In the fast-paced realm of modern business, efficiently tracking and managing a diverse array of assets, from hardware and software to virtual and non-IT resources, is an imperative task. Implementing a robust IT Asset Management (ITAM) process is the key to achieving this seamlessly.

Both options have limitations and advantages, but how do you understand whether to build or buy before considerable investments are made?

Research firm, IDC, published a study in early February 2024 predicting that Google Cloud Platform (GCP) customers break even after just 10 months. Moreover, the study, The Business Value of Google Cloud IaaS, reported that after migrating to GCP, the participants were on track to achieve a 318% ROI in five years. Here’s the thing. Achieving these milestones requires a robust GCP cost monitoring and optimization plan.

Service level agreements (SLAs) are essential for defining and managing the performance of services provided by internal or external providers. This article explores the different types of service agreements, their key components, and best practices for creating and enforcing effective agreements.

Welcome to the next chapter of Grafana Loki! After five years of dedicated development, countless hours of refining, and the support of an incredible community, we are thrilled to announce that Grafana Loki 3.0 is now generally available. The journey from 2.0 to 3.0 saw a lot of impressive changes to Loki. Loki is now more performant, and it’s capable of handling larger scales — all while remaining true to its roots of efficiency and simplicity.

We live in a data-rich world - every click, swipe, like, share, and purchase online generates data points companies use to optimize offerings. However, even vast real-world data has limitations in developing robust artificial intelligence (AI) and data models, particularly with regard to AIOps (Artificial Intelligence for IT Operations). Enter synthetic data.

Time series data is becoming more prevalent across many industries. Indeed, it is no longer limited to financial data. As the need to handle time-stamped data increases, the demand for specialized databases to handle this type of data has also grown. The solution: Time series databases. In this introduction guide, we'll explain all the basics you need to know about time series databases, including what they are, how they work and are applied, and some of their benefits.