Alternatives to Phlare

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.

NetBrain's no-code automation platform for hybrid network observability empowers organizations to streamline operations by automating three critical workflows: troubleshooting, change management, and assessment. The platform features a high-level summary dashboard for hybrid network observability, providing instant insights into network health. The no-code technology, powered by a digital twin, allows for easy capture, replication, and enforcement of network intents at scale. This innovative approach enhances operational efficiency at scale, reduces downtime, and fortifies cybersecurity, making it an essential tool for modern network operations. 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

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.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

The Dynatrace software intelligence platform. Transform faster with unmatched observability, automation, intelligence, and efficiency in one platform. You don't need a bunch of tools to automate your multicloud dynamic and align multiple teams. You can spark collaboration between biz and dev with the most purpose-built use cases in one location. Unify complex multiclouds with out-of the box support for all major platforms and technologies. Get a wider view of your environment. One that includes metrics and logs, and trace data, as well as a complete topological model with distributed traceing, code-level detail and entity relationships. It also includes user experience and behavioral information. To automate everything, from development and releases to cloud operations and business processes, integrate Dynatrace's API into your existing ecosystem.

Netreo is the best full-stack IT infrastructure management and observation platform. Netreo is a single source for truth for proactive performance monitoring and availability monitoring of large enterprise networks, infrastructure, and applications. Our solution is used by: IT executives should have full visibility of the business service, right down to the infrastructure and network that supports them. IT Engineering departments are used as a decision support system to plan and architect modern solutions. IT Operations teams can have real-time visibility into what is going wrong in their environment, which bottlenecks exist, and who it is affecting. All of these insights are available for systems and vendor mix in large heterogeneous environments that are constantly changing. We have a growing list of vendors that we support (over 350 integrations), including network vendors, storage, virtualization, and servers.

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.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Get a complete picture of your app's performance in production. A continuous profiling will ensure that you never miss any important data. You never know when you will need profiling information, so collect it with low overhead. Many organizations waste 20-30% of their resources on code paths that can be easily optimized. The Parca Agent is designed to lower the bar for profiling by requiring zero instrumentation of the entire infrastructure. Start by deploying in your infrastructure! Parca can determine (with confidence and statistical significance), hot paths to optimize, using profiling data collected throughout time. It can also show differences in any query, whether it's comparing software versions or any other dimension. Profiling data can provide unique insight into the code that a process executed. Memory leaks and momentary spikes in CPU, I/O, or both, which cause unexpected behavior, are situations that are difficult to troubleshoot.

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.

Azure Managed Grafana provides a fully managed solution for monitoring and analytics. Grafana Enterprise provides extensible data visualisations. Azure security allows you to deploy Grafana dashboards quickly and easily with high availability. Grafana Enterprise supports a variety of data sources. Connect to your data stores, whether they are in Azure or elsewhere. Combine charts, alerts, and logs to get a holistic view of your infrastructure and application. Correlate information across multiple datasets. Share Grafana dashboards within and outside your organization. Allow others to participate in solution monitoring and problem solving.

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

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.

OpenLIT is a native application observability tool for OpenTelemetry. It is designed to integrate observability into AI with only one line of code. You can use HuggingFace or OpenAI, two popular LLM libraries. OpenLIT's native integration makes it easy to add it to your projects. Analyze LLM performance and GPU costs to maximize efficiency and scalability. Streams data so you can visualize your data, make quick decisions, and modify it. Data is processed quickly and without affecting performance. OpenLIT UI allows you to explore LLM costs and token consumption, performance indicators and user interactions through a simple interface. Connect with popular observability tools, such as Datadog and Grafana Cloud to export data automatically. OpenLIT monitors your applications seamlessly.

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.

LogIQ.AI's LogFlow allows you to centrally manage your observability data pipes. Data streams are automatically organized and optimized as they arrive for your business teams or knowledge workers. XOps teams can centralize the management of data flows, increase data quality, and relevance. LogFlow's InstaStore, which can be built on any object store allows for infinite data retention and data replay to any target observation platform of your choosing. Analyze operational metrics across applications, infrastructure and gain actionable insight that will help you scale with confidence and maintain high availability. By analyzing and collecting behavioral data from business systems, you can help your business make better business decisions and provide better user experiences. Don't let new attack techniques catch you off guard. Automate threat prevention and remediation by automating the detection and analysis of threat patterns from multiple sources.

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.

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.

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.

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.

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.

