Great to see Vespper included in the AI observability 50. The top companies setting the stage for the next wave of observability innovation!
Wave 1 Observability companies like Datadog & Splunk created a haystack problem. So what happens when the haystack grows so big that it becomes so difficult to search it? The challenge shifted from data collection to efficient storage, retrieval, and analysis. The second wave of observability solutions like Cribl emerged as a direct response to twin challenges that threatened to overwhelm enterprises: exponentially growing data complexity and skyrocketing costs. Wave 2 found success (and are still finding it) because they addressed the traps Wave 1 created. They provided ways to manage the flood of data, create cohesive views across disparate systems, and ask more complex questions about system behavior. They helped organizations cope with the complexity and cost introduced by first-wave solutions and cloud-native architectures. Furthermore, Wave 2 companies all largely fail to address the most important challenge, which is the labor challenge. Threading through both these waves is a critical shortage of SREs; All of this tooling has created significant engineering overhead to manage tools and control costs and increased cognitive load on senior engineers. These highly skilled professionals, commanding salaries well into six figures, spend up to 30% of their time merely triaging alerts. More alarmingly, despite investments in tools and talent, the MTTR for critical incidents still averages 4-5 hours. This human bottleneck represents an enormous hidden cost and efficiency drain. The haystack is still growing faster than our ability to find the needle, setting the stage for the next wave of observability innovation. And here are 50 companies working to solve that! https://lnkd.in/gmrYVzrY