ALMtoolbox Blog

LiteLLM AI Gateway: Cost Tracking, Guardrails, Budgets and More for Managing 100+ LLMs

In this article we go one level deeper and explain the main capabilities of the LiteLLM AI Gateway:cost tracking, batches API, guardrails, model access, budgets, LLM observability, rate limiting, prompt management, S3 logging and pass-through endpoints – and why DevOps / Platform / Architecture teams care about them. As we recently shared, We (ALM Toolbox) […]

New in Sonar: AI-Powered Code Review and Code Fixes

Sonar announced this week the acquisition of Gitar.AI, which developed an AI-based Code Review and code fixing tool. In this article, a short overview of Gitar.

How LiteLLM Helps GitLab Users Standardize, Secure and Control AI Usage

GitLab is rapidly adding AI features such as GitLab Duo, AI Gateway and AI‑powered CI/CD flows, but many organizations still struggle with fragmented model usage, unclear costs and compliance concerns. LiteLLM can act as the missing “AI gateway” layer for GitLab, giving you a single place to standardize LLM access, enforce security and track spend […]

We Officially Represent LiteLLM as AI Gateway Solution

We are pleased to announce that as part of our AI, DevOps, and DevSecOps solutions, we now also offer LiteLLM’s AI Gateway solution.

How Code Coverage in SonarQube Helps Developers, QA Managers, DevOps, R&D Managers, and Security Managers

An explanation of code coverage in SonarQube: how to measure Coverage correctly, integrate coverage reports with code management tools, define smart Quality Gates, and improve code quality.

GitLab Custom Roles: How to Control API Access and Webhooks without Over-Permissioning Users

GitLab custom roles help teams control access to code, settings, tokens, and webhook administration without promoting every advanced user to Maintainer or Owner. The key is understanding where custom roles help, where token scopes still matter, and how both shape access to data through the GitLab API and GitLab webhooks

Securing Multi-Domain Operations: Introducing Mattermost Enterprise Advanced

mattermost enterprise advanced

The Future of Multi-Domain Secure Operations Mattermost has officially expanded its Intelligent Mission Environment with the launch of Mattermost Enterprise Advanced. This new product tier is specifically designed to meet the rigorous security and resilience requirements of multi-domain operations, joining the existing Mattermost Professional and Enterprise lines. Enterprise Advanced offers a comprehensive messaging and collaboration […]

How SonarQube Stops Supply Chain Attacks Like PyPI LiteLLM Malware in DevOps Pipelines

sonarqube dashboard

In the wake of the PyPI LiteLLM supply chain attack that backdoored packages to steal Kubernetes credentials, SonarQube emerges as DevSecOps shield. Discover how Sonar scans dependencies- complete with GitHub Actions and GitLab CI/CD.

How JFrog Stops Supply Chain Attacks Like the PyPI LiteLLM Malware in DevOps Pipelines

jfrog

In the wake of the PyPI LiteLLM supply chain attack that backdoored packages to steal Kubernetes credentials, JFrog emerges as DevSecOps shield. Discover how Artifactory proxies, Curation blocks malicious deps, and Xray scans binaries – complete with GitLab CI/CD and Azure DevOps.

How GitLab Helps Prevent Supply Chain Attacks and Malwares from Entering Development Environments

gitlab devsecops appsec alm-toolbox

Using GitLab as your end‑to‑end DevOps platform helps you prevent supply‑chain attacks (like the recent PyPI litellm compromise) and block malware from entering your environment by enforcing controls directly in the CI/CD pipeline, dependency flow, and identity layer. Below is how that maps to your concrete threat model. Note: Implementing these practices requires a GitLab […]

How Socket Helps Prevent Supply Chain Attacks and Malwares from Entering Development Environments

socket logo

Socket.dev prevents supply chain attacks by scanning dependencies for malware signatures, obfuscated code, and suspicious behaviors like data exfiltration or unauthorized API calls in JS, Python, and Go packages. Integrated into GitHub, GitLab, and Jenkins CI/CD pipelines, it blocks threats at the PR stage without uploading source code, complementing tools like SonarQube in DevSecOps workflows.

What’s New in Xray for Jira Data Center?

Jira xray dashboard

Discover what’s new in Xray 8.4.0‑j9 for Jira Data Center, including Jira 9.x alignment, performance improvements, and enhanced reporting for large‑scale QA teams.

What’s New in GitLab 18?

gitlab 18

GitLab 18 was recently released and we’ve made two unique lists of GitLab features: all features and what’s new

JFrog Curation for Closed Environments: How to Block Malicious Packages Before They Enter Your Code

jfrog

JFrog Curation for Self-Hosted and Air-Gapped environments allows organizations to block malicious, dangerous, or non-compliant packages before they enter the build, repository, and code. This improves security, reduces risks in the software supply chain, and provides better governance over open-source consumption.

Introduction to SonarQube’s AI CodeFix: How to Fix Bugs Faster?

SonarQube’s AI CodeFix adds an AI-based remediation layer on top of Sonar’s static code analysis. In this article, we explain what it provides, how it helps fix bugs, which languages it supports, and how to measure its ROI in the organization.

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