Operations | Monitoring | ITSM | DevOps | Cloud

There is an immense amount of IT and security data out there and there’s no sign of slowing down. Our customers have told us they feel like they’re drowning in data. They know some data have value, some don’t. Some might have value in the future. They need some place cost-effective to store it all. Some for just a short while, some for the long haul. But they’re not data engineers. They don’t have the expertise to set up and maintain a traditional data lake.

For SaaS platforms, utilizing observability is crucial, as it’s vital for these companies to deeply understand their users' experience and the root cause of any issues. Observability involves leveraging the appropriate tools and processes in place to effectively track, examine, and troubleshoot the performance and behavior of a system, even if you can't directly see what's happening inside it.

Written by John Stimmel, Principal Cloud Specialist Account Executive, LogicMonitor It’s common knowledge that Kubernetes (commonly referred to as “K8”s) container management and orchestration provide business value by enabling cloud-native agility and superior customer experiences. By their nature, the speed and agility of Kubernetes platforms come with complexity.

Oh, I didn't see you there. Hi, I'm Kevin, a developer here at Honeybadger. I've worked for the last year or so developing Honeybadger Insights, our new logging and observability platform. Let's peek into some of the design decisions and philosophy behind the product. In modern software development, the hunt for observable systems has traditionally revolved around the holy trinity of logs, metrics, and traces.

Despite advances in the world of observability, log management hasn’t evolved much in recent years. Users are familiar with the experience of Kibana or OpenSearch Dashboards (OSD), but those don’t always meet modern use cases. Logz.io is ready to change the conversation with the introduction of Explore, the new path forward for Log Management for users of the Logz.io Open 360™ observability platform.

In a recent live stream, Jackie McGuire and I looked into a crucial topic that many IT and security teams face: delivering value in your organization without budget increases. In this age where technology underpins every facet of business, how can teams maximize their impact with finite resources?

Data analysis is crucial in today's businesses and organizations. With the increasing amount of data being created at 328.77 million terabytes of data per day, and them being readily available to most businesses, having efficient tools that can help analyze and interpret this data effectively is essential. In this article, we will discuss the top 9 best data analysis tools currently used in the market today.

Lumigo has announced the addition of full log management capabilities into its microservices observability and troubleshooting platform, promising customers enormous savings while enabling automatic correlation between log data and distributed traces.