Telemetry pipelines are systems designed to collect, process, and transport data generated by software, hardware, or networks. They gather metrics, logs, traces, and events from various sources to provide insight into system performance and behavior. The pipeline typically includes stages for data ingestion, transformation, filtering, and routing to appropriate destinations. These destinations might include storage systems, dashboards, or alerting mechanisms. Scalability and reliability are crucial, as telemetry data can be high in volume and velocity. A well-designed telemetry pipeline enables proactive monitoring, troubleshooting, and optimization of complex systems.
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Approximately 25 million engineers are employed across a wide variety of specific roles. As companies increasingly transform into software-centric organizations, engineers are leveraging New Relic to obtain real-time insights and analyze performance trends of their applications. This capability enables them to enhance their resilience and deliver outstanding customer experiences. New Relic stands out as the sole platform that provides a comprehensive all-in-one solution for these needs. It supplies users with a secure cloud environment for monitoring all metrics and events, robust full-stack analytics tools, and clear pricing based on actual usage. Furthermore, New Relic has cultivated the largest open-source ecosystem in the industry, simplifying the adoption of observability practices for engineers and empowering them to innovate more effectively. This combination of features positions New Relic as an invaluable resource for engineers navigating the evolving landscape of software development.
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Datadog serves as a comprehensive monitoring, security, and analytics platform tailored for developers, IT operations, security professionals, and business stakeholders in the cloud era. Our Software as a Service (SaaS) solution merges infrastructure monitoring, application performance tracking, and log management to deliver a cohesive and immediate view of our clients' entire technology environments. Organizations across various sectors and sizes leverage Datadog to facilitate digital transformation, streamline cloud migration, enhance collaboration among development, operations, and security teams, and expedite application deployment. Additionally, the platform significantly reduces problem resolution times, secures both applications and infrastructure, and provides insights into user behavior to effectively monitor essential business metrics. Ultimately, Datadog empowers businesses to thrive in an increasingly digital landscape.
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VirtualMetric
VirtualMetric
Streamline data collection and enhance security monitoring effortlessly.VirtualMetric is a cutting-edge telemetry pipeline and security monitoring platform designed to provide enterprise-level data collection, analysis, and optimization. Its flagship solution, DataStream, simplifies the process of collecting and enriching security logs from a variety of systems, including Windows, Linux, and MacOS. By filtering out non-essential data and reducing log sizes, VirtualMetric helps organizations cut down on SIEM ingestion costs while improving threat detection and response times. The platform’s advanced features, such as zero data loss, high availability, and long-term compliance storage, ensure businesses can handle increasing telemetry volumes while maintaining robust security and compliance standards. With its comprehensive access controls and scalable architecture, VirtualMetric enables businesses to optimize their data flows and bolster their security posture with minimal manual intervention. -
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Cribl Stream
Cribl
Transform data efficiently for smarter, cost-effective analytics.Cribl Stream enables the creation of an observability pipeline that facilitates the parsing and reformatting of data in real-time before incurring costs for analysis. This tool ensures that you receive the necessary data in your desired format and at the appropriate destination. It allows for the translation and structuring of data according to any required tooling schema, efficiently routing it to the suitable tools for various tasks or all necessary tools. Different teams can opt for distinct analytics platforms without needing to install additional forwarders or agents. A staggering 50% of log and metric data can go unutilized, encompassing issues like duplicate entries, null fields, and fields that lack analytical significance. With Cribl Stream, you can eliminate superfluous data streams, focusing solely on the information you need for analysis. Furthermore, it serves as an optimal solution for integrating diverse data formats into the trusted tools utilized for IT and Security purposes. The universal receiver feature of Cribl Stream allows for data collection from any machine source and facilitates scheduled batch collections from REST APIs, including Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIs, streamlining the data management process. Ultimately, this functionality empowers organizations to enhance their data analytics capabilities significantly. -
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Edge Delta
Edge Delta
