TelemetryHub Alternatives

There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.

Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. 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. 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.

IT performance monitoring is not about monitoring CPU, memory and network resources any more. eG Enterprise makes user experience the centerpiece of your IT monitoring and management strategy. With eG Enterprise, you can measure the digital experience of your users, get deep visibility into the performance the entire application delivery stack — from code to user experience, and data center to cloud — from a single pane of glass, correlate performance across domains and pinpoint the root-cause of problems proactively. Machine learning and analytics capabilities embedded in eG Enterprise enable IT teams make intelligent decisions regarding right-sizing, optimization and planning for future growth. The result: happy users, enhanced productivity, improved IT efficiency and tangible business ROI. eG Enterprise is available for installation on-premise and as a SaaS solution. Start a free trial today.

Splunk Log Observer enables DevOps teams to understand the “why” behind application behavior. Splunk Log Observer sets up in minutes and connects to critical developer and SRE-oriented logs. Splunk Log Observer also enables easy browsing and exploration of logs. Get started quickly. Splunk® Log Observer on-boards some of the most popular data sources, including OpenTelemetry, Kubernetes, Fluentd and multiple AWS services in-context with all your telemetry data. Reduce time troubleshooting. Live Tail allows SREs and developers to filter and watch critical logs without having to learn a query language. Quickly dive into the relevant set of logs to fix any potential problems right away. Reduce time-consuming context switching between monitoring and troubleshooting. Splunk Log Observer, part of Splunk Observability Cloud is designed so that an attribute of a trace — whether a specific trace ID — or a parameter of a tag becomes a filter to remove extraneous steps from log exploration.

The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.

Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior.

Lightstep’s mission is to deliver confidence at scale for those who develop, operate and rely on today’s powerful software applications. Its products leverage distributed tracing technology – initially developed by a Lightstep co-founder at Google – to offer best-of-breed observability to organizations adopting microservices or serverless at scale.Every dependency. Every deploy. Every regression. See it all with the world’s most insightful tracing. We co-founded open standards like OpenTelemetry and OpenTracing to give developers access to portable, vendor-neutral telemetry data. Now you can get started in less time than it takes to microwave a burrito. Yes, you read that right. Lightstep analyzes 100% of your unsampled event data in seconds, and automatically surfaces the likely root cause — no matter how rare, specific, or deep in the stack.

SigNoz is an open source Datadog or New Relic alternative. A single tool for all your observability needs, APM, logs, metrics, exceptions, alerts, and dashboards powered by a powerful query builder. You don’t need to manage multiple tools for traces, metrics, and logs. Get great out-of-the-box charts and a powerful query builder to dig deeper into your data. Using an open source standard frees you from vendor lock-in. Use auto-instrumentation libraries of OpenTelemetry to get started with little to no code change. OpenTelemetry is a one-stop solution for all your telemetry needs. A single standard for all telemetry signals means increased developer productivity and consistency across teams. Write queries on all telemetry signals. Run aggregates, and apply filters and formulas to get deeper insights from your data. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregations are lightning-fast.

Langtrace is an open source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. Langtrace ensures the highest level of security. Our cloud platform is SOC 2 Type II certified, ensuring top-tier protection for your data. Supports popular LLMs, frameworks, and vector databases. Langtrace can be self-hosted and supports OpenTelemetry standard traces, which can be ingested by any observability tool of your choice, resulting in no vendor lock-in. Get visibility and insights into your entire ML pipeline, whether it is a RAG or a fine-tuned model with traces and logs that cut across the framework, vectorDB, and LLM requests. Annotate and create golden datasets with traced LLM interactions, and use them to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process.

High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. OpenTelemetry is generally available across several languages and is suitable for use. Create and collect telemetry data from your services and software, then forward them to a variety of analysis tools. OpenTelemetry integrates with popular libraries and frameworks such as Spring, ASP.NET Core, Express, Quarkus, and more! Installation and integration can be as simple as a few lines of code. 100% Free and Open Source, OpenTelemetry is adopted and supported by industry leaders in the observability space.

Fluent Bit can read from local files and network devices, and can scrape metrics in the Prometheus format from your server. All events are automatically tagged to determine filtering, routing, parsing, modification and output rules. Built-in reliability means if you hit a network or server outage you will be able to resume from where you left off without data loss. Rather than serving as a drop-in replacement, Fluent Bit enhances the observability strategy for your infrastructure by adapting and optimizing your existing logging layer, as well as metrics and traces processing. Furthermore, Fluent Bit supports a vendor-neutral approach, seamlessly integrating with other ecosystems such as Prometheus and OpenTelemetry. Trusted by major cloud providers, banks, and companies in need of a ready-to-use telemetry agent solution, Fluent Bit effectively manages diverse data sources and formats while maintaining optimal performance.

It’s easy to maximize app performance with your FREE preview trial of Prefix featuring OpenTelemetry. With the latest open-source observability protocol, OTel Prefix streamlines application development with universal telemetry data ingestion, unmatched observability, and extended language support. OTel Prefix puts the power of OpenTelemetry in the hands of developers, supercharging performance optimization for your entire DevOps team. With unmatched observability across user environments, new technologies, frameworks, and architectures, OTel Prefix simplifies every step in code development, app creation, and ongoing performance optimization for your apps and your team! With Summary Dashboards, consolidated logs, distributed tracing, smart suggestions, and the ability to jump from logs to traces (and back), Prefix puts powerful APM capabilities in the hands of developers.

From observability pipelines to telemetry agents to high fidelity metrics and log integrations, observIQ delivers highly performant, easy to use telemetry solutions to power world-class observability. We have unparalleled expertise building observability data pipelines for global IT leaders. Our uncompromising approach to performance and ease of use equips you with the most reliable, high fidelity telemetry data at scale. Making telemetry open source is accelerating innovation and ecosystem expansion. By expanding open source observability, partners and end users alike have more control, choice, and interoperability. ObservIQ is one of the most active contributors to the fast-growing OpenTelemetry project. Our contributions of logging, metric receivers, and the BindPlaneOP observability pipeline has made OpenTelemetry easier and more useful. As a top contributor, we collaborate with the community to ensure access to a vibrant and growing ecosystem.

Troubleshoot performance bottlenecks and errors within your microservices. Correlate root causes across traces, logs, and metrics. Cut your OpenTelemetry traces cost with Aspecto built-in remote sampling. How OTel data is visualized impacts your troubleshooting abilities. Go from a high-level overview to the very last detail with best-in-class visualization. Correlate logs and traces. From logs to their matched traces and back with one click. Never lose context and resolve issues faster. Use filters, free-text search, and groups to search your trace data and quickly pinpoint where in your system the problem is occurring. Cut your costs by sampling only the data you need. Sample traces based on languages, libraries, routes, and errors. Set data privacy rules to hide sensitive fields within trace data, specific routes, or anywhere else. Connect your day-to-day tools with your workflow. Logs, error monitoring, external events API, and more.

Innovate faster in the cloud, elevate user experience and future-proof your applications. Built for the cloud-native enterprise, Splunk helps you solve modern issues. Detect any issue before it turns into a customer problem. Reduce MTTR with our real-time, AI-driven Directed Troubleshooting. Flexible, open-source instrumentation eliminates lock-in. Maximize performance by seeing everything in your application, and act on AI-driven analytics. To deliver a flawless end-user experience, you need to observe everything. With NoSample™ full-fidelity trace ingestion, leverage all your trace data to identify any anomaly. Reduce MTTR with Directed Troubleshooting to quickly understand service dependencies, correlation with underlying infrastructure and root-cause error mapping. Breakdown and explore any transaction by any metric or dimension. Quickly and easily understand how your application behaves for different regions, hosts, versions or users.

Your newer cloud-native apps have an order of magnitude more dependencies, ephemerality, releases, and telemetry. Proprietary monitoring and APM tools were born in the era of monolithic apps and static infrastructure. They are expensive, intrusive, siloed, and generate more noise than they’re worth. Open source and cloud monitoring tools offer an excellent foundation but require highly skilled engineers to integrate, maintain and analyze the data they surface. Your journey to modern infrastructure is stretching the limits of your monitoring framework. It’s time for a fresh approach. It’s time for OpsCruise! Our platform’s deep understanding of Kubernetes, coupled with our unique ML-based behavior profiling empowers your entire team to predict performance degradations and instantly surface their cause. All at a third of the cost of the current monitoring stack and without the need to instrument code, deploy agents, or maintain open-source tools.

