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In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.
New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.
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.
Every day I hear more about the pressure I&O organizations are under to accelerate the delivery of applications and services and the pressure it is placing on the existing resources. As organizations transition, DevOps, formally the purview of unicorns, is now transitioning to mainstream. DevOps Moving Mainstream.
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
How is your organization’s DevOps doing? DevOpsResearch and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. Do you have strategies to both identify problems and improve performance?
Happy holidays from the DevOps Theme Team! Our merry band of Forrester analysts covering enterprise architecture, infrastructure, application development, application security, and technology strategy meets periodically to share research, debate trends, and dive into breaking news.
There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. It’s the CIOs responsibility to ensure that development teams aren’t intentionally or unintentionally straying off the DevOps path.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Nutanix commissioned U.K.
This year, I led my first custom survey research for Forrester, the 2020 State of Modern Technology Operations survey. We selected a random panel of 268 digital and IT professionals with day to day responsibility for operating digital systems. (We We did *not* rule out developers, as long as they also had runtime responsibilities).
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
The need for the lowest latency while delivering the highest application performance. If this could be delivered, they said, it would provide them with valuable competitive differentiation for their real-world applications and workloads. The need to incorporate AIOps and DevOps as part of a modern IT strategy.
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. 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 […]
After over 12 years of leading Forresters research on agile and, from 2011, publishing a biennial Forrester report on the global state of agile adoption, we have just published The State Of Agile Development, 2025: Its Still Relevant, With Benefits And Challenges.
It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. DataOps goals According to Dataversity , the goal of DataOps is to streamline the design, development, and maintenance of applications based on data and data analytics.
Every company is trying to see how AI can help automate processes> That is where I see this acquisition is fitting right into IBM’s scheme of things because IBM has a lot of AI-related order books already confirmed, so instead of getting into tool and applications development, the acquisition makes a good sense here.”
The research, conducted by International Data Corporation (IDC) and commissioned by SUSE surveyed 838 respondents in 11 Asia/Pacific countries across a range of industries such as financial services and insurance, telecommunications, and government.
Following are the roles companies are most likely to have added to support their cloud investments, according to Foundry’s research. Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership.
Hello I&O community (or others): We have been busy in November and December finishing some great research for the year but we ALSO planned some awesome research for you and your team coming in the near future. Are you needing to step up to the DevOps plate? Read more Categories: Upcoming research. Eveline Oehrlich.
billion in 2025 with a compound annual growth rate of around 19% according to recent research from Gartner® 1. What’s inside AIOps AIOps’ software engine is all about accelerating IT/DevOps. AIOps’ broad scope of intelligence and high-level application programming interfaces address all three.
DevOps and software engineers: To build out infrastructure and applications, DevOps and software engineering skills are critical for making the solutions that drive/support climate efforts and tech, Breckenridge says. He has extensive experience as a research analyst and as a business and technology journalist.
Further, the market research organization said that natural language processing (NLP) and its subset, natural language understanding (NLU), is of moderate interest because of challenges including comprehension of local languages, dialects, and accents. Interest in microservices remains relatively low compared to AI and analytics, however.
In new research from Enterprise Management Associates, 96% of IT organizations said they believe generative AI can make their IT personnel more productive, and 98% believe AI can be helpful for summarizing insights from IT dashboards to show user experience, describe current trends in bandwidth utilization, and determine how alerts are related.
Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. In researching this article, I found gaps where CIOs promised capabilities to stakeholders, but implementations and business impacts have lagged expectations.
“As companies continue to focus on resiliency by becoming digital, the need for IT outsourcing, likely engaging with multiple service providers, will only increase as infrastructure and application maintenance and development needs continue to grow and the required skills continue to change.”. Myth: SaaS will replace IT services. “In
The IDC MarketScape: Worldwide Team Collaboration Applications 2024 Vendor Assessment report (November 2024) provides some suggestions on tool vendors that are leaders in team collaboration. Learn more about IDCs research for technology leaders OR subscribe today to receive industry-leading research directly to your inbox.
