A Supportive Engineering Culture is Key for Recruiting and Productivity
DevOps.com
MAY 8, 2023
Strong engineering talent allows businesses to increase productivity and meet customer demand faster, which is essential for long-term success.
CodeSignal secures $50M for its tech hiring platform
TechCrunch
SEPTEMBER 16, 2021
In less than a year after raising $25 million in Series B funding , technical assessment company CodeSignal announced a $50 million in Series C funding to offer new features for its platform that helps companies make data-driven hiring decisions to find and test engineering talent.
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Daily grabs another $40M so developers can add video, audio features to any product
TechCrunch
NOVEMBER 10, 2021
pushed providers to get better at both patient privacy and data interoperability, and that’s bearing fruit. Daily has real platform potential — it’s a great product with stellar engineering culture, coupled with Kwin’s experience building video for the enterprise. HIPAA legislation in the U.S.
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Astro emerges from stealth to connect Latin American developers with US tech companies
TechCrunch
AUGUST 29, 2022
. “With a very limited pool of engineering talent to hire from, we were stuck with three uncomfortable options: outsource our entire product, manage a large team of independent freelancers, or rely on an outsourcing company to create our engineering culture.
Codacy nabs $15M to improve code reviews with automation
TechCrunch
SEPTEMBER 22, 2022
Jorge said that Codacy “routinely” deletes customer data, including performance metrics, that are “no longer required to maintain the normal functioning operation of [the company’s] product[s].”
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Using team sentiment and process health metrics to identify developer burnout
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.
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Empowering Engineering Excellence: Achieving a 26% Reduction in On-call Pages at Amperity with Modern Observability for Logs
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? Interested in learning more?
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Article: The Top Three Priorities for Engineering Leaders in 2022 and Beyond
InfoQ Culture Methods
APRIL 14, 2022
For engineering leaders, the Great Resignation has made it clear that maintaining employee satisfaction should be a top priority in the coming year. By Lilac Mohr.
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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix
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.
Data Engineers of Netflix?—?Interview with Kevin Wylie
Netflix Tech
JULY 15, 2021
Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?
Article: Getting Rid of Wastes and Impediments in Software Development Using Data Science
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.
Is the power of people skills enough to keep gen AI in check?
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.” Previous generations of AI and analytics, big data, or streaming data, were led by technologies.
The Best Product Engineering Org in the World
James Shore
JANUARY 10, 2025
This is a big cultural shift! To help change the engineering culture, weve defined a lot of skills around communication and teamwork. A new engineer is expected to participate actively in team conversations. As a reminder, what Im trying to do here is to change the engineering culture at my company.
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Data Engineers of Netflix?—?Interview with Dhevi Rajendran
Netflix Tech
JUNE 1, 2021
Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.
DevOps vs. SRE: What’s the Difference Between Them, and Which One Are You?
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. JVM State: Threads, environment variables.
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Kafka Summit London 2019 Session Videos
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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Bringing AIOps to Machine Learning & Analytics
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.
Data Engineers of Netflix?—?Interview with Samuel Setegne
Netflix Tech
JUNE 1, 2021
Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical
Employee Spotlight: Zayo Engineer Mark Jensen
Zayo
FEBRUARY 28, 2020
With the rise of data consumption, only a few years ago capacity demands from a customer order were maybe for multiple 10ge’s or maybe a few 100Ges. What is it like to work in engineering at Zayo? What is unique about your culture? Our engineering culture is really a team atmosphere. We rely on each other.
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The Future of Observability is Bright as Honeycomb Announces $50M in Series D Funding
Honeycomb
APRIL 6, 2023
Start with a data format that lets you capture rich custom fields that matter to you (traces work great for this), then visualize whatever you want, seamlessly. No matter how good Honeycomb’s software (or AI in general) gets, your humans will always have context in their heads that isn’t reflected in your data.
Article: Agile Development Applied to Machine Learning Projects
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.
