Allstacks

JANUARY 20, 2022

Because we know engineering wants to take care of their people, Allstacks has a whole set of features and metrics geared toward keeping a pulse on the team and supporting healthy engineering culture. But our interest in the topic is more than a passing trend.

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TechCrunch

AUGUST 29, 2022

Labor Department estimating that the global shortage of software engineers could reach 85.2 Astro support developers through salary and promotion reviews, Samira also noted, assigning engineering mentors who advocate for the progress on developers’ teams. million by 2030.

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Weak Development Team Technical Review Company Development 188

TechCrunch

SEPTEMBER 22, 2022

Fresh off the launch of a new product designed to measure engineering performance metrics, Lisbon-based Codacy has closed a $15 million Series B funding round led by Bright Pixel Capital, the corporate VC of one of Portugal’s biggest employers, the Sonae Group. . Codacy’s headcount stands at 100 staffers today.).

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TechCrunch

NOVEMBER 10, 2021

pushed providers to get better at both patient privacy and data interoperability, and that’s bearing fruit. The company recently hired Varun Singh as chief product technology officer and Sarah Milstein as vice president of engineering. We think we have an unfairly good engineering team from a competitive perspective.

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Video Development Healthcare Engineering Culture 237

Xebia

MAY 16, 2023

Data Engineers were tempted by the pressure of the moment to give up on testing all together. There was no need for generating your own data; just take a percentage of production data. In many cases, these tasks ended up on the shoulders of the Data Engineers themselves. Overly restrictive governance.

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Testing How To Data Engineering Engineering 130

Netlify

SEPTEMBER 30, 2021

When we talk with engineering candidates, it’s pretty easy to explain what our frontend and Node.js But did you know that a big chunk of Netlify’s engineering team is in the backend? Meet some of our backend engineers… Bryan Mikaelian. Improving our data pipeline. Team: Growth. Pronouns: He/him.

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Engineering Technical Review Software Review Systems Review 52

Honeycomb

AUGUST 2, 2022

We’ve wondered, in the past, what new engineers think about how we do things at Honeycomb. Meet Elliott and Reid, two of our engineers that recently hit their 90 day mark. What’s your name, how long have you been here, and what do you do, as an engineer? See our open positions, learn more about our culture, and apply today.

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Engineering Technical Review Software Review Culture 52

Netflix Tech

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. In the Reliability space, our data teams focus on two main approaches.

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InfoQ Culture Methods

JANUARY 7, 2022

This article presents how to use data science to detect wastes and impediments, and concepts and related information that help teams to figure out the root cause of impediments they struggle to get rid of.

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Software Development Data Software Trends 101

Honeycomb

MAY 24, 2023

Instrument ( automatically or manually ) with OTel and it’s possible to explore rich data down to individual user requests, creating nearly instant feedback loops on how customers are experiencing new code post-deploy. Observability is more than a platform: it’s a culture shift.

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Software Review Culture Systems Review Engineering Culture 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? The challenge?

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Engineering Engineering Culture Sustainability Fractional CTO 109

Cloudera

NOVEMBER 12, 2021

How hard is it for engineering to build? From an engineering perspective, we look to add the features that customers want over time, baking in a tremendous amount of flexibility to support extensions to the product that a small portion of customers value. I took this data to my peers and their PM teams and got a lot of strange looks.

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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.

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Testing Engineering Software Artificial Inteligence 125

Confluent

MAY 23, 2019

Keith Davidson (Director of Group TV Distribution Platforms, Sky) told us how to “Grow a Great Engineering Culture with Apache Kafka.” We rightly spend a lot of time trying to figure out how to build things, so it was good to step back and see how our engineering work can drive internal cultural change as well.

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Video Engineering Culture Conference Culture 109

Cloudera

AUGUST 31, 2018

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. We’re excited about this unique opportunity to push the boundary of what’s possible with data and set a new benchmark for ease of operations and cost efficiency of machine learning and analytics at scale.

Artificial Inteligence 69

Artificial Inteligence Machine Learning Analytics Engineering Culture 69

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.” The concept of Site Reliability Engineer (SRE) has been around since 2003, making it even older than DevOps. The bottom line is that it’s all about the data. Sign up now.

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DevOps Software Review Systems Review Technical Review 145

Joel Crabb

DECEMBER 30, 2018

This turned out to be a much harder problem that it sounds, use you can use a DL for anything really, but it only makes sense in specific contexts where you are actually sharing data with external partners. Second, I gave a presentation on technical culture rather than technology.

Engineering Culture 52

Engineering Culture Retail Blockchain Culture 52

CircleCI

APRIL 20, 2022

Many healthy engineering cultures avoid relying heavily on user acceptance testing due to its unreliability, cost, and time consumption. Many engineers gravitate toward it when writing functional tests to complement their non-functional tests. It can quickly consume your team’s engineering bandwidth. Security testing.

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Software Review Testing Software Weak Development Team 98

CircleCI

APRIL 12, 2022

Modern software systems are complex, with services distributed across data centers, in many zones, all around the world. Now we rely on others to manage massive data centers where we borrow small slices of virtual space on shared hardware, traveling over shared networks, all in a system we call the cloud.