Get deep visibility into your cloud-native and distributed applications — from microservices to serverless architectures — and quickly identify and resolve root causes of issues. Seamlessly adopt APM to automatically identify anomalies, map service dependencies, and simplify investigations into outliers and abnormal behavior. Optimize your application code with extensive support for popular languages, OpenTelemetry, and distributed tracing. Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.

Open source continuous profiling. Find and debug your most painful performance issues across code, infrastructure and CI/CD pipelines. Let you tag your data on the dimensions important for your organization. Allows you to store large volumes of high cardinality profiling data cheaply and efficiently. FlameQL enables custom queries to select and aggregate profiles quickly and efficiently for easy analysis. Analyze application performance profiles using our suite of profiling tools. Understand usage of CPU and memory resources at any point in time and identify performance issue before your customer do. Collect, store, and analyze profiles from various external profiling tools in one central location. Link to your OpenTelemetry tracing data and get request-specific or span-specific profiles to enhance other observability data like traces and logs

Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.

Collect, transform, and route all your logs and metrics with one simple tool. Built in Rust, Vector is blistering fast, memory efficient, and designed to handle the most demanding workloads. Vector strives to be the only tool you need to get observability data from A to B, deploying as a daemon, sidecar, or aggregator. Vector supports logs and metrics, making it easy to collect and process all your observability data. Vector doesn’t favor any specific vendor platforms and fosters a fair, open ecosystem with your best interests in mind. Lock-in free and future proof. Vector’s highly configurable transforms give you the full power of programmable runtimes. Handle complex use cases without limitation. Guarantees matter, and Vector is clear on which guarantees it provides, helping you make the appropriate trade-offs for your use case.

Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data

OpenLIT is an OpenTelemetry-native application observability tool. It's designed to make the integration process of observability into AI projects with just a single line of code. Whether you're working with popular LLM libraries such as OpenAI and HuggingFace. OpenLIT's native support makes adding it to your projects feel effortless and intuitive. Analyze LLM and GPU performance, and costs to achieve maximum efficiency and scalability. Streams data to let you visualize your data and make quick decisions and modifications. Ensures that data is processed quickly without affecting the performance of your application. OpenLIT UI helps you explore LLM costs, token consumption, performance indicators, and user interactions in a straightforward interface. Connect to popular observability systems with ease, including Datadog and Grafana Cloud, to export data automatically. OpenLIT ensures your applications are monitored seamlessly.

Our out-of-the-box solution allows you to monitor the health of your cluster and troubleshoot issues faster with pre-built dashboards that just work. And our clear and affordable pricing makes it easy to get started today. ContainIQ deploys three agents that sit inside your cluster: a single replica deployment that collects metrics and events from the Kubernetes API and two additional daemon sets, one that collects latency information for every pod on that node and another that collects logs for all of your pods/containers. Monitor latency by microservice and by path, including p95, p99, average, and RPS. Works instantly without application packages or middleware. Set alerts on significant changes. Search functionality, filter by date range, and view data over time. View all incoming and outgoing requests alongside metadata. Graph P99, P95, average latency, and error rate over time for each URL path. Correlate logs for a specific trace, useful for debugging when problems arise.

We know engineers love open source. So we supercharged the best open source monitoring tools — including ELK, Prometheus, and Jaeger, and unified them on a scalable SaaS platform. Collect and analyze your logs, metrics, and traces on one unified platform for end-to-end monitoring. Visualize your data on easy-to-use and customizable monitoring dashboards. Logz.io’s human-coached AI/ML automatically uncovers errors and exceptions in your logs. Quickly respond to new events with alerting to Slack, PagerDuty, Gmail, and other endpoints. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs and traces. Add just three lines of code to your Prometheus config files to begin forwarding your metrics to Logz.io for storage and analysis. Quickly respond to new events by alerting Slack, PagerDuty, Gmail, and other endpoints. Logz.io’s human-coached AI/ML automatically uncovers errors and exceptions in your logs.

Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/

End-to-end observability platform to help you gain insights, secure assets and troubleshoot transactions for your decentralized applications. Use our type-safe, easy-to-use yet powerful SDK to collect and transform data based on smart contracts' events, transactions, traces, and states. Collected data are versioned for fast and easy iteration. Build low-code, real-time dashboards in seconds with powerful transformation and aggregation functions. Visualize metrics and easily zoom in and out at different timespan. Set up real-time alerts to notify your team via Slack, Telegram, Email and webhook so you can react quickly to critical events. Emit structured logs that are searchable and can be referenced from real-time dashboards. Sentio's mission is to accelerate DApp proliferation by bringing the best and battle-tested developer tools, infrastructure and philosophy to the crypto world. Leave your email to receive updates about our launch and gain early access to our beta release.

Cribl Stream allows you to implement an observability pipeline which helps you parse, restructure, and enrich data in flight - before you pay to analyze it. Get the right data, where you want, in the formats you need. Route data to the best tool for the job - or all the tools for the job - by translating and formatting data into any tooling schema you require. Let different departments choose different analytics environments without having to deploy new agents or forwarders. As much as 50% of log and metric data goes unused – null fields, duplicate data, and fields that offer zero analytical value. With Cribl Stream, you can trim wasted data streams and analyze only what you need. Cribl Stream is the best way to get multiple data formats into the tools you trust for your Security and IT efforts. Use the Cribl Stream universal receiver to collect from any machine data source - and even to schedule batch collection from REST APIs, Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIs

Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems.

When organizations invest in an observability platform that unifies data, insights, and actions across IT, they can resolve problems faster, and eliminate data silos, resource-intensive war rooms, and alert fatigue. Alluvio IQ unified observability enables fast, effective decision-making across business and IT, codifying expert troubleshooting knowledge so junior staff can achieve more first-level resolutions, facilitating digital innovation, and continuously improving the digital experience for customers and employees. Broad-based telemetry brings together a unified view of performance and insights, which is the foundation of unified observability upon which all other capabilities are delivered. Alluvio IQ’s approach to unified observability begins with our full-fidelity telemetry – across the network and infrastructure and including end-user experience metrics.

BMC Helix Operations Management is a fully integrated, cloud-native, observability and AIOps solution designed to tackle challenging hybrid-cloud environments. Take a service-centric approach to observability data for truly effective AIOps. Combine 3rd party observability data such as metrics, events, logs, incidents, changes and topologies into a central IT data store. See service health and enable best-in-class root cause isolation via auto-generated dynamic business service models. Improve signal-to-noise ratio with AI event suppression, de-duplication, and correlation to create actionable situations. Gain immediate root cause isolation through AI probability assignments to causal nodes using data and service models. Prevent issues before they occur with Business Service Health monitoring and AI outage prediction. Troubleshoot rapidly with log enrichment and analytics. Easily request and execute automations from BMC or 3rd party tools.

AI-powered cloud observability platform. Middleware platform helps identify, understand and fix issues across your cloud infrastructure. AI will detect all the issues from infra and application and give better recommendations on fixing them. Monitor metrics, logs, and traces in real-time on the dashboard. The most efficient and faster results with the least resource usage. Bring all the metrics, logs, traces, and events to one single unified timeline. Get complete visibility into your cloud with a full-stack observability platform. Our AI-based predictive algorithms look at your data and give you suggestions on what to fix. You are the owner of your data. Control your data collection and store it on your cloud to reduce cost by 5x to 10x. Connect the dots between when the problem begins and where it ends. Fix problems before your users' report. They get an all-inclusive solution for cloud observability in a single place. And that's too cost-effective.

Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging.

Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks.

Self-hosted software for on-prem and hybrid IT environments, with flexible licensing for distributed teams. SolarWinds Hybrid Cloud Observability is designed to help organizations ensure availability and reduce remediation time across on-premises and hybrid cloud environments by increasing visibility, intelligence, and productivity. Transform disconnected data into focused, actionable insights across complex hybrid environments and reduce the number of tools you need for hybrid IT visibility. Quiet alert noise to pinpoint the source of problems faster with anomaly-based alerting powered by our cloud-based AIOps service enhanced with machine learning. Unlock visibility across on-prem and hybrid environments to preemptively detect and address issues with flexible, agent-based, agentless, and API-sourced metrics. Simplified licensing, enterprise-scale with included polling engines, and the flexibility to allocate nodes across instances with a single license.

