Fluent Bit 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.

Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.

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.

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.

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.

Netreo is the most comprehensive full stack IT infrastructure management and observability platform. We provide a single source of truth for proactive performance and availability monitoring for large enterprise networks, infrastructure, applications and business services. Our solution is used by: - IT Executives to have full visibility from the business service right down into the infrastructure and network that supports it. - IT Engineering departments as a decision support system for capacity planning, and architecting modern solutions. - IT Operations teams for real time visibility into what is failing in their environment, what bottlenecks exist and who it is affecting. We provide all of these insights for systems and vendor mixes in large heterogeneous and constantly evolving environments. We have an extensive and growing list of supported vendors (over 350 integrations) including network vendors, servers, storage, virtualization, cloud platforms and others.

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.

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.

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.

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.

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.

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.

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

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.

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.

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

The Observer Platform is a comprehensive network performance monitoring and diagnostics (NPMD) solution ideal for maintaining peak performance of all IT services. Designed as an integrated offering, the Observer Platform provides visibility into critical KPIs through pre-defined workflows from high-level dashboards to service anomaly root cause. Ideally suited to satisfying business goals and overcoming challenges across the entire IT enterprise life cycle whether deploying new technologies, managing current resources, solving service anomalies, or optimizing IT asset usage. The Observer Management Server (OMS) UI is a cyber security tool that features simple navigation to easily authenticate security threats, control user access and password data, administer web application upgrades, and streamline management tools from a single, centralized location.

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.

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.

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.

Middleware Observability & Management Software for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH). - Complete observability and monitoring of Integration MESH with 360° Situational Awareness® - Securely manage, and automate configuration, administration, and deployment - Track, trace, and analyze transactions, messages and flows - Collect, monitor, and benchmark MESH performance meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages. Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis. Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict. Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML.

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.

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/

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.

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.

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.

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.

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

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.

Cilium is open-source software for providing, securing and observing network connectivity between container workloads, cloud native, and fueled by the revolutionary Kernel technology eBPF. Kubernetes doesn't come with an implementation of Load Balancing. This is usually left as an exercise for your cloud provider or in private cloud environments an exercise for your networking team. Cilium can attract this traffic with BGP and accelerate leveraging XDP and eBPF. Together these technologies provide a very robust and secure implementation of load balancing. Cilium and eBPF operate at the kernel layer. With this level of context, we can make intelligent decisions about how to connect different workloads whether on the same node or between clusters. With eBPF and XDP Cilium enables significant improvements in latency and performance and eliminates the need for Kube-proxy entirely.

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.

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.

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.

LOGIQ.AI’s LogFlow provides centralized control of your observability data pipelines. As data streams arrive, they are automatically organized and optimized for your business teams and knowledge workers. XOps teams can centralize data flow management, gain data EPS control, and increase data quality and relevance. Built on any object store, LogFlow’s InstaStore enables infinite data retention and on-demand data replay to any target observability platform of your choice. Analyze operational metrics across applications and infrastructure and gain actionable insights that help you scale with confidence while maintaining high availability. Fuel business decisions and better user experiences by collecting, transforming, and analyzing behavioral data and usage patterns from business systems. Don’t let new attack techniques catch you off guard. Detect and analyze threat patterns from multiple sources and automate threat prevention and remediation.

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.

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.

Application performance monitor tool for distributed systems, specially designed for microservices, cloud-native and container-based (Kubernetes) architectures. 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster. Support log formatting, extract metrics, and various sampling policies through script pipeline in high performance. Support service-centric, deployment-centric, and API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party. Metrics, traces, and logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd.

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.

Chaos Genius is a DataOps Observability platform for Snowflake. Enable Snowflake Observability to reduce Snowflake costs and optimize query performance.

StackState's Topology and Relationship-Based Observability platform lets you manage your dynamic IT environment more effectively by unifying performance data from your existing monitoring tools into a single topology. Enabling you to: 1. 80% Decreased MTTR: by identifying the root cause and alerting the right teams with the correct information. 2. 65% Fewer Outages: through real-time unified observability and more planful planning. 3. 3x Faster Releases: by giving time back to developers to increase implementations. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo

HCL iObserve is a part of Intelligent Full Stack Observability offering under HCLSoftware Intelligent Operations ecosystem. 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.

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.

Enterprise observability for all your teams at scale. Most traditional tools detect simple threshold-based anomalies, making it difficult to distinguish false alarms from real issues. With VMware Tanzu Observability by Wavefront, you create smart alerts that dynamically filter noise and capture true anomalies. Troubleshooting distributed cloud applications is not trivial due to many moving parts, application dependencies, and frequent code updates. Wavefront collects all metrics in one place from your applications, clouds, and infrastructure. Finding a needle in the haystack is not easy when dealing with distributed cloud applications and containerized microservices emitting thousands of metrics. AI Genie™ helps you automatically identify “unknown unknowns” so you can quickly get to root incident root cause – isolate applications, infrastructure, cloud, and edge.

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.

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.