Operations | Monitoring | ITSM | DevOps | Cloud

Businesses need to stay agile and make data-driven decisions in real time to outperform their competitors. Real-time analytics is emerging as a game-changer, with 80% of companies showing an increase in revenue due to real-time data analytics as companies can gain valuable insights on the fly. This blog post will explore the concept of real-time analytics, its examples, and some challenges faced when implementing it. Read on for a detailed explanation of this exciting area in data analytics.

Cloud computing changed the way enterprise IT works. Investments in public technologies are forecasted to grow by 21.7% to reach the $600 billion mark by the end of this year. The trend is driven by two major factors: Business organizations view these capabilities as an imperative for digital transformation — especially the domain-specific IT services that solve problems unique to their industry verticals.

Setting meaningful goals for your technology investment decisions requires an understanding of your requirements. Primarily, that’s… Measuring your IT maturity is one way to advance your IT performance — in a way that aligns with your organizational goals and minimizes the risk of failure. You can compare your current situation to a group of peers or competitors and also to industry benchmarks. Let’s take a look.

Predictive maintenance is a maintenance strategy that uses machine learning algorithms trained with Industrial Internet of Things (IIoT) data to make predictions about future outcomes, such as determining the likelihood of equipment and machinery breaking down. Using a combination of data, statistics, machine learning and modeling, predictive maintenance is able to optimize when and how to execute maintenance on industrial machine assets.

Capital expenditures (CapEx) and operational expenditures (OpEx) are two ways organizations categorize their business expenses. Every organization has a variety of expenses, from office rent to IT infrastructure costs to wages for their employees. To simplify accounting, they organize these costs into different categories, two of the most common being CapEx and OpEx.

Container orchestration is the process of managing containers using automation. It allows organizations to automatically deploy, manage, scale and network containers and hosts, freeing engineers from having to complete these processes manually. As software development has evolved from monolithic applications, containers have become the choice for developing new applications and migrating old ones.

Centralized logging provides visibility into the system by consolidating all the log data in a single all-in-one source. It supports two particular enterprise needs: Once all the data is ingested in a central location, you can seamlessly identify the problems in systems and troubleshoot them. But with ease comes challenges, too. For example, your team members may struggle with locating their desired details from this sea of data.

IT networks generate large volumes of information in the form of security, network, system and application logs. The volume and variety of log data makes traditional network monitoring capabilities ineffective — especially for monitoring use cases that require proactive decision making. These decisions are based on things like: All of this makes large-scale and complex enterprise IT networks a suitable use case for advanced AI and machine learning capabilities.

Root cause analysis, or RCA, is the process of identifying the cause of a problem so measures can be taken to prevent that problem from happening again. RCA assumes it’s more effective to resolve problems by addressing the underlying cause rather than just the symptoms.

Understanding system performance is critical for gaining a competitive advantage. Telemetry provides deeper insights into the system, helping business owners make better decisions. This article take a comprehensive look at the topic of telemetry. We’ll look at its functionality and telemetry types. We’ll also look at all the things telemetry data can help you with — plus the challenges companies with telemetry systems might face.