GitLab announced the launch of GitLab 18, including AI capabilities natively integrated into the platform and major new innovations across core DevOps, and security and compliance workflows that are available now, with further enhancements planned throughout the year.
Designing and deploying complete software-defined data centers (SDDCs) can be complicated because each implementation requires a broad range of infrastructure to support heavy demands for compute, networking, storage, applications and security.
Many of the problems are caused by human errors of IT managers as they develop complex multi-vendor environments spanning public clouds, private clouds, hybrid clouds and legacy systems. Such users often have expertise with server virtualization, but they lack the deep skills to build large scale software-defined networking and storage systems – hence, the insertion of costly human mistakes.
Pensa just released a new survey of IT executives which details the current challenges of building DevOps platforms. The online survey of 200+ IT decision-makers cited limited budgets as the top barrier to DevOps success by 19.7 percent of respondents; followed closely by the constraints of legacy systems (17.2 percent); application complexity (12.8 percent); difficulty managing multiple environments (11.3 percent); and company culture (9.4 percent).
For DevOps projects underway this year, survey respondents have been mostly active on public clouds including Microsoft Azure (30.5 percent) and Amazon Web Services (26.6). However, many other teams are using virtualization platforms including VMware virtualization (19.2 percent); Microsoft virtualization (15.3 percent); and OpenStack (7.4 percent).
Fully 35 percent of respondents have been driven by a need to deploy applications once a day or several times a day; followed by those who deploy apps once a week or more (24.1 percent); once every few weeks (16.7 percent); or once a month or greater (24.2 percent).
A majority (51.7 percent) of respondents said that it takes them hours to set up infrastructure for specific applications, compared to just 11.8 percent who said it takes them minutes to spin up new application environments. Another 35.0 percent said it takes them days or even weeks to set up the needed infrastructure. As we all know, business no longer moves at the pace of days or weeks because the DevOps lifecycle involves continuous improvements for application development and deployment.
Industry News
Perforce Software is partnering with Siemens Digital Industries Software to transform how smart, connected products are designed and developed.
Reply launched Silicon Shoring, a new software delivery model powered by Artificial Intelligence.
CIQ announced the tech preview launch of Rocky Linux from CIQ for AI (RLC-AI), an operating system engineered and optimized for artificial intelligence workloads.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the launch of the Cybersecurity Skills Framework, a global reference guide that helps organizations identify and address critical cybersecurity competencies across a broad range of IT job families; extending beyond cybersecurity specialists.
CodeRabbit is now available on the Visual Studio Code editor.
The integration brings CodeRabbit’s AI code reviews directly into Cursor, Windsurf, and VS Code at the earliest stages of software development—inside the code editor itself—at no cost to the developers.
Chainguard announced Chainguard Libraries for Python, an index of malware-resistant Python dependencies built securely from source on SLSA L2 infrastructure.
Sysdig announced the donation of Stratoshark, the company’s open source cloud forensics tool, to the Wireshark Foundation.
Pegasystems unveiled Pega Predictable AI™ Agents that give enterprises extraordinary control and visibility as they design and deploy AI-optimized processes.
Kong announced the introduction of the Kong Event Gateway as a part of their unified API platform.
Azul and Moderne announced a technical partnership to help Java development teams identify, remove and refactor unused and dead code to improve productivity and dramatically accelerate modernization initiatives.
Parasoft has added Agentic AI capabilities to SOAtest, featuring API test planning and creation.
Zerve unveiled a multi-agent system engineered specifically for enterprise-grade data and AI development.
LambdaTest, a unified agentic AI and cloud engineering platform, has announced its partnership with MacStadium, the industry-leading private Mac cloud provider enabling enterprise macOS workloads, to accelerate its AI-native software testing by leveraging Apple Silicon.
Tricentis announced a new capability that injects Tricentis’ AI-driven testing intelligence into SAP’s integrated toolchain, part of RISE with SAP methodology.