Best Telemetry Software in Europe - Page 2

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.

Transmit your data points using the established protocol for IoT and telemetry data. We retain all your information with precision, capturing details down to the millisecond, which enhances your high-resolution applications. Our system guarantees at least once processing while incorporating data deduplication throughout the process. Data is streamed and processed in real-time, ensuring that you receive your results immediately upon availability. Furthermore, our data exploration module empowers you to perform queries on your data, enabling you to analyze and dissect it thoroughly to uncover the insights you need. With these tools, you can make more informed decisions based on comprehensive data analysis.

Network Telemetry: VPC Flow Logs Detecting traffic and access trends that could pose security or operational threats to your organization is achievable in near real-time. Network Telemetry equips both network and security teams with comprehensive and responsive VPC flow logs specifically designed for Google Cloud networking services. Firewall Logging: With VPC Firewall Logs, users can efficiently record both access and denied events of the firewall, enjoying the same level of responsiveness provided by VPC flow logs. Monitoring at Peak Performance: VPC flow logs enable you to oversee your deployments without affecting system performance. Thanks to our innovative approach, activating VPC flow logs grants you extensive visibility without introducing any performance drawbacks. Additionally, the integration of these tools enhances your overall network security posture.

Enhance your security operations with Falcon XDR, which elevates detection and response capabilities throughout your security infrastructure. At its core is leading endpoint protection, and Falcon XDR integrates telemetry from various domains to offer security personnel a centralized, threat-focused command interface. Elevate your EDR capabilities by utilizing consolidated telemetry from multiple platforms, which significantly improves threat correlation and accelerates response efforts against advanced threats. Speed up threat analysis and proactive hunting by converting isolated, fragmented data into robust, cross-platform indicators of attack, actionable insights, and timely alerts. Transform insights gained from XDR into coordinated actions, enabling security teams to create and automate comprehensive, multi-stage response workflows for precise, full-spectrum remediation. This not only streamlines operations but also enhances the effectiveness of your security measures.

Navigating performance visibility in today’s intricate IT landscapes can be quite challenging, particularly with applications that traverse traditional data centers, SaaS, and IaaS cloud setups. A conventional, siloed management approach often leads to a disjointed and incomplete understanding of performance metrics. Consequently, IT teams find themselves dedicating significant time to data analysis, frequently arriving at divergent and sometimes contradictory insights regarding the root causes of performance issues. The Riverbed Portal addresses this issue by consolidating performance telemetry, resulting in a unified and dynamic overview of performance metrics. This comprehensive perspective provides IT operations teams with a reliable single source of truth, which streamlines troubleshooting processes and delivers valuable insights for stakeholders across the organization. Ultimately, this enables IT to effectively manage and enhance applications, data, and traffic within the entire hybrid network, allowing key resources to concentrate on high-priority strategic initiatives while reducing the likelihood of performance-related disputes. By fostering a clearer understanding of performance, teams can make informed decisions that drive overall efficiency and effectiveness within the organization.

When organizations choose to invest in a comprehensive observability platform that integrates data, insights, and actions throughout their IT landscape, they are able to address issues more swiftly while also removing data silos, reducing the need for resource-intensive war rooms, and alleviating alert fatigue. The Riverbed IQ unified observability solution empowers both business and IT to make quick and effective decisions by encapsulating expert troubleshooting knowledge, enabling less experienced staff to deliver more first-level resolutions, which in turn fosters digital innovation and enhances the overall digital experience for both customers and employees. By utilizing broad-based telemetry, organizations can attain a cohesive view of performance and insights, establishing a solid foundation of unified observability that supports the delivery of all other capabilities. Riverbed IQ’s methodology towards unified observability initiates with our full-fidelity telemetry, which spans across network and infrastructure components and incorporates metrics related to the end-user experience, ensuring a comprehensive understanding of system performance. This holistic approach not only streamlines troubleshooting but also positions organizations to respond adeptly to evolving digital demands.