Revolutionize observability with real-time data processing solutions!Edge Delta introduces a groundbreaking approach to observability, being the sole provider that processes data at the moment of creation, allowing DevOps, platform engineers, and SRE teams the flexibility to direct it wherever needed. This innovative method empowers clients to stabilize observability expenses, uncover the most valuable insights, and customize their data as required. A key feature that sets us apart is our distributed architecture, which uniquely enables data processing to occur at the infrastructure level, allowing users to manage their logs and metrics instantaneously at the source. This comprehensive data processing encompasses: * Shaping, enriching, and filtering data * Developing log analytics * Refining metrics libraries for optimal data utility * Identifying anomalies and activating alerts Our distributed strategy is complemented by a column-oriented backend, facilitating the storage and analysis of vast data quantities without compromising on performance or increasing costs. By adopting Edge Delta, clients not only achieve lower observability expenses without losing sight of key metrics but also gain the ability to generate insights and initiate alerts before the data exits their systems. This capability allows organizations to enhance their operational efficiency and responsiveness to issues as they arise. -
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Vector by Datadog
Datadog
Streamline observability data management with speed and flexibility.Consolidate, modify, and oversee all your logs and metrics using a single, intuitive tool. Crafted in Rust, Vector is known for its remarkable speed and efficient memory use, designed to handle even the heaviest workloads seamlessly. Its purpose is to function as your comprehensive solution for transferring observability data between various points, with deployment options as a daemon, sidecar, or aggregator. By providing support for both logs and metrics, Vector streamlines the collection and processing of your observability data. It stands neutral to any specific vendor platforms, fostering an equitable and open ecosystem that emphasizes your priorities. With no risk of vendor lock-in and a focus on future-proofing, Vector offers highly customizable transformations that harness the full power of programmable runtimes. This flexibility allows you to address complex scenarios without limitations. Recognizing the significance of reliability, Vector clearly delineates the guarantees it provides, allowing you to make informed choices that fit your unique needs. Moreover, this transparency not only enhances data management but also instills confidence in your operational strategies. Ultimately, Vector empowers you to navigate the complexities of observability with ease and assurance. -
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CloudFabrix
CloudFabrix Software
Transforming complexity into efficiency with intelligent automation solutions.For modern digital-first enterprises, ensuring service quality is a crucial objective and has evolved into an essential element of their business applications. The increasing complexity of these applications, driven by advancements in 5G technology, edge computing, and containerized cloud-native systems, necessitates effective solutions. RDAF plays a vital role by integrating various data sources and identifying root causes through dynamic AI and machine learning pipelines. Subsequently, it employs intelligent automation to address issues efficiently. Companies that rely on data should carefully consider the evaluation, assessment, and implementation of RDAF to accelerate innovation, shorten the time to realize value, adhere to service level agreements, and enhance overall customer experiences, ultimately positioning themselves for success in a competitive landscape. By leveraging RDAF, organizations can not only improve their operational efficiency but also foster a culture of continuous improvement and responsiveness to market demands. -
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Honeycomb
Honeycomb.io
Unlock insights, optimize performance, and streamline log management.Transform your log management practices with Honeycomb, a platform meticulously crafted for modern development teams that seek to extract valuable insights into application performance while improving log management efficiency. Honeycomb’s fast query capabilities allow you to reveal concealed issues within your system’s logs, metrics, and traces, employing interactive charts that deliver thorough examinations of raw data with high cardinality. By establishing Service Level Objectives (SLOs) that align with user priorities, you can minimize unnecessary alerts and concentrate on critical tasks. This streamlined approach not only reduces on-call duties but also accelerates code deployment, ultimately ensuring high levels of customer satisfaction. You can pinpoint the root causes of performance issues, optimize your code effectively, and gain a clear view of your production environment in impressive detail. Our SLOs provide timely alerts when customers face challenges, facilitating quick investigations into the underlying issues—all managed from a unified interface. Furthermore, the Query Builder allows for seamless data analysis, enabling you to visualize behavioral patterns for individual users and services, categorized by various dimensions for enriched analytical perspectives. This all-encompassing strategy guarantees that your team is equipped to proactively tackle performance obstacles while continuously enhancing the user experience, thus fostering greater engagement and loyalty. Ultimately, Honeycomb empowers your team to maintain a high-performance environment that is responsive to users' needs. -
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FusionReactor
Intergral
