The latest News and Information on Observabilty for complex systems and related technologies.
2023 is well underway and now more than ever it’s important to stay ahead of data trends and security concerns that are ever mounting. With the cost of catastrophic cyber attacks estimated to be ten times that of all other disasters combined, businesses need to take proactive measures to implement a security data pipeline to protect their data and comply with security and retention requirements.
With the current financial climate, cost reduction is top of mind for everyone. IT is one of the biggest cost centers in organizations, and understanding what drives those costs is critical. Many simply don’t understand the cost of their Kubernetes workloads, or even have observability into basic units of cost. This is where FinOps comes into play, and organizations are beginning to implement those best practice standards to understand their cost.
As an open source company that grew out of a side project in 2008 to an application and performance monitoring platform (APM) used by over 3.5 million developers, Sentry is committed to open source and the community of developers maintaining and building in the open. Similarly, we take a public approach to building our software, which is why it’s a natural extension of our values to announce our support for OpenTelemetry (or OTel), the leading open standard for observability.
You're probably familiar with Splunk. It's one of the most popular big data solutions organisations worldwide use to monitor their systems in real-time. But you may not know that Splunk also offers synthetic monitoring solutions via 2 Steps. 2 Steps Synthetic Monitoring for Splunk is a powerful tool that can help you speed up your application troubleshooting process. Today we'll take a closer look at what it is and how it can benefit your organisation.
When I joined Honeycomb two years ago, we were entering a phase of growth where we could no longer expect to have the time to prevent or fix all issues before things got bad. All the early parts of the system needed to scale, but we would not have the bandwidth to tackle some of them graciously. We’d have to choose some fires to fight, and some to let burn.
