How enterprises store and split up observability and security data is a great analogy to how lint, spare change, and partially-eaten bags of popcorn end up under couch cushions. Or when you tell your kids to clean up the house when company is coming over and they stash their toys and your tools in various nooks and crannies.
In part 1 of this series, we talked about zombie data and what it means for your observability architecture. In this post, we’ll talk more about how to handle all of it. How well can your organization handle the firehose of data it’s collecting? Yes, you have the ability to collect it, but chances are you don’t have the financial or human resources available to analyze all of it effectively.
We’ve reached the point where our ability to collect data has actually exceeded our ability to process it. Nowadays, it’s commonplace for organizations to have terabytes or even petabytes worth of data sitting in storage, waiting patiently for well-intentioned systems admins to eventually analyze it.
In my work as a technical evangelist at Cribl, I regularly talk to companies seeing annual data growth of 45%, which is unsustainable given current data practices. How do you cost effectively manage this flood of data while generating business value from critical data assets?
Earlier this month I hosted the “Everything You’ve Heard About Observability is Wrong (Almost)” webinar– thanks to all of you who attended. I wanted to follow-up with the attendees as well as those who were not able to join. As promised, it wasn’t the same old Observability presentation that we have grown accustomed to you know, all marketing with little value.
Today, Cribl is releasing The State of Security Data Management 2022 in collaboration with CITE Research. The report examines the challenges that enterprises are facing as they work to balance evolving business priorities with cyber threats. The report was conducted in September 2022 and surveyed 1,000 senior-level IT and security decision-makers. The survey found that, although most organizations are confident in their data management strategy, few believe it’s actually sustainable.
Mobile devices have changed our world. They come with us everywhere and provide invaluable services. One nagging problem is how to get data out of your mobile device. Specifically, logging metrics and events can be a trial. Opening up a public-facing port, managing the log receivers, coding… Wouldn’t it be nice if this was simplified? This article will demonstrate how easy delivering logs can be using Cribl.Cloud and simple HTTP POSTs – for free.
One of the gratifying things about working at Cribl is receiving daily validation that we’re making customers’ lives easier, and solving their real problems. Every time someone tells us something like this, our hearts gladden, and a goat angel gets its wings: Numbers like those also translate into…numbers. When we surveyed customers in our most recent quarter, our CSAT (Customer SATisfaction) score was above 90%.
Over the last 15 years, digital technology has fundamentally changed the way businesses operate. Every industry, from retail and hospitality to banking and airlines, has not only had to adjust to a world where customers increasingly rely on digital experiences, but they also have to build and manage the platforms where these experiences take place.
Observability is a methodology that you incorporate into your enterprise architecture to provide greater visibility into what is happening. It helps us determine the states of the system from their external outputs and allows technicians to identify bottlenecks, predict issues and mitigate them. As the architectures of IT systems are becoming more complex and distributed we use observability to meet the need to measure their internal states.
