LogDNA announced a new browser logging capability designed to enable full-stack and front-end developers to ingest frontend log data into LogDNA more efficiently to debug web applications. The new feature automatically captures errors and logs occurring in the user’s browser and allows dev teams to centralize those errors alongside server-side logs, according to the company. … continue reading
The COVID-19 pandemic has led teams to focus on embracing DevOps technologies such as Kubernetes, ML/AI and cloud computing, and as a result, 84% of developers say they’re releasing code faster than ever before. That was one of the key findings in GitLab’s fifth annual DevSecOps survey, which this February asked 4,300 DevOps team members … continue reading
CodeLogic announced a new automated approach that enables developers to quickly generate a centralized, living map of complex system architectures such as ServiceNow, RedHat and Linux. Developers can then use this to determine how to handle code refactoring and rewrites, and safely explore new features, according to the company. The new solution enables developers to … continue reading
Redis Labs announced that it is adding stronger consistency, integrated data models, low sub-millisecond latency for a globally deployed database and artificial intelligence to further Redis as a real-time data platform. RedisRaft will be available in Redis 7.0 and will enable Redis to be deployed and run in a strongly consistent fashion, according to the … continue reading
The development team behind Android said that it no longer recommends RenderScript as the optimal way to run computationally-intensive code on the GPU or CPU without having to make use of the NDK or GPU-specific APIs and will deprecate the feature in Android 12. Instead, developers will have access to an open-source library that contains … continue reading
NVIDIA announced its application framework for building conversational AI services is now available. The new NVIDIA Jarvis framework comes with pre-trained deep learning models and software tools to help developers create conversational AI services that can be easily deployed from the cloud or at the edge. According to the company, it offers automatic speech recognition … continue reading
Appvance is the inventor of AI-driven autonomous testing, which is revolutionizing the $120B software QA industry. The company’s patented platform, Appvance IQ, can generate its own tests, surfacing critical bugs in minutes with limited human involvement in web and mobile applications. AIQ empowers enterprises to improve the quality, performance and security of their most critical … continue reading
Kevin Surace, co-founder and CTO of Appvance Appvance makes a platform called Appvance IQ, or AIQ for short. The platform is all-encompassing – web, API and native mobile, functional, compatibility, performance, load, security tests. It becomes a centerpiece of your quality initiative. We break test creation into two buckets. Low code/no code ML-driven Test Designer … continue reading
As the software development industry has seen unprecedented levels of digital transformation, the demand for automated testing in the CI/CD pipeline has taken on greater urgency, especially at the early stages. Also, new advancements in AI are helping developers with some of the biggest challenges in testing: test creation, maintenance and many of the manual … continue reading
Tricentis acquired the testing platform Neotys to further expand its AI-driven, end-to-end continuous testing platform to accelerate software delivery and innovation. NeoLoad, the performance testing solution for enterprises looking to verify application response time, availability, and scalability for mobile, web and packaged applications will be added to the Tricentis portfolio. “Today’s Agile and DevOps teams … continue reading
OctoML announced that it raised $28 million in a Series B funding round that it will use towards accelerating ML deployment. OctoML said it will use the funding to double its team and launch Octomizer, its self-serve SaaS product. The company is also building a Machine Learning Acceleration Platform that automatically maximizes model performance while … continue reading
IBM recently announced the open-source library Text Extensions for Pandas, which features extensions that turn Pandas DataFrames into a universal data structure that can be used in natural language processing (NLP). According to the company, the goal of this project is to make NLP simple. In creating the library, it wanted to avoid creating algorithms … continue reading
