Alternatives to Apache SkyWalking

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

The Dynatrace software intelligence platform revolutionizes the way organizations operate by offering a unique combination of observability, automation, and intelligence all within a single framework. Say goodbye to cumbersome toolkits and embrace a unified platform that enhances automation across your dynamic multicloud environments while facilitating collaboration among various teams. This platform fosters synergy between business, development, and operations through a comprehensive array of tailored use cases centralized in one location. It enables you to effectively manage and integrate even the most intricate multicloud scenarios, boasting seamless compatibility with all leading cloud platforms and technologies. Gain an expansive understanding of your environment that encompasses metrics, logs, and traces, complemented by a detailed topological model that includes distributed tracing, code-level insights, entity relationships, and user experience data—all presented in context. By integrating Dynatrace’s open API into your current ecosystem, you can streamline automation across all aspects, from development and deployment to cloud operations and business workflows, ultimately leading to increased efficiency and innovation. This cohesive approach not only simplifies management but also drives measurable improvements in performance and responsiveness across the board.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

We address your most pressing business challenges through adaptable, straightforward, and scalable solutions designed to facilitate your digital transformation journey. Start utilizing our premier business observability platform today to achieve comprehensive visibility across your operations with insights tailored for business needs, powered by AppDynamics and Cisco. Focus on what truly matters for your organization and your workforce, allowing you to monitor, collaborate, and act in real time. By gaining a profound understanding of user interactions and application performance, you can convert efficiency into profitability. Link full-stack performance analytics with essential business indicators such as conversion rates, enabling you to swiftly tackle problems before they have a detrimental effect on revenue. Navigate the uncertainties of the modern technological environment with our easily deployable solutions that promote growth, enhance customer satisfaction, and engage your teams in achieving business excellence. By aligning application performance with customer experiences and key business outcomes, you can ensure that critical issues are prioritized effectively, safeguarding your customers' experiences. The synergy between performance metrics and business success is vital for fostering innovation and maintaining a competitive edge.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Transforming data into actionable insights is made simple with Splunk, which is securely and reliably managed as a scalable service. By entrusting your IT backend to our Splunk specialists, you can concentrate on leveraging your data effectively. The infrastructure, provisioned and overseen by Splunk, offers a seamless, cloud-based data analytics solution that can be operational in as little as 48 hours. Regular software upgrades guarantee that you always benefit from the newest features and enhancements. You can quickly harness the potential of your data in just a few days, with minimal prerequisites for translating data into actionable insights. Meeting FedRAMP security standards, Splunk Cloud empowers U.S. federal agencies and their partners to make confident decisions and take decisive actions at mission speeds. Enhance productivity and gain contextual insights with the mobile applications and natural language features offered by Splunk, allowing you to extend the reach of your solutions effortlessly. Whether managing infrastructure or ensuring data compliance, Splunk Cloud is designed to scale effectively, providing you with robust solutions that adapt to your needs. Ultimately, this level of agility and efficiency can significantly enhance your organization's operational capabilities.

Splunk Observability Cloud provides a comprehensive real-time monitoring platform that helps organizations gain visibility into their cloud native environments, infrastructures, applications, and service. It combines metrics with logs and traces to create a unified platform that provides seamless visibility from end-to-end across complex architectures. Splunk Observability helps teams identify and resolve performance problems, reduce downtime and improve system reliability with its powerful analytics and AI-driven insights. It provides real-time data in high resolution and supports a variety of integrations. This allows IT and DevOps to detect anomalies, optimize the performance, and ensure that their cloud and hybrid environment is healthy and efficient.

Azure Monitor enhances the reliability and efficiency of your applications and services by providing an all-encompassing framework for gathering, evaluating, and responding to telemetry from both cloud and on-premises settings. This tool enables you to gain insights into the performance of your applications while also proactively spotting potential problems that may impact them and their associated resources. By leveraging Azure Monitor, organizations can ensure better service quality and user satisfaction through timely interventions.