Uptrace is an observability platform built on OpenTelemetry that enables users to track, comprehend, and enhance intricate distributed systems effectively. With a single, streamlined dashboard, you can oversee your entire application stack efficiently. This setup provides a swift view of all services, hosts, and systems in one place. The distributed tracing feature allows you to follow the journey of a request as it flows through various services and components, highlighting the timing of each operation along with any logs and errors that arise in real-time. Through metrics, you can swiftly gauge, visualize, and monitor a variety of operations using tools such as percentiles, heatmaps, and histograms. By receiving alerts when your application experiences downtime or when a performance issue is detected, you can respond to incidents more promptly. Moreover, the platform allows you to monitor all aspects—spans, logs, errors, and metrics—using a unified query language, simplifying the observability process further. This comprehensive approach ensures that you have all the necessary insights to maintain optimal performance in your distributed systems.

Azure Managed Grafana offers a comprehensive, fully managed platform for your analytics and monitoring needs. Backed by Grafana Enterprise, it delivers customizable data visualizations that can be easily tailored to your requirements. You can swiftly set up Grafana dashboards with robust high availability and manage access using Azure’s security features. The service supports a diverse array of data sources, enabling seamless connections to both your Azure data stores and external databases. By integrating charts, logs, and alerts, you can create a unified perspective of your application's performance and infrastructure health. This functionality allows for the correlation of insights across various datasets, enhancing your analytical capabilities. Additionally, you can share Grafana dashboards with team members and external stakeholders, fostering collaboration in monitoring and troubleshooting solutions. This shared access promotes a collective approach to managing and enhancing system performance.

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.

Small Hours serves as an AI-driven observability platform designed to diagnose server exceptions, evaluate their impact, and direct them to the appropriate personnel or team. You can utilize Markdown or your current runbook to assist our tool in troubleshooting various issues effectively. We offer seamless integration with any stack through OpenTelemetry support. You can connect to your existing alerts to pinpoint critical problems swiftly. By linking your codebases and runbooks, you can provide necessary context and instructions for smoother operations. Rest assured, your code and data remain secure and are never stored. The platform intelligently categorizes issues and can even generate pull requests as needed. It is specifically optimized for enterprise-scale performance and speed. With our 24/7 automated root cause analysis, you can significantly reduce downtime while maximizing operational efficiency, ensuring your systems run smoothly at all times.

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.

Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.

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.

Aggregate all your data seamlessly using Enterprise plugins such as Splunk, ServiceNow, Datadog, and others. The integrated collaboration tools enable teams to engage efficiently from a unified dashboard. With enhanced security and compliance features, you can rest assured that your data remains protected at all times. Gain insights from experts in Prometheus, Graphite, and Grafana, along with dedicated support teams ready to assist. While other providers may promote a "one-size-fits-all" database solution, Grafana Labs adopts a different philosophy: we focus on empowering your observability rather than controlling it. Grafana Enterprise offers access to a range of enterprise plugins that seamlessly integrate your current data sources into Grafana. This innovative approach allows you to maximize the potential of your sophisticated and costly monitoring systems by presenting all your data in a more intuitive and impactful manner. Ultimately, our goal is to enhance your data visualization experience, making it simpler and more effective for your organization.

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.

IoT Edge Connect facilitates immediate communication and data handling for devices linked to Akamai. By employing the message queuing telemetry transport (MQTT) and HTTP protocols, it efficiently receives messages. This system processes and relays data to devices in real-time, utilizing a publish-subscribe model. The MQTT protocol enables data to be read from and written to message queues, while the HTTP interface offers a method for accessing these same queues. When connected through the HTTP interface, clients receive messages in topics based on their requests via a REST API, ensuring seamless interaction and data flow. Thus, IoT Edge Connect provides a versatile and responsive solution for managing device communication and data processing.

Fluent Bit is capable of reading data from both local files and network devices, while also extracting metrics in the Prometheus format from your server environment. It automatically tags all events to facilitate filtering, routing, parsing, modification, and output rules effectively. With its built-in reliability features, you can rest assured that in the event of a network or server failure, you can seamlessly resume operations without any risk of losing data. Rather than simply acting as a direct substitute, Fluent Bit significantly enhances your observability framework by optimizing your current logging infrastructure and streamlining the processing of metrics and traces. Additionally, it adheres to a vendor-neutral philosophy, allowing for smooth integration with various ecosystems, including Prometheus and OpenTelemetry. Highly regarded by prominent cloud service providers, financial institutions, and businesses requiring a robust telemetry agent, Fluent Bit adeptly handles a variety of data formats and sources while ensuring excellent performance and reliability. This positions it as a versatile solution that can adapt to the evolving needs of modern data-driven environments.

