Nowadays user expectations are higher than ever.
When someone wants to order a product online, and it either fails or the experience is disrupted, customers quickly switch to a competitor. Not only does this make companies lose money, but it also damages their brand's reputation.
This means reliability and application performance has become the number 1 priority for most businesses.
However, IT is more complex than ever.
The public cloud, containerized environments, constant software releases, microservices and distributed architectures, along with a number of other innovations have allowed organizations to scale fast and on-demand.
Nevertheless, these have also made it extremely complex to make systems observable, to understand the experience of the user, to do data-driven reliability planning and to track service quality all the way from infrastructure to end-user experience in a centralized and standardized manner.
Speaking with more than 100 cloud-native companies and Site Reliability Engineering (SRE) & DevOps experts, a set of common challenges emerged:
- Today, reliability performance data is commonly spread across several independent & isolated monitoring tools, and it is not standardized. This makes it difficult to shift-left and provide reliability ownership and accountability to developers, to provide a set of practices to make sure the data of the organization is centralized and standardized or to provide company-wide visibility into the reliability of all products.
- Platform and site reliability engineering teams depend on tribal processes to retrieve actionable information for decision-making with internal stakeholders. Platform and site reliability engineering teams are under pressure, experiencing burnout and alert fatigue, lacking the right tools to communicate efficiently with and to the business.
- The shift to cloud-native environments has allowed companies to scale fast while generating enormous amounts of monitoring data. Most organizations however, are not able to turn that data into intelligence (actionable information, preventive alerts, and automations) that directly improves customer experience.
That is why we set out to create a Reliability Intelligence platform that helps modern cloud-native companies leverage their monitoring and observability data into better and faster outcomes for their users.