As recent Gartner research shows, human-centric work practices leads to better employee performance, with workers 3.8 From DevOps to ‘DevEx’ — and back again The expansion of DevOps has empowered developers to be involved in the full product lifecycle and influence that lifecycle in a holistic fashion.
The first is to run transaction-intensive banking applications, including bank statements, deposits, mobile banking, debit-card processing, and loan payments. The second is to host mobile applications, containers, and artificial intelligence (AI) applications — what Sonnenstein calls “acting as a full-fledged member of the modern universe.”.
Containers (often alongside Kubernetes) sit on top of this elastic fabric with agile DevOps and CI/CD workflows that transition code from development to production in short timescales. 32% of attacks used an application exploit. In essence, you are defining multiple micro security perimeters for your containerized applications.
Meanwhile, the CTO focuses on technology research and development efforts, often working closely with the CIO to develop a strong IT strategy. The vice president of IT is responsible for overseeing specific aspects of the organization’s IT operations, whether it’s infrastructure, security, data management, or applications.
As enterprises work to rapidly embrace the mobile revolution, both for their workforce and to engage more deeply with their customers, the pressure is on for IT to support the tools needed by their application developers. There’s no denying the massive growth in mobile applications within the enterprise.
App modernization platform provider vFunction has released a new tool dubbed vFunction Assessment Hub, to help CIOs and other IT decision makers understand the complexity and risk of their existing legacy applications before deciding to modernize them — a process that typically involves taking on technical debt. What is technical debt?
But despite all the money flowing into ML projects, most organizations are struggling to get their ML models and applications working on production systems. . The market researchers at Gartner say that “Only half of AI projects make it from pilot into production, and those that do take an average of nine months to do so.”.
Anyone who’s involved in the creation of software products should be well familiar with DevOps, a set of practices that combines software development and IT operations, with the goal of shortening the development lifecycle and providing continuous delivery and high-quality products. . CloudOps: A multilayered framework for cloud operations.
But with Amazon Web Services (31%), Microsoft Azure (24%), and Google Cloud Platform (11%) accounting for two thirds of the worldwide market, according to Synergy Research Group, Oracle Cloud Infrastructure (OCI) remains distantly behind the behemoths, leaving many to question whether Oracle’s cloud gains are enough to make it a contender.
Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud. Embrace cloud-native principles.
Just like the average time to build an application is accelerated with DevOps, this is why you need MLOps.”. MLOps also borrows an agile methodology from DevOps, and the principle of iterative development, says Gentry. Communication with the DevOps and with the larger IT team.”. The value proposition is clear,” he says.
Just like the average time to build an application is accelerated with DevOps, this is why you need MLOps.”. MLOps also borrows an agile methodology from DevOps, and the principle of iterative development, says Gentry. Communication with the DevOps and with the larger IT team.”. The value proposition is clear,” he says.
The rebalancing act With applications requirements changing as business needs evolve, IT leaders are reassessing the value they are getting from their solutions, including the best locations in which to run their application workloads. Take, for example, application portability. And they are rebalancing their workloads.
Network observability tools provide information on the health and behavior of applications, offer insights into end-user experience, and detect anomalies that are indicative of security incidents. To start, enterprise networks are extremely complex, powering sophisticated applications that are supported across distributed systems.
IT service delivery enables an organization to give end users access to essential IT services by designing, developing, and deploying key technology resources, including applications and data. Adopt a user-centric approach when organizing your development/application delivery teams,” he recommends.
Another gen AI application winning over CIOs is its knack for coding, according to Alessio Maffei, ICT manager of Milan-based student and family-focused travel company Inter-studioviaggi. “At Another application developed through the AI & Automation function was the internal chatbot AlpiGPT. Despite the progress, setbacks occurred.
The only solution to this dilemma is to make sure that the development lifecycle of applications become ‘secure by design.’ This approach requires a transparent mechanism to embed vulnerability and compliance checks at the same time applications are built.
Check Point Research reported recently that it found 50% more cyberattack attempts per week on corporate networks globally in 2021 compared with 2020. The shift to DevOps and cloud native development have made security more complex. Trend #4: Leveraging storage technology to ensure application and workload performance and availability.
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