New Tech Forum provides a venue to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content.
How Creatio’s AI-native, no-code platform puts the development of custom, AI-powered apps and workflows into the hands of business users.
Java 24 contains 24 new features – more than any Java release since 2018. These six will matter the most to Java developers and Java shops in the near term.
AI Agent Builder simplifies the creation of AI agents and agentic workflows for API development and testing. Here’s how it works.
While the DBA title will likely fade, database professionals and the demand for their skills will remain. But success will require a bigger picture view of data operations.
Cilium subproject taps eBPF hooks into the Linux kernel to bring real-time security observability and runtime enforcement to containers and Kubernetes.
Some SAST tools provide better insight into all potential vulnerabilities and coding issues, while others offer a better developer experience and integration into CI/CD. Which is right for you?
The latest EDB Postgres AI release enables enterprises to deploy secure, flexible AI-driven applications in a sovereign, hybrid environment.
Open-source software will continue its march through the enterprise technology stack, buoyed by AI and (hopefully) transformative funding solutions that address sustainability.
Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for smaller organizations with limited resources.
How the TiDB distributed SQL database addresses the key needs of multitenant architectures while also providing advanced features for resource management and data placement.
How the Kloudfuse observability platform addresses the needs of modern cloud-native applications with a unified, affordable, and intelligent approach.
With cloud costs on the rise, enterprises need to adopt effective strategies for managing their cloud spend. Take these steps to align cloud investments with their goals and unlock new opportunities for growth and innovation.
Citizen development enabled by low-code and no-code tools works for apps that are simple, independent, internal, and low-risk. But real apps should be built by real developers.
As generative AI continues to advance, it will impact every phase of the software development process, not least the role of humans.
The Apache Kafka, Apache Flink, and Apache Iceberg communities are developing new ways for engineers to manage data and meet application needs.
Well-designed APIs, even those often-neglected internal APIs, make developers more productive and businesses more agile.
A clean software architecture is essential for building scalable and resilient systems and maintaining engineering velocity. Follow these principles and best practices.
Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those discrepancies.
A significant chasm exists between most organizations’ current data infrastructure capabilities and those necessary to effectively support AI workloads.
GPU monitoring differs significantly from the monitoring of general CPU and memory resources, and requires a different approach. Here’s how Kubecost meets the challenge.
Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage.
Automation should serve as a foundational principle for approaching every security challenge. Here’s how automation can help you secure software development processes.
Highly optimized incremental backups, expanded SQL/JSON support, and a configurable SLRU cache are three of the most impactful new features in the latest PostgreSQL release.
Vector databases don’t just store your data. They find the most meaningful connections within it, driving insights and decisions at scale.
Acquiring cloud infrastructure is easy, but controlling cost and usage is hard. Here’s how open-source project Cloud Custodian flipped the script with policy as code.
Biometric authentication isn’t invulnerable, but it’s significantly more secure than traditional passwords. Here’s why.
A headless data architecture can unlock unparalleled data access across your entire organization. It starts with a shift left.
In the beginning, we identified two major types of software supply chain attacks and nine minor types. The world keeps insisting on a broader definition.
Look no further than the recent forkings of Redis and Terraform to see where the true power lies in the land of open source.
With digital maps and vast databases, there’s no limit to how rich and real-time maps can get. Accuracy and consistency will come from a system of unique identifiers called GERS.
The extract, transform, and load phases of ETL typically involve multiple tasks, each of which can be executed independently. This means you can develop each task as a microservice.
You can’t just fire up a web browser and explore all your APIs running in production. We need discovery tools built for APIs.
vCluster creates lightweight virtual Kubernetes clusters within physical Kubernetes host clusters, dramatically reducing resource consumption—and increasing agility and control.
For effective API security, build a collaborative defense across development, operations, and business teams and take advantage of these proven strategies for strengthening defenses.
A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.
Apache Iceberg provides an open table format for interoperability across data lakes, showing the importance of a true open standard.
The license for Oracle JDK 17 will revert to the Oracle Technology Network License Agreement in September, and users will have some decisions to make.
Take advantage of an operational data store to consolidate data from across your organization and transform it for use in real time.
Success with a multi-tenant architecture requires the close alignment of design, use case, and underlying technology. Let’s dive into the key design patterns, their benefits, and their challenges.
New platform product supports transactional, analytical, and AI workloads.
The Kubernetes open source project should serve as the blueprint for the way in which we develop, govern, fund, and support AI projects.
Importing, transforming, and validating data from unmanaged external sources is a messy, complex process. A data exchange platform can help.
Kubernetes started as one of many tools for container orchestration. Ten years later it’s the leading platform for cloud-native applications.
Three programming languages have remained the top choices for developers for nearly 30 years, and will for the foreseeable future.
More flexible and more efficient than REST, GraphQL enables a more streamlined API architecture. Use GraphQL with Ballerina and Choreo for seamless integration.
You can learn a lot about programming from AI assistants. Take advantage of these tips and techniques to improve your experience.
Five key innovations that increased the performance, availability, and cost-efficiency of the engine at the heart of Confluent’s managed Apache Kafka service.
Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data.
Grafana creator Torkel Ödegaard traces the open-source project’s journey to help developers visualize what’s going on inside distributed cloud-native infrastructure.