Cloudera

NOVEMBER 16, 2021

It also effectively provides a serverless architecture and is very widely used when building microservices applications. Any customer willing to run NiFi flows efficiently at scale should now consider adopting CDF-PC. However, for certain use cases, we want to go one step further.

Serverless 110

Serverless Microservices Lambda KPI 110

Prisma Clud

OCTOBER 24, 2024

Whether working with Docker files, identity systems, microservices or serverless functions, each component presents security risks that must be addressed early. When vulnerabilities emerge at these late stages, fixing them becomes complicated, as microservices lack on-the-fly patching capabilities.

SDLC 69

SDLC Microservices Cloud Serverless 69

d2iq

AUGUST 7, 2023

Only 22% of respondents said their company uses microservices, while in our 2022 Microservices survey, the rate was 93%, and in the 2021 Containers survey, it was 74%. Respondents at organizations using microservices had significantly more code and computational work running in containers.

Survey 52

Survey Microservices SDLC Trends 52

Daniel Bryant

MARCH 10, 2020

Speed and stability, platforms, and full cycle development The emergence of “cloud native” technologies and practices, such as microservices, cloud computing, and DevOps, has enabled innovative organisations to respond and adapt to market changes more rapidly than their competitors. Accordingly, the cloud native SDLC is very different.

Cloud 52

Cloud SDLC Microservices Quality Assurance 52

Cloudera

SEPTEMBER 30, 2022

New use cases: event-driven, batch, and microservices. 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.

Serverless 73

Serverless Microservices Lambda IoT 73

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. . Containers aid in rolling out faster updates because the application is distributed into different microservices that are hosted in different containers. The Switch to Assembly Lines.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Blue Sentry

MAY 17, 2021

Even if they do, many projects get stuck in the ever-so-fragile SDLC. When we look at ML deployments, there are a ton of different platform and resource considerations to manage, and CI/CD (Continuous Integration & Continuous Delivery) teams are often managing all of these resources across a variety of different microservices (i.e.,

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

RapidValue

JULY 27, 2020

Also, one must measure the various aspects of the SDLC for continuous improvement in your business processes and for the business to scale new heights. With that in mind, it is important to focus on its implementation, and for that, one must include the above-mentioned list of metrics as a part of the workflow. By, Amritha Nampalat.

Metrics 95

Metrics Agile Development Software Review 95

StubHub

NOVEMBER 5, 2018

Auto-scaling microservices clusters to drive higher utilization ? Full automation of the software development life cycle (SDLC) using Concourse pipeline continuous integration/continuous deployment (CI/CD) that incorporates full test automation ? Hybrid deployment allows services to incrementally move to microservices.

Architecture 40

Architecture Weak Development Team SDLC Microservices 40

Modus Create

JUNE 20, 2023

You can think of them as microservices but for UI. implemented security practices earlier in SDLC) or are planning to this year. Imagine a music streaming app like Spotify. In the traditional monolith approach, the entire app’s functionalities would be in a single codebase. If any part of the app goes down, the entire app can fail.

Trends 75

Trends Development Serverless Technical Review 75

Modus Create

OCTOBER 6, 2021

Similarly, breaking down app functionality into API-accessible microservices can help you pay your technical debt more incrementally. . In a 2020 GitLab survey , the percentage of respondents who had largely or even completely automated their SDLC was 8%. This affords developers more room for innovation and shortens deployment time.

Technical Review 75

Technical Review UI/UX Applications Software Review 75

Cloudera

MAY 1, 2023

By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions. brokers, trust store) Catalog properties (e.g.

Resources 79

Resources SDLC Virtualization Testing 79

Openxcell

JANUARY 19, 2022

To improve security at every stage of the software development lifecycle, engineering teams must build it in from the start (SDLC). Challenges in infrastructure to microservices. Security can no longer be divided into compartments. People always think of – what does DevSecOps stand for? Shortage of AppSec tool integration.

Software Review 52

Software Review Technical Review Compliance DevOps 52

Apiumhub

FEBRUARY 27, 2019

This new idea is based on JenkinsX that enables developers to deploy Kubernete’s microservices. Every cloud application has four important elements: “Continuous delivery, Containers, Dynamic Orchestration, and Microservices ”. Microservices. Microservices are cloud-oriented services that deal with different cloud operations.

Architecture 40

Architecture Software Cloud Development 40

Modus Create

JUNE 21, 2022

Automating Security In Your SDLC. For example, a microservices architecture introduces new infrastructure components and unknown attack surfaces. The key to ensuring that security is an essential part of your delivery pipelines while maintaining faster releases is, again, automation. Pre-commit Hooks.

Software Review 40

Software Review Open Source Systems Review Analysis 40

OpenCredo

FEBRUARY 11, 2022

In a microservices (or even nanoservices, as serverless functions are sometimes known) architecture, there are inherently lots of components, modules, and services that form part of an application or platform. This can make testing a chore, and sometimes a neglected part of the SDLC for these platforms.

Serverless 40

Serverless Testing Software Review Lambda 40

Capgemini

MARCH 31, 2024

Unlocking the potential of generative software engineering: Lessons from the past, projections for the future The transformative journey of software engineering, from procedural development to object-oriented programming, to cloud and microservices, revolutionized how we build and maintain software.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

Modus Create

JUNE 18, 2021

SDLC (Software Development Life Cycle) of the organization . Due to innovations in public clouds and microservices, product releases have become much more frequent than before. This mainly involves gathering information on: Tools such as DevOps pipelines, CI/CD, and static analysis solutions. The hosting and deployment infrastructure.

Software Review 40

Software Review Development Team Review Technical Review Systems Review 40

Daniel Bryant

MARCH 18, 2020

Full Cycle Developers: More Feedback, Faster When adopting a cloud native approach, developers need to be able to run through the entire SDLC independently. For example, as developers embraced the microservices architectural style, they frequently exposed more APIs at the edge of the system.

Development 52

Development Cloud Software Review Systems Review 52

LaunchDarkly

JANUARY 31, 2019

They can even instrument microservices with circuit breaker flags that will prevent cascade failures. Teams can check their code in early to reduce long-lived branches, they can test their code and validate their ideas, and they can protect their services and their users as they roll out new features.

Continuous Delivery 40

Continuous Delivery DevOps Agile Continuous Integration 40

Openxcell

FEBRUARY 8, 2021

The mobile app development platform architecture should support various API mediation, microservices, event-driven, serverless requirements to build a robust mobile application. Read This: What is SDLC (Software Development Life Cycle)? Core Back-end Services.

Software Review 52

Software Review Mobile Weak Development Team Software 52

LaunchDarkly

JANUARY 17, 2019

We have customers like IBM who use us to manage microservices. It was from this idea that we would help people with a dark launch. What we found overtime is that feature flags are just so powerful. We have other customers who use us to manage their own subscription plans.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

CIO

MARCH 25, 2025

Just as no one wants to run mission-critical systems on decade-old hardware, modern SDLC and DevOps practices must treat software dependencies the same way keep them updated, streamlined, and secure. The average app contains 180 components , and failing to update them leads to bloated code, security gaps, and mounting technical debt.

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.

Weak Development Team 40

Weak Development Team Trends Development Technical Review 40

AWS Machine Learning - AI

JANUARY 15, 2025

The app container is deployed using a cost-optimal AWS microservice-based architecture using Amazon Elastic Container Service (Amazon ECS) clusters and AWS Fargate. Multiple LangChain functions, such as CharacterTextSplitter and embedding vectors, are used for text handling and embedding model invocations.

Automotive 79

Automotive Artificial Inteligence AWS Technical Review 79