Distributed, cloud-native architectures allow you to deploy your software at scale. While such systems deliver obvious advantages, the many siloed systems can sometimes be too opaque for troubleshooting, should problems arise.
IT/Ops teams can easily end up drowning in data without being able to see the relationships between different microservice architectures, or between the customer journey and any breakdowns in the system. There is simply too much volume, velocity, and variety of data for anyone to effectively sort through all of it.
It is becoming increasingly clear that generating telemetry data is an important step, but it’s realistically only the first one. Software companies need a way of gathering and analyzing data that is vendor-agnostic and can generate insights in seconds, not hours.
In a word, organizations need to enhance their observability.
OpenTelemetry Enables Greater Observability
OpenTelemetry is a way of standardizing the data generation and harvesting process, while preserving interrelationships between different components of the system architecture. This enables IT and DevOps teams to streamline observability, ultimately allowing for less time spent trying to figure out how to collect data, and instead focusing on interpreting data to uncover actionable insights into system and network behavior.
To that point, OpenTelemetry ensures telemetry data can be gathered and analyzed in one place without translation. And as a vendor-agnostic technique, it’s future-proof; DevOps teams do not have to re-architect backend operations every time a new API is introduced into the ecosystem.
Technical teams gain more flexibility with OpenTelemetry, and team members can trace problem nodes faster and reduce incident response times across any SaaS or hybrid environment.
Aternity OpenTelemetry Analytics: AI-powered, Actionable Insights
Gathering telemetry data at scale and being able to preserve interdependencies also makes monitoring and analysis easier. But as cloud-native, microservices environments continue to grow larger and more complex, DevOps and SRE teams are struggling to keep pace with the telemetry data needed to keep systems running.
Enter: Aternity OpenTelemetry Analytics.
Aternity OpenTelemetry Analytics enables IT and Ops teams to harness and deploy distributed systems while delivering transparency into data needed for troubleshooting. By leveraging artificial intelligence (AI) to work with the data more efficiently, Aternity continuously analyzes OpenTelemetry and other observability data sources, identifies dependencies among cloud-native components, and establishes baselines for “normal” performance.
Aternity’s support for OpenTelemetry means that organizations can monitor any application built with modern programming languages or frameworks, like Python, Go, Node.js, and PHP. And it also offers compatibility with popular open source telemetry solutions, like Jaeger and Zipkin.
Armed with the right insights, IT can determine the likely root cause of issues, accelerating time to resolution before users are affected.
Essentially, Aternity OpenTelemetry Analytics sifts through volumes of telemetry data and surfaces the ones that deviate from the norm, helping IT more effectively and efficiently zero in on problems and decrease incident resolution times.
Aternity OpenTelemetry Analytics enables IT and DevOps teams to deliver a seamless digital experience for every application delivered over your multi-cloud, multi-app environment. Visit https://www.aternity.com/application-performance-monitoring/ to learn more.