Optimize performance and swiftly resolve issues effortlessly.FusionReactor efficiently pinpoints performance issues in your Java or ColdFusion applications, as well as in the accompanying server and database, enhancing the overall speed and efficiency of your systems. With its built-in production-safe Debugger, it swiftly locates bugs and minimizes technical debt, enabling you to focus more on crafting superior code. The tool continuously observes your application and database, and should any errors arise, it automatically initiates a root cause analysis, promptly informing you of the issue's location, eliminating the need for tedious searching. This means that you can address problems immediately and restore functionality without delay. A free trial is available at https://www.fusion-reactor.com/start-free-trial/, allowing you to explore all essential APM features, alongside innovative additions you may not have been aware of. Ultimately, FusionReactor stands out as a groundbreaking APM solution that helps maintain the uptime of production systems and delivers improved outcomes. By leveraging its capabilities, developers can enhance their applications while ensuring a smoother user experience. -
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ObserveNow
OpsVerse
OpsVerse is a business located in 2021 in the United States that's known for a software product called ObserveNow. ObserveNow includes training via documentation, live online, webinars, and videos. ObserveNow offers a free version. ObserveNow is SaaS and On-Premise software. ObserveNow includes 24/7 live and online support. Product cost starts at $12 per month. ObserveNow is a type of observability software. Alternative software products to ObserveNow are Tanzu Observability, SolarWinds Observability Self-Hosted, and HCL iObserve. -
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Mezmo
Mezmo
Effortless log management, secure insights, streamlined operational efficiency.You have the ability to quickly centralize, oversee, analyze, and generate reports on logs from any source, regardless of the amount. This comprehensive suite features log aggregation, custom parsing, intelligent alerts, role-specific access controls, real-time search capabilities, visual graphs, and log analysis, all integrated effortlessly. Our cloud-based SaaS solution can be set up in just two minutes, gathering logs from platforms such as AWS, Docker, Heroku, Elastic, and various others. If you're utilizing Kubernetes, a simple login will allow you to execute two kubectl commands without hassle. We offer straightforward, pay-per-GB pricing with no hidden fees or overage charges, along with the option of fixed data buckets. You will only be billed for the data you actually use each month, and our services are backed by Privacy Shield certification while adhering to HIPAA, GDPR, PCI, and SOC2 regulations. Your logs are secured both during transit and when stored, utilizing state-of-the-art military-grade encryption for maximum safety. With user-friendly features and natural search queries, developers are equipped to work more efficiently, allowing you to save both time and money without needing specialized training. This powerful toolset ensures operational efficiency and peace of mind while handling your log data. -
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Bindplane
observIQ
Transform IT operations with real-time, relationship-aware insights.Bindplane offers a unified telemetry pipeline built on OpenTelemetry, providing businesses with comprehensive tools for managing and optimizing their observability processes. It enables the collection and processing of metrics, logs, traces, and profiles, streamlining telemetry management across modern cloud-native and legacy environments. Bindplane simplifies data routing, allowing users to send compliance data to cloud storage while routing real-time analytics to SIEM platforms. The platform supports high scalability, reducing log volumes by up to 40% before data is sent to its destination. Bindplane's centralized management, encryption features, and no-code controls ensure businesses can easily integrate and optimize their observability workflows with minimal effort. -
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Middleware
Middleware Lab
Transform cloud monitoring with AI-driven insights and efficiency.An innovative cloud observation platform powered by AI offers a middleware solution that enables users to pinpoint, comprehend, and address issues within their cloud infrastructure. This AI-driven system identifies and diagnoses a variety of issues related to applications and infrastructure, providing insightful recommendations for their resolution. With a real-time dashboard, users can effectively monitor metrics, logs, and traces, ensuring optimal outcomes with minimal resource expenditure. The platform consolidates all relevant data into a cohesive timeline, delivering a comprehensive observability solution that grants full visibility into cloud operations. Leveraging advanced algorithms, the AI analyzes incoming data and proposes actionable fixes, while giving users complete control over their data collection and storage, potentially reducing costs by up to tenfold. By connecting the dots from the origin to the resolution of problems, issues can be addressed proactively, often before they reach the users. Ultimately, the platform provides a centralized and cost-effective solution for cloud observability, enhancing overall operational efficiency. This empowers users to maintain their cloud systems with greater confidence and effectiveness. -
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Gigamon
Gigamon
Transform your network with unparalleled visibility and intelligence.Kickstart Your Digital Transformation Journey. Manage complex digital applications across your network with unparalleled intelligence and insight. The everyday responsibility of ensuring your network remains consistently available can often be daunting. As networks evolve, the volume of data increases, and the number of users and applications grows, effective oversight and management become more difficult. So, how can you effectively navigate your Digital Transformation? Envision the ability to ensure network reliability while simultaneously gaining a clear understanding of your data as it flows through physical, virtual, and cloud settings. Attain extensive visibility across all networks, tiers, and applications, while also gathering essential intelligence on your intricate application frameworks. Solutions offered by Gigamon can vastly enhance the performance of your entire network ecosystem. Are you prepared to explore how these advancements can revolutionize your operations and lead to greater efficiency? -