It aids in collecting timing information essential for diagnosing latency issues within service architectures. Its functionalities encompass both the gathering and retrieval of this data. When you have a trace ID from a log, you can easily navigate directly to it. If you don't have a trace ID, queries can be made using various parameters such as service names, operation titles, tags, and duration. Additionally, notable data is summarized, including the proportion of time spent on each service and the success or failure of operations. The Zipkin user interface also features a dependency diagram that illustrates the volume of traced requests processed by each application. This visualization can be instrumental in recognizing overall patterns, including error trajectories and interactions with outdated services. Overall, this tool not only simplifies the troubleshooting process but also enhances the understanding of service interactions within complex architectures.

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.

We provide comprehensive infrastructure and innovative technology solutions that enable businesses to establish their own tracking and advanced telemetry centers, facilitating growth in the vehicle protection and property security sectors. Efficiently oversee your financial operations, including inventory management, chip handling, equipment tracking, invoicing, and much more, to ensure organized growth. Keep a close eye on your fleet and operations using trustworthy data and detailed management reports. Our independent data centers, certified to Tier III standards, cater to clients globally. Additionally, take advantage of our online training sessions to familiarize yourself with the Getrak platform and enhance your Customer Success strategies. Stay informed with accurate and current data to make informed decisions for your business. With our support, you can confidently navigate the complexities of your industry.

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

Achieve scalable visibility and robust security analytics throughout your organization. Stay one step ahead of new threats in your digital landscape through the cutting-edge machine learning and behavioral modeling capabilities offered by Secure Network Analytics (previously known as Stealthwatch). Gain insights into who is accessing your network and their activities by utilizing telemetry data from your network's infrastructure. Rapidly identify advanced threats and take swift action to mitigate them. Safeguard essential data by implementing smarter network segmentation strategies. This comprehensive solution operates without agents and can adapt as your business expands. Detect intrusions within the ever-evolving network environment with precise alerts that are enhanced with contextual information including user identity, device type, geographical location, timestamps, and application usage. Analyze encrypted traffic to uncover threats and ensure compliance, all without needing to decrypt the data. Leverage advanced analytics to swiftly identify unknown malware, insider threats such as data exfiltration, policy breaches, and other complex attacks. Additionally, retain telemetry data for extended periods to facilitate thorough forensic analysis and further strengthen your security posture.

EDR is a 24-hour job. It doesn't have be your job. EDR is one way to improve your security posture. It can be time-consuming and difficult to turn a tool into an enterprise platform. Red Canary provides industry-leading technology, backed by an experienced team that has managed hundreds of EDR instances over the years. We will work with your team to unlock instant value. While many EDR providers offer SaaS offerings, most have data collection caveats to protect their resources. Red Canary offers full visibility EDR with no on-premise deployment and long term storage. Your endpoints are where a lot of things happen. It takes significant hardware and software resources to collect, index, and store high-volume telemetry. Red Canary allows you to store unlimited telemetry data on-premises or in the cloud. It also makes it easy to access it when you need.

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.

CloudVision represents a sophisticated, multi-faceted network management system that adheres to cloud networking principles, focusing on telemetry, analytics, and automation. It is tailored for diverse environments such as data centers, wired and wireless campuses, multi-cloud infrastructures, and routing scenarios, offering a uniform operational framework that aids enterprises in streamlining network management by dismantling conventional silos. By abstracting the physical network into a comprehensive, network-wide viewpoint, CloudVision enhances the efficiency of various operational tasks and telemetry functions. The platform features turn-key automation capabilities through CloudVision Studios for both initial setup and ongoing management, including Zero Touch Provisioning (ZTP) as-a-Service, configuration oversight, and holistic change control processes, which encompass automated updates, network rollbacks, and snapshots. Additionally, it facilitates real-time state streaming for telemetry and analytics, presenting a contemporary alternative to outdated polling methods that operate on a per-device basis. This modernized approach not only improves operational efficiency but also empowers organizations to respond more dynamically to network conditions.