Despite advances in the world of observability, log management hasn’t evolved much in recent years. In our webinar, Your Faster, Easier Log Management UI is Here, we share our vision for log management and provide a demo of Logz.io Explore, the new UI for our Log Management solution.

Splunk and CloudFabrix are both powerful tools in the realm of IT operations management, but they serve different primary functions, have different use cases and are complementary to each other. Splunk focuses on organizations requiring real-time visibility into IT operations with powerful search and analysis capabilities for large volumes of data, real-time monitoring and alerting for IT operations, log management, security incident response, Observability, and rich visualizations for AIOps.

Security logging is a critical part of modern cybersecurity, providing the foundation for detecting, analyzing, and responding to potential threats. As highlighted by OWASP, security logging and monitoring failures can lead to undetected security breaches. With the average cost of a data breach adding up to $4.45 million, most organizations can’t afford to miss a security incident.

Observo AI is excited to announce that we have partnered with AWS and our solution is now available on the AWS Marketplace. This will make it easier for AWS 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.

In modern IT environments, logging has become an integral part of application development and operations. Logs, metrics, and traces allow organizations to alert on events, monitor performance, and troubleshoot issues effectively. However, as applications scale and generate an increasing volume of logs year over year, managing them efficiently becomes a daunting task for engineering teams and budget makers.

One of the most common sentiments across the industry, let alone this world, is burnout. Burnout is prevalent, the World Health Organization (WHO) estimates it costs the global economy $1 trillion dollars a year. A Gallup poll equated that to $3,400 lost for every $10,000 of salary due to lack of productivity. This problem isn’t ending anytime soon either, with the global Cybersecurity industry alone having a talent shortage of 4 Million people.

Whether it’s 3 in the morning and you’re trying to resolve an outage, or you’re testing a new feature and you need to resolve a recurring issue so you can move on to your next task: time is of the essence. Wouldn’t it be great if your observability tooling could direct you to your “aha” moment, without you needing to fumble with writing a query?

Loki, a log aggregation system from Grafana, uses LogQL (Loki Query Language) to query logs. Whether you're just starting or need a quick reference, this cheat sheet covers the essentials. Let's dive into the syntax and functions of LogQL to make your log querying efficient and effective.

There’s no question that achieving end-to-end observability is among the most challenging tasks facing engineering and ops teams today. A quick look back at the 2024 Observability Pulse survey throws this conclusion into stark relief as: Logz.io is committed to making observability smarter, faster, and easier — from data ingestion, to troubleshooting, to managing costs.

With all the buzz around ChatGPT and the rapid mainstreaming of generative AI, 2024 was predicted to be the year of AI. While the market certainly talks a lot about AI this year, we’ve yet to see much of it in production environments. Events are a great chance for tech companies to showcase or announce new innovations to the market.