Operations | Monitoring | ITSM | DevOps | Cloud

A data platform is a comprehensive end-to-end solution for all your data. A true data platform can ingest, process, analyze and present data generated by all the systems and infrastructures within your organization. In this topic, there’s a lot of things to understand and consider. So, let’s take a deep look at data platforms, including the definition and related terms, the benefits and use cases, and how to start building your data strategy.

Businesses today rely on analytics and insights derived from different data types for gaining competitive advantages. These data often come from different sources and in different formats. Without a unified solution, aggregating those data and performing analytics tasks is challenging. ELT has been invented to solve the complexities associated with processing data from multiple sources while retaining the raw data as it is.

System operators know the drill: as the complexity of systems scales, so does the deluge of logs. Traditionally, taming this relentless tide demands a concoction of costly tools and laborious configurations—until now. The dynamic duo of systemd-journal and Netdata is revolutionizing log management, turning what was once a Herculean task into a streamlined, powerful, and surprisingly straightforward process.

As cloud applications and services gain prominence amongst organizations, adversaries are evolving their toolset to target these cloud networks. The surge in remote work and teleconferencing presents unprecedented opportunities for nefarious activities. Enter the MITRE ATT&CK Framework, also known as a MITRE ATT&CK Matrix—a treasure trove for defending cloud infrastructure and on-premises infrastructure against the newest adversary tactics, techniques, and procedures (TTPs).

What is AIOps? Simply put, AIOps uses big data, analytics and machine learning to automate and improve IT operations (ITOps). AI is particularly important in ITOps functions such as anomaly detection and event correlation, as it has the ability to analyze large volumes of network and machine data to find patterns, identify the cause of existing problems and find ways to forecast and prevent future issues.

What is OpenTelemetry? Simply put, OpenTelemetry is an open source observability framework. It offers vendor-agnostic or vendor-neutral APIs, software development kits (SDKs) and other tools for collecting telemetry data from cloud-native applications and their supporting infrastructure to understand their performance and health. Managing performance in today’s complex, distributed environment is extremely difficult.