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Tarsal
Tarsal
Revolutionize data management with effortless scalability and efficiency.Tarsal offers boundless scalability, ensuring that as your business grows, it can effortlessly accommodate your evolving requirements. With just a single click, Tarsal allows you to change where your data is directed; for instance, data that functions as SIEM information today can be repurposed as data lake content tomorrow. This means you can sustain your SIEM while progressively transitioning your analytics to a data lake without the hassle of a complete system revamp. Although some analytics might not integrate smoothly with your existing SIEM, Tarsal equips you to have data prepared for queries in a data lake setting. Recognizing that your SIEM incurs considerable costs, leveraging Tarsal to shift some of that data to your data lake can serve as a financially wise decision. Tarsal distinguishes itself as the pioneering highly scalable ETL data pipeline tailored specifically for security teams, enabling swift exfiltration of extensive data volumes with minimal effort. Thanks to its immediate normalization capabilities, Tarsal facilitates the efficient routing of data to any chosen destination, revolutionizing data management to be more straightforward and effective. This adaptability not only allows organizations to optimize their resources but also significantly enhances their data handling efficiency, ultimately leading to improved operational performance. -
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Observo AI
Observo AI
Observo AI is a business located in 2022 in the United States that's known for a software product called Observo AI. Observo AI includes training via documentation, live online, webinars, and videos. Observo AI is SaaS software. Observo AI includes online support. Observo AI is a type of AI data analytics software. Alternative software products to Observo AI are Observe, VirtualMetric, and Tenzir. -
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Onum
Onum
Onum is a business located in 2022 in Spain that's known for a software product called Onum. Onum includes training via documentation, live online, and videos. Onum is SaaS software. Onum includes online support. Onum is a type of data pipeline software. Alternative software products to Onum are DataBahn, Tenzir, and FLIP. -
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DataBahn
DataBahn
DataBahn is a business in the United States that's known for a software product called DataBahn. DataBahn includes training via documentation, live online, webinars, and in person sessions. DataBahn is SaaS and On-Premise software. DataBahn includes phone support and online support. DataBahn is a type of data fabric software. Alternative software products to DataBahn are Dagster+, VirtualMetric, and K2View. -
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Tenzir
Tenzir
Tenzir is a business located in 2017 in Germany that's known for a software product called Tenzir. Tenzir includes training via documentation and live online. Tenzir is SaaS software. Tenzir includes online support. Tenzir is a type of data pipeline software. Alternative software products to Tenzir are Onum, VirtualMetric, and Datastreamer. -
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Skedler
Guidanz
Effortless reporting and alerts tailored for your organization.Skedler provides an exceptionally flexible and easy-to-use platform for reporting and alerting, making it a perfect choice for organizations that wish to exceed customer service level agreements, maintain compliance, and improve operational transparency for their stakeholders. In just a matter of minutes, you can automate reports sourced from Elastic Stack and Grafana. The platform's ability to produce aesthetically pleasing and accurate PDF reports allows managers and clients to avoid the hassle of logging into dashboards. Instead, they can conveniently receive vital operational metrics and trends directly via email in formats such as PDF, CSV, Excel, or HTML. By enabling the rapid automation of these reports, Skedler serves as an effective tool for engaging your stakeholders. Additionally, the process of connecting Skedler to your Elastic Stack and Grafana is both quick and uncomplicated, allowing you to deliver impressive reports to stakeholders in no time. With Skedler's user-friendly no-code interface, even those lacking technical skills can design visually captivating reports and reliable alerts. This empowers stakeholders to better visualize and understand data, while showcasing your capabilities through customizable templates, flexible layouts, and timely notifications, ultimately ensuring that your reporting needs are met with ease. Furthermore, the platform's versatility means it can adapt to the evolving needs of your organization, providing a comprehensive solution for all your reporting and alerting requirements. -
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Apica
Apica
