Operations | Monitoring | ITSM | DevOps | Cloud

Software engineering is trending, and the latest fads come and go with passionate adoption. Remember the OpenStack craze? Kubernetes? On-prem v cloud? I could go on and on, but one trend in software engineering that has surfaced in the last few years is DevOps & Platform Engineering.

Gartner recently released their 2025 Market Guide for Event Intelligence Solutions, and BigPanda was thrilled to be named as a Representative Vendor in this report. “Event intelligence solutions (EISs) apply AI to augment, accelerate, and automate responses to signals or events detected from digital services.

Atlassian’s recent end-of-life announcement formalized what Opsgenie users have experienced for years: a platform with stagnant innovation. Now officially on maintenance mode – no new features, no innovation, no future – Opsgenie customers have an important choice to make: settle for basic ‘good enough’ capabilities baked into Atlassian’s JSM, or upgrade to a purpose-built platform that takes incident management seriously.

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.

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.

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.

"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.

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.

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.

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.