CircleCI

SEPTEMBER 16, 2022

Each year we examine workflow data to illustrate how teams on our platform perform relative to four key metrics: Duration : The length of time it takes a workflow to run. Using this data, we can determine the habits and practices that lead to DevOps success so we can share these learnings and benchmarks with the community.

Metrics 64

Metrics Programming DevOps Software Review 64

Apiumhub

JULY 7, 2020

If you remember my article about Software Architecture Quality Attributes , you know that we have been conducting a survey to find out key software architecture metrics that leading companies and software architects use. So, let’s analyze software architecture metrics that got mentioned on the survey to build scalable projects. .

Metrics 94

Metrics Architecture Research Software 94

CIO

NOVEMBER 17, 2023

Managed service provider business model Managed service providers structure their business to offer technology services cheaper than what it would cost an enterprise to perform the work itself, at a higher level of quality, and with more flexibility and scalability.

Technical Review 320

Technical Review Artificial Inteligence Systems Review Artificial Intelligence 320

Honeycomb

JANUARY 5, 2024

Through the last decade, a tablestake function in software monitoring and observability solutions has been to save and track app metrics. There is a level of modern system complexity where relying on metric collection spirals into cost inefficiency. Each new host, pod, node, or service adds to the bill.

Software Review 107

Software Review Systems Review Metrics Technical Review 107

Sunflower Lab

MARCH 29, 2024

Forrester We are surrounded by recommendation engines, and yet we know nothing about them. A recommendation engine, as the name suggests, means an engine for recommendation. the engine finds patterns and trends to recommend personalized suggestions.

Engineering 40

Engineering Healthcare Systems Review Technical Review 40

Honeycomb

NOVEMBER 17, 2023

We will delve into observability’s key components, how observability differs from monitoring, observability’s benefits and challenges, and even go over how to implement observability with engineering teams. Observability starts by collecting system telemetry data, such as logs, metrics, and traces.

Metrics 126

Metrics Software Review Analysis Technical Review 126

Trigent

JUNE 10, 2022

How do you engineer for performance? This also brings to the fore predictive performance engineering – the ability to foresee and provide timely advice on vulnerable areas. The risks applicable to these issues can be classified based on various parameters like scalability, capacity, efficiency, resilience, etc.

Performance 52

Performance Applications Engineering Weak Development Team 52

CIO

FEBRUARY 7, 2024

Reverse-engineering automation may also be among the testing criteria, based on recently published UK government contracts, according to the report. None of the AI companies nor the AISI could be reached for immediate comment on Wednesday.

Report 297

Report Testing Artificial Intelligence Artificial Inteligence 297

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

FEBRUARY 15, 2024

Kubernetes, the de-facto orchestration platform, offers scalability and agility. By collecting and analyzing metrics in real-time, it enables teams to proactively identify and resolve issues before they impact users. In the dynamic world of cloud-native technologies, monitoring and observability have become indispensable.

Metrics 83

Metrics Open Source Scalability Agile 83

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. The following screenshot shows the results.

Artificial Inteligence 95

Artificial Inteligence Serverless Engineering Generative AI 95

Agile Engine

APRIL 8, 2024

A story about hiring the wrong person As a young engineer before joining AgileEngine, I had a co-worker. Many engineers intimately know the details of their chosen technologies but fail to solve unstructured problems that cover unfamiliar territory. Let’s call him Dave. One more observation: while some hard problem-solving skills (e.g.,

Engineering 52

Engineering How To Quality Assurance Software Engineering 52

TechCrunch

FEBRUARY 22, 2023

We’re genetically engineering them — insects that can be grown in simple plastic containers — and it is very, very scalable, cost effective and, importantly, circumvents the challenges associated with that infrastructure and frees that supply chain up for the people who actually need it or not, without creating more demand for it.”

Sustainability 242

Sustainability Scalability Infrastructure Research 242

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

CIO

FEBRUARY 8, 2024

In addition, vendor evaluations should include such basics as vetting the vendor’s experience, reputation, financial status, and so on, says Brooke Vemuri, vice president of business transformation and engineering at insurance firm Legal & General America. Ensure their services and future services align with your strategy,” Vemuri says.

Vendor Management 322

Vendor Management Technical Review Development Team Review Software Review 322

CIO

MARCH 26, 2024

IT leaders anticipating a longer-term need for strategic skills may want to supplement efforts to build their own talent pipeline with partners who can provide flexible staffing stopgaps and scalability , such as traditional multi-service providers, boutique firms, or freelance marketplaces, according to Forrester. “‘Gig

Technical Review 302

Technical Review Technical Advisors Development Team Review Artificial Inteligence 302

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

NOVEMBER 3, 2022

A long-time Googler, who’s role as engineering director saw her lead the Google Play developer ecosystem, Nikolic was keen for something new that offered a greater sense of social purpose. “ Horizontal team members own the platforms to ensure their robustness, reliability, latency and scalability so engineers can be productive.

CTO Coach 246

CTO Coach Development .Net Coaching 246

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. While this is true for many other roles, too, it really hits home in an engineering organization. Recognize the power of a great developer.

Technical Review 218

Technical Review Software Review Development Team Review Fractional CTO 218

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

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

AWS Machine Learning - AI

MAY 9, 2024

Verisk has embraced this technology and has developed their own Instant Insight Engine, or AI companion, that provides an enhanced self-service capability to their FAST platform. accelerate their adoption of the AWS Cloud by providing architectural guidelines to design innovative and scalable solutions.

Generative AI 109

Generative AI Artificial Inteligence Technical Review Development Team Review 109

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

Honeycomb

JANUARY 5, 2024

Through the last decade, a tablestake function in software monitoring and observability solutions has been to save and track app metrics. There is a level of modern system complexity where relying on metric collection spirals into cost inefficiency. Each new host, pod, node, or service adds to the bill.

Software Review 58

Software Review Systems Review Metrics Technical Review 58

CIO

JUNE 14, 2023

Focus on scalability. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications. So, how do we achieve scalability? Merely adding more data nodes is insufficient. This is why Cloudera’s single platform solution is so effective.

Data 157

Data Scalability Storage Big Data 157

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. It’s a prime example of a scalable business that employs machine learning and principled leadership to literally build a better future.”.

Sustainability 253

Sustainability Construction Tools Machine Learning 253

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

TechCrunch

MAY 3, 2023

Bend only buys those that cost at least $100 per metric ton. It’s investing in these very scalable carbon very sort of scientifically based carbon removal projects that, if successful, will come down the cost curve,” Power said. Bend’s current roster of projects includes CarbonCapture, Charm Industrial and Living Carbon.

Insurance 194

Insurance Scalability Storage Metrics 194

TechCrunch

OCTOBER 25, 2022

So every IoT-OT device has a physical presence that is managed by some non-security stakeholder, whether it’s facilities or an operations team member like an industrial engineer on a manufacturing floor or a clinical engineer on the hospital floor,” she said. When we spoke to her about her $1.75

IoT 179

IoT Scalability Metrics Internet 179

Netflix Tech

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! It opens doors to support more exciting use-cases. OK, Results?

Metrics 115

Metrics Systems Review Storage Weak Development Team 115

AWS Machine Learning - AI

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. Additionally, you can access device historical data or device metrics.

Artificial Inteligence 103

Artificial Inteligence Lambda Generative AI Knowledge Base 103

AWS Machine Learning - AI

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. These metrics include input/output tokens count, invocation metrics, and errors.

AWS 94

AWS Lambda Artificial Inteligence Performance 94

OTS Solutions

AUGUST 10, 2023

Having gone through the process with many companies, a DevOps engineer told me the five common DevOps mistakes organizations make when carrying out DevOps development for the first time. Let us discuss Common mistakes in DevOps metrics: 1. Which Key DevOps Metrics Should You Monitor? Failure to consider staffing and resources.

DevOps 130

DevOps Software Review Weak Development Team Artificial Inteligence 130

Honeycomb

NOVEMBER 1, 2023

SAN FRANCISCO, NOVEMBER 1 – Honeycomb, a leading observability platform that enables engineering teams to find and solve problems they couldn’t before, today announced it is launching Honeycomb for Kubernetes. Honeycomb for Kubernetes is available now to all Honeycomb users. For the team at Birdie Care, Sr.

Performance 84

Performance Applications Metrics Engineering 84

Mobilunity

MAY 13, 2021

In the modern business world, businesses need to have a robust, scalable, and efficient IT infrastructure to deliver integrated services that support the physical resources, processes, and operators need to develop, integrate, operate, and maintain IT applications and support services. The Role of an Infrastructure Engineer.

Infrastructure 52

Infrastructure Engineering Technical Review Systems Review 52

TechCrunch

DECEMBER 13, 2022

The crux of Sana is a platform and AI engine that connects to all of the different apps that an organization uses in the workplace — Salesforce, e-mail, Notion, GitHub, Slack, Trello, Asana and whatever else you might have to capture, source or store information and communicate with others.

Artificial Inteligence 245

Artificial Inteligence Education Enterprise Artificial Intelligence 245