OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? Why are DevOps and Digital Engineering Important?

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? Why are DevOps and Digital Engineering Important?

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

CIO

DECEMBER 20, 2023

Gartner’s surveys and data from client inquiries confirm that developer productivity remains a top priority for software engineering leaders.” Therefore, engineering leadership should measure software developer productivity, says Mann, but also understand how to do so effectively and be wary of pitfalls.

Software Development 283

Software Development Software Development Metrics 283

Honeycomb

OCTOBER 1, 2022

But the industry is now bifurcating along an infrastructure fault line, and the overlap between infrastructure-oriented engineers and operationally-minded engineers is swiftly eroding. Engineers who love this work increasingly have a choice to make. We call those teams “platform engineering.” As we should.

Engineering 145

Engineering Software Review Software Engineering DevOps 145

Apiumhub

FEBRUARY 2, 2021

Let’s continue with our Software Architecture Journey: Key lessons learned series. This month Apiumhub team has interviewed Eoin Woods – Global Software Architecture Summit Speaker and CTO at Endava, where he leads the technical strategy for the firm, guides capability development and directs investment in emerging technologies.

Architecture 84

Architecture Software Software Engineering Conference 84

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. Overview of solution The first thing to consider is that different metrics require different computation considerations.

Artificial Inteligence 106

Artificial Inteligence AWS Lambda Metrics 106

AWS Machine Learning - AI

MAY 9, 2024

Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture. In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results.

Generative AI 109

Generative AI Artificial Inteligence Technical Review Development Team Review 109

Cloudera

JULY 21, 2022

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics.

Metrics 85

Metrics Data Technical Review Analytics 85

Apiumhub

OCTOBER 18, 2022

On October 3-4 we organized and hosted the Global Software Architecture Summit in Barcelona. This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. Attendees Profiles.

Software Review 52

Software Review Architecture Technical Review Software 52

Apiumhub

SEPTEMBER 3, 2023

Last October, Apiumhub organized the Global Software Architecture Summit in Barcelona. This event featured over 20 talks and workshops by experts in the software architecture industry, including Michael Keeling, author of “Design It!: What can you say about the Global Software Architecture Summit this year?

Architecture 81

Architecture Metrics Conference Software Engineering 81

CIO

APRIL 5, 2023

According to the study, IT departments today primarily use technical and IT-related metrics. Therefore, in practice, only a few metrics suitable for both sides would be found, and the result is the IT value proposition is often unseen. They also tested the concept in a German mechanical engineering company.

Metrics 275

Metrics Technical Review Study Analysis 275

Honeycomb

JULY 12, 2023

This post is part of a short series about my experience in the VP of Engineering role at Honeycomb. In February of 2020, I was promoted from Director of Engineering to Honeycomb’s first VP of Engineering. Not the plan I didn’t join Honeycomb with the goal of becoming an engineering executive.

Part-Time VPE 98

Part-Time VPE Engineering B2C Technical Review 98

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. These days, businesses use data to define their internal business objectives and metrics. Data lakes really became the cornerstones of modern big data architecture. Batch processing engines are used for data loading, conversion, and processing.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

Data Engineering 105

Data Engineering Engineering Data Systems Review 105

TechCrunch

JULY 8, 2022

As a result, the emphasis is often around financial performance, drilling down to detailed metrics such as gross margins, sales rep productivity, LTV, CAC, payback periods and more. Getting the tech architecture to scale is critical. While this is true for many other roles, too, it really hits home in an engineering organization.

Technical Review 218

Technical Review Software Review Development Team Review Fractional CTO 218

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. Data engineering is a set of operations aimed at creating interfaces and mechanisms for the flow and access of information. Explaining Data Engineering and Data Warehouse.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. What metrics are used to understand the business impact of real-time AI?

Artificial Inteligence 317

Artificial Inteligence Artificial Intelligence Machine Learning Agile 317

AWS Machine Learning - AI

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes. You then display the top similar results.

Artificial Inteligence 95

Artificial Inteligence Serverless Engineering Generative AI 95

Honeycomb

NOVEMBER 17, 2023

The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. Observability starts by collecting system telemetry data, such as logs, metrics, and traces. Software systems are increasingly complex.

Metrics 126

Metrics Software Review Analysis Technical Review 126

CIO

SEPTEMBER 26, 2023

1 Just as GenAI-powered tools like ChatGPT promise to accelerate insights and processes in increasingly complex business environments, AIOps does the same for IT as infrastructure and application architecture scales and gets more complex across core, edge, co-location, and multicloud environments. That just about covers all the bases.