Infrastructure 52

Infrastructure Cloud Data Center Test-Driven Development 52

Apiumhub

MARCH 3, 2022

Getting Stuff Done Days (GSDD) is an initiative used by many top companies to improve the quality of the software development and boost a proactive, continuous improvement-based engineering culture in their organizations. Consider alternates, analyze data and define metrics. Solve tech debt, focus on underperforming parts.

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Weak Development Team Software Development Software Review Software 59

Xebia

MARCH 21, 2024

There are several examples of organizations gathering lots of data to get an idea of how such a system works, like Google’s “ Project Aristotle.” Our model and the data we gather to query it can give us insights and show correlations. ” And we can get worthwhile insights from research like that.

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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. You can have data without information, but you cannot have information without data” – Daniel Keys Moran.

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Weak Development Team Software Review Systems Review Real Estate 52

Joel Crabb

DECEMBER 30, 2018

This turned out to be a much harder problem that it sounds, use you can use a DL for anything really, but it only makes sense in specific contexts where you are actually sharing data with external partners. Second, I gave a presentation on technical culture rather than technology.

Engineering Culture 40

Engineering Culture Retail Blockchain Culture 40

Datavail

APRIL 6, 2022

In addition to modernizing your.NET applications and development methodologies, you might also take this chance to renovate the underlying database, or fix chronic pain points such as data quality issues. This could include changes to the database’s software, architecture, data schema, or security practices. Establishing an IT culture.

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Azure Metrics Test-Driven Development Applications 52

CIO

APRIL 10, 2024

That untruth has lived for a long time but it’s going to start running out of oxygen very quickly, though there are some hard-core engineering cultures that hang on to that mystique and worship the ability to be these grumpy know-it-alls.” I’m looking to turn every developer into the single most productive engineer on the team.”

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Artificial Inteligence Generative AI Training Coaching 334

d2iq

AUGUST 17, 2020

For example, teams will be building one stack on cloud provider “A,” a different stack on cloud provider “B,” and a third stack at the edge or in a data center. Empowering Both Developers and Operators When adopting Kubernetes and other cloud native services, it’s important to think about how they’ll impact the engineering culture.

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Organization Government eBook Engineering Culture 72

InfoQ Culture Methods

FEBRUARY 25, 2021

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. Machine learning is a powerful new tool, but how does it fit in your agile development? By Jay Palat.

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Artificial Inteligence Machine Learning Agile Development 125

Netlify

MARCH 2, 2021

These are built on three key principles: Automation : By automating recurring tasks whenever possible, we reduce the margin for human error and free up our engineers to focus on the right things. To do this effectively, we need a culture of confidence around the code that we take to production. Confidence : We ship fast and often.

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Software Review Systems Review Technical Review Testing 76

LaunchDarkly

SEPTEMBER 20, 2019

Corey Bertram, VP of Infrastructure & SRE at Datadog spoke about how his organization does chaos engineering. He shared his experiences from when he led the SRE team at Netflix, and how thats influenced the way he’s helped the Datadog team put process around chaos engineering experiments. We’re pretty good.

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Engineering Weak Development Team Development Team Review Testing 9

Xebia

APRIL 5, 2022

When there is less data available, for example, when fewer users shop at night, measurements are more scattered. The data is also less uniform because the performance measurements can be impacted by the capabilities of devices and the user’s connectivity. This quadrant is, of course, not without its limitations.

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Metrics Case Study Testing Study 130

Honeycomb

JANUARY 5, 2022

The overall theme is high-performing engineering teams are generally the ones that humanize the process. Fostering a healthy engineering culture. Engineering Manager, Slack . “It’s It’s hard to have one piece of practical advice because a team of engineers is a living, breathing entity. Am I a Monster?

Engineering 52

Engineering Performance How To Systems Review 52

Xebia

APRIL 5, 2022

In this scenario my integration tests are tests that involve the stubbing, so when I test the frontend, I stub the backend, making sure that when I run the integration tests, my backend does not need to run, and my mock acts as the backend, returning some fake data.

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Testing Load Balancer Strategy Examples 130

Hacker Earth Developers Blog

MAY 9, 2024

HackerEarth’s assessments can help you gain valuable insights into candidate strengths and weaknesses, helping you make data-driven hiring decisions and personalize onboarding experiences. Here are some best practices: Data migration: Ensure smooth data transfer from your existing systems to the new platform.

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InfoQ Culture Methods

SEPTEMBER 1, 2023

There’s an increasing concern about the energy use and corresponding carbon emissions of generative AI models. And while the concerns may be overhyped, they still require attention, especially as generative AI becomes integrated into our modern life.

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InfoQ Culture Methods

JANUARY 13, 2023

2022 was another year of significant technological innovations and trends in the software industry and communities. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch in 2023. This article is a summary of the 2022 software trends podcast.

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Trends Software Report Innovation 110

Honeycomb

APRIL 6, 2023

The future of observability has never been more exciting, and this latest round ensures we can continue to invest—with conviction—in improving the lives of software engineering teams. Engineering teams are recognizing observability as a distinct and emerging practice, and are hungry for a truly differentiated product like Honeycomb.

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InfoQ Culture Methods

FEBRUARY 16, 2023

Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.

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