It’s no secret that end users have a zero-tolerance for bad digital experiences. They blame the brand of the application or digital service, regardless of who’s responsible. Therefore, for your application modernization and hybrid cloud strategies—including migrating to and operating workloads on AWS—you would do well to prevent any blind spots in your application landscapes that can impact application performance, availability, and security.
To prevent such blind spots, insist on holistic visibility and on access to AI-driven, real-time insights that lead to actions you can take to continuously optimize for cost and performance while securing your applications.
In this blog, we’ll walk through six common use cases customers are deploying on AWS using the FSO portfolio.
When you have applications running in a hybrid cloud environment–such as a combination of AWS public cloud and on-premises infrastructure–it’s important to not only monitor across all the different domains but also to correlate those insights back to the business. Applying business context to application performance monitoring helps focus efforts to meet and exceed outcome objectives through the delivery of exceptional application experiences.
This is where AppDynamics shines, helping customers continually optimize digital experiences, proactively diagnose performance issues, and understand how user experiences impact the bottom line. Ultimately, IT efforts are connected to business results.
In their journeys to the cloud, customers are increasingly transitioning from traditional monolithic, three-tier applications to cloud-native, distributed, event-driven applications–built from services touched by several entities that span multiple clouds, on-premises, and network infrastructure. This makes deploying full-stack observability of cloud-native applications critical due to the extreme challenge of identifying root causes and remediating issues that can impact user experiences in complex application landscapes.
Customers can greatly benefit from the newly launched AppDynamics Cloud cloud-native observability solution. AppDynamics Cloud complements the existing market-leading AppDynamics APM offering, while leveraging AppDynamics’ long history of correlating data to insights to improve business outcomes.
Regardless of the application architecture, it’s imperative to understand how external network dependencies affect user experiences. This requires visibility into the Internet and cloud provider networks, APIs, and third-party services.
This is where ThousandEyes comes in, providing an industry-leading fleet of vantage points distributed throughout the Internet, public cloud, and enterprise networks–providing visibility from the user to the application. ThousandEyes provides correlated insights from diverse performance data across application transactions down through the network path to Internet routing.
Ultimately, customers need their applications running in AWS to deliver exceptional digital experiences. This requires proactive, actionable, and correlated insights from the entire application ecosystem. Here, the combination of AppDynamics and ThousandEyes comes into play. Together, they provide a comprehensive and unified view into the complex digital supply chain for collaborative troubleshooting across teams and for faster mean time to resolution for identified issues.
In addition to delivering exceptional application user experiences, you’ll want to lower costs by paying only for what AWS infrastructure is needed, while safely increasing use of on-premises assets. Intersight Optimizer helps to avoid public cloud over-provisioning and associated cost overruns. It is often deployed to ensure application performance while helping to avoid underutilization of on-premises infrastructure.
Closely related to providing hybrid cost optimization, the combination of Intersight Workload Optimizer and AppDynamics can help you gain visibility into application and hybrid cloud infrastructure resource dependencies and how they impact end-user experiences.
For example, you can correlate code-level application performance data with infrastructure health for a common view across IT operations and DevOps teams, while gaining visibility into how infrastructure resources are impacting the end-user experience. This allows you to continuously optimize resources that are run on-premises and in public clouds with application-aware infrastructure optimization.