dashboards to me as “expensive TV for software engineers.” 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.

Metrics 52

Metrics Infrastructure Resources Applications 52

Honeycomb

AUGUST 29, 2022

Someone once described dashboards to me as “expensive TV for software engineers.” 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.

Metrics 52

Metrics Infrastructure Resources Applications 52

Confluent

MARCH 20, 2019

Consider building a metrics and alerting pipeline in which events are bucketed into two-minute windows. Each time the graph refreshes, it will get the most recent metric values in each window. This essentially corresponds to line 1 of Metrics App with Alerts. We window the incoming events in line 3 of Metrics App with Alerts.

Windows 105

Windows Metrics Applications Programming 105

Netflix Tech

FEBRUARY 9, 2021

By offloading token processing from these systems to the central Edge Authentication Services, downstream systems saw significant gains in CPU, request latency, and garbage collection metrics, all of which help reduce cluster footprint and cloud costs. And, we’re hiring Senior Software Engineers !

Authentication 91

Authentication Systems Review Architecture Microservices 91

CircleCI

AUGUST 22, 2019

Clojure remains our language of choice, but as we continue to pull microservices from our monolith (over a dozen at this point), we are committed to using the right set of tools for the job and we evaluate that decision for each new service. Go is also used for CLI tools. The frontend. Come work with us and help us ship our own code faster!

Software Review 18

Software Review Technical Review Authentication Engineering 18

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.

Weak Development Team 52

Weak Development Team Development DevOps Metrics 52

LaunchDarkly

JULY 30, 2019

This talk was inspired by an article Michael wrote in 2018, Hypothesis Driven Development for Software Engineers. We log absolutely everything we possibly can, all of the metrics, the exceptions, et cetera. So the load testing one here, one of our new microservices makes a number of calls to get content. TRANSCRIPT.

Testing 94

Testing Development Microservices Engineering 94

Apiumhub

MARCH 9, 2023

We contribute a lot to the software development and software architecture communities, and we have identified like-minded companies that focus on working software, deliver great results, and care about community and knowledge sharing. They are a reference in the software development industry.

Software Review 77

Software Review Technical Review Software Software Development 77

Honeycomb

NOVEMBER 6, 2018

This is a guest post from Salih Kardan, Software Engineer @Thundra and Committer at Apache, formerly SRE @Opsgenie. Thundra collects and correlates all your metrics, logs, and traces, allowing you to quickly identify problematic invocations and also analyzes external services associated with that function.

Serverless 45

Serverless Lambda AWS Metrics 45

Netflix Tech

SEPTEMBER 13, 2021

Scaling With Developer Experience Developers in the Netflix streaming world compose the customer-facing Netflix experience out of hundreds of microservices, reachable by complex routing rules. On the Netflix Studio side, in Content Engineering, each team develops distinct products with simpler routing needs.

Development Team Review 91

Development Team Review Authentication Software Review Technical Review 91

CircleCI

MARCH 30, 2022

I designed these tutorials to introduce you to k6 and to show you how to use k6 for performance testing of microservices. In the tutorial for performance testing with k6, I covered how to output k6 metrics and logs to the cloud for analysis and visibility by your whole team. You are ready to start learning! Conclusion.

Testing 52

Testing Software Review Systems Review Metrics 52

Kentik

DECEMBER 11, 2018

Microservices (or sometimes called Microservice architecture ) - This refers to structuring an application with a collection of loosely coupled, lightweight services, each implementing a specific, granular piece of the application. Development teams can iterate or scale each microservice independent of the others, speeding development.

Architecture 45

Architecture Network Cloud Microservices 45