ServiceNow Cloud Observability provides real-time visibility and monitoring of cloud infrastructure, applications and services. It allows organizations to identify and resolve performance problems by integrating data from different cloud environments into a single dashboard. ServiceNow Cloud Observability's advanced analytics and alerting features help IT and DevOps departments detect anomalies, troubleshoot issues, and ensure optimal performance. The platform supports AI-driven insights and automation, allowing teams the ability to respond quickly to incidents. Overall, the platform improves operational efficiency while ensuring a seamless user-experience across cloud environments.

Get a deep understanding of your cloud-native applications, from microservices architectures to serverless architectures, and quickly identify the root causes of problems. APM can be used to identify anomalies, map dependencies and simplify investigations of outliers. Optimize your code with support for popular programming languages, OpenTelemetry and distributed tracing. Identify performance issues using an automated and curated visual representation that includes all dependencies including cloud, messaging and data stores, as well as third-party services, and their performance data. Drill down into anomalies, transactional details, and metrics to perform a deeper analysis.

Platforms that provide distributed tracing and observability, such as Jaeger are essential for software applications today, which are designed as microservices. Jaeger tracks the flow of data and requests as they travel through a distributed system. These requests can call multiple services which can introduce delays or errors. Jaeger connects these disparate components to identify performance bottlenecks and errors, as well as improve application reliability. Jaeger is cloud-native and infinitely scalable. It's 100% open source.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

APM visibility simplified with high-definition leveraging real-user monitoring, synthetic monitoring and OpenTelemetry that is scalable, simple to use and deploy and unifies insights for end users, networks, applications and the cloud native ecosystem. Microservices deployed across dynamic cloud infrastructure in containers have created a transient and distributed environment on a massive scale. The old methods of scaling APM - sampled transactions, incomplete trace, and aggregate metrics - no longer work, and legacy APM fails to diagnose why critical business applications are still slow. The Riverbed platform provides unified visibility for the modern application ecosystem. It is easy to deploy, manage, and allows for faster troubleshooting of even the most difficult performance issues. Riverbed APM is fully adaptable to the cloud-native environment, delivering comprehensive monitoring for transactions running on modern app and cloud infrastructure.

Uptrace, an OpenTelemetry based observability platform, helps you monitor, understand and optimize distributed systems. Monitor your entire stack of applications on a compact and informative dashboard. You can get a quick view of all your hosts, services, and systems. Distributed tracing lets you see how a request moves through different services and systems, the timing for each operation, and any errors that occur. Metrics let you measure, visualize and monitor different operations quickly and efficiently using heatmaps, histograms and percentiles. Receive a notification if your app is down, or a performance anomaly has been detected. This will help you recover from incidents faster. You can monitor all of these things using the same query: spans. logs. errors. and metrics.

Fluent Bit is able to read local files, network devices and scrape metrics from your server in Prometheus format. All events are automatically tagged in order to determine filtering rules, routing rules, parsing rules, modification and output. The built-in reliability ensures that if there is a network or a server outage, you can resume where you left off. Fluent Bit does not replace your existing logging system, but rather enhances it by optimizing metrics and traces, and adapting the logging layer. Fluent Bit also supports a vendor neutral approach, seamlessly integrating other ecosystems like Prometheus or OpenTelemetry. Fluent Bit is trusted by major cloud providers, companies, and banks that need a ready-to use telemetry agent. It manages data formats and sources while maintaining optimal performance.

Telemetry that is portable, ubiquitous, and high-quality to allow effective observation. OpenTelemetry is an open-source collection of APIs and SDKs. It can be used to instrument, generate logs, logs, or traces telemetry data to analyze the performance and behavior of your software. OpenTelemetry can be used in many languages. You can create and collect telemetry data using your software and services, and then forward them to various analysis tools. OpenTelemetry can be integrated with popular frameworks and libraries like ASP.NET Core Express, Quarkus, Spring, and ASP.NET Core. Integration is as easy as writing a few lines. OpenTelemetry is 100% free and open source. It is supported by industry leaders in observability.

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.

