Alternatives to OpenLIT

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Site24x7 provides unified cloud monitoring to support IT operations and DevOps within small and large organizations. The solution monitors real users' experiences on websites and apps from both desktop and mobile devices. DevOps teams can monitor and troubleshoot applications and servers, as well as network infrastructure, including private clouds and public clouds, with in-depth monitoring capabilities. Monitoring the end-user experience is done from more 100 locations around the globe and via various wireless carriers.

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

We help you solve your most pressing business problems with simple, flexible and scalable packages that will make your digital transformation a reality. Get started today with our top business observability platform. AppDynamics or Cisco business lenses provide full-stack visibility. Prioritize the most important things for your business and your employees so that you can share, see and take action in real-time. With a deeper understanding and appreciation of user behavior and applications, you can turn performance into profit. You can quickly fix issues before they affect your bottom line by integrating full stack performance with key business metrics, such as conversions.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. 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. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts 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.

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

Splunk Observability Cloud provides a comprehensive real-time monitoring platform that helps organizations gain visibility into their cloud native environments, infrastructures, applications, and service. It combines metrics with logs and traces to create a unified platform that provides seamless visibility from end-to-end across complex architectures. Splunk Observability helps teams identify and resolve performance problems, reduce downtime and improve system reliability with its powerful analytics and AI-driven insights. It provides real-time data in high resolution and supports a variety of integrations. This allows IT and DevOps to detect anomalies, optimize the performance, and ensure that their cloud and hybrid environment is healthy and efficient.

ServiceNow Cloud Observability provides real-time visibility and monitoring of cloud infrastructure, applications and services. It allows organizations to identify and resolve performance problems by integrating data from different cloud environments into a single dashboard. ServiceNow Cloud Observability's advanced analytics and alerting features help IT and DevOps departments detect anomalies, troubleshoot issues, and ensure optimal performance. The platform supports AI-driven insights and automation, allowing teams the ability to respond quickly to incidents. Overall, the platform improves operational efficiency while ensuring a seamless user-experience across cloud environments.

Amazon CloudWatch is a monitoring service that provides observability and data for developers, DevOps engineers, site reliability engineers (SREs), IT managers, and other users. CloudWatch gives you data and actionable insights that will help you monitor your applications, respond quickly to system-wide performance changes and optimize resource utilization. It also provides a unified view on operational health. CloudWatch gathers operational and monitoring data in the form logs, metrics and events. This gives you a single view of AWS resources, applications and services that are hosted on AWS and on-premises. CloudWatch can be used to detect anomalous behavior, set alarms, visualize logs side-by, take automated actions, troubleshoot problems, and uncover insights to help you keep your applications running smoothly.

ObservIQ provides telemetry solutions that are highly efficient and easy to use to power world-class observation. We are experts in building observability data pipelines that can be used by global IT leaders. You will have the highest quality, high-fidelity telemetry data available at scale thanks to our uncompromising performance and ease of usage. Open-source telemetry is key to innovation and ecosystem expansion. Open source observability allows end users and partners to have greater control, choice, interoperability, and control over their data. ObservIQ is a key contributor to the rapidly growing OpenTelemetry project. OpenTelemetry has become easier and more efficient thanks to our contributions of logging, metric receivers and the BindPlaneOP observation pipeline. We are a major contributor to the community and work together to create a vibrant, growing ecosystem.

Azure Monitor maximizes availability and performance of your services and applications by providing a comprehensive solution to collect, analyze, and act on telemetry from both cloud and on-premises environments. It allows you to understand the performance of your applications and helps you identify issues that could affect them and the resources that they rely on.

Pydantic Logfire, an observability platform, simplifies monitoring of Python applications by transforming logs to actionable insights. It provides visibility, tracing and performance insights into application behavior including request headers, bodies, and the complete trace of execution. Pydantic Logfire is built on OpenTelemetry and integrates with popular libraries. This makes it easier to use, while still retaining the flexibility that OpenTelemetry offers. Developers can use structured data and Python objects that are query-ready to instrument their apps and gain real-time insight through dashboards, alerts, and visualizations. Logfire provides a modern interface for logging that supports manual tracing and context logging. It is designed for developers who are looking for a streamlined observability tool that offers out-of-the box integrations and ease-of-use.

