Best Application Performance Monitoring (APM) Software for Microsoft Azure - Page 2

As organizations evolve and become increasingly distributed, the significance of network management continues to rise. Riverbed AppResponse offers a comprehensive solution for packet capture, application analysis, transactional insights, and flow export all in one platform. With specialized modules tailored for various applications, it enhances the speed of problem identification and resolution. The modular architecture of Riverbed AppResponse allows you to choose the specific analysis tools you require, including network forensics, metrics for all TCP and UDP applications, web application performance evaluations, database assessments, VoIP and video analytics, as well as Citrix evaluations. It is often said that packets serve as the ultimate source of truth in networking. By capturing and archiving all packets continuously at one-minute intervals, Riverbed AppResponse ensures that critical details are readily accessible whenever necessary. Additionally, users can delve into second- and micro-second-level specifics when detailed analysis is needed, providing an unparalleled depth of insight into network performance. This makes Riverbed AppResponse an invaluable asset for organizations seeking to maintain optimal network health and efficiency.

Utilize AIOps to foresee problems, minimize the impact on users, and streamline resolution processes. Transition from a reactive approach in IT operations to one that leverages insights and automation for better efficiency. Detect unusual patterns and address potential issues proactively through collaborative automation workflows. Enhance digital operations with AIOps by focusing on proactive measures rather than merely responding to incidents. Eliminate the burden of chasing after false positives as you pinpoint anomalies with greater accuracy. Gather and scrutinize telemetry data to achieve improved visibility while minimizing unnecessary distractions. Identify the underlying causes of incidents and provide teams with actionable insights for better collaboration. Take preemptive steps to reduce outages by following guided recommendations, ensuring a more resilient infrastructure. Accelerate recovery efforts by swiftly implementing solutions derived from analytical insights. Streamline repetitive processes using pre-crafted playbooks and resources from your knowledge base. Foster a culture centered on performance across all teams involved. Equip DevOps and Site Reliability Engineers (SREs) with the necessary visibility into microservices to enhance observability and expedite responses to incidents. Expand your focus beyond just IT operations to effectively oversee the entire digital lifecycle and ensure seamless digital experiences. Ultimately, adopting AIOps empowers your organization to stay ahead of challenges and maintain operational excellence.

Bionic adopts an agentless strategy to gather all your application artifacts, offering a level of application insight that surpasses what your CSPM tool can deliver. It consistently monitors and compiles a comprehensive inventory of your applications, services, message brokers, and databases. By integrating seamlessly into CI/CD pipelines, Bionic identifies significant risks within the application layer and code, enabling teams to assess security posture during production. Additionally, Bionic conducts thorough code analysis, checking for critical CVEs while delivering profound insights into the potential impact of attack surfaces. The platform prioritizes code vulnerabilities with consideration to the overall architecture of your applications. Furthermore, you can establish tailored policies to rank architectural risks according to your organization's specific security requirements, ensuring that security measures align with business needs and regulatory standards. This comprehensive approach empowers teams to proactively address vulnerabilities and enhance the overall security framework of their applications.

Enhanced high-definition APM visibility through real user monitoring, synthetic monitoring, and OpenTelemetry offers a solution that is scalable, user-friendly, and simplifies the integration of insights from end users, applications, networks, and the cloud-native space. The rise of microservices within containerized environments on dynamic cloud infrastructures has resulted in a highly transient and distributed landscape at an unprecedented scale. Traditional methods of enhancing APM, which rely on sampled transactions, partial traces, and aggregate metrics, have become ineffective, as legacy APM solutions struggle to identify the reasons behind slow or stalling critical business applications. The Riverbed platform provides cohesive visibility across the contemporary application landscape, ensuring ease of deployment and management, while facilitating quicker resolution of even the most challenging performance issues. Riverbed APM is thoroughly designed for the cloud-native environment, offering extensive monitoring and observability for transactions that operate on the latest cloud and application infrastructures, ultimately enhancing operational efficiency and user experience. This comprehensive approach not only addresses current performance challenges but also positions organizations to adapt to future technological advancements seamlessly.

