Designed for modern environments, the NoSample architecture analyzes and stores ALL traces to reduce troubleshooting times, enhance application performance and break free from legacy bottlenecks.
use case
Application modernization
Measure the impact of software changes, understand service health and consistently deliver great customer experiences.
challenge
As software changes increase, so does the risk of failures
Software teams often struggle to meet and exceed service-level objectives. Deployments break things. It takes too long to resolve incidents. Teams lack the proactive insight needed to anticipate and prevent potential problems before they turn into customer-impacting incidents.
solution
Prevent problems, don't just respond
Real-time, directed troubleshooting
Avoid manually sifting through dashboards to find answers. Get end-to-end visibility. No dead ends, no blind spots.
Predictive analytics
Detect unexpected anomalies with baked-in AIOps. Detect and investigate unusual changes instantly.
Code deployment visibility
Continuously test code in production with real-time visibility into service health and how each code change impacts webpage and application performance.
Innovate faster
Accelerate your software delivery process and time to market to meet business objectives more quickly with fast feedback on application performance.
Splunk Observability helps us see clearly into our complex environment, allowing us to act based on data so we can deliver on our mission to help customers build better products, faster.
Alert on critical patterns for better MTTR
Use out-of-the-box service mapping with smart alerting and AI-assisted troubleshooting to detect and alert on critical patterns instantly — before customers are affected.
Since technology-related alerts, business-related alerts, operations-related alerts all live in Splunk Observability, we are able to really pinpoint where the problem is and concentrate on fixing it faster.
Leave no anomaly undiscovered
Proactively pinpoint issues causing slow page loads, no matter the complexity of your environment. From browser or mobile app to backend application and infrastructure, you can surface the impact of new code deployment on service health and performance in seconds.
Splunk captures all the logs, metrics and traces in a way that allows us to understand any event across our platform, so we can ask questions and get answers.
ProductS
Full-stack observability
Automatically monitor, troubleshoot and resolve issues in seconds with integrated, full-stack, analytics-powered observability that’s OpenTelemetry-native and enterprise ready.
Cloud migration
Shift to the cloud with confidence. Splunk provides comprehensive, analytics-driven hybrid IT infrastructure monitoring and troubleshooting at enterprise scale.
DevOps
Shared visibility for DevOps, IT operations and software development teams into infrastructure and applications.
integrations
Splunk App for Content Packs
Your one-stop shop for prepackaged content, out-of-the-box searches and dashboards for common IT infrastructure monitoring sources.
Application modernization is the process of converting, rewriting or updating older software applications to make use of newer languages, frameworks or platforms. Also known as legacy modernization or software modernization, the typical goal is to maintain the value of the older application while migrating to a new platform that has added benefits, either for the user or the system.
There can be many benefits of application modernization, typically related to the new platform or technology that the legacy software is being ported to. Benefits for end users can include better interfaces, more stable environments, expanded integration capabilities and faster processing speed. Other benefits can include improving speed for new feature development, easier maintenance for DevOps teams, better options for redundancy and resiliency and improved scalability at a lower cost.
Common challenges in application modernization include the cost of modernization and ROI for the endeavor, change management and training on updated software, poorly refactored software that performs worse than the legacy version, overhead required for coexistence of legacy applications, and lack of holistic planning and strategy for the breadth of the application portfolio.
Some of the most common patterns for application modernization include:
- Monolith to microservices: Moving from a monolithic legacy application, which is typically difficult to update and scale, to a microservices architecture is one of the most common types of application modernization. Microservices have many benefits including improved stability, lessened lock-in and improved ability to maintain and build.
- Lift and shift: This pattern involves taking a legacy application and moving it to a different technology stack, platform or hosting environment. This strategy is often used for a cloud migration or moving an application to a container.
- Refactoring: Refactoring is the process of rewriting software. For modernization, rather than lift-and-shift, it can be beneficial to completely redevelop the functionality of an application to be native to a new software or technology.
- Developing APIs: In some cases, the best option is to leave a legacy application in place while enhancing it with new APIs that can be consumed by and integrated with other newer applications.
