Operations | Monitoring | ITSM | DevOps | Cloud

Every business strives to optimize operational costs and efficiency. In the DevOps world, where cloud-scale operations are the norm, this becomes even more critical. At JFrog, while delivering a robust and highly scalable SaaS solution to our customers, we are equally focused on optimizing operational costs and maximizing infrastructure efficiency.

In the race to ship software faster, many teams have turned to automation, decentralised tools, and powerful pipelines. But lurking under the surface of these streamlined processes is a growing and often invisible Identity and Access Management (IAM) threat vector. — a core vulnerability in modern CI/CD security.

Internal developer portals (IDPs) have become essential tools in platform engineering, helping standardize developer workflows and reduce friction by providing self-service access to tools, APIs, and infrastructure. During my time on a platform team, I experienced firsthand the transformative power of IDPs. Our team implemented custom solutions that significantly reduced load on developers, allowing them to focus on writing code rather than navigating complex infrastructure.

Every day development teams around the world release new software. But what happens to prior releases that are no longer in production? Most organizations save them, typically due to internal policies, external regulations, or simply the fear of losing data. Organizations typically take varied approaches to retaining their prior releases.

Three Atlassian programs that support startups.

Large Language Models (LLMs) can produce impressive text responses, but they’re not immune to generating harmful or disallowed content. If you’re developing an LLM-powered application, you need a reliable way to detect and block risky outputs. Disallowed content – hate speech, explicit descriptions, harmful instructions – can damage your product’s reputation, endanger user safety, and potentially violate legal or platform guidelines.

In February, we announced our support for Hex packages, which further solidified the JFrog Platform as the most universal package management solution. We’re excited to announce we’re continuing to build on our universality with our new official support of Chocolatey and PowerShell, which allows both technologies to be used with our NuGet repositories in JFrog Artifactory.

Detecting dependency vulnerabilities in a Gradle-based project is crucial because it prevents applications from using libraries (dependencies) with security holes. Imagine an application as a house. Each dependency, or library used in the project, is like building material (such as wood, glass, or bricks). If there’s a flawed or easily penetrable material, the house can become unsafe, such as being more vulnerable to thieves or collapsing during an earthquake.

With the recent shake-up around CVE funding and broader questions about long-term support for cybersecurity infrastructure, one thing is clear: controlling what you can is more important than ever. This is abundantly clear in modern software development practices which rely heavily on CI/CD systems, which in turn serve as the primary conduit from a developer’s local environment to production.

In Large Language Model (LLM) applications, the quality of the training data is paramount in determining the final model performance. One of the most important steps in preparing datasets is cleaning and transforming raw data into similar and usable formats. However, this process can be tedious and time-consuming when done manually. Automating these data cleaning workflows is essential to improve efficiency and maintain consistency across multiple datasets.