OverOps

JULY 11, 2018

The official definition of DevOps is “a software engineering culture and practice, that aims at unifying software development and software operation.” If we break it down, this data should include: Execution stack and bytecode. The bottom line is that it’s all about the data. Sign up now.

DevOps 145

DevOps Software Review Systems Review Technical Review 145

CircleCI

APRIL 20, 2022

In the user acceptance phase of software testing, developers provide part or all of the application to end-users or their representatives to model real-world interactions and functionality. Many healthy engineering cultures avoid relying heavily on user acceptance testing due to its unreliability, cost, and time consumption.

Software Review 98

Software Review Testing Software Weak Development Team 98

Honeycomb

APRIL 26, 2022

Any significant shift in an organization’s software engineering culture has the potential to feel tectonic, and observability (o11y for short)—or more specifically, Observability Driven Development —is no different. The value driven from a tool is directly contingent upon the data that underlies it.

Weak Development Team 52

Weak Development Team Software Review Systems Review Real Estate 52

Honeycomb

MAY 14, 2024

Challenge Amperity required an observability partner to facilitate their transition into the modern engineering era as their previous tooling struggled to support their growth strategy. When customer data is scattered everywhere, how do you put the pieces together to get an accurate customer 360° view?

Engineering 110

Engineering Engineering Culture Sustainability Fractional CTO 110

InfoQ Culture Methods

FEBRUARY 25, 2021

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.

Machine Learning 125

Machine Learning Artificial Inteligence Agile Development 125

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 125

Testing Engineering Software Artificial Inteligence 125

Xebia

APRIL 23, 2024

This request contains a data payload describing information about the command, including who invoked it. Keep in mind that this data will be sent with a Content-Type header set as application/x-www-form-urlencoded. Then, from this data the user_name is extracted and used to update the corresponding block in the layout.

Lambda 130

Lambda AWS Authentication Construction 130

Xebia

OCTOBER 31, 2022

Think in terms of modern software development which mostly involves receiving data, transforming it, and sending it to the next part of the system. Any ambiguity in the requirements will lead to ambiguity in the implementation. Solutions are always a journey from point a to point b.

Minimum Viable Product 130

Minimum Viable Product Groups Software Architecture 130

Apiumhub

AUGUST 29, 2019

Here I would like to share with you the outcomes of the “Path to Principal: Defining the Modern Principal Engineer” panel discussion that I had a chance to attend. So, in this article, you will find common patterns as well as our definition of Principal Engineer based on our experience. is not just about software development.

Engineering 32

Engineering Part-Time VPE Software Engineering Engineering Culture 32

Netflix Tech

MARCH 1, 2021

Dealing with production issues became an expensive chore that placed a tax on all developers because infrastructure code was all mixed up with application code. The centralized data model that had served us well when we were a small team became a liability. None of us have the title of Software Architect; all of us play that role.

Serverless 91

Serverless Microservices Weak Development Team Media 91

Altexsoft

MARCH 3, 2023

Data-driven decision making. Such teams need to use data to inform and maintain their decision-making processes. This usually includes the market trends and consumer behavior data collection, UX research , and its further analysis. Here, we will focus on software development so the roles will be chosen correspondingly.

Examples 52

Examples UI/UX Development Technical Review 52

LaunchDarkly

SEPTEMBER 20, 2019

That doesn’t exist in the data center.” When you’re dealing with hundreds of services at massive global scale, across data centers, across regions, across clouds, things get very, very complicated very fast. I think it’s important when you’re talking about chaos engineering to also talk about culture.

Engineering 9

Engineering Weak Development Team Development Team Review Testing 9

LaunchDarkly

JANUARY 14, 2020

At the November Test in Production Meetup in San Francisco, LaunchDarkly’s Yoz Grahame (a Developer Advocate) moderated a panel discussion featuring Larry Lancaster, Founder and CTO at Zebrium, and Ramin Khatibi, a Site Reliability Engineer (SRE) and infrastructure consultant. You come from a data and AI background.

Weak Development Team 10

Weak Development Team DevOps Testing Agile 10

O'Reilly Media - Ideas

NOVEMBER 22, 2022

Chander Damodaran of Brillio noted that, “the culture of sharing solutions, frameworks, and industry-leading practices” has been a crucial part of Brillio’s journey. Similarly, Tim Hope said that open source is critical in building an engineering culture and developing systems. That’s an important statement.

Open Source 80

Open Source Engineering Culture Weak Development Team Fractional CTO 80

Apiumhub

MARCH 10, 2020

language-centered: java, kotlin; paradigm-oriented: object-oriented, functional programming; domain-centered: cryptography, traveling, consulting; style-of-programming: web, big data, systems programming). ¹. This tries to set up a base understanding of characteristics that make up a healthy Engineering Culture.

Report 52

Report Conference Engineering Culture Programming 52

LeanEssays

JULY 14, 2019

Furthermore, no interactions or data exchanges were allowed except through API’s. If you give software engineers manual work, their first instinct is to automate it. The earliest technical problems centered on how to store all that data, and then how to search it.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91