As software systems grow in scale and sophistication, they become increasingly complex and fragmented, making it difficult to grasp their overall behavior and performance.
Traditionally, companies have implemented various observability tools across their technology infrastructure to address specific needs such as logging, metrics tracking, and tracing. While specialized instruments typically perform exceptionally well in their own right, they do not always communicate seamlessly with each other, resulting in the proliferation of information silos. The lack of unified visibility hinders teams from obtaining comprehensive understanding, obliging web site reliability engineering groups to rely on manual handbook integrations to assemble a complete picture of system health. Delayed insights lead to prolonged imply times to decision, thereby slowing down the efficient response to situational demands.
Organizations are increasingly seeking to incorporate novel information streams beyond the traditional MELT (metrics, events, logs, and traces) framework, encompassing digital expertise monitoring (DEM) and continuous profiling to achieve comprehensive observability. Demands for effective digital experiences drive the adoption of Dem, a subset of which is actual consumer monitoring (RUM), yielding valuable insights into consumer interactions and empowering data-driven decisions. In tandem, steady profiling identifies and isolates low-performing code segments, allowing developers to optimize performance and enhance overall user satisfaction. Without effectively integrating disparate data flows, organisations struggle to correlate customers’ real-world experiences with specific code-level details, resulting in information voids, delayed situation recognition, and ultimately, unhappy clients.
Observability problem #2: Escalating prices
As the complexity of instruments and data volume continues to escalate, so too does the cost of maintaining visibility into these dynamics? SaaS-based observability solutions, responsible for ingesting, storing, and analyzing client data, have become increasingly expensive, with costs rising at an alarming rate. While approximately 40% of large-scale enterprises consider high ownership costs a pressing issue regarding observability tools, median annual expenditures among massive organizations (10,000+ employees) for these tools and observability solutions reached $1.4 million annually.