Artificial Inteligence 320

Artificial Inteligence Artificial Intelligence Sustainability Systems Administration 320

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI. While the content presents a plausible vision, it cannot predict the future.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

Apiumhub

NOVEMBER 8, 2018

Chaos engineering steps. We need to define some execution parameters of our system (for example certain values of certain metrics) that define what is working in the expected way to be able to measure the differences when we cause the failure. And if you found this article about Chaos engineering interesting, you might like….

Engineering 76

Engineering Microservices Case Study Architecture 76

TechCrunch

DECEMBER 17, 2021

Powered by machine learning, cove.tool is designed to give architects, engineers and contractors a way to measure a wide range of building performance metrics while reducing construction cost. Cove’s software-driven approach has the potential to make architecture both easier and cleaner,” he wrote via email.

Sustainability 253

Sustainability Construction Tools Machine Learning 253

Apiumhub

JANUARY 12, 2021

Apiumhub team organized a Software Architecture Interview with João Rosa – GSAS speaker , Apium Academy Professor and Strategic Software Delivery Consultant @ Xebia to know more about key issues he has faced in the industry as well as recommendations he would like to give to his software architecture peers. .

Architecture 54

Architecture Software Review Software Systems Review 54

Cloudera

MAY 13, 2021

Are you using the right stream processing engine for the job at hand? but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Specifically, the whitepaper analyzes the technical and operational differences between modern processing engines from the Apache open source community.

Engineering 101

Engineering Comparison Open Source Scalability 101

Dzone - DevOps

JULY 1, 2022

Before the acceleration of modern DevOps practices , software engineers primarily wrote code. Now the job is so much more — from getting apps production-ready and iterating quickly to scale new services to architecting system compatibility and ensuring compliance and reliability — which has elevated the need for exceptional instrumentation.

Metrics 94

Metrics Software Engineering Compliance DevOps 94

Erik Bernhardsson

DECEMBER 12, 2023

Hire “architects” and require even small changes to have an “architecture review” Require even small changes to have a “security review” Product Dismiss useful metrics on academic grounds (e.g. Pick vanity metrics with little or no correlation with business value and high amount of noise.

Software Review 262

Software Review Weak Development Team Technical Advisors Software 262

CIO

NOVEMBER 9, 2022

Having that roadmap from the start helps to trim down and focus on the actual metrics to create. Have a data governance plan as well to validate and keep the metrics clean. As soon as one metric is not accurate it is hard to get the buy-in again, so routinely confirming accuracy on all analytics is extremely important.”

Analytics 327

Analytics Metrics Government Business Intelligence 327

CIO

OCTOBER 11, 2023

“When you look at the customer journey, many companies say they’re customer obsessed, but you bring that into the DNA by looking at the input metrics that impact the customer experience, not the output metric. Because if you start looking at output metrics that impact the customer experience, it’s too late.

Real Estate 190

Real Estate Technical Review Metrics Leadership 190

CIO

JANUARY 20, 2023

According to a recent IDC whitepaper , leaders saw on average two and a half times better results than other organizations in many business metrics. A big part of preparing data to be shared is an exercise in data normalization, says Juan Orlandini, chief architect and distinguished engineer at Insight Enterprises.

Data 300

Data Compliance Architecture Technical Review 300

Altexsoft

NOVEMBER 12, 2020

For over a decade, two similar concepts — DevOps and Site Reliability Engineering (SRE) — have been coexisting in the world of software development. Site Reliability Engineering or SRE is a unique, software-first approach to IT operations supported by the set of corresponding practices. Source: Site Reliability Engineering.

DevOps 96

DevOps Engineering Software Review Weak Development Team 96

Altexsoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Machine learning engineer vs. data engineer.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Apiumhub

OCTOBER 10, 2023

From software architecture experts to authors of renowned books and entrepreneurs, this list spans a diverse spectrum of tech influencers. He is a software engineer, consultant, and author of “Continuous Delivery”, “Modern Software Engineering,” “CD Pipelines,” and “ Software Architecture Metrics.

Media 85

Media Social Fractional CTO Software Engineering 85

Xebia

AUGUST 9, 2023

Machine Learning System Design is the iterative process of defining a software architecture. The design process is iterative because the environment and business requirements can change, affecting the architecture of your system. You will need to do some form of preprocessing and feature engineering.

System Design 130

System Design Systems Review System Machine Learning 130

CIO

OCTOBER 28, 2022

There is general consensus that in the short term I&O professionals need to impose order on chaos with the longer-term objective of structuring a catalogue of services featuring pre-vetted architectures establishing technology choice guardrails that guide and provide agility to the business. The same goes for fighter pilots.

Infrastructure 340

Infrastructure Recruiting Enterprise Exercises 340

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? To help her, Banon developed a search engine for her recipe collection. Analysis of logs, metrics, and security events.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

AWS Machine Learning - AI

MARCH 27, 2024

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

DevOps 83

DevOps Artificial Inteligence Generative AI Enterprise 83