Operations | Monitoring | ITSM | DevOps | Cloud

Achieving modern observability with a unified data platform and Search AI If you have a love-hate relationship with your data, we don’t blame you. It’s generated at high velocity and from all sides — your apps, endpoints, networks, and servers. By 2025, global data creation is projected to grow by more than 180 zettabytes.* Inside this wealth of data lies better operational resilience, profitability, and innovation.

Rust has claimed the title of ‘most desired programming language’ for the past 8 years in a row in StackOverflow’s annual developer survey. The language was created less than 20 years ago, yet when users work with Rust, they always seem to want to work with it again. This consistent growth in popularity has, in part, driven the need for effective monitoring practices, particularly Rust tracing.

When telemetry data (collected from system sources in observability) is analyzed collectively it provides insights into the relationships and dependencies within a distributed system. OpenTelemetry standardizes the collection and transmission of telemetry data to backend platforms, closing visibility gaps by offering a unified instrumentation format across all services.

While data lakes make it easy to store and analyze a wide variety of data types, they can become data swamps without the proper documentation and governance. Until you solve the biggest data lake challenges — tackling exponential big data growth, costs, and management complexity — efficient and reliable data analytics will remain out of reach.

What is the purpose of query logging in MySQL? Why is it important? How do you enable and configure it? In this article, we will address these questions and more. You will find a detailed guide on how to use mysqldumpslow to analyze slow query logs, along with tips on harnessing convenient GUI tools like dbForge Studio for MySQL to your advantage.

Observo AI is excited to announce that we have partnered with Microsoft and it is now available on the Azure Marketplace. This will make it easier for Azure customers to quickly adopt the AI-Powered Security and Observability Pipeline to help control costs, manage data sprawl, boost productivity, and identify and resolve critical incidents faster. Customers can now deploy Observo AI at speed while benefiting from Azure’s trusted and secure infrastructure, as well as its global commercial footprint.

Monitoring Apache logs is crucial to ensure the health, security, and performance of web servers running the Apache HTTP Server software. Analyzing these logs continuously will, in turn, provide invaluable insight into web server activities related to web traffic patterns, user behavior, server errors, potential security threats, and performance metrics.

OpenTelemetry, OTel, is an incredible open-source observability framework that helps you collect, process, and export trace data. It's super valuable for engineers who want to understand their systems better. At the heart of this framework lies the OpenTelemetry Collector, a pivotal component that turns raw traces into useful metrics. Let’s explore the importance of the OpenTelemetry Collector and show you how it makes it easier for engineers to make sense of data.