AppScope is a new approach to black-box instrumentation delivering ubiquitous, unified telemetry from any Linux executable by simply prepending scope to the command. Talk to any customer using Application Performance Management, and they’ll tell you how much they love their solution, but they wish they could extend it to more of their applications. Most have 10% or fewer of their apps instrumented for APM, and are supplementing what they can with basic metrics. Where does this leave the other 80%? Enter AppScope. No language-specific instrumentation. No application developers required. AppScope is language agnostic and completely userland; works with any application; scales from the CLI to production. Send AppScope data to any existing monitoring tool, time series database, or log tool. AppScope allows SREs and Ops teams to interrogate running applications to discover how they work and their behavior in any deployment context, from on-prem to cloud to containers.

Performance visibility can be difficult with today’s complex IT environments and applications, which often span traditional data center, SaaS, and IaaS cloud environments. When companies take a traditional, siloed approach to management, they often have a fragmented, incomplete view of performance. As a result, IT spends a lot of time analyzing data but arrives at different and often conflicting conclusions on the cause of performance problems. Alluvio Portal integrates performance telemetry to create a centralized, dynamic view of performance. This holistic view gives IT Ops teams a single source of truth for accelerating troubleshooting and providing meaningful data for stakeholders throughout the enterprise. Ultimately, IT is able to efficiently control and optimize applications, data, and traffic across the entire hybrid network, keeping key resources focused on strategic projects.

The only Data Observability platform that provides complete control of enterprise data systems. Provides comprehensive, cross-sectional visibility into complex, interconnected data systems. Synthesizes signals across workloads, data quality, infrastructure and security. Improves data processing and operational efficiency. Automates end-to-end data quality monitoring for fast-changing, mutable datasets. Acceldata provides a single pane of glass to help predict, identify, and fix data issues. Fix complete data issues in real-time. Observe business data flow from a single pane of glass. Uncover anomalies across interconnected data pipelines.

Get notified of issues and investigate to any level of detail. Always see relevant event data from logs, metrics or traces in context. See at a glance, your top issues and the overall health of the system. It looks like your father’s dashboard, but it’s not. Filter, pivot and narrow time ranges to zero-in on root cause. And the best bit? Observe automatically creates Landing Pages giving you all the information for none of the effort. Observe structures and relates the data you ingest so it’s easy to navigate. Universe Maps allow you to see how everything is related — they lay out the Observable Universe that is available to explore. Universe Maps are intuitive and easy to understand. You can drill from deployments to pods to containers and even to the AWS EC2 instances they are running on.

Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors, and improve overall application reliability. Jaeger is 100% open source, cloud-native, and infinitely scalable.

CtrlStack manages a wide variety of operational activities and sources of changes to reduce risks, track change impact, and find root causes of production issues fast. Relationship mapping in observability is finding meaningful connections and interactions between the data – metrics, events, logs, and traces. We use a native graph database to represent this “data between the data” at speed and scale. Get an end-to-end visibility of all changes across commits, configuration files, and feature flags in one click. Capture all the context of an incident at the moment it occurs, and at any time during diagnosis and resolution, to avoid reverting each other’s changes. Get insights into what, when, and who made the change, and how it impacts operations. Collaborate across teams with shared data knowledge through a DevOps graph.

VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.

IBM® Instana® is the gold standard of incident prevention with automated full-stack visibility, 1-second granularity and 3 seconds to notify. With today’s highly dynamic and complex cloud environments, the average cost of an hour of downtime can reach six figures and beyond1. Traditional application performance monitoring (APM) tools simply aren’t fast enough to keep up or thorough enough to contextualize the issues identified. Also, they are typically limited to super users who must complete months of training to learn. IBM Instana Observability goes beyond traditional APM solutions by democratizing observability so anyone across DevOps, SRE, platform engineering, ITOps and development can get the data they want with the context they need. Instana automatically delivers continuous high-fidelity data at 1-second granularity and end-to-end traces with the context of logical and physical dependencies across mobile, web, applications and infrastructure.

