Langtrace 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.

Cloud-based observability solution that helps businesses track and manage workload and performance on a unified dashboard. Monitor everything you run in your cloud without compromising on cost, granularity, or scale. groundcover is a full stack cloud-native APM platform designed to make observability effortless so that you can focus on building world-class products. By leveraging our proprietary sensor, groundcover unlocks unprecedented granularity on all your applications, eliminating the need for costly code changes and development cycles to ensure monitoring continuity. 100% visibility, all the time. Cover your entire Kubernetes stack instantly, with no code changes using the superpowers of eBPF instrumentation. Take control of your data, all in-cloud. groundcover’s unique inCloud architecture keeps your data private, secured and under your control without ever leaving your cloud premises.

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.

NetBrain, founded in 2004, provides a powerful no-code automation platform for hybrid network observability, allowing organizations to enhance their operational efficiency through automated workflows. The platform applies automation across three key workflows: troubleshooting, change management, and assessment. Get network-wide and contextualized analysis across your multi-vendor, multi-cloud network Visualize and document the entire hybrid network using dynamic network maps and end-to-end paths Automate network discovery and ensure data accuracy for a single source of truth Auto-discover and decode your network's golden configurations, discover day 1 issues, and automate configuration drift prevention Automate pre- and post-validations for network changes with application performance context understanding Automate collaborative troubleshooting from human to machine For every network troubleshooting idea, create a map, apply automation from your own library

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.

Splunk Observability Cloud is a comprehensive, real-time monitoring and observability platform designed to help organizations gain full visibility into their cloud-native environments, infrastructure, applications, and services. It combines metrics, logs, and traces into a unified solution, providing seamless end-to-end visibility across complex architectures. With its powerful analytics, AI-driven insights, and customizable dashboards, Splunk Observability Cloud helps teams quickly identify and resolve performance issues, reduce downtime, and improve system reliability. It supports a wide range of integrations and provides real-time, high-resolution data for proactive monitoring. This enables IT and DevOps teams to detect anomalies, optimize performance, and ensure the health and efficiency of their cloud and hybrid environments.

Coralogix is the leading stateful streaming platform providing modern engineering teams with real-time insights and long-term trend analysis with no reliance on storage or indexing. Ingest data from any source for a centralized platform to manage, monitor, and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Machine learning algorithms continuously observe data patterns and flows between system components and trigger dynamic alerts so you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations. Connect any data, in any format, and view your insights anywhere including our purpose-built UI, Kibana, Grafana, SQL clients, Tableau, or using our CLI and full API support. Coralogix has successfully completed relevant security and privacy compliances by BDO including GDPR, SOC 2, PCI, HIPAA, and ISO 27001/27701.

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.

ServiceNow Cloud Observability is a solution that provides real-time monitoring and visibility into cloud infrastructure, applications, and services. It enables organizations to proactively identify and resolve performance issues by integrating data from various cloud environments into a unified dashboard. With advanced analytics and alerting capabilities, ServiceNow Cloud Observability helps IT and DevOps teams detect anomalies, troubleshoot problems, and ensure optimal system performance. The platform also supports automation and AI-driven insights, allowing teams to respond quickly to incidents and prevent potential disruptions. Overall, it improves operational efficiency and ensures a seamless user experience across cloud environments.

Built on the open-source framework OpenTelemetry, TelemetryHub is the ultimate application monitoring tool with correlated logs and metrics. TelemetryHub provides a single pane of glass for all logs, metrics, and tracing data. A Simple, out-of-the-box observability tool that visualizes all your system telemetry data in a consumable format with no proprietary agent that results in vendor lock-in.

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.

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.

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.

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.

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.

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

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

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.

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.

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.

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.

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.

Reimagined observability for context and performance in one place, across all stacks and any scale. Gain comprehensive end-to-end visibility by monitoring applications, infrastructure, databases, and more seamlessly on a single, intuitive dashboard. Effortlessly trace and analyze digital journeys in just a few clicks, right from the browser and applications to infrastructure. Uncover valuable insights into user journeys, understand dropouts, and pinpoint critical points in business transactions through deep user analytics and real user monitoring (RUM). Quickly adapt, optimize and innovate with real-time visibility and rapid root-cause analysis. Access our team of experts round-the-clock, 365 days a year to ensure you receive timely assistance and personalized support to address your specific needs.

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.

Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues.

Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.

Connect, secure, monitor and manage (CSM2) your distributed enterprise edge with centralized observability and analytics. Discover and remediate issues faster to ensure greater uptime, performance and security. Open microservices architecture gives you everything you need to manage your distributed enterprise edge.

Designed for any developer or SRE, Akita delivers observability without the complexity. No code changes. No frameworks. Just deploy, observe, and learn. Solve issues quicker and ship faster. Akita helps you identify the cause of issues by modeling API behavior and mapping out how services are interacting with each other. Akita builds models of your API endpoints and their behavior, allowing you to discover breaking changes faster. Akita helps you debug latency issues and errors by showing you what has changed within your service graph. See what services you have in your system, without having to onboard service-by-service. Akita works by passively watching API traffic, making it possible to run Akita easily across your services, without changing code or using a proxy.

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.