Grafana Phlare aggregates continuous profiling data while providing high availability, multitenancy and durable storage. This allows you to understand resource usage down to the line numbers in your applications. Grafana Phlare, an open-source database, provides a fast, scalable and highly available storage and querying system for profiling data. Phlare's idea was born during a hackathon held by Grafana Labs. The project was announced at ObservabilityCON in 2022. The project's mission is to enable continuous profiler at scale for the Open Source community, giving developers an understanding of resource usage in their code. It allows users to optimize their infrastructure and understand their application performance.

Telemetry that is portable, ubiquitous, and high-quality to allow effective observation. OpenTelemetry is an open-source collection of APIs and SDKs. It can be used to instrument, generate logs, logs, or traces telemetry data to analyze the performance and behavior of your software. OpenTelemetry can be used in many languages. You can create and collect telemetry data using your software and services, and then forward them to various analysis tools. OpenTelemetry can be integrated with popular frameworks and libraries like ASP.NET Core Express, Quarkus, Spring, and ASP.NET Core. Integration is as easy as writing a few lines. OpenTelemetry is 100% free and open source. It is supported by industry leaders in observability.

Langtrace is a free observability tool which collects and analyses metrics and traces to help you improve LLM apps. Langtrace provides the highest level security. Our cloud platform is SOC 2 Type II-certified, ensuring the highest level of protection for your data. Supports popular LLMs and frameworks. Langtrace is self-hosted, and it supports OpenTelemetry traces that can be ingested into any observability tools of your choice. This means there is no vendor lock-in. With traces and logs that span the framework, vectorDB and LLM requests, you can gain visibility and insights in your entire ML pipeline. Use golden datasets to create and annotate traced LLM interactions and continuously test and improve your AI applications. Langtrace has built-in heuristics, statistical and model-based analyses to support this process.

Prefix with OpenTelemetry is a great way to optimize app performance. OTel Prefix, the latest open-source observability standard, streamlines application development by allowing for universal telemetry data input, unmatched observability and extended language support. OTel Prefix gives developers the power of OpenTelemetry, supercharging the performance optimization of your entire DevOps Team. OTel Prefix's unmatched observability in new technologies, frameworks and architectures simplifies code development, app creation and ongoing performance optimization of your apps for you and your team. Summary Dashboards are available, as well as distributed tracing and smart suggestions. Prefix also offers developers the ability to jump between logs and traces.

Get a deep understanding of your cloud-native applications, from microservices architectures to serverless architectures, and quickly identify the root causes of problems. APM can be used to identify anomalies, map dependencies and simplify investigations of outliers. Optimize your code with support for popular programming languages, OpenTelemetry and distributed tracing. Identify performance issues using an automated and curated visual representation that includes all dependencies including cloud, messaging and data stores, as well as third-party services, and their performance data. Drill down into anomalies, transactional details, and metrics to perform a deeper analysis.

Platforms that provide distributed tracing and observability, such as Jaeger are essential for software applications today, which are designed as microservices. Jaeger tracks the flow of data and requests as they travel through a distributed system. These requests can call multiple services which can introduce delays or errors. Jaeger connects these disparate components to identify performance bottlenecks and errors, as well as improve application reliability. Jaeger is cloud-native and infinitely scalable. It's 100% open source.

Fluent Bit is able to read local files, network devices and scrape metrics from your server in Prometheus format. All events are automatically tagged in order to determine filtering rules, routing rules, parsing rules, modification and output. The built-in reliability ensures that if there is a network or a server outage, you can resume where you left off. Fluent Bit does not replace your existing logging system, but rather enhances it by optimizing metrics and traces, and adapting the logging layer. Fluent Bit also supports a vendor neutral approach, seamlessly integrating other ecosystems like Prometheus or OpenTelemetry. Fluent Bit is trusted by major cloud providers, companies, and banks that need a ready-to use telemetry agent. It manages data formats and sources while maintaining optimal performance.

