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.

GenAI promises evolutionary changes in how we use observability tools, but meeting expectations means heeding the lessons of our AIOps mistakes. The emergence of generative AI in observability tools was inevitable, but there’s already been an extreme degree of hype in the market. Monitoring, DevOps and ITOps have never been immune to trends, and with GenAI capabilities, the propagandahype machine is running out of control.

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.

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.

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.

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.

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.

As organizations modernize their applications and deliver more complex, cloud-based services, the traditional boundaries between DevOps, SecOps, and ITOps are disappearing. Seamless collaboration between these teams, often referred to as DevSecOps, has become essential for efficiently addressing both reliability and security challenges.

As your data continues to grow and time remains critical, making data-driven decisions has never been more important (and let’s face it, that’s no small feat). Luckily, our new Scheduled Reporting feature is here to help—automatically delivering your logs, metrics, and tracing data in visually-rich custom dashboards, exactly when you need them, directly to the inboxes of your chosen recipients.

Log analysis tools are essential for organizations of all sizes. This guide provides an in-depth analysis of the top 10 log analysis tools in 2024. It compares their features, pricing models, and integration capabilities to assist you in making an informed decision based on your specific requirements.