Why Generic AI Models Fall Short for Root Cause Analysis
Bringing together the power of LLMs (for conversational troubleshooting) with ML purpose-built for root cause analysis gives your team the best of both worlds
From Scalability to Speed: Generative AI has Put Testing on Steroids
The rapid integration of Generative AI in the last few years has shifted the base toward new testing solutions — the next level in the race for AI aptitude
Site Reliability Engineering State of the Union for 2024: Embracing Innovation and Efficiency in the Age of Generative AI
SRE practices are set to undergo significant transformations, driven by technological advancements and changing organizational needs.
IBM Makes Generative AI Platform for DevOps Available
IBM has made generally available a framework, dubbed IBM Concert, that leverages generative artificial intelligence and knowledge graphs to surface in real-time dependencies.
SmartBear Adds More Generative AI Testing Tools to Platform
SmartBear this week extended its efforts to bring generative artificial intelligence (AI) to its test automation portfolio to include test data and application programming interface (API) contracts.
Only 10% of Organizations are Doing Full Observability. Can Generative AI Move the Needle?
Generative AI, powered by large language models (LLMs), introduces a transformative solution to the challenges of modern observability.
Mend.io Adds Tool to Detect Presence of Generative AI Code
Mend.io this week added a MendAI tool to its application security portfolio that identifies code generated by an artificial intelligence (AI) model.
Pulumi Adds Generative AI CoPilot to Manage Cloud Infrastructure
Using Generative AI assistants, instead of requiring a small army of software engineers, a smaller team will be able to manage applications at a level of scale previously unimagined.
Splunk Adds Data Management and AI Tools to Observability Portfolio
Recent adoption shows that AI tools enable more applications at scale. However, the application environment is going to be that much more complex as the number of dependencies between applications and services increases.
AWS Previews Generative AI Tool for CloudTrail Activity Logs
AWS today previewed a GenAI tool for its AWS CloudTrail data lake and is focusing most of its cybersecurity efforts on a new generation of cloud infrastructure that is inherently more secure.
Cisco Adds Generative AI and Deeper Splunk Integrations to AppDynamics
Several Cisco platforms will gradually be integrated into a single data platform, including Cisco AppDynamics, the Cisco ThousandEyes networking monitor service and the Splunk platform.
Building A New Toolkit to Ensure Accurate AI Predictions
Meta created an internal toolkit to help improve the accuracy of AI predictions. Its engineers say it has a hefty set of features that makes a big difference.
SmartBear Applies Generative AI Across API Tool Portfolio
The software testing and monitoring company SmartBear has introduced Generative AI technology to API tools, so enhancing software development and testing.
vFunction Adds Real-Time Observability and GenAI Tool to Modernization Platform
vFunction, the AI-driven architectural observability platform today added real-time observability and GenAI assistant. vFunction today added an ability to observe IT architectures in real-time to a platform that automatically converts monolithic application code into a set of microservices. In addition, vFunction has added a generative artificial intelligence (AI) assistant that identifies issues and surfaces recommendations […]
Tricentis Taps Generative AI to Automate Application Testing
Tricentis is adding AI assistants to make it simpler for DevOps teams to create tests.
GitLab Adds AI Chat Interface to Increase DevOps Productivity
GitLab Duo Chat is a natural language interface which helps generate code, create tests and access code summarizations.
Navigating the Rise of AI-Generated Code in Software Development
The year 2023 saw the rise of many technologies and innovations, but none quite as prominent as generative AI. Trained on vast amounts of data, these models are designed to “generate” the next sequence of values based on inputs and create novel content for various purposes. The emergence of generative AI has forced industries to […]