Open source continuous profiling. Find and debug the most painful performance issues in code, infrastructure, and CI/CD pipelines. You can tag your data according to the dimensions that are important to your organization. You can store large volumes of high-cardinality profiling information efficiently and cheaply. FlameQL allows you to create custom queries that select and aggregate profiles quickly for easy analysis. Our suite of profiling software allows you to analyze application performance profiles. Understand CPU and memory resource usage at any time to identify performance issues before your customers do. Store, analyze, and collect profiles from external profiling tools. Link to your OpenTelemetry trace data and get request specific or span specific profiles to enhance other observability information like traces and logs

SaaS-delivered, observability that extends visibility across cloud native, on-prem and hybrid technology stacks. SolarWinds Observability provides unified and comprehensive visibility of cloud-native, hybrid, custom and commercial applications, as well as on-premises and hybrid custom and business applications, to help ensure optimal service level and user satisfaction. For commercial and internally written applications. Unified code-level problem-solving with transaction tracing and code profiling, combined with end-user experience insights from synthetic and real-user monitoring. Deep database performance monitoring. Full visibility of open-source databases such as MySQL®, PostgreSQL®, MongoDB®, Azure SQL®, Amazon Aurora®, Redis®, and Azure SQL® can increase system performance and team efficiency while reducing infrastructure costs.

Built on the open-source framework OpenTelemetry, TelemetryHub is the ultimate observability guide, providing data in a single pane of glass for all logs, metrics, and tracing data. A simple, reliable full-stack application monitoring tool that visualizes your complex telemetry data in a consumable format with no propriety configuration or customizations required. TelemetryHub is an easy-to-use and affordable full-stack observability solution provided by Scout APM, an established Application Performance Monitoring tool.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

SigNoz can be used as an open-source alternative to Datadog or New Relic. A single tool that can handle all your observability requirements, including APM, logs and metrics, exceptions and alerts, dashboards, and dashboards. You don't have to manage multiple tools. You can use the powerful query builder and great charts that come with the software to dig deeper into data. By using an open-source standard, you are not locked into a vendor. OpenTelemetry's auto-instrumentation libraries can help you get started quickly and with minimal code changes. OpenTelemetry provides a single-stop solution to all your telemetry requirements. A single standard for telemetry signals increases developer productivity and consistency within teams. Write queries for all telemetry signals. Apply filters and formulas and run aggregates to gain deeper insights. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregates are lightning fast.

The cloud-native apps you use today have an order of magnitude higher number of dependencies, ephemerality and releases. APM and proprietary monitoring were created in the era monolithic apps and static infrastructure. They are costly, intrusive, siloed and generate more noise than their value. Although open source and cloud-based monitoring tools provide a solid foundation, they require highly skilled engineers to integrate and maintain the data. Your journey to modern infrastructure is pushing the boundaries of your monitoring framework. It's time to try a new approach. OpsCruise is here! OpsCruise's deep knowledge of Kubernetes combined with our unique ML-based behavior profiling allows your entire team to instantly spot performance degradations and predict their cause. It's a third the cost of current monitoring and you don't have to instrument code, deploy agents or maintain open-source software.

Kubernetes-native security, observability. Security and observability code for cloud-native apps. Cloud-native security code for hosts, Kubernetes containers, Kubernetes components and workloads. This code secures north-south traffic and enables enterprise security controls. It also ensures continuous compliance. Kubernetes native observability is code that collects real-time Telemetry. This data is enriched with Kubernetes context for a topographical view of the interactions between components, from hosts to services. Rapid troubleshooting using machine-learning powered anomaly detection and performance hotspot identification. One framework to centrally secure, monitor, troubleshoot, and manage multi-cloud, multi-cloud, hybrid-cloud and hybrid-cloud environments that run Linux or Window containers. To enforce security and compliance, or to resolve issues, update and deploy policies in seconds.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

Isovalent Cilium Enterprise allows cloud-native networking, security and observability. eBPF powers your cloud-native infrastructure. Secure, connect, and monitor cloud-native applications in multicluster, multicloud environments. CNI is a highly scalable networking solution that provides high-performance load balancing and advanced network policy management. Security is now a process behavior and not packet header enabling. Isovalent is based on open source. We live, breathe, and think open source. We are committed to the principles, values, and innovation of open source communities. Request a live demo with an Isovalent Cilium Enterprise specialist. Get in touch with the Isovalent sales team for a Cilium deployment that is enterprise-grade. Explore our interactive labs in an environment that simulates a sandbox. Advanced application monitoring. Transparent encryption, runtime security, compliance monitoring, and CI/CD & GitOps Integration.