VictoriaMetrics Enterprise is a commercial solution designed by the creators of VictoriaMetrics for complex monitoring and observability setups. It's ideal for organizations with mission-critical, large, or rapidly scaling monitoring environments. The Enterprise version includes all the features of the community edition plus additional enhancements such as Downsampling Automated Backups / Backup Manager Data Retention per Label/Tenant Multi-Tenant Statistic & Rate Limiting Anomaly Detection. It offers stable releases with long-term support, ensuring critical bug fixes and security patches. Enterprise security compliance and prioritized feature requests are also part of the package. We help you to reduce storage costs and boost performance for historical data queries. Multiple retentions allow different storage durations for various datasets. Automatic discovery of storage nodes updates the list at insert and vmselect without restarting services.

Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected.

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.

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.

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.

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.

HCL iObserve is a part of Intelligent Full Stack Observability offering under HCLSoftware AI & Intelligent Operations framework. It is a comprehensive, integrated, & full-stack observability solution designed to monitor & observe the complex IT ecosystem across hybrid cloud & help customers accelerate digital transformation. The solution is designed for organizations of all sizes & industries. It includes built-in intelligence to help customers optimize performance, ensure availability, & reduce remediation time across on-premises & multi-cloud environments.

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.

Squash latencies, detect bottlenecks, and debug errors. Join a rapidly expanding community of businesses from around the world, that are achieving 20X value and ROI by adopting KloudMate, compared to any other observability platform. Quickly monitor crucial metrics, and dependencies, and detect anomalies through alarms and issue tracking. Instantly locate ‘break-points’ in your application development lifecycle, to proactively fix issues. View service maps for every component in your application, and uncover intricate interconnections and dependencies. Trace every request and operation, providing detailed visibility into execution paths and performance metrics. Whether it's multi-cloud, hybrid, or private architecture, access unified Infrastructure monitoring capabilities to monitor metrics and gather insights. Supercharge debugging speed and precision with a complete system view. Identify and resolve issues faster.

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.

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.

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.

InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.

Pay-as-you-go security and observability SaaS platform for containers, Kubernetes, and cloud. Get a live view of dependencies and how all the services are communicating with each other in a multi-cluster, hybrid and multi-cloud environment. Eliminate setup and onboarding steps and troubleshoot your Kubernetes security and observability issues within minutes. Calico Cloud is a next-generation security and observability SaaS platform for containers, Kubernetes, and cloud. It enables organizations of all sizes to protect their cloud workloads and containers, detect threats, achieve continuous compliance, and troubleshoot service issues in real-time across multi-cluster, multi-cloud, and hybrid deployments. Calico Cloud is built on Calico Open Source, the most widely adopted container networking and security solution. Instead of managing a platform for container and Kubernetes security and observability, teams consume it as a managed service for faster analysis, relevant actions, etc.

Sumo Logic offers a cloud solution for log management and metrics monitoring for IT and security teams of organizations of all sizes. Faster troubleshooting with integrated logs, metrics and traces. One platform. Many use cases. Increase your troubleshooting effectiveness. Sumo Logic helps you reduce downtime and move from reactive to proactive monitoring with cloud-based modern analytics powered by machine learning. Quickly detect Indicators of Compromise (IoCs), accelerate investigation, and ensure compliance using Sumo Logic Security Analytics. Enable data-driven business decisions and predict and analyze customer behavior using Sumo Logic’s real-time analytics platform. The Sumo Logic platform helps you make data-driven decisions and reduce the time to investigate security and operational issues so you can free up resources for more important activities.

Self-hosted software for on-prem and hybrid IT environments, with flexible licensing for distributed teams. SolarWinds 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.

Isovalent Cilium Enterprise enables cloud-native networking, security, and observability. Your cloud-native infrastructure, powered by eBPF. Connect, secure, and observe cloud-native applications in multi-cluster, multi-cloud environments. A highly scalable CNI and a multi-cluster networking solution that offers high-performance load balancing, advanced network policy management, etc. Shifting security to a process behavior instead of packet header enabling. Open source is at the core of Isovalent. We think, innovate, and breathe open source and are fully committed to the principles and values of open source communities. Request a personalized live demo with an Isovalent Cilium Enterprise expert. Engage with the Isovalent sales team to assess an enterprise-grade deployment of Cilium. Step through our interactive labs in a sandbox environment. Advanced application monitoring. Runtime security, transparent encryption, compliance monitoring, and CI/CD & GitOps integration.

Grafana Phlare lets you aggregate continuous profiling data with high availability, multi-tenancy, and durable storage. This helps you get a better understanding of resource usage in your applications down to the line number. Grafana Phlare is an open source database that provides fast, scalable, highly available, and efficient storage and querying of profiling data. The idea behind Phlare was sparked during a company-wide hackathon at Grafana Labs. The project was announced in 2022 at ObservabilityCON. The mission for the project is to enable continuous profiling at scale for the open source community, giving developers a better understanding of resource usage of their code. By doing so, it allows users to understand their application performance and optimize their infrastructure spend.

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.

DX Unified Infrastructure Management is the only solution that provides an open architecture, full-stack observability, and zero-touch configuration for monitoring traditional data center, public cloud, and hybrid infrastructure environments. Designed to ensure an optimal end-user experience, this solution provides a modern HTML5 operations console that makes it easy and fast for today’s IT teams to implement, use, and scale, leading to faster time to value. DX Unified Infrastructure Management provides actionable insights for cloud environments, such as AWS and Azure, and the modern architectures associated with cloud services, such as Nutanix, Hadoop, Mongo, Apache, etc. It combines deep domain knowledge across hybrid cloud infrastructure elements to help drive digital transformation, automation, and innovation. Automatically discover devices based on properties, then automatically set policies for each device type and deploy configurations and alarm policies as needed.