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.

The way we handle massive volumes of data from multiple sources is about to change fundamentally. The traditional data processing systems don’t always fit into our budget (unless you have some pretty deep pockets). Our wallets constantly need to expand to keep up with the changing data veracity and volume, which isn’t always feasible. Yet we keep doing it because data is a commodity.

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) incubating project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). OpenTelemetry aims to provide a vendor-agnostic observability framework that provides a set of tools, APIs, and SDKs to instrument applications.

We often get questions like: And while the 14-year-old in me is proud to say that we’ve done 24/7 support for clusters of 1000+ nodes holding many PB of data, I am quick to add that.

Navigating the realm of Windows observability often referred to as O11y (short for observability), can be a complicated journey. Windows environments are known for their complexity, with various services, applications, and workloads running on each host.

Imagine you’re piloting a spaceship through the cosmos, embarking on a thrilling journey to explore the far reaches of the universe. As the captain of this ship, you need a dashboard that displays critical information about your vessel, such as fuel levels, navigation data, and life support systems. This dashboard is your lifeline, providing you with real-time insights about the health and performance of various systems within your ship, so you can quickly make critical decisions.

In today's digital landscape, Observability and telemetry data play a crucial role in ensuring the performance, reliability, and security of modern applications and services. However, as data volumes explode due to the proliferation of micro-services, cloud-based applications, and connected devices, existing architectures are hitting a scalability wall.

Kubernetes (K8s) is at the forefront of modern infrastructure, but with its capabilities comes a deluge of telemetry data. Efficiently managing and optimizing this data is crucial to harnessing the full potential of your Kubernetes deployments.

The cybersecurity industry is experiencing an explosion of innovative tools designed to tackle complex security challenges. However, the hype surrounding these tools has outpaced their actual capabilities, leading many teams to struggle with complexity and extracting value from their investment. In this conversation with Optiv‘s Randy Lariar, we explore the potential and dangers of bringing advanced data analytics and artificial intelligence tools to the cybersecurity space.

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.