The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.

Cilium is an open-source software that provides, secures and monitors network connectivity between container workloads. It is powered by the revolutionary Kernel technology eBPF. Kubernetes does not include Load Balancing. This is typically left to your cloud provider, or in private cloud environments, an exercise for you and your networking team. Cilium can draw this traffic using BGP and accelerate leveraging XDP or eBPF. These technologies combine to provide load balancing that is robust and secure. Cilium and eBPF work at the kernel layer. This level of context allows us to make intelligent decisions about how to connect different workloads, whether they are on the same node or between clusters. eBPF and XDP Cilium enable significant improvements in performance and latency, and eliminate the need for Kube proxy entirely.

With a single AI-powered platform, you can control costs, optimize performance, monitor and drive uptime across your infrastructure in public and private clouds. Enterprises face the most difficult challenges when attempting to leverage public cloud services. How to know which workloads to migrate, how to avoid unexpected costs and performance degradation after workloads have been moved to the cloud. The Virtana unified observability system allows you to migrate and optimize across hybrid, private, and public cloud environments. This modular hybrid-cloud infrastructure optimization platform gathers high-fidelity data and then applies AIOps technologies including machine learning and advanced analytics to provide intelligent observation of single workloads to make better decisions regarding what to move and where, while still meeting performance requirements.

Monitor your data health, and monitor your pipeline performance. Get unified visibility for all pipelines that use cloud-native tools such as Apache Spark, Snowflake and BigQuery. A platform for Data Engineers that provides observability. Data engineering is becoming more complex as business stakeholders demand it. Databand can help you catch-up. More pipelines, more complexity. Data engineers are working with more complex infrastructure and pushing for faster release speeds. It is more difficult to understand why a process failed, why it is running late, and how changes impact the quality of data outputs. Data consumers are frustrated by inconsistent results, model performance, delays in data delivery, and other issues. A lack of transparency and trust in data delivery can lead to confusion about the exact source of the data. Pipeline logs, data quality metrics, and errors are all captured and stored in separate, isolated systems.

Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data

Observability allows you to detect data issues and ML problems faster, to deliver continuous improvements and to avoid costly incidents. Start with reliable data. Monitor data in motion for quality issues. Pinpoint data and models drift. Identify the training-serving skew, and proactively retrain. Monitor key performance metrics continuously to detect model accuracy degradation. Identify and prevent data leakage in generative AI applications. Protect your generative AI apps from malicious actions. Improve AI applications by using user feedback, monitoring and cross-team collaboration. Integrate in just minutes with agents that analyze raw data, without moving or replicating it. This ensures privacy and security. Use the proprietary privacy-preserving technology to integrate the WhyLabs SaaS Platform with any use case. Security approved by healthcare and banks.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

Troubleshoot performance issues and errors in your microservices. Correlate root cause across traces, metrics, and logs. Aspecto's built-in remote sampler will reduce your OpenTelemetry trace costs. The way OTel data has been visualized can impact your ability to troubleshoot. With the best-in class visualization, you can go from a high level overview to every last detail. Correlate logs with traces. With one click, you can switch from logs to their corresponding traces. Never lose context again and resolve issues faster. Search your trace data using filters, groups, and free-text search to quickly pinpoint the problem. Reduce your costs by only sampling the data that you need. Sample traces according to languages, libraries and routes. Set data privacy rules for sensitive fields to be hidden within trace data or specific routes. Connect your everyday tools to your workflow. Logs, error tracking, external events API and more.

