Cloud Native Transformation
Effectively manage cloud native complexity by delivering exceptional application performance at scale.
Billions of transactions a day. Thousands of distributed components. Dynamic workloads. The reality of hyperscale cloud-native applications is a big data reality where the app environment changes rapidly on short time scales.
In this world of increasing architectural complexity, detecting and diagnosing application performance problems has never been more elusive. You need complete, in-depth, and granular visibility into apps and their environment—at scale. Sampling or snapshotting is no longer an acceptable trade off.
Demanding users, frequent release schedules and transient cloud/container resources—the modern cloud-native app environment is in a risky state of constant flux. If you blink, you’ll miss it.
With numerous tools and platforms, and thousands of components to manage and orchestrate, CI/CD teams need to simplify monitoring and reduce administrative overhead across the cloud-native ecosystem.
A detailed “big data” view is necessary to comprehensively profile performance in cloud native environments that generate 18x more data than traditional monolithic apps—but legacy APM is not up to the task.
Get high definition insight with simplified APM that is easy to use and deploy, and unifies visibility across end users, apps, networks, and the cloud-native ecosystem.
Combine monitoring and observability for the most complete distributed tracing in the industry. With Aternity’s big data approach, you will always have all the evidence you need to troubleshoot issues quickly in production.
Comprehensively profile performance during dev/test, and visualize key dependencies in conjunction with usage profiles to identify and optimize application code components with the greatest impact on business outcomes and cloud costs.
Monitor transactions, containers, and microservices running on modern cloud-native application infrastructure, including Docker, Kubernetes, Red Hat OpenShift, Pivotal Platform, OpenStack, IBM Cloud, Amazon Web Services ECS/EKS, Google Kubernetes Engine (GKE) and Azure Kubernetes Services (AKS).