Linkerd adds critical security, observability, and reliability features to your Kubernetes stack—no code change required. Linkerd is 100% Apache-licensed, with an incredibly fast-growing, active, and friendly community. Built in Rust, Linkerd's data plane proxies are incredibly small (<10 mb) and blazing fast (p99 < 1ms). No complex APIs or configuration. For most applications, Linkerd will “just work” out of the box. Linkerd's control plane installs into a single namespace, and services can be safely added to the mesh, one at a time. Get a comprehensive suite of diagnostic tools, including automatic service dependency maps and live traffic samples. Best-in-class observability allows you to monitor golden metrics—success rate, request volume, and latency—for every service.

Glasnostic inserts agentlessly into the network data path, observes interaction patterns between services, detects anomalies, and responds with effective and predictable control primitives, in real-time and automatically. Visibility is worth little if disconnected from the action. With Glasnostic, engineers can respond to system behaviors in real-time and proactively. Glasnostic inserts transparent controllers into the network data plane, which collectively act as a brain-in-the-wire that detects and responds to behaviors in real-time. Interaction metrics are sent to the control plane for storage, anomaly detection, and automated or manual control. Glasnostic works with all major cloud technologies and integrates with existing tools from AIOps to workflow and security tools via APIs and webhooks. Glasnostic works with all major technology stacks. View system behaviors holistically, uniformly, and everywhere.

In distributed and dynamic environments, everything is interconnected. Yet IT teams still rely on siloed tools to manage performance. They wrestle with too much data, limited or sampled data, and thousands of alerts that provide little context or actionable insights. Troubleshooting requires war rooms and highly skilled IT staff to manually investigate issues across domains. There needs to be a better way. Riverbed is on a path to delivering an observability solution that unifies data, insights, and actions for all IT. With unified observability, IT can eliminate data silos, war rooms, and alert fatigue. They can enable more effective decision-making across domains, apply expert knowledge more broadly, and continuously improve the digital experience and business performance. Alluvio is a SaaS-based, open, and programmable solution that captures full-fidelity user experience, application, and network performance data on every transaction across the digital enterprise.

The only real-time, analytics-driven multicloud monitoring solution for all environments (formerly SignalFx). Monitor any environment on a massively scalable streaming architecture. Open, flexible data collection and rapid visualizations of services in seconds. Purpose built for ephemeral and dynamic cloud-native environments at any scale (e.g., Kubernetes, container, serverless). Detect, visualize and resolve issues as soon as they arise. Monitor infrastructure performance in real-time at cloud scale through predictive streaming analytics. Over 200 pre-built integrations for cloud services and out-of-the-box dashboards for rapid visualization of your entire stack. Autodiscover, breakdown, group, and explore clouds, services and systems. Quickly and easily understand how your infrastructure behaves across different services, availability zones, Kubernetes clusters and more.

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.

BindPlane is the only IT operations data management platform that can deliver a relationship-aware stream of metrics and logs in real time. The best way to ensure your performance monitoring platform has the most accurate data, across your entire stack, always. See everything in your stack, all in your one place. More than 150 high-fidelity technology integrations for apps, infrastructure and cloud resources—instantly connectable to your favorite monitoring tool. Find the root cause of performance issues up to 33% faster using dimensional data to understand the inter and intra relationships between different layers of your IT stack. Drive immediate insight with our best-practice-based KPIs and data visualizations. Share full-stack dashboards and standardize deployment automation using rich APIs. Improve analytics accuracy over traditional plugins with access to a continually updated library of the most popular enterprise technologies.

Track costs, usage, and latency for GPT applications with one line of code. Trusted by leading companies building with OpenAI. We will support Anthropic, Cohere, Google AI, and more coming soon. Stay on top of your costs, usage, and latency. Integrate models like GPT-4 with Helicone to track API requests and visualize results. Get an overview of your application with an in-built dashboard, tailor made for generative AI applications. View all of your requests in one place. Filter by time, users, and custom properties. Track spending on each model, user, or conversation. Use this data to optimize your API usage and reduce costs. Cache requests to save on latency and money, proactively track errors in your application, handle rate limits and reliability concerns with Helicone.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge.