Alternatives to gProfiler

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.

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.

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.

IT performance monitoring does not just focus on monitoring CPU, memory, and network resources. eG Enterprise makes the user experience the center of your IT management and monitoring strategy. eG Enterprise allows you to measure the digital experience of your users and get deep visibility into the performance of the entire application delivery chain -- from code to user experiences to data center to cloud -- all from a single pane. You can also correlate performance across domains to pinpoint the root cause of problems proactively. eG Enterprise's machine learning and analytics capabilities enable IT teams to make smart decisions about right-sizing and optimizing for future growth. The result is happier users, increased productivity, improved IT efficiency, and tangible business ROI. eG Enterprise can be installed on-premise or as a SaaS service. Get a free trial of eG Enterprise today.

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.

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.

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.

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.

The only real-time, analytics driven multicloud monitoring solution (formerly SignalFx). Monitor any environment using a highly scalable streaming architecture. Open, flexible data collection and quick visualizations of services in seconds. This purpose is for dynamic and ephemeral cloud-native environments of any size (e.g. Kubernetes containers, serverless, container). Identify, visualize, and resolve issues immediately. Predictive streaming analytics allows you to monitor infrastructure performance at cloud scale in real-time. More than 200 pre-built cloud integrations and out-of the-box dashboards allow for quick visualization of your entire stack. Autodiscover, break down, group, and explore cloud, services, and systems. You can quickly and easily see how your infrastructure behaves in relation to different availability zones, Kubernetes Clusters, and other services.

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.

CtrlStack manages many operational activities and sources for changes to reduce risk, track change impact, find root causes of production problems fast, and reduce risks. Relationship mapping is a way to find meaningful connections and interactions among data, such as logs, events, and traces. This "data between data" is represented using a native graph database at speed and scale. In one click, you can see all changes across commits and configuration files. To avoid reverting other's changes, capture all context surrounding an incident as it happens. Get insight into the context of an incident, including who, what, and when it occurred and how it affects operations. Use a DevOps diagram to collaborate across teams and share data knowledge.

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.

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.

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

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.

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 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.

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.

End-to-end monitoring platform that will help you gain insights, protect assets, and troubleshoot transactions in your decentralized applications. Our SDK is type-safe and easy to use. It can be used to collect and transform data using smart contracts' transactions, events, traces, states, and traces. The versioned data can be quickly and easily iterated. With powerful transformation and aggregation capabilities, you can create low-code dashboards in seconds. Visualize metrics and zoom in and out at various times. You can set up real-time alerts that notify your team via Slack and Telegram, Email, webhook, and Telegram so you can quickly react to critical events. Structured logs can be searched and accessed from real-time dashboards. Sentio's mission will be to accelerate DApp proliferation through the provision of the best and most battle-tested infrastructure, tools, and philosophy to the crypto community. Register your email to receive updates on our launch and early access to our beta version.

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.

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.

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.

Helios gives security teams context and actionable insights at runtime that reduce alert fatigue. This is done by providing real-time visibility of app behavior. We provide accurate insights into the software components that are in use and their data flow, providing an accurate assessment of the risk profile. Save time by prioritizing fixes according to the unique context of your application - focusing on its real attack surface. Security teams can identify which vulnerabilities need to be fixed by using the applicative context. Once the proof is in hand, it is not necessary to convince the development team that a particular vulnerability exists.

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.

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.

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.

Our pre-built dashboards work and allow you to monitor your cluster's health and troubleshoot problems faster. Our clear pricing makes it easy for you to get started right away. ContainIQ deploys three agents inside your cluster. One replica deployment collects metrics and events using Kubernetes API. Two additional daemon sets collect logs from all your pods/containers. The second collects latency information for each pod on that node. Monitor latency by microservice or by path, including p95 and p99, average and RPS. It works instantly without the need for middleware or application packages. Set up alerts for significant changes. You can search functionality, filter by date range and view data over time. View all incoming and outgoing requests along with metadata. Graph P99,P95, average latency and error rate over time for each URL. For debugging problems when they arise, correlate logs are useful.

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.

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.

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.

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.

IBM®, Instana®, is the gold-standard of incident prevention. It offers automated full-stack transparency, 1-second granularity, and 3-second notification. In today's highly complex and dynamic cloud environments, an hour of downtime could cost you six figures or more. Traditional application performance monitoring tools (APMs) are not fast enough to keep pace or comprehensive enough to contextualize issues identified. They are also typically only available to super users, who must undergo months of training. IBM Instana Observability is a solution that goes beyond traditional APM by democratizing observability. Anyone in DevOps or SRE, Platform Engineering, ITOps, and Development can access the data they need with the context needed. Instana delivers high-fidelity data with a 1-second granularity, and end-toend traces, as well as the context of logical, physical, and mobile dependencies, across applications, web, and infrastructure.

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.

BindPlane is a unique IT operations data management platform which can deliver a relationship-aware stream real-time logs and metrics. This is the best way to ensure that your performance monitoring platform always has the most accurate data across your entire stack. All your stack data in one place. More than 150 high-fidelity technology connections for apps, infrastructure, and cloud resources are instantly connectable to your favorite monitoring software. Dimensional data can help you identify the root cause of performance problems up to 33% quicker than traditional methods. It allows you to see the inter and intra relationships among different layers of your IT stack. Get immediate insight using our best-practice-based KPIs, data visualizations, and other tools. Share full-stack dashboards and standardize deployment automation using rich APIs. Access to the most popular enterprise technologies and a constantly updated library of plugins will improve analytics accuracy.

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.

Full-stack platform for monitoring your hardware and software. InsightCat, a full-stack monitoring solution for infrastructure monitoring, allows you to search, analyze, aggregate and summarize system metrics from one place. The solution was designed to be simple and address the most pressing requests of DevOps and SecOps (System administrators, SecOps and IT specialists) related to infrastructure monitoring, security log management, log management, log management, and other issues. This solution allows you to: Perform infrastructure monitoring. Identify anomalies in your infrastructure and eliminate them as quickly possible. This will also prevent similar problems from happening again. Synthetic monitoring. Monitoring your web services 24 hours a day. Be aware of any critical downtimes in advance. Log management. Log management. Smart alerting and escalation. To keep your team informed of any unusual behavior, spikes or errors, set up the flexible alarming system.

Glasnostic inserts itself agentlessly into the network data pathway, observes interaction patterns among services, detects anomalies and responds in real-time with predictable and effective control primitives. If you are not connected to the action, visibility is useless. Glasnostic allows engineers to respond in real-time to system behavior and proactively. Glasnostic inserts transparent controllers in the network data plane. These controllers act as a brain within the wire that responds to and detects behaviors in real time. Interaction metrics are sent from the control plane to the control plane for storage and anomaly detection. They can also be used for manual or automated control. Glasnostic integrates with all major cloud technologies. It can also integrate with existing tