Phlare Alternatives

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

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

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.

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

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.

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.

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.

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

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.

We solve your most urgent business challenges with straightforward, flexible and scalable packages built to make your digital transformation a reality. Get started with our leading business observability platform, today. Get full-stack observability with a business lens from AppDynamics and Cisco. Prioritize what’s most important to your business and your people so you can see, share and take action in real-time. Turn performance into profit with a deeper understanding of user and application behavior. Correlate full-stack performance with key business metrics like conversions and quickly resolve issues before they impact the bottom line. Confidently face the unknowns in today’s technology landscape with easy-to-implement solutions that fuel growth, delight your customers and keep your people engaged in driving your business success. Connect app performance to customer experience and business outcomes, helping you prioritize the most critical issues before they affect your customers.

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.

Azure Monitor maximizes the availability and performance of your applications and services by delivering a comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments. It helps you understand how your applications are performing and proactively identifies issues affecting them and the resources they depend on.

Get a full picture of how your app performs in production. Never miss the important data with a continuous profiling. You never know at which point in time you are going to need profiling data, so always collect it at low overhead. Many organizations have 20-30% of resources wasted in easily optimized code paths. The Parca Agent aims to lower the bar of starting to profile by requiring zero-instrumentation for the whole infrastructure. Deploy in your infrastructure and get started! Using profiling data collected over time, Parca can (with confidence and statistical significance) determine hot paths to optimize. Additionally, it can show differences between any query, such as comparing versions of software or any other dimension. Profiling data provides unique insight and depth into what code a process executed over time. Situations, traditionally difficult to troubleshoot, memory leaks, but also momentary spikes in CPU or I/O causing unexpected behavior can be easily understood.

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

Azure Managed Grafana is a fully managed service for analytics and monitoring solutions. It's supported by Grafana Enterprise, which provides extensible data visualizations. Quickly and easily deploy Grafana dashboards with built-in high availability and control access with Azure security. Access a wide variety of data sources supported by Grafana Enterprise and connect to your data stores in Azure and elsewhere. Combine charts, logs, and alerts to create one holistic view of your application and infrastructure. Correlate information across multiple datasets. Share Grafana dashboards with people inside and outside of your organization. Allow others to contribute to solution monitoring and troubleshooting.

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.

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.

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.

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.

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.

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.

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

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. Logit.io enables you to monitor and troubleshoot your applications and infrastructure in real-time and enhance your organization's security and compliance. Allow your team to focus on what's important to them, instead of hosting, configuration and upgrading separate open source solutions. Sending your data to the platform is easy, simply use our preconfigured sources to automate the collection of your logs and metrics.

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/

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.

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.

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

Kensu monitors the end-to-end quality of data usage in real time so your team can easily prevent data incidents. It is more important to understand what you do with your data than the data itself. Analyze data quality and lineage through a single comprehensive view. Get real-time insights about data usage across all your systems, projects, and applications. Monitor data flow instead of the ever-increasing number of repositories. Share lineages, schemas and quality info with catalogs, glossaries, and incident management systems. At a glance, find the root causes of complex data issues to prevent any "datastrophes" from propagating. Generate notifications about specific data events and their context. Understand how data has been collected, copied and modified by any application. Detect anomalies based on historical data information. Leverage lineage and historical data information to find the initial cause.

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

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.

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.

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

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.

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.

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.

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

Increasing service and support efficiency and business satisfaction starts with predicting and avoiding downtime. EV Observe is a monitoring platform for network, IoT, IT infrastructure, cloud, and application monitoring that delivers an end-to-end service experience. We make it easy for organizations to embrace a proactive and predictive approach to service support, delivery, and observability, including collaborative self-help, self-healing, and comprehensive performance and availability insights. This helps teams to focus on value delivery and innovation that drives business outcomes, resulting in higher employee engagement and a better customer experience, increased productivity, and improved resiliency. Designed for SaaS monitoring in a multi-client, multi-site context for the cloud. Integrated software production tool covering the entire spectrum of software processes, and has instituted DevOps practices.

Monitor, analyze, and manage multi-cloud applications and infrastructure environments with full-stack visibility, prebuilt analytics, and automation using Oracle Cloud Observability and Management Platform. Complete visibility through infrastructure monitoring, real user experience, synthetic monitoring, and distributed tracing. Monitor and troubleshoot issues faster by analyzing data from any source using interactive, intuitive dashboards. Unified monitoring, capacity planning, and database administration capabilities for on-premises and cloud databases. Deploy and manage Oracle Cloud resources using Terraform-based automation and manage data exchanges. Complete app performance visibility through real user experience, synthetic monitoring, and distributed tracing. Unified database monitoring and administration capabilities for on-premises and cloud databases. Easily review log data, diagnose issues, and generate notifications using predefined triggers.

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.

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.

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

Layer enterprise-level security features over your OpenAI usage. OpenAI LLM APIs are incredibly powerful, but they lack the granular control and visibility that enterprises expect. Usage Panda fixes that. Usage Panda evaluates security policies for requests before they're sent to OpenAI. Avoid surprise bills by only allowing requests that fall below a cost threshold. Opt-in to log the complete request, parameters, and response for every request made to OpenAI. Create an unlimited number of connections, each with its own custom policies and limits. Monitor, redact, and block malicious attempts to alter or reveal system prompts. Explore usage in granular detail using Usage Panda's visualization tools and custom charts. Get notified via email or Slack before reaching a usage limit or billing threshold. Associate costs and policy violations back to end application users and implement per-user rate limits.

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.

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

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.

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.

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.

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.

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

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