Operations | Monitoring | ITSM | DevOps | Cloud

Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers need a certain amount of stability to test a query or feature against, and when this stability is lacking, development can get more complicated and difficult. Enter API mocking. API mocking is an approach to generating a mock service that provides dependable data for a variety of testing purposes.

When you're running a Java application, the JVM is doing a ton of work behind the scenes but unless you're actively collecting its internal metrics, you're essentially flying blind. Fortunately, the JMX Prometheus Receiver paired with the JMX Java Exporter Agent offers one of the simplest and most effective ways to expose JVM performance data.

Basic console logging is a good starting point for debugging and understanding an app. For larger, more complex apps, it’s helpful to include additional information and persist logs. In this guide, you’ll learn how to create and view logs in React Native and how to create and save custom logs to a file. We’ll focus on JavaScript logs.

Developing a website or software isn't easy, a team of developers will be developing a new feature, other team will be testing whether the built feature works as expected, other might be fixing the bugs and so on. Managing these different versions of same code base must be a little tricky. Here comes the concept called branch in git which is used as a pointer to a snapshot of your changes. When we talk about branches in git these are the major questions that arises in our mind.

To coincide with KubeCon Europe 2025, we’re excited to announce the latest release of Densify’s Kubernetes optimization engine, Kubex, which delivers full-stack resource management and seamless automation resource optimization at enterprise scale. This release delivers the advanced controls enterprises have been asking for—without sacrificing the intelligence and precision that sets Densify apart.

During emergencies and illnesses, people expect intuitive healthcare services. When multiple tests and reports are involved, patients anticipate that the results will be available to their doctors instantly for quick diagnoses. Waiting for a paper copy of each test result is not feasible.

"The whole is more than the sum of its parts," said Aristotle. This quote fits the amazing world of modern IT, where several intricate, interwoven, and intensely dynamic ecosystems come together. Today, every component, from applications and microservices to networks and databases, interacts dynamically. To ensure seamless operations, IT teams are expected to decode the language of these interactions: events and incidents.

Going beyond MTTx and measuring “good” incident management We’ve chatted with hundreds of engineering teams, and a pattern keeps popping up: everyone’s tracking MTTX metrics—MTTR, MTTA, MTT-whatever—but when you ask, “Cool, so what are you doing with that?” …you get blank stares. And honestly, fair enough. Time-based metrics are easy.

Machine learning (ML) and artificial intelligence (AI) are often used interchangeably in tech discussions, yet they represent distinct concepts with important differences. While AI refers to the broader field of creating machines capable of intelligent behavior that mimics human capabilities, machine learning is a specific subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data.

The NPT 2714 is the latest addition to Ribbon’s NPT XDR2000 series of aggregation routers. It features an innovative, orthogonal architecture for modular, centralized routers, merging the best aspects of modular and fixed systems. This architecture combines the redundancy and I/O diversity of modular systems with the simplicity and cost-efficiency of fixed systems.