RapidValue

APRIL 20, 2020

Some of the notable technologies and tools boosting the cloud-native model are microservices, containerization, Agile methodology, CI/CD and the like. . With faster deployments, scalability and improved visibility across applications, cloud computing is a hit among DevOps-minded teams. Burgeoning Container Services. billion by 2023. .

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Trigent

MARCH 8, 2021

Outsourcing QA has become the norm on account of its ability to address the scalability of testing initiatives and bring in a sharper focus on outcome-based engagements. Clear and effective communication is an integral component of QA, more so when DevOps, Agile, and similar collaboration-heavy initiatives are pursued achieving QA at scale.

Testing 98

Testing Software Review DevOps Technical Review 98

Cloud That

NOVEMBER 23, 2022

By combining teams, procedures, and technology to produce an ever-evolving software development lifecycle (SDLC), DevOps has opened the way for quicker and more agile software development processes. These cloud products provide practically limitless scalability and efficiency to teams located all over the world.? . Conclusion.

Azure 82

Azure DevOps Testing Google Cloud 82

Trigent

AUGUST 22, 2023

Clearly, staying on top of the game while winning the war on scalability, performance, and security is easier said than done and necessitates that they have a versatile and reliable technology partner to collaborate with. It emphasized the importance of having a flawless SDLC. A classic case in point? A blood-testing startup!

Technical Review 52

Technical Review Technology SDLC Software Review 52

CollabNet VersionOne

JANUARY 10, 2018

I was recently joined by Diego Lo Giudice from Forrester Research for a CollabNet webinar titled, “ Agile + DevOps Success: The Key to Optimizing Value Streams Without Increasing Risk.” Together, we discussed using value streams for success in Agile and DevOps and how enterprises can start leveraging value streams today.

SDLC 40

SDLC Agile DevOps Scalability 40

Openxcell

SEPTEMBER 11, 2023

Fast technical trends require businesses to deliver services and products to market in much less time t DevOps practices can help achieve this and help software companies by improving agility. Since Continuous Delivery demands continuous integration and iterations, one gets an improved, more reliable process in the SDLC cycle.

DevOps 52

DevOps Disaster Recovery SDLC Continuous Delivery 52

Gorilla Logic

APRIL 20, 2022

Quality Assurance (QA) testing, as a function of a cross-functional Agile development team, can help strike that balance. By using a combination of skills, practices, and tools, the QA function (made up of one or more QA practitioners) supports the software development lifecycle (SDLC) from start to finish. Requirements analysis.

Quality Assurance 52

Quality Assurance Testing Software SDLC 52

Cloudera

SEPTEMBER 30, 2022

CDF-PC’s DataFlow Deployments provide a cloud-native runtime to run your Apache NiFi flows through auto-scaling Kubernetes clusters as well as centralized monitoring and alerting and improved SDLC for developers. build high performant, scalable web applications across multiple data centers). Improved developer agility.

Serverless 73

Serverless Microservices Lambda IoT 73

Openxcell

DECEMBER 22, 2021

Continuous Testing in DevOps is the uninterrupted process of constant testing at every stage of the Software Development Lifecycle (SDLC). Continuous testing helps break down the complexities in multilayered architectures by utilizing an automated and scalable testing solution. Scalability problem due to improper tool.

DevOps 52

DevOps Testing Software Review Weak Development Team 52

Trigent

MAY 24, 2023

The Benefits of Codeless Test Automation Codeless Test Automation is the next area of ​​focus for Agile and DevOps teams. As a result, testing becomes an essential part of the entire SDLC. Its capabilities, like Self-Healing and Natural English Coding, draw the special attention of testing and Agile teams. Call Us Now

Technical Review 52

Technical Review Technology Artificial Inteligence Software Review 52

Apiumhub

FEBRUARY 27, 2019

Orchestration is critical to the SDLC to smoothen, trigger, and advance the provisioning and configuring of applications. This behavior of microservices makes them scalable as compared to traditional applications that are deprived of automation. The idea is to achieve higher speed, scalability, and quality.