Open-source monitoring solutions are able to power your alerting and metrics. Prometheus stores all data in time series. These are streams of timestamped value belonging to the same metric with the same labeled dimensions. Prometheus can also generate temporary derived times series as a result of queries. Prometheus offers a functional query language called PromQL, which allows the user to select and aggregate time series data real-time. The expression result can be displayed as a graph or tabular data in Prometheus’s expression browser. External systems can also consume the HTTP API. Prometheus can be configured using command-line flags or a configuration file. The command-line flags can be used to configure immutable system parameters such as storage locations and the amount of data to be kept on disk and in memory. . Download: https://sourceforge.net/projects/prometheus.mirror/

Secure and observability SaaS platform that charges per-use for containers, Kubernetes and the cloud. Live view of dependencies and how services communicate with each other in multi-cluster, hybrid, and multi-cloud environments. You can eliminate the setup and onboarding steps, and you can troubleshoot any Kubernetes security or observability issues in minutes. Calico Cloud is a next generation security and observability SaaS platform that supports containers, Kubernetes and cloud. It allows organizations of all sizes and budgets to protect their cloud workloads, containers, detect threats, maintain compliance, and troubleshoot issues in real time across multi-cluster, hybrid, and multi-cloud deployments. Calico Cloud is built upon Calico Open Source, which is the most widely used container networking and security solution. Instead of managing a platform that provides Kubernetes security or observability, teams can use it as a managed service to speed up analysis, relevant actions, and so on.

The Observer Platform provides a comprehensive network performance monitoring (NPMD) solution that is ideal for maintaining high performance of all IT services. The Observer Platform is an integrated offering that provides visibility into critical KPIs via pre-defined workflows, starting at high-level dashboards and ending at service anomaly root cause. It is ideal for achieving business goals and solving challenges across the entire IT enterprise lifecycle, including deploying new technologies, managing existing resources, solving service anomalies, and optimizing IT asset use. The Observer Management Server UI (OMS UI) is a cyber security tool. It features simple navigation that allows you to authenticate security threats, manage user access and password data, upgrade web applications, and streamline management tools from a single location.

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.

Kensu monitors data usage throughout the day in real-time. This allows your team to prevent data incidents. It is important to understand how you use your data, not just the data. A single comprehensive view allows you to analyze data quality and lineage. Real-time insight into data usage across all of your systems, projects, or applications. Instead of relying on ever-increasing numbers of repositories, monitor data flow. With catalogs, glossaries and incident management systems, share lineages, schemas, and quality information. To prevent data catastrophes from spreading, identify the root causes of complex data issues at a glance. You can generate notifications about specific data events and their context. Learn how data was collected, copied, and modified by any application. Analyze historical data information to detect anomalies. Use historical data information and leverage lineage to determine the cause.

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.

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.

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.

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.

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.

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.

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

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!

With full-stack visibility and prebuilt analytics, you can monitor, analyze, and manage multicloud applications and infrastructure environments. Automation is possible with Oracle Cloud Observability Management Platform. You have complete visibility through infrastructure monitoring, real user experience and distributed tracing. You can quickly monitor and troubleshoot problems faster using interactive, intuitive dashboards that analyze data from any source. Unified monitoring, capacity planning and database administration capabilities for both on-premises as well as cloud databases. Terraform-based automation allows you to deploy and manage Oracle Cloud resources. You can also manage data exchanges. App performance visibility is achieved through real user experience, synthetic monitoring and distributed tracing. Unified database monitoring and administration capabilities, both for cloud and on-premise databases. You can easily review log data and diagnose issues.

Predicting and avoiding downtime is the first step to increasing service and support efficiency, and business satisfaction. EV Observe provides an end-toend service experience with its monitoring platform that includes network, IoT and IT infrastructure monitoring, cloud monitoring, and application monitoring. We make it simple for organizations to adopt a proactive and predicative approach to service delivery, support, and observability. This includes collaborative self-help and self-healing as well as comprehensive performance and availability insight. This allows teams to focus on innovation and value delivery that drives business outcomes. The result is higher employee engagement, improved customer experience, increased productivity and improved resilience. Cloud-based SaaS monitoring for multi-clients and multi-sites. Software production tool that integrates the entire spectrum of software development processes and incorporates DevOps.

With today's complex IT environment and applications, which can span traditional data centers, SaaS and IaaS clouds, it can be difficult to gain visibility into performance. When companies use a traditional, siloed management approach, they have a fragmented and incomplete view of performance. IT spends a great deal of time analyzing the data, but often comes to different and sometimes conflicting conclusions about the cause of performance issues. Riverbed Portal integrates telemetry data to create a dynamic, centralized view of performance. This holistic view provides IT Ops teams with a single source for truth to accelerate troubleshooting, and provide meaningful data for all stakeholders across the enterprise. IT can control and optimize data, applications, and traffic on the hybrid network as a whole, allowing key resources to focus on strategic projects.

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

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.

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.

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.

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.

Notify others about issues and have them investigated to the greatest detail. Always view logs, metrics, and traces in context. You can quickly see the top issues and overall health of your system. It may look like your dad's dashboard, but it isn't. Filter, pivot, and narrow time ranges can be used to pinpoint root cause. The best part? Observe automatically creates Landing Pages, giving you all the information without any effort. Observe organizes and links the data you ingest to make it easy to navigate. Universe Maps let you see how everything is related. They show the Observable Universe that is accessible to explore. Universe Maps are easy to use and intuitive. You can drill down to deployments, containers, pods, and even the AWS EC2 instances that they are running on.

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.

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.

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.

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.

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.