Imagine you have a network, whether it's a LAN or a vast enterprise-level network spread across different locations. Now, picture yourself wanting to monitor and analyze the data flow within that network. That's where network telemetry comes into play. Network telemetry is a group of techniques that allow you to understand better what's happening within networks. It's like watching the network's pulse to keep track of its health and performance. Read on to learn more about the network telemetry landscape.

In today's post-pandemic digital landscape, web analytics is projected to have a market size of US$13.4 Billion by 2030. This means that understanding website data and user behavior is crucial for any business wanting to succeed. Businesses can collect, analyze, and report website data through well-executed web analytics strategies to optimize the user experience and meet business objectives.

Information Technology Operations Analytics (ITOA) is an analytics technology that uses datasets generated by IT systems to improve their efficiency and effectiveness as part of the practice known as IT operations management (ITOM). The primary goal of ITOA is to make IT operations more effective, efficient, faster and more proactive through the use of an organization’s own machine data.

CloudOps (or Cloud Operations) is a combination of network, security, performance, device management, help desk and other tasks that keep cloud-native applications and underlying infrastructure up and running.

Event-Driven Architecture (EDA) is a modern approach to designing distributed systems with loosely coupled components. EDA has gained popularity in many industrial applications due to its flexibility, performance and scalability. This article offers a comprehensive overview of Event-Driven Architecture (EDA), explaining its key components and the patterns used. I’ll also cover the use cases of EDA and the benefits and challenges of implementing it.

Did you see the global COVID pandemic coming when you heard about the first cases? Probably not, even if you tried. As the physicist Albert A. Bartlett pointed out back in 1976, human beings tend to think in linear terms. The effects of large changes in scale are frequently beyond our powers of perception and even our imagination. It is the same challenge highlighted today by the cumulative effects of climate change and the subsequent tipping points.

Software testing is a rapidly evolving landscape where automation has replaced traditional manual practices significantly in recent years. Artificial intelligence (AI) and machine learning (ML) advancements introduced a groundbreaking approach to software testing known as autonomous testing. This article aims to provide a comprehensive guide on autonomous testing tools, highlighting their benefits, and the top tools available.

In a world where data is continuously growing, the need for integrated and centralized data is becoming increasingly important. Businesses are becoming more data-intensive, and by 2025, organizations need to leverage the power of their data to make informed decisions and stay competitive. Data integration plays a crucial role in enabling businesses to access, analyze and act on such data, with the data integration market expected to grow at a fast pace of a CAGR of 11.4% in 2027.

Calling all Splunk Cloud Platform admins! At Splunk, we're dedicated to making your lives easier when it comes to managing various aspects of your Splunk Cloud Platform. One critical aspect that requires your attention is maintenance, which directly impacts the operational efficiency of your deployments. As the capabilities of the Splunk Cloud Platform grow, so do the Splunk-initiated updates like upgrades to keep your deployments up-to-date with the latest features and functionality.

While Artificial intelligence (AI) has invaded many industries, the IT industry is reaping the benefits of AI in software engineering practices. The traditional method of relying solely on human coders throughout the entire development lifecycle is gradually becoming obsolete. Instead, AI-augmented software engineering has come into the arena to make the software engineering process faster, easier, and more reliable.