One line of code allows you to track costs, usage and latency in GPT applications. OpenAI is trusted by leading companies. Soon, we will support Anthropic Cohere Google AI and more. Keep track of your costs, usage and latency. Integrate models such as GPT-4 and Helicone to track requests for APIs and visualize results. Dashboards for generative AI applications are available to give you an overview of the application. All of your requests can be viewed in one place. Filter by time, user, and custom properties. Track spending for each model, user or conversation. This data can be used to optimize API usage and reduce cost. Helicone can cache requests to reduce latency and save money. It can also be used to track errors and handle rate limits.

Connect, secure, monitor, and manage (CSM2) your distributed enterprise edge using centralized observability, analytics, and connectivity. To ensure increased uptime, performance, and security, it is easier to identify and fix issues quickly. Open microservices architecture provides everything you need for managing your distributed enterprise edge.

When organizations invest in a platform that unifies data and insights across IT, they can solve problems faster and eliminate data silos. They can also eliminate resource-intensive warrooms and alert fatigue. Riverbed IQ unified observability enables rapid, effective decision making across business and IT. It codifies expert troubleshooting skills so junior staff members can achieve more first level resolutions. Broad-based Telemetry provides a unified view on performance and insights. This is the foundation for unified observability, upon which all other capabilities can be delivered. Riverbed IQ’s approach to unified observability starts with our full-fidelity telemetry – across the network and infrastructure, and including end-user experiences metrics.

SolarWinds Observability self-hosted (formerly known by the name Hybrid Cloud Observability), is a comprehensive and integrated full-stack observability tool designed to help organizations increase visibility, intelligence and productivity in on-premises or multi-cloud environments. It integrates data across the IT ecosystem including networks, servers and applications, databases and more. This provides a unified view on service delivery and component dependency. The platform includes features such as network monitoring, flow analysis and monitoring, network device configuration, IP address management and monitoring, user and device tracking and server and application management. It also offers virtualization monitoring and managing, log monitoring and analytics, server configuration management and VoIP and network assurance.

Enhancing business performance through the identification and resolution high-priority incidents. The WatchTower Platform, an observability tool, simplifies incident resolution for mainframe environments. It does this by integrating events, data flows and metrics from across IT silos. It provides a unified and user-friendly interface for operations teams, allowing them to streamline workflows. WatchTower, built on familiar AIOps, detects potential problems early, facilitating proactive prevention. OpenTelemetry is used to stream mainframe data to observability software, allowing enterprise SREs identify bottlenecks and improve operational efficiency. WatchTower adds context to alerts, eliminating the need to log into multiple tools in order collect critical information. WatchTower workflows simplify problem identification, investigation and incident resolution. They also streamline problem handover, escalation and problem handover.

Logit.io are a centralized logging and metrics management platform that serves hundreds of customers around the world, solving complex problems for FTSE 100, Fortune 500 and fast-growing organizations alike. The Logit.io platform delivers you with a fully customized log and metrics solution based on ELK, Grafana & Open Distro that is scalable, secure and compliant. Using the Logit.io platform simplifies logging and metrics, so that your team gains the insights to deliver the best experience for your customers.

All your logs and metrics can be gathered, transformed, and routed with one tool. Vector, a Rust-based tool, is lightning fast and memory efficient. It can handle even the most challenging workloads. Vector is the only tool you will need to get observability information from A to B. It can be deployed as a sidecar, daemon, or aggregator. Vector supports metrics and logs, making it easy for you to collect and process all your observation data. Vector does not favor any particular vendor platform and promotes an open, fair ecosystem that serves your best interests. Future proof and lock-in-free. Vector's configurable transforms allow you to harness the power of programmable runtimes. You can handle complex use cases without limitations. Vector understands that guarantees are important and can help you choose the right trade-offs for your particular use case.

AI-powered cloud observation platform. Middleware platform helps you identify, understand and resolve issues across your cloud infrastructure. AI will detect and diagnose all issues infra, application and infrastructure and provide better recommendations for fixing them. Dashboard allows you to monitor metrics, logs and traces in real time. The best and fastest results with the least amount of resources. Bring all metrics, logs and traces together into a single timeline. A full-stack platform for observability will give you complete visibility into your cloud. Our AI-based algorithms analyze your data and make suggestions for what you should fix. Your data is yours. Control your data collection, and store it in your cloud to save up to 10x the cost. Connect the dots to determine where the problem began and where it ended. Fix problems before users report them. The users get a comprehensive solution for cloud observability at a single location. It's also too cost-effective.

