Riverbed SteelCentral for PCF

Scalable, high-definition application performance monitoring for PCF

Compatible with PAS

Compatible with PAS
Can be consumed by apps on PAS

Compatible with PKS
Can be consumed by apps on PKS

Compatible with Standalone PKS
Runs on PKS with no dependency on PAS

Get end-to-end visibility and diagnostics across your distributed and dynamic applications, networks and cloud infrastructure, and resolve issues before the business is impacted. Riverbed's big data technology for application performance monitoring (APM) gives you complete insight into Java applications running in Pivotal Cloud FoundryⓇ (PCF)—with full user and code-level details for every transaction, at any scale.

Never miss a performance problem

Eliminate troubleshooting blind spots by capturing, storing and analyzing every transaction, its associated log messages and metadata, and high definition environmental metrics captured at 1 second intervals.

Simplify APM deployment

Automatically discover and instrument new code components and container instances. Keep overhead low with production-grade auto-tuning for deep call stack visibility at any scale without the need to make trade offs.

Focus on what matters most

Optimize the code that has the most overall impact on application performance, not just on a single transaction. Prioritize troubleshooting based on the financial impact of poorly performing transactions.

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Monitoring Applications in Pivotal Cloud Foundry
Riverbed Overview

With a fully unified and integrated Digital Performance platform, that eliminates tradeoffs and helps customers rethink possible, Riverbed helps transform the way customers run the powerful network- and cloud-based applications that connect people, businesses, and experiences in our digital world. SteelCentral AppInternals directly addresses enterprise scalability requirements with proprietary big data technology to deliver the complete and granular application performance monitoring visibility that is crucial for troubleshooting in modern environments. With AppInternals, you get immediate insight into even infrequent or intermittent performance issues, and powerful analytics to find and fix problems before they impact the business.

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Integration Features

Option for fully automated management of the service on Pivotal Cloud Foundry. Monitoring, failure recovery, and software updates with zero-to-minimal downtime

Version choice: Operators can let developers to choose between multiple versions of the software when creating an instance

The service is documented with instructions for setup and operation

Supports high availability against internal service failures to minimize downtime for bound applications

Developers have control over when to upgrade to new versions, subject to policies set by operators, so that app modifications and downtime can be managed

Available as an extension to the standard buildpacks

Supports offline use without dependencies on externally running services or licensing validation

The buildpack is documented with instructions for setup and operation

The BOSH add-on is documented with instructions for setup and operation

Available as a Linux-Supported add-on

Automatically add software to virtual machines managed by BOSH. Eliminates need for associated custom manifests


How it Works

SteelCentral AppInternals™ delivers a unified monitoring solution for cloud native applications with a single agent capturing container, application, network, systems and application log data, and a single analysis server and web UI for integrated analytics. With non-intrusive instrumentation of container applications and automatic discovery of applications, containers and their relationships, AppInternals is easy to deploy and simple to manage.

Lightweight AppInternals agents instrument and monitor Java applications running in PCF containers, and a master agent integrates high definition operating system metrics from container hosts.

Riverbed SteelCentral AppInternals for PCF includes a Service Broker and a BOSH add-on for the AppInternals Agent.

Read the documentation

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