Unravel empowers data functionality across various environments, whether it’s Azure, AWS, GCP, or your own data center, by enhancing performance, automating issue resolution, and managing expenses effectively. It enables users to oversee, control, and optimize their data pipelines both in the cloud and on-site, facilitating a more consistent performance in the applications that drive business success. With Unravel, you gain a holistic perspective of your complete data ecosystem. The platform aggregates performance metrics from all systems, applications, and platforms across any cloud, employing agentless solutions and machine learning to thoroughly model your data flows from start to finish. This allows for an in-depth exploration, correlation, and analysis of every component within your contemporary data and cloud infrastructure. Unravel's intelligent data model uncovers interdependencies, identifies challenges, and highlights potential improvements, providing insight into how applications and resources are utilized, as well as distinguishing between effective and ineffective elements. Instead of merely tracking performance, you can swiftly identify problems and implement solutions. Utilize AI-enhanced suggestions to automate enhancements, reduce expenses, and strategically prepare for future needs. Ultimately, Unravel not only optimizes your data management strategies but also supports a proactive approach to data-driven decision-making.

Introducing the ultimate multicloud monitoring solution that offers real-time analytics for diverse environments, previously known as SignalFx. This platform enables monitoring across any environment using a highly scalable streaming architecture. It features open, adaptable data collection and delivers rapid visualizations of services in mere seconds. Designed specifically for dynamic and ephemeral cloud-native environments, it supports various scales including Kubernetes, containers, and serverless architectures. Users can promptly detect, visualize, and address issues as they emerge. It empowers real-time infrastructure performance monitoring at cloud scale through innovative predictive streaming analytics. With over 200 pre-built integrations for various cloud services and ready-to-use dashboards, it facilitates swift visualization of your entire operational stack. Additionally, the system can autodiscover, break down, group, and explore various clouds, services, and systems effortlessly. This comprehensive solution provides a clear understanding of how your infrastructure interacts across multiple services, availability zones, and Kubernetes clusters, enhancing operational efficiency and response times.

Apica offers a unified platform for efficient data management, addressing complexity and cost challenges. The Apica Ascent platform enables users to collect, control, store, and observe data while swiftly identifying and resolving performance issues. Key features include: *Real-time telemetry data analysis *Automated root cause analysis using machine learning *Fleet tool for automated agent management *Flow tool for AI/ML-powered pipeline optimization *Store for unlimited, cost-effective data storage *Observe for modern observability management, including MELT data handling and dashboard creation This comprehensive solution streamlines troubleshooting in complex distributed systems and integrates synthetic and real data seamlessly

StackState's Topology & Relationship-Based Observability platform allows you to manage your dynamic IT environment more effectively. It unifies performance data from existing monitoring tools and creates a single topology. This platform allows you to: 1. 80% Reduced MTTR by identifying the root cause of the problem and alerting the appropriate teams with the correct information. 2. 65% Less Outages: Through real-time unified observation and more planned planning. 3. 3.3.2. 3x faster releases: Developers are given more time to implement the software. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo

AppScope introduces a revolutionary method for black-box instrumentation, providing comprehensive and consistent telemetry from any Linux executable simply by adding scope before the command. When you engage with customers who utilize Application Performance Management, they often express their satisfaction with the solution but lament the limited extension to additional applications. Typically, only a small fraction—10% or less—of their applications are equipped with APM, while they rely on basic metrics for the remainder. This raises the question: what happens to the other 80%? This is where AppScope comes into play. It eliminates the need for language-specific instrumentation and does not require input from application developers. As a language-agnostic tool that operates entirely in userland, AppScope can be utilized with any application and seamlessly scales from command-line interfaces to production environments. Users can channel AppScope data into any pre-existing monitoring tool, time-series database, or logging solution. Furthermore, AppScope empowers Site Reliability Engineers and Operations teams to closely analyze live applications, providing insights into their functionality and performance across various deployment environments, whether on-premises, in the cloud, or within containerized systems. This capability not only enhances monitoring but also fosters a deeper understanding of application behavior, paving the way for improved performance management.

This portal focuses on Operations and Support for Microsoft Azure Serverless resources. A complement to Azure portal for supporting Azure Serverless Application. Service Bus Explorer does not support automated message processing. Detect failure, autocorrect status, correlate run resubmission, and address Azure portals gaps. Application insights allows you to detect anomalies and correct them. Event Grid subscriptions allow you to view and process dead-letters, as well as extensive monitoring. Simulate test environment, monitor partitions and check for active clients. Auto-clean blobs. Monitor storage account components to check their state and properties. Monitor products, endpoints, and operations from multiple perspectives. Automate managing APIM state. Monitor and manage Azure Relays, including Hybrid relays, with analytics. Monitor the health and performance of Azure Web Apps, including HTTP errors, CPU time, garbage collection, and CPU time.