IBM Instana sets the gold standard for incident prevention, offering automated full-stack visibility, 1-second data granularity, and 3-second notifications. In today’s complex and ever-changing cloud environments, even an hour of downtime can lead to six-figure losses or more. Traditional application performance monitoring (APM) tools often fall short—they’re too slow to keep up, lack the breadth to provide actionable context, and are typically reserved for super users who require extensive training to operate them. IBM Instana Observability goes beyond traditional APM by democratizing access to observability. Teams across DevOps, SRE, Platform Engineering, ITOps, and Development can seamlessly access the data they need, enriched with contextual insights. Instana delivers high-fidelity data with 1-second granularity, end-to-end tracing, and comprehensive visibility into logical, physical, and mobile dependencies spanning applications, web services, and infrastructure. At its core, Instana Dynamic APM leverages an agent-based architecture that uses sensors—lightweight, automated programs designed to monitor specific entities. A single agent per host, deployed either as a standalone process or a container.

DX Unified Infrastructure Management is unique in that it offers an open architecture, full stack observability, zero-touch configuration, and an open architecture for monitoring traditional, hybrid, and public cloud infrastructure environments. This solution is designed to provide an excellent end-user experience. It provides a modern HTML5 operations console which makes it easy for IT teams to implement and use the solution quickly. This reduces time to value. DX Unified Infrastructure Management provides actionable insight for cloud environments such as AWS or Azure and modern architectures associated cloud services such as Nutanix and Hadoop, Mongo and Apache. It combines deep domain expertise across hybrid cloud infrastructure elements to drive digital transformation, automation and innovation. Automatically detect devices based upon their properties and then automatically set policies for each type of device and deploy configurations and alarm policy as required.

Add enterprise-level security to your OpenAI usage. OpenAI LLM APIs may be powerful, but lack the visibility and control that enterprises require. Usage Panda fixes this. Usage Panda checks the security policies of requests before they are sent to OpenAI. Avoid unexpected bills by only allowing those requests that are below a certain cost threshold. Opt-in for a log of the entire request, parameters and response to every OpenAI request. Create an unlimited number connections, each with their own custom policies and limitations. Monitor, redact and block malicious attempts at altering or revealing system prompts. Usage Panda's visualizations and custom charts allow you to explore usage in great detail. Receive notifications via email or Slack when you reach a usage threshold or billing limit. Assign costs and policy violations to the end application users, and implement rate limits per user.

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

Reimagined observability in one place for context and performance, across all stacks at any scale. Monitor applications, infrastructure, databases and more on a single intuitive dashboard to gain comprehensive end-toend visibility. With just a few mouse clicks, you can easily track and analyze digital journeys from the browser to applications and infrastructure. Deep user analytics and real-user monitoring (RUM) can help you gain valuable insights about user journeys, identify dropouts and pinpoint critical business points. Real-time visibility, rapid root-cause analyses and quick adaptations will help you to optimize and innovate. You can reach our team of experts 24/7, 365 days per year to receive timely assistance.

VictoriaMetrics Enterprise, a commercial product designed by the creators VictoriaMetrics, is a solution for monitoring and observability in complex environments. It's perfect for organizations with large or rapidly scaling monitoring environments. The Enterprise edition includes all of the features in the Community Edition plus additional enhancements like Downsampling Automated backups / Backup manager Data Retention Per Label/Tenant Multi Tenant Statistic & Anomaly detection. It provides stable releases and long-term support to ensure critical bug fixes, security patches, and other enhancements. The package also includes enterprise security compliance and prioritised feature requests. We can help you reduce storage costs while improving performance of historical data queries. Multiple retentions allow different storage durations for various datasets. Automatic discovery of storage updates the list without restarting services at insert and vmselect.