Identify and resolve performance issues and errors within your microservices by analyzing root causes through traces, logs, and metrics. Leverage Aspecto's built-in remote sampling to reduce your OpenTelemetry trace costs effectively. The way OTel data is displayed significantly influences your ability to troubleshoot; with exceptional visualization, you can seamlessly transition from an overarching view down to intricate details. Easily correlate logs with their corresponding traces, allowing you to navigate back and forth with a single click. Maintain context throughout the process to expedite issue resolution. Utilize filters, free-text search, and grouping features to sift through your trace data, enabling you to swiftly identify the location of problems within your system. Optimize expenses by sampling only the necessary data, targeting traces by languages, libraries, routes, and errors. Implement data privacy measures to obscure sensitive information within trace data or specific routes. Additionally, integrate your everyday tools into your workflow, including logs, error monitoring, and external events APIs, to enhance your operational efficiency. This comprehensive approach ensures that your troubleshooting process is not just effective, but also streamlined and cost-efficient.

Squash latencies and detect bottlenecks. Debug errors. Join the rapidly growing community of businesses around the globe that are achieving a 20X ROI and value by adopting KloudMate compared to other observability platforms. Monitor critical metrics and dependencies quickly, and detect anomalies using alarms and issue trackers. Locate 'breakpoints' within your application development lifecycle to fix issues proactively. View service maps of every component within your application and discover intricate dependencies and interconnections. Track every request and operation to gain detailed visibility into performance metrics and execution paths. Unified Infrastructure Monitoring capabilities can be used to monitor metrics, regardless of whether it is a multi-cloud, private, hybrid or hybrid architecture. A complete system view will help you debug faster and more precisely. Identify and solve issues faster.

Log management. Upgraded Honeycomb. Honeycomb is designed for modern developers to help them understand and improve their log management. You can quickly query system logs, metrics, and traces to find unknown unknowns. Interactive charts provide the most detailed view against raw, high-cardinality data. You can set Service Level Objectives (SLOs), based on what users are most interested in, to reduce noise alerts and prioritize work. Customers will be happy if you reduce on-call time, ship code faster, and minimize the amount of work required. Find the cause. Optimize your code. View your prod in high-res.

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

Phoenix is an open-source library aimed at enhancing observability for experimentation, assessment, and troubleshooting. It empowers AI engineers and data scientists to swiftly visualize data, assess performance, identify issues, and export data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix seamlessly integrates with OpenTelemetry and OpenInference instrumentation. The primary package for Phoenix is known as arize-phoenix, and it includes various helper packages tailored for specific needs. Our semantic layer is designed to incorporate LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This open-source library supports tracing for AI applications, allowing for both manual instrumentation and integrations with platforms such as LlamaIndex, Langchain, and OpenAI. LLM tracing meticulously tracks the pathways taken by requests as they navigate through various stages or components of an LLM application, ensuring comprehensive observability. This capability is crucial for optimizing AI workflows and enhancing overall system performance.

Prefix with OpenTelemetry is a great way to optimize app performance. OTel Prefix, the latest open-source observability standard, streamlines application development by allowing for universal telemetry data input, unmatched observability and extended language support. OTel Prefix gives developers the power of OpenTelemetry, supercharging the performance optimization of your entire DevOps Team. OTel Prefix's unmatched observability in new technologies, frameworks and architectures simplifies code development, app creation and ongoing performance optimization of your apps for you and your team. Summary Dashboards are available, as well as distributed tracing and smart suggestions. Prefix also offers developers the ability to jump between logs and traces.

Langtrace is a free observability tool which collects and analyses metrics and traces to help you improve LLM apps. Langtrace provides the highest level security. Our cloud platform is SOC 2 Type II-certified, ensuring the highest level of protection for your data. Supports popular LLMs and frameworks. Langtrace is self-hosted, and it supports OpenTelemetry traces that can be ingested into any observability tools of your choice. This means there is no vendor lock-in. With traces and logs that span the framework, vectorDB and LLM requests, you can gain visibility and insights in your entire ML pipeline. Use golden datasets to create and annotate traced LLM interactions and continuously test and improve your AI applications. Langtrace has built-in heuristics, statistical and model-based analyses to support this process.