Architecture 40

Architecture Software Cloud Development 40

Coveros

JANUARY 8, 2024

Low-code/no-code platforms also provide an environment conducive to experimentation and rapid iteration that aligns well with today’s need for more business agility. Automation End-to-end development platforms automate routine tasks and software development lifecycle (SDLC) workflows.

Software Development 59

Software Development Software Review Software Development 59

Altexsoft

MAY 13, 2023

Creating and developing automated testing frameworks In testing, as a part of a software development life cycle (SDLC) , an automation framework is a set of process steps, tools, and guidelines used to create a shared process of automation, and build further test cases. Contents of CTFL-AT certification.

Software Development 52

Software Development Software Review Engineering Testing 52

Altexsoft

MAY 13, 2023

Creating and developing automated testing frameworks In testing, as a part of a software development life cycle (SDLC) , an automation framework is a set of process steps, tools, and guidelines used to create a shared process of automation, and build further test cases. Contents of CTFL-AT certification.

Software Development 52

Software Development Software Review Engineering Testing 52

Codegiant

AUGUST 15, 2021

But, that’s not the right approach for agile projects. Agile projects are subject to high levels of uncertainty. And despite agile projects being subject to high levels of uncertainty, it’s critical to capture the product requirements?—?it’s Agile processes successfully harness change for the customer’s competitive advantage.”

SCRUM 52

SCRUM Software Review Weak Development Team Technical Review 52

Existek

DECEMBER 20, 2021

It has high performance because it was initially designed for optimizing the scalability of apps and their capacity. Knowledge of various SDLC models with a focus on Agile development. Moreover, such an operation doesn’t require a significant amount of CPU. has proven itself excellent for real-time web apps. CONCLUSION.

Weak Development Team 52

Weak Development Team Development MVC Technical Review 52

Openxcell

FEBRUARY 8, 2021

It should offer integrated and embedded tooling to backup agile development. Read This: Agile Methodologies: What is the Agile Software Development Model? Read This: What is SDLC (Software Development Life Cycle)? It is scalable, agile, and supports more than 10,000 apps. Scalability. DevOps Support.

Software Review 52

Software Review Mobile Weak Development Team Software 52

Codegiant

AUGUST 15, 2021

But, that’s not the right approach for agile projects. Agile projects are subject to high levels of uncertainty. And despite agile projects being subject to high levels of uncertainty, it’s critical to capture the product requirements — it’s not debatable. Let’s dive in straight away.

SCRUM 52

SCRUM Software Review Weak Development Team Technical Review 52

Codegiant

AUGUST 15, 2021

But, that’s not the right approach for agile projects. Agile projects are subject to high levels of uncertainty. And despite agile projects being subject to high levels of uncertainty, it’s critical to capture the product requirements — it’s not debatable.

SCRUM 52

SCRUM Software Review Weak Development Team Technical Review 52

Existek

NOVEMBER 22, 2021

Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. First of all, enterprise solutions have to be highly scalable and perform well. It implies choosing the suitable SDLC model, forming a team of qualified and responsible developers, deciding on the tech stack, etc. Contact Us.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

LaunchDarkly

JANUARY 17, 2019

“We’re very laser-focused on making the developer extremely successful and happy and comfortable, comfortable that we’re reliable, comfortable that we’re scalable, comfortable that we can handle their load. ’ That’s very liberating to the developer. How should PMs be using feature flagging?

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

CIO

JANUARY 15, 2025

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]

Generative AI 173

Generative AI Applications Artificial Inteligence Azure 173

CIO

JANUARY 15, 2025

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]

Generative AI 159

Generative AI Applications Artificial Inteligence Azure 159

CIO

MARCH 25, 2025

What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. For this reason, organizations with significant data debt may find pursuing many gen AI opportunities more challenging and risky.

Technical Review 210

Technical Review Weak Development Team Software Review Database Administration 210

Modus Create

FEBRUARY 12, 2025

Beyond IDEs (integrated development environments), it will integrate across the software development lifecycle (SDLC), with AIOps optimizing CI/CD pipelines and project management tools providing predictive insights for resource allocation and task prioritization. AI is emerging as a central force in how we build, test, and innovate.

Weak Development Team 40

Weak Development Team Trends Development Technical Review 40