Streamline data management effortlessly, optimize performance, enhance efficiency.Apica provides a cohesive solution for streamlined data management, tackling issues related to complexity and expenses effectively. With the Apica Ascent platform, users can efficiently gather, manage, store, and monitor data while quickly diagnosing and addressing performance challenges. Notable features encompass: *Real-time analysis of telemetry data *Automated identification of root causes through machine learning techniques *Fleet tool for the management of agents automatically *Flow tool leveraging AI/ML for optimizing data pipelines *Store offering limitless, affordable data storage options *Observe for advanced management of observability, including MELT data processing and dashboard creation This all-encompassing solution enhances troubleshooting in intricate distributed environments, ensuring a seamless integration of both synthetic and real data, ultimately improving operational efficiency. By empowering users with these capabilities, Apica positions itself as a vital asset for organizations facing the demands of modern data management. -
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Chronosphere
Chronosphere
Revolutionary monitoring solution for cloud-native systems' efficiency.Tailored specifically to meet the unique monitoring requirements of cloud-native systems, this innovative solution has been meticulously crafted to handle the vast quantities of monitoring data produced by cloud-native applications. It functions as a cohesive platform that unites business stakeholders, application developers, and infrastructure engineers, allowing them to efficiently address issues across the entire technology stack. The platform is designed to cater to a variety of use cases, from real-time data collection for ongoing deployments to hourly analytics for capacity management. With a convenient one-click deployment feature, it supports both Prometheus and StatsD ingestion protocols effortlessly. The solution provides comprehensive storage and indexing capabilities for both Prometheus and Graphite data types within a unified framework. In addition, it boasts integrated Grafana-compatible dashboards that are fully equipped to handle PromQL and Graphite queries, complemented by a dependable alerting engine that can interface with services such as PagerDuty, Slack, OpsGenie, and webhooks. Capable of ingesting and querying billions of metric data points every second, the system facilitates swift alert triggering, immediate dashboard access, and prompt issue detection within merely one second. To further enhance its reliability, it maintains three consistent copies of data across different failure domains, significantly strengthening its resilience in the realm of cloud-native monitoring. This ensures that users can trust the system during critical operations and rely on its performance even during peak loads. -
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Conifers CognitiveSOC
Conifers
Elevate your security operations with seamless, intelligent integration.Conifers.ai's CognitiveSOC platform aims to elevate the capabilities of existing security operations centers by integrating smoothly with the current teams, tools, and portals, effectively tackling complex challenges with enhanced precision and situational awareness, thereby serving as a significant force multiplier. By utilizing adaptive learning alongside a deep understanding of organizational knowledge and a strong telemetry pipeline, the platform equips SOC teams to address challenging issues on a larger scale. It functions seamlessly with the existing ticketing systems and interfaces used by your SOC, removing the necessity for any changes in workflow. The platform continuously assimilates the organization's knowledge and closely monitors analysts to improve its use cases. Through its layered coverage strategy, it diligently analyzes, triages, investigates, and resolves intricate incidents, offering conclusions and contextual insights that adhere to your organization's policies and procedures while ensuring that human oversight remains pivotal in the process. Furthermore, this all-encompassing system not only enhances efficiency but also cultivates a collaborative atmosphere where technology and human skills complement each other effectively, leading to superior security outcomes. In this way, CognitiveSOC not only fortifies defenses but also empowers teams to respond more adeptly to emerging threats. -
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OpenTelemetry
OpenTelemetry
Transform your observability with effortless telemetry integration solutions.OpenTelemetry offers a comprehensive and accessible solution for telemetry that significantly improves observability. It encompasses a collection of tools, APIs, and SDKs that facilitate the instrumentation, generation, collection, and exportation of telemetry data, including crucial metrics, logs, and traces necessary for assessing software performance and behavior. This framework supports various programming languages, enhancing its adaptability for a wide range of applications. Users can easily create and gather telemetry data from their software and services, and subsequently send this information to numerous analytical platforms for more profound insights. OpenTelemetry integrates smoothly with popular libraries and frameworks such as Spring, ASP.NET Core, and Express, among others, ensuring a user-friendly experience. Moreover, the installation and integration process is straightforward, typically requiring only a few lines of code to initiate. As an entirely free and open-source tool, OpenTelemetry has garnered substantial adoption and backing from leading entities within the observability sector, fostering a vibrant community and ongoing advancements. The community-driven approach ensures that developers continually receive updates and support, making it a highly attractive option for those looking to boost their software monitoring capabilities. Ultimately, OpenTelemetry stands out as a powerful ally for developers aiming to achieve enhanced visibility into their applications.