Pydantic Logfire, an observability platform, simplifies monitoring of Python applications by transforming logs to actionable insights. It provides visibility, tracing and performance insights into application behavior including request headers, bodies, and the complete trace of execution. Pydantic Logfire is built on OpenTelemetry and integrates with popular libraries. This makes it easier to use, while still retaining the flexibility that OpenTelemetry offers. Developers can use structured data and Python objects that are query-ready to instrument their apps and gain real-time insight through dashboards, alerts, and visualizations. Logfire provides a modern interface for logging that supports manual tracing and context logging. It is designed for developers who are looking for a streamlined observability tool that offers out-of-the box integrations and ease-of-use.

Built on the open-source framework OpenTelemetry, TelemetryHub is the ultimate observability guide, providing data in a single pane of glass for all logs, metrics, and tracing data. A simple, reliable full-stack application monitoring tool that visualizes your complex telemetry data in a consumable format with no propriety configuration or customizations required. TelemetryHub is an easy-to-use and affordable full-stack observability solution provided by Scout APM, an established Application Performance Monitoring tool.

Kubernetes-native security, observability. Security and observability code for cloud-native apps. Cloud-native security code for hosts, Kubernetes containers, Kubernetes components and workloads. This code secures north-south traffic and enables enterprise security controls. It also ensures continuous compliance. Kubernetes native observability is code that collects real-time Telemetry. This data is enriched with Kubernetes context for a topographical view of the interactions between components, from hosts to services. Rapid troubleshooting using machine-learning powered anomaly detection and performance hotspot identification. One framework to centrally secure, monitor, troubleshoot, and manage multi-cloud, multi-cloud, hybrid-cloud and hybrid-cloud environments that run Linux or Window containers. To enforce security and compliance, or to resolve issues, update and deploy policies in seconds.

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

It is used to gather timing data required to troubleshoot latency issues in service architectures. This data can be collected and searched. You can jump to a trace ID if you have it in a log. You can also query by attributes like service, operation name and tags. You will receive a summary of some interesting data, such as how much time you spent on a particular service and whether or not the operation failed. Zipkin UI displays a dependency graph that shows how many traced requests passed through each application. This can be used to identify aggregate behavior, such as error paths or calls made to deprecated service.

SigNoz can be used as an open-source alternative to Datadog or New Relic. A single tool that can handle all your observability requirements, including APM, logs and metrics, exceptions and alerts, dashboards, and dashboards. You don't have to manage multiple tools. You can use the powerful query builder and great charts that come with the software to dig deeper into data. By using an open-source standard, you are not locked into a vendor. OpenTelemetry's auto-instrumentation libraries can help you get started quickly and with minimal code changes. OpenTelemetry provides a single-stop solution to all your telemetry requirements. A single standard for telemetry signals increases developer productivity and consistency within teams. Write queries for all telemetry signals. Apply filters and formulas and run aggregates to gain deeper insights. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregates are lightning fast.

ObservIQ provides telemetry solutions that are highly efficient and easy to use to power world-class observation. We are experts in building observability data pipelines that can be used by global IT leaders. You will have the highest quality, high-fidelity telemetry data available at scale thanks to our uncompromising performance and ease of usage. Open-source telemetry is key to innovation and ecosystem expansion. Open source observability allows end users and partners to have greater control, choice, interoperability, and control over their data. ObservIQ is a key contributor to the rapidly growing OpenTelemetry project. OpenTelemetry has become easier and more efficient thanks to our contributions of logging, metric receivers and the BindPlaneOP observation pipeline. We are a major contributor to the community and work together to create a vibrant, growing ecosystem.