The Evolution of Engineering and the Role of Observability 2.0 in Shaping the Future
Honeycomb
SEPTEMBER 5, 2024
Imagine engineers getting instant feedback from a user who’s frustrated by a slow-loading feature—they’re not waiting weeks or months for this input anymore. Instead, they’re receiving real-time data that helps pinpoint the root cause of the issue so they can make targeted improvements to fix the user experience on the fly.
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Defining Simplicity for Enterprise Software as “a 10 Year Old Can Demo it”
Cloudera
NOVEMBER 12, 2021
It is a necessary cost to unlock a future where the average business user can get the full value from our Cloudera Data Platform by matching UX with their worldview and workflow. As an engineering culture we always want to provide unlimited flexibility to open up a world of opportunity. of clicks to set up their product, . #
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Building Your First Slack Bot with Block Kit – A Step-by-Step Guide
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.
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On Learning New Things
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.
Functional vs non-functional software testing
CircleCI
APRIL 20, 2022
Many healthy engineering cultures avoid relying heavily on user acceptance testing due to its unreliability, cost, and time consumption. Your team should test their applications regularly to make sure they are secure and handle data correctly. Security testing. Security testing comprises another set of non-functional tests.
3 Ways Cluster Sprawl Creates Significant Waste and Risk For Your Organization
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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Improve your Functional Monitoring with the Functional Monitoring Quadrants
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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I’m thinking about developer productivity.
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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Getting Stuff Done Days in Apiumhub: R&D in software development
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.
On Learning New Things
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.
6 Crucial Issues for Legacy.NET App Modernization
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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The Netflix Cosmos Platform
Netflix Tech
MARCH 1, 2021
The centralized data model that had served us well when we were a small team became a liability. The API provides strong contracts with its peers while segregating application data and binary dependencies from other systems. Our response was to create Cosmos, a platform for workflow-driven, media-centric microservices.
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Mastering Hardware: My Nand2Tetris Journey Begins
Xebia
JULY 27, 2023
This section introduced the Data Flip-Flop (DFF), the second (and last) primitive gate. Move that value into the data register ( D ). The ALU (Arithmetic Logic Unit) Instructions reference for the ALU Sequential Logic Thus far these chips had been working instantly—I fed in some input and immediately out came the result.
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How I use Gitlab – multi-project pipelines for Cypress E2E testing
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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Observability for New Teams: Part 1
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.
5 Ways to Increase Release Velocity with Observability
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. Also, Honeycomb and the open source framework OpenTelemetry (OTel) are truly better together.
SIMPLE Solutions
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.
Principal Engineer: role & responsibilities
Apiumhub
AUGUST 29, 2019
Alvaro Garcia – Principal Software Engineer at Apiumhub, Ruggero Tonelli – Principal Site Reliability Engineer at Netquest, Felix Kerger – Principal Developer Advocate at King, Corrado Calzoni – Principal Software Engineer at Roche, Stephan Lagraulet – Head of Engineering.
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How to Effectively Lead High-Performing Engineering Teams
Honeycomb
JANUARY 5, 2022
Fostering a healthy engineering culture. Charity and James also talked about how the right organizational culture fosters a ——and, combined with the right tooling (aka observability)—the teams that embrace both generally lead the pack when it comes to higher performance. . “The Am I a Monster?
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Making the Internet faster at Netflix
Hacker Earth Developers Blog
JUNE 26, 2020
I built a monitoring system, a number of data analysis tools. And for me, the big part of the success of growth was actually a step above the pure engineering architecture. It’s firstly rooted in the engineering culture because the first Netflix employees are great people.
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Build cloud infrastructure from your CI pipeline with Pulumi
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.
Transforming Financial Services with Modern Observability: Moov’s Story
Honeycomb
MARCH 18, 2024
Solution Moov initiated a vendor evaluation process with a primary focus on identifying a platform capable of managing high-cardinality data with the ability to trace down to a single request. It’s like having a shortcut because the high-cardinality data is structured in a way that allows us to see the end-to-end transaction.”
Article: Moving towards a Future of Testing in the Metaverse
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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