CIO

JANUARY 19, 2023

As companies shift their focus from the digital transformation of individual processes to the business outcomes enabled by a digitally transformed organisation, software engineering will become a core enterprise capability. 61% of respondents rated the performance of OSS as being superior compared to proprietary software.

Open Source 315

Open Source Software Review Technical Review Enterprise 315

Modus Create

JULY 28, 2020

To do that, developers need to integrate microservices. Microservices. As software engineers, we are always working to deliver better applications for our users. There are many different approaches that software architects can apply when working with microservices. But what happens with our database?

Microservices 52

Microservices Load Balancer Applications Tools 52

Xicom

APRIL 28, 2020

Microservices design has become an intriguing issue in the product backend improvement world. There are two significant sorts of programming engineering: monolithic and microservices. There are two significant sorts of programming engineering: monolithic and microservices. Advantages of Monolithic Architecture.

Microservices 52

Microservices Architecture Engineering Applications 52

Altexsoft

JANUARY 6, 2022

For example, medical software dealing with protected health information (PHI) must meet HIPAA rules. In software engineering, technical feasibility (TF) is the most time-consuming and complex part of the full feasibility analysis. fundamental redesign — say, you’re going to break your monolithic system into microservices.

Technical Advisors 64

Technical Advisors Technical Review Software Engineering Software Review 64

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

Microservices 75

Microservices Weak Development Team Machine Learning Artificial Inteligence 75

OpenCredo

APRIL 18, 2018

It’s been a few years since I first wrote The Seven Deadly Sins of Microservices after working on a few early microservices projects and noticing a number of common pitfalls. Indeed, quite a few of the anti-patterns we observe today on microservices projects are strongly related to how people approach the problem.

Microservices 40

Microservices SOA Architecture Infrastructure 40

Apiumhub

DECEMBER 4, 2023

Severn boasts over ten years of experience in the software engineering field, having contributed to software development enterprises in the United States, India, Germany, the Netherlands, and Spain. Javier brings over a decade of expertise to his roles as a software engineer and team leader.

Software Review 85

Software Review Software Technical Review Technical Cofounder 85

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. Example of service helm chart: # {prod,stage}_values.yaml.

Microservices 130

Microservices Software Review Resources Metrics 130

LaunchDarkly

JANUARY 17, 2019

In episode 729 of Software Engineering Daily, Jeff Meyerson talks with our own Edith Harbaugh, CEO and Co-founder of LaunchDarkly, about feature flagging. This episode was originally published on December 11, 2018 on the Software Engineering Daily site. Jeff Meyerson (JM): Releasing software has inherent risk.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Apiumhub

MARCH 30, 2023

Optimized costs When a custom software development company is based in Barcelona, for example, that provides high-added value custom software development services and solutions at a lower cost relative to the Scandinavian market, DACH market, or the US.

Software Review 70

Software Review Software Development Software Technical Review 70

Apiumhub

JULY 21, 2022

A talk masterfully conducted by Eric Johnson who not only has demonstrated his level of experience in events of this type, but with his naturalness and approachability, breaks down biases and emphasizes a fact that should be our maxim as software engineers: technology should be used by and for the benefit of mankind.

Technical Advisors 83

Technical Advisors Serverless Microservices Software Engineering 83

O'Reilly Media - Ideas

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. More than half of respondent organizations use microservices. So we constructed a survey and ran it earlier this year: from January 9th through January 31st, 2020.

Cloud 143

Cloud Microservices Serverless Survey 143

Bernd Rucker

MARCH 25, 2021

A Book about Orchestration and Integration in Microservices and Cloud-Native Architectures It is done and I am happy to share that my new book called “Practical Process Automation” is officially published by O’Reilly. Therefore they cannot be addressed by off-the-shelf application software. Who This Book is For?

Software Review 80

Software Review Microservices Technical Review Architecture 80

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. What is observability?

Software Development 52

Software Development Software Development Metrics 52

Exadel

APRIL 13, 2021

Say you have a big ASP.NET project with microservice architecture and complex infrastructure (security, CI & CD, audit, logging, etc.). Although infrastructure can be reimplemented in a Python microservice, it requires a lot of effort and Python software engineering skills. Lack of comprehensive ML examples.

Machine Learning 119

Machine Learning Artificial Inteligence Microservices Training 119

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

Netflix Tech

OCTOBER 28, 2021

Interview with Pallavi Phadnis 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. Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi, what’s your journey to data engineering at Netflix?

Data Engineering 69

Data Engineering Engineering Data Software Engineering 69

CIO

DECEMBER 19, 2022

Through the new state-of the-art innovation centre, we intend to attract skilled resources in the areas of product management, data sciences, user experience, and software engineering. Let me illustrate this with the example of collections. These solutions and the others in the pipeline will add to the company’s top line.