Open source continuous profiling. Find and debug the most painful performance issues in code, infrastructure, and CI/CD pipelines. You can tag your data according to the dimensions that are important to your organization. You can store large volumes of high-cardinality profiling information efficiently and cheaply. FlameQL allows you to create custom queries that select and aggregate profiles quickly for easy analysis. Our suite of profiling software allows you to analyze application performance profiles. Understand CPU and memory resource usage at any time to identify performance issues before your customers do. Store, analyze, and collect profiles from external profiling tools. Link to your OpenTelemetry trace data and get request specific or span specific profiles to enhance other observability information like traces and logs

Small Hours is a platform powered by AI that helps identify the root cause of server exceptions, analyze their impact, and assign them to the appropriate person or team. Use Markdown to guide our assistant when debugging issues. OpenTelemetry is supported for seamless integration. Hook into alarms to identify critical issues. Connect your codebases to runbooks and use them as context and instructions. Your code and data is never stored. Intelligently triage issues, and generate pull requests. Optimized to enterprise scale and velocity. Automated 24/7 root cause analysis to minimize downtime and maximize efficiency.

The cloud-native apps you use today have an order of magnitude higher number of dependencies, ephemerality and releases. APM and proprietary monitoring were created in the era monolithic apps and static infrastructure. They are costly, intrusive, siloed and generate more noise than their value. Although open source and cloud-based monitoring tools provide a solid foundation, they require highly skilled engineers to integrate and maintain the data. Your journey to modern infrastructure is pushing the boundaries of your monitoring framework. It's time to try a new approach. OpsCruise is here! OpsCruise's deep knowledge of Kubernetes combined with our unique ML-based behavior profiling allows your entire team to instantly spot performance degradations and predict their cause. It's a third the cost of current monitoring and you don't have to instrument code, deploy agents or maintain open-source software.

Improving business efficiency through the straightforward identification and resolution of critical incidents is essential. The WatchTower Platform serves as an observability tool that facilitates the resolution of incidents within mainframe environments by seamlessly integrating and correlating metrics, data flows, and events from various IT silos. It provides a cohesive and intuitive experience for operations teams, allowing them to optimize their workflows effectively. Leveraging well-established AIOps methodologies, WatchTower identifies potential problems early, which helps in avoiding issues proactively. Additionally, it employs OpenTelemetry to transmit mainframe data and insights to observability platforms, allowing enterprise Site Reliability Engineers (SREs) to pinpoint bottlenecks and improve operational effectiveness. By enhancing alerts with relevant context, WatchTower eliminates the necessity for multiple logins across different tools to gather crucial information. Moreover, the workflows within WatchTower significantly accelerate the processes of problem identification, investigation, and resolution, while also simplifying the handover and escalation of issues, ultimately fostering a more efficient operational environment. The integration of these features positions WatchTower as an invaluable asset for any organization seeking to enhance its incident management capabilities.

The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.

IBM Instana sets the gold standard for incident prevention, offering automated full-stack visibility, 1-second data granularity, and 3-second notifications. In today’s complex and ever-changing cloud environments, even an hour of downtime can lead to six-figure losses or more. Traditional application performance monitoring (APM) tools often fall short—they’re too slow to keep up, lack the breadth to provide actionable context, and are typically reserved for super users who require extensive training to operate them. IBM Instana Observability goes beyond traditional APM by democratizing access to observability. Teams across DevOps, SRE, Platform Engineering, ITOps, and Development can seamlessly access the data they need, enriched with contextual insights. Instana delivers high-fidelity data with 1-second granularity, end-to-end tracing, and comprehensive visibility into logical, physical, and mobile dependencies spanning applications, web services, and infrastructure. At its core, Instana Dynamic APM leverages an agent-based architecture that uses sensors—lightweight, automated programs designed to monitor specific entities. A single agent per host, deployed either as a standalone process or a container.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

When organizations invest in a platform that unifies data and insights across IT, they can solve problems faster and eliminate data silos. They can also eliminate resource-intensive warrooms and alert fatigue. Riverbed IQ unified observability enables rapid, effective decision making across business and IT. It codifies expert troubleshooting skills so junior staff members can achieve more first level resolutions. Broad-based Telemetry provides a unified view on performance and insights. This is the foundation for unified observability, upon which all other capabilities can be delivered. Riverbed IQ’s approach to unified observability starts with our full-fidelity telemetry – across the network and infrastructure, and including end-user experiences metrics.

