The Netflix TechBlog

DECEMBER 3, 2019

A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like The steps can be arbitrary Python code. like they would do in a Jupyter notebook.

Open Source 232

Open Source AWS Infrastructure Energy 232

Dynatrace

DECEMBER 23, 2020

Especially in dynamic microservices architectures, distributed tracing is essential to monitor, debug, and optimize distributed software architecture, such as microservices. Debug systems, isolate bottlenecks, and resolve code-level performance issues. How does distributed tracing work?

Infrastructure 211

Infrastructure Cloud Monitoring Metrics 211

O'Reilly

OCTOBER 19, 2021

All ML projects are software projects. If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service.

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

Dynatrace

DECEMBER 23, 2020

Especially in dynamic microservices architectures, distributed tracing is essential to monitor, debug, and optimize distributed software architecture, such as microservices. Debug systems, isolate bottlenecks, and resolve code-level performance issues. How does distributed tracing work?

Infrastructure 148

Infrastructure Cloud Monitoring Metrics 148

O'Reilly

AUGUST 9, 2022

GitHub Copilot (based on a model named Codex , which is derived from GPT-3) generates code in a number of programming languages, based on comments that the user writes. Going in the other direction, GPT-3 has proven to be surprisingly good at explaining code. But it’s obvious where this is trending. But I don’t know if that’s true.

Programming 104

Programming Java C++ Design 104

The Netflix TechBlog

DECEMBER 3, 2019

A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like The steps can be arbitrary Python code. like they would do in a Jupyter notebook.

Open Source 134

Open Source AWS Infrastructure Energy 134

The Netflix TechBlog

MARCH 10, 2020

Having our core logic isolated means we can easily change data source details without a significant impact or major code rewrites to the codebase. One of the main advantages we also saw in having an app with clear boundaries is our testing strategy?—?the We try to minimize the amount of these tests.

Architecture 345

Architecture Transportation Java Strategy 345

O'Reilly

FEBRUARY 2, 2020

On one hand, ops groups are in a good position to do this; they’re already heavily invested in testing, monitoring, version control, reproducibility, and automation. First, the behavior of an AI application depends on a model , which is built from source code and training data. This has important implications for testing.

Software Architecture 67

Software Architecture Monitoring Software Engineering Architecture 67

Dynatrace

DECEMBER 16, 2019

NoOps: Reaching zero-incident prod through auto-remediation-as-code. Cloud-native software architectures provide the ability for deployment options , like Blue/Green, Canary, Dark Launches, and Feature Flagging – and make them easier. Key learning 6: NoOps: Reaching zero-incident prod through auto-remediation-as-code.

DevOps 103

DevOps Software Software Best Practices 103

Smashing Magazine

NOVEMBER 22, 2021

And once the teams started working off of the knowledge, it meant organizing performance-focused design and code reviews, training and education, plus providing tools and assets to support these ongoing efforts. In particular, lab tests are critical for implementing performance budgets in order to prevent performance degradations.

Website 126

Website Performance Google Media 126

O'Reilly

NOVEMBER 12, 2019

Writing code for one vendor platform does not make it portable or simple to move elsewhere. Integration/testing is harder” ranked as the third biggest worry, noted by 30% of respondents. Testing is more complex and labor intensive for serverless architectures, with more scenarios to address and different types of dependencies (e.g.,

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Strategic Tech

MARCH 16, 2021

There are a few qualities that differentiate average from high performing software engineering organisations. I believe that attitude towards the design of code and architecture is one of them. The same mindset should also be applied to architecture; involve the whole team and challenge the small details.

Software Engineering 80

Software Engineering Design Engineering Software 80

Abhishek Tiwari

JULY 20, 2019

In this model, software architecture and code ownership is a reflection of the organisational model. Either they try to build perfect products or worse use their time to perfect their code by excessive re-factoring and re-engineering. Remember code ownership is overrated. Remember code ownership is overrated.

Engineering 61

Engineering Retail Airlines Healthcare 61

cdemi

DECEMBER 16, 2017

million on this mission and have the probe crash into the Martian atmosphere because two teams of software engineers, who both wrote great code, did not communicate together and did not follow specifications. Tests are fundamental. What a blow to space exploration it was to have spent $327.6

Software 73

Software Software Programming Software Engineering 73

O'Reilly

MARCH 2, 2020

Fetishizing unit testing. It’s not about getting software developers to write code faster. Development timelines for these projects aren’t as predictable as traditional software; they stretch the meaning of “testing” in strange ways; they aren’t deterministic. What is modern Agile?

Artificial Intelligence 20

Artificial Intelligence Software Architecture Programming Infrastructure 20

The Symphonia

MAY 22, 2018

In testing we have seen some advances in tools, and in mindset. Lambda and Azure functions both now offer some amount of local-integration testing. On the other hand I’m more convinced that for automated testing we should just be using real cloud environments. this is something even John and I don’t completely agree on.

Serverless 40

Serverless Architecture Lambda Azure 40

Strategic Tech

AUGUST 1, 2019

Along with tangled code, this could mean a large scale coordination across many teams if the notifications approach changes. It needs to know when to send notifications and what type of notification to send. Is it sensible to have notifications logic scattered throughout all of the bounded contexts?

Architecture 40

Architecture Design Engineering Best Practices 40

Strategic Tech

JULY 22, 2019

In Domain-Driven Design, a large system is decomposed into bounded contexts , which become natural boundaries in code as microservices and as teams in the organisation. This is the question I get asked the most, so I’ve put together this article describing a workshop recipe you can use. There is no shortcut to identifying good boundaries.

Design 76

Design Systems Strategy Processing 76

Strategic Tech

DECEMBER 2, 2018

Multiple teams who must work very closely together even though they really don’t want to or have any reason to if not for the organisational coupling necessitated by the technical coupling in the code. Without this planning, you are pitting teams against each other.

Efficiency 40

Efficiency Speed Innovation Transportation 40

Tasktop

OCTOBER 30, 2019

Over the past months, a number of Fortune 100 customers have been testing Tasktop’s new product, Tasktop Viz , to implement the Flow Framework. Just look at how ugly that service-oriented architecture is!” Day two recap. By creating a self-service on-demand environment for developers, they could move to same-day delivery.

DevOps 8

DevOps Education Innovation Metrics 8