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DevOps and the implementation of more no-code and low-code applications are changing the way organizations approach software development. Does software maintenance need to change, too?
DevOps is speeding up software release cycles like never before. But according to GitLab's latest survey, finger-pointing over who should be in charge of security remains an issue.
F5 is evolving its core application and load balancing software to help customers secure and manage AI-powered and multicloud workloads. The tool is powered by the F5 AI Data Fabric and serves as an intelligent partner to stretched NetOps, SecOps, DevOps, and platform ops teams.
It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. While advancements in software development and testing have come a long way, there is still room for improvement. Realize the value of each of these technologies across DevOps categories.
Past and future technologies and paradigms shifts like Agile, DevOps, low-code, and even AI have been reshaping the software development world. The software development lifecycle (SDLC), is being accelerated and reimagined as a process happening in real-time. We’ve tried Agile, DevSecOps and LowCode, Now What?
Open source dependency debt that weighs down DevOps As a software developer, writing code feels easier than reviewing someone elses and understanding how to use it. Options to reduce data management debt include automating tasks, migrating to database as a service (DbaaS) offerings, and archiving older datasets.
Developers and data scientists can work together using MLOps through a shared methodology to make sure that machine learning initiatives are in line with wider software delivery and, even more broadly, IT-business alignment.
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In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.
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By Milan Shetti, CEO Rocket Software. As employees and customers demand higher-quality digital experiences, companies must ensure their DevOps processes are modern and capable of keeping up with the complexities of today’s business. A modern DevOps solution allows employees to automate the deployment process.
In the rapidly evolving landscape of software development, one month can be enough to create a trend that makes big waves. This approach to software development uses […] In fact, only a month ago, Andrej Karpathy, a former head of AI at Tesla and an ex-researcher at OpenAI, defined vibe coding in a social media post.
Despite the talk about how automation can make employees and businesses more productive, managing it across the entire DevOps chain is a complex task. Especially as companies increasingly adopt hybrid cloud infrastructure, addressing the growing complexity in the DevOps toolchain requires total visibility and control of end-to-end processes.
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
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However, the DevOps teams that release new features constantly within the same organization dont go through the traditional change approval process. DevOps may push thousands of changes daily, and the CAB process is simply too slow. or Can I look at similar changes? or Can I look at change collision?
El software y los servicios que una organizacin elija para impulsar su negocio pueden determinar el xito general o el fracaso de ste. Oracle Oracle ofrece una amplia gama de software , hardware y herramientas empresariales diseadas para respaldar la TI empresarial, con un enfoque en la gestin de bases de datos.
As executive teams put more pressure on internal teams to speed digital transformation in 2021, how will software developers respond? Find out in our 2021 predictions for software development.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
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Haiby explained that L3AFsAPI-driven approach simplifies the deployment and scaling of network monitoring and control eBPF programs.The 100% software-based approach of eBPF and L3AF eliminates the need for dedicated costly networking hardware devices that tend to become performance bottlenecks, he said.
AI assistants are only the beginning of the generative AI software development revolution. Find out what’s in store for software developers in our 2025 predictions for software development.
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Autonomous AI agents are software entities capable of performing tasks on their own, rather than only responding to queries from humans. As a result, they improve CI/CD velocity and cross-team collaboration, particularly between DevOps and service management teams.
Speaker: Roy Osherove, Technology and Leadership Consultant
As a senior software leader, you spend much of your time trying to optimize your team's performance – from increasing delivery rate and velocity to reducing defect rates and waste. To do this, you've learned a wide variety of techniques and methodologies - SCRUM, Kanban, TDD, DevOps, self-organized teams, and much more.
While Don is not a software professional himself, he is widely respected and cited by many authors writing on Agile, DevOps, and related topics. Notes: Don Reinertsen is one of the most influential voices in Agile methods.
3] Looking ahead, GenAI promises a quantum leap in how we develop software, democratising development and bridging the skill gaps that hold back growth. The Software Development Life Cycle (SDLC) will be redefined and various job roles will merge into a unified, frictionless workbench of expert creation.
Value Stream Management is not value stream mapping and it’s not a DevOps tool, but it plays a crucial role in helping teams optimize software delivery and tracking value across their software delivery life cycle, even when a team is not operating in a “DevOps” mode.
It’s no exaggeration to say that modern enterprises run on DevOps. And just as DevOps is a process framework that iterates to produce better software over time, the process itself should also improve. Continuous improvement and continuous development (CI/CD) cycles are the DevOps way of life.
It’s already optimizing employee experiences and business workflows, including software development. And when software agility increasingly correlates with business success, adopting AI to speed up app development and enable developer velocity will be table stakes for any modern business. To learn more, visit us here.
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Being API-driven enables automation as well as modern GitOps and DevOps workflows. Ferreira noted that the technology brings the core capabilities cloud administrators need for connectivity down to a single interface that is fully API-driven.
By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software Last month at Gartner Symposium in Orlando, Fla., By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software Last month at Gartner Symposium in Orlando, Fla.,
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TuringBots Forrester has branded AI and generative AI for software development as TuringBots since its inception in 2020. The good news is that generative AI (genAI) has advanced the maturity of TuringBots by at least five to 10 years. So how has genAI changed the state of TuringBots today in the market? TuringBots impact all […]
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For many stakeholders, there is plenty to love about open source software. The age-old question: How secure is open source software? Let’s begin by discussing a fundamental issue: whether open source software is actually any less (or more) secure than closed-source code. See figure below.
The need to incorporate AIOps and DevOps as part of a modern IT strategy. Earlier this year, Infinidat introduced InfiniOps™, a collection of extensive software capabilities that exploit world-class AIOps functionality and expedite DevOps activities.
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