BMC Helix Operations Management offers a comprehensive, cloud-native solution for observability and AIOps, specifically engineered to address the complexities of hybrid-cloud settings. By adopting a service-focused strategy for observability data, it facilitates truly impactful AIOps. The platform integrates third-party observability data, including metrics, events, logs, incidents, changes, and topologies, into a unified IT data repository. Users can monitor service health and achieve superior root cause isolation through automatically generated dynamic business service models. The system enhances the signal-to-noise ratio by employing AI-driven event suppression, de-duplication, and correlation techniques that lead to actionable insights. Rapid root cause identification is possible through AI probability assignments to causal nodes, utilizing both data and service models effectively. Proactive measures are supported by Business Service Health monitoring and AI-powered outage prediction, which help avert potential issues. Additionally, troubleshooting is accelerated with log enrichment and analytics, allowing for quicker resolution of problems. It also provides a seamless way to request and implement automations from both BMC and third-party tools, further enhancing operational efficiency. Overall, this solution empowers organizations to maintain optimal performance while minimizing downtime and disruptions.

OpenLIT is a native application observability tool for OpenTelemetry. It is designed to integrate observability into AI with only one line of code. You can use HuggingFace or OpenAI, two popular LLM libraries. OpenLIT's native integration makes it easy to add it to your projects. Analyze LLM performance and GPU costs to maximize efficiency and scalability. Streams data so you can visualize your data, make quick decisions, and modify it. Data is processed quickly and without affecting performance. OpenLIT UI allows you to explore LLM costs and token consumption, performance indicators and user interactions through a simple interface. Connect with popular observability tools, such as Datadog and Grafana Cloud to export data automatically. OpenLIT monitors your applications seamlessly.

Falcon XDR can boost detection and response across your security system. Falcon XDR, which has industry-leading endpoint security at its core, synthesizes multidomain telemetry to provide security personnel with one unified, threat-centric command center. Consolidated, multi-platform Telemetry increases threat correlation and speeds up response times to sophisticated attacks. Transform previously disconnected data into powerful, cross-platform attack indicators and insights to accelerate threat analysis and hunting. Transform XDR insight into orchestrated actions Security teams can design and automate multistage, multiplatform response workflows that allow for surgical, full-stack remedy.

Open-source monitoring solutions are able to power your alerting and metrics. Prometheus stores all data in time series. These are streams of timestamped value belonging to the same metric with the same labeled dimensions. Prometheus can also generate temporary derived times series as a result of queries. Prometheus offers a functional query language called PromQL, which allows the user to select and aggregate time series data real-time. The expression result can be displayed as a graph or tabular data in Prometheus’s expression browser. External systems can also consume the HTTP API. Prometheus can be configured using command-line flags or a configuration file. The command-line flags can be used to configure immutable system parameters such as storage locations and the amount of data to be kept on disk and in memory. . Download: https://sourceforge.net/projects/prometheus.mirror/

NoviFlow's CyberMapper enhances and efficiently scales cybersecurity services along with virtualized network functions to Terabit levels by utilizing an advanced Security Load Balancer, packet filtering, and telemetry capabilities within high-performance programmable network fabrics. This innovative solution achieves remarkable levels of performance, adaptability, and scalability by harnessing the capabilities of programmable match-action pipelines, white-box hardware, and widely accepted interfaces like OpenFlow, gRPC, and P4-runtime. By enabling compatibility with NoviWare™ switches—including NoviFlow’s own NoviSwitches and specific white-box options equipped with the robust Intel/Barefoot Tofino—CyberMapper facilitates seamless load balancing, packet brokering, and telemetry services directly integrated into the network architecture, presenting a compact and scalable alternative that comes at a significantly reduced cost compared to traditional load balancing methods. Furthermore, this approach not only streamlines network operations but also empowers organizations to respond swiftly to evolving cybersecurity challenges.