Innovation 287

Innovation Artificial Inteligence Blockchain Machine Learning 287

Apiumhub

SEPTEMBER 14, 2022

Before the online edition, you have a chance to attend a 100% offline event dedicated to software architecture that will take place in Barcelona (October 3-4). Geekle events are always huge! We participated in the previous edition as speakers and we absolutely loved it, can’t wait to attend this event again!

Software 65

Software DevOps Architecture Blockchain 65

Capgemini

APRIL 20, 2022

Capgemini’s Digital Cloud Platform (DCP) for Restaurants is a high-velocity software engine that enables rapid innovation for restaurant businesses. For example, the product-management business process provides functions to create a product catalog, search products, and manage real-time menu updates. Solution overview.

Cloud 52

Cloud AWS Microservices Architecture 52

Honeycomb

JULY 17, 2023

For example: How do you debug problems? 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

Modus Create

DECEMBER 30, 2020

For many years now we’ve been talking about microservices, the approach, techniques, pros and cons, the wheres and whys, and how to use it. As with everything in software engineering, microservices is another set of patterns full of solutions and trade-offs. The Asynchronous Nature of Microservices.

Microservices 52

Microservices Architecture Banking Software Review 52

Honeycomb

NOVEMBER 17, 2023

The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. Observability is not just a buzzword; it’s a fundamental shift in how we perceive and manage the health, performance, and behavior of software systems.

Metrics 126

Metrics Software Review Analysis Technical Review 126

Apiumhub

JUNE 13, 2023

These interviews are a valuable resource that can be helpful for those interested in starting a career in software development or in listening to expert advice. Inma started working as a software developer back in 2012, and now she works as a backend competence lead at Mango.

Software Development 65

Software Development Software Review Software Development 65

Netlify

MAY 26, 2021

Moriel is a physicist turned software engineer turned systems architect, currently working on modernizing Wikipedia’s architecture. Take Neutrality.wtf , for example. The whole point of serverless microservice architecture is that the server is only used when needed — making the operation and delivery fast and efficient.

Serverless 111

Serverless Microservices Architecture Tools 111

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. Consul is another arrow in our quiver of DevOps tools. What is Consul?

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Initially, companies utilized Kubernetes mainly for running containerized microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. An example can be the backend architecture for an insurance product. This leads us to event streaming microservices patterns. Schemas and APIs are contracts between services.

Microservices 110

Microservices Architecture Software Review Insurance 110

Apiumhub

OCTOBER 7, 2021

Also, he will present code examples, mostly in Java and Scala. Understand your systems with OpenTelemetry by Carolina Zhou Lin – Software Engineer at Voxel Group and Xavier Belloso – Senior Software Engineer en baVel – Voxel Group. Systems can become increasingly complex.

Software Review 52

Software Review Software Development Technical Review 52

Exadel

FEBRUARY 7, 2020

Using real-world examples from his own experience, Jonathan will explain how to implement these best practices and start moving to the cloud with ease. . In addition, CrossKube has full support for Kubernetes, Bastion Firewall, multiple data sources, microservice architecture, QA automation, and Zabbix monitoring.

Conference 52

Conference Firewall Google Cloud Microservices 52

Confluent

AUGUST 1, 2019

At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system. At the core of each shared state microservice we built was a Kafka Streams instance with a rather simple processing topology.

Microservices 20

Microservices Systems Review System Software Review 20

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 Microservices Engineering 98

Modus Create

OCTOBER 6, 2021

Multiple industries employ outdated software in their core operations and only consider modernization when a critical technology in their stack becomes unsupported (for example, an older version of Java or PHP is sunsetted). Another popular example of modernizing applications is by decoupling front-end and back-end codebases.

Technical Review 98

Technical Review UI/UX Applications Software Review 98

CircleCI

OCTOBER 25, 2021

This post was written by Stig Brautaset, CircleCI Senior Software Engineer, in collaboration with Cian Synnott, CircleCI Senior Staff Software Engineer. Retrospectives are a well-established resource in the software and systems engineering toolbox. Structure for personal retrospectives and examples.

Engineering 104

Engineering Software Review Weak Development Team Systems Review 104

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.) For example from the previous page to the new page, or from 0 to the new page). and business capabilities.

UI/UX 87

UI/UX Technical Review Software Review TDD 87

Confluent

FEBRUARY 6, 2019

Both the stablest and most cutting edge APIs, as well as the majority of examples and tutorials use Python APIs. This option is great if you: a) have data scientists who can write Java or b) have software engineers who understand machine learning concepts enough to build analytic models. Data scientists love Python, period.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Agile Engine

FEBRUARY 13, 2024

Additionally, automation empowers the software engineering teams to channel their resources into more complex and critical aspects of product development, enhancing overall efficiency. Time-saving through faster test runs Automated tests run at a pace incomparable to manual testing, accelerating the overall testing phase.

Testing 52

Testing Strategy Software Review How To 52