Telemetry Pipelines Buyers Guide
In today’s digitally driven business landscape, data is the foundation of insight, strategy, and operational excellence. Among the vast streams of digital information flowing through modern enterprises, telemetry data—collected from applications, infrastructure, and networks—plays a pivotal role. But raw data in itself isn’t enough. To convert this firehose of information into actionable intelligence, businesses rely on telemetry pipelines. These systems handle the collection, processing, transformation, and routing of telemetry data to ensure that the right data reaches the right tools at the right time. Whether you're a CIO, operations leader, or someone exploring observability as part of your digital transformation initiatives, understanding telemetry pipelines is essential for making informed decisions.
What Exactly Is a Telemetry Pipeline?
At its core, a telemetry pipeline is a structured system that ingests telemetry data—such as logs, metrics, traces, and events—from a wide variety of sources. It then routes, transforms, filters, and enriches this data before delivering it to observability platforms, storage solutions, or analytics tools. Think of it as the circulatory system of your monitoring and diagnostics stack: quietly but efficiently moving vital signals across the enterprise.
These pipelines are not merely conduits. They are intelligent, policy-driven systems that optimize telemetry for cost, performance, and visibility. Instead of sending unfiltered, high-volume data directly to downstream systems (which can lead to ballooning costs and information overload), telemetry pipelines allow businesses to tailor the flow and fidelity of data in a manageable and strategic way.
Why Businesses Are Turning to Telemetry Pipelines
The volume of machine-generated data has exploded, and legacy approaches to telemetry—where each tool collects its own data in a silo—can’t keep pace with the speed, scale, or complexity of modern environments. Telemetry pipelines offer a centralized, flexible solution for organizations that want to reclaim control of their data.
Key benefits include:
- Data Governance and Control: Telemetry pipelines enable organizations to define what data is important and where it should go. This leads to more intentional observability strategies and better compliance outcomes.
- Cost Optimization: By filtering out redundant or irrelevant telemetry, businesses can reduce the storage and processing costs associated with observability tools.
- Operational Agility: Centralized pipelines allow teams to re-route data, adopt new tools, or change data destinations without having to touch every single source.
- Improved Data Quality: With the ability to enrich and normalize telemetry, these pipelines help ensure downstream tools receive context-rich, usable data.
Core Components of a Telemetry Pipeline
While implementations vary, most telemetry pipelines include the following building blocks:
- Ingestion Layer: The point of entry where data from applications, services, containers, and infrastructure is captured.
- Transformation Layer: This is where the magic happens. Data is parsed, filtered, enriched, redacted, or aggregated based on policies.
- Routing and Distribution: The transformed telemetry is then directed to one or more destinations, such as logging platforms, metrics databases, or incident response systems.
- Storage and Archiving (Optional): In some cases, pipelines also support long-term storage of raw or processed data for compliance or historical analysis.
Key Considerations When Evaluating a Telemetry Pipeline
Before you invest in a telemetry pipeline, there are a number of strategic questions to ask:
- Does it support all your existing telemetry sources and formats (e.g., logs, metrics, traces)?
- Can it scale horizontally to accommodate future growth?
- How easy is it to set up transformation rules or filters?
- Does it provide visibility into data flow, failures, and bottlenecks?
- How vendor-agnostic is the pipeline? Will it lock you into a specific ecosystem?
- Is it built to work across multi-cloud or hybrid environments?
Additionally, keep your internal capabilities in mind. Some pipelines require significant engineering expertise to configure and maintain, while others are designed for easier adoption by operations teams with limited developer support.
Common Use Cases
Understanding how telemetry pipelines are used in the real world can help you align your investment with your organization’s objectives. Common scenarios include:
- Centralized Observability: Unifying telemetry from diverse systems into a single, coherent view across departments.
- Security Monitoring: Routing security-relevant events to SIEMs or threat detection platforms, often with custom enrichment for better correlation.
- Cost Control: Reducing the amount of high-cardinality telemetry sent to expensive platforms by aggregating or sampling the data upstream.
- DevOps Automation: Feeding telemetry into CI/CD pipelines or incident management tools to support faster feedback and better reliability.
Final Thoughts
Implementing a telemetry pipeline is not just an IT project—it’s a strategic move that can impact everything from how you troubleshoot incidents to how you allocate budget for observability tools. In an age where every click, process, and transaction generates valuable insights, having a flexible and intelligent telemetry pipeline is quickly becoming a competitive necessity.
By investing the time to understand your current telemetry challenges and mapping them to your business priorities, you’ll be better positioned to select a solution that doesn’t just move data—but moves your business forward.