Network Telemetry: VPC flow logs In near real-time, identify traffic patterns and access patterns that could pose security or operational risks for your organization. Network Telemetry offers both network and security operations, as well as VPC flow logs that are responsive to your needs for Google Cloud networking services. Logging to the Firewall VPC Firewall Logs allows users log firewall access and deny events, with the same responsiveness as VPC flow logs. Monitoring at peak performance VPC flow logs enable you to monitor deployments without any impact on your system performance. Our unique implementation allows you to have in-depth visibility without any performance overhead. More

With today's complex IT environment and applications, which can span traditional data centers, SaaS and IaaS clouds, it can be difficult to gain visibility into performance. When companies use a traditional, siloed management approach, they have a fragmented and incomplete view of performance. IT spends a great deal of time analyzing the data, but often comes to different and sometimes conflicting conclusions about the cause of performance issues. Riverbed Portal integrates telemetry data to create a dynamic, centralized view of performance. This holistic view provides IT Ops teams with a single source for truth to accelerate troubleshooting, and provide meaningful data for all stakeholders across the enterprise. IT can control and optimize data, applications, and traffic on the hybrid network as a whole, allowing key resources to focus on strategic projects.

Elastic is a search company. Elasticsearch, Kibana Beats, Logstash, and Elasticsearch are the founders of the ElasticStack. These SaaS offerings allow data to be used in real-time and at scale for analytics, security, search, logging, security, and search. Elastic has over 100,000 members in 45 countries. Elastic's products have been downloaded more than 400 million times since their initial release. Today, thousands of organizations including Cisco, eBay and Dell, Goldman Sachs and Groupon, HP and Microsoft, as well as Netflix, Uber, Verizon and Yelp use Elastic Stack and Elastic Cloud to power mission critical systems that generate new revenue opportunities and huge cost savings. Elastic is headquartered in Amsterdam, The Netherlands and Mountain View, California. It has more than 1,000 employees in over 35 countries.

Enterprise plugins such as Splunk, ServiceNow and Datadog allow you to view all your data in one place. Collaboration features built-in allow teams to collaborate from one dashboard. Advanced security and compliance features ensure that your data remains secure. Access to Prometheus, Grafite, Grafana experts, and hands-on support. Other vendors will try and sell you an "everything is in my database" mentality. Grafana Labs has a different approach. We want to help with your observation, not own it. Grafana Enterprise gives you access to enterprise plugins. These plugins allow you to import your data sources into Grafana. This allows you to visualize all data in a more efficient and effective manner, allowing you to get the most out of expensive and complex monitoring systems.

The Circonus Platform stands out as the sole monitoring and analytics solution that can manage extraordinary data volumes, handling billions of metric streams in real time to foster essential business insights and value creation. For businesses that rely on performance, Circonus is the ideal choice. This platform simplifies the integration of any technology at any scale, offering out-of-the-box, full-stack integration through its API in just a matter of minutes. With Circonus, customers can effortlessly connect their systems and gain real-time visualization and monitoring of their data. Its innovative patented histogram technology allows for exceptional management of high sampling frequencies, capturing data at intervals as rapid as one millisecond, thereby providing users with a comprehensive and immediate view of their systems. Furthermore, the incorporation of machine learning capabilities enhances the platform by delivering predictive and highly precise insights, empowering customers with a strategic edge in maximizing business value. This unique combination of features positions Circonus as a vital asset for any organization aiming to leverage data for significant competitive advantage.

Goliath Performance Monitor is embedded intelligence and automation that enables IT professionals anticipate, troubleshoot and document end-user experience problems regardless of where they are located. It focuses on three main areas that are most likely to result in support tickets being opened: initiating a logon and the logon process. It also tracks in-session performance. Our technology is designed so that you are alerted to issues in end-user experience before they occur and, if they do, give you the data you need to quickly resolve them. Provide objective evidence in the form reports and historical metrics to support your decision to take corrective actions to prevent future problems. Goliath Performance Monitor gives you the most complete performance data to help you troubleshoot VDI environments. Administrators and support teams can now quickly identify the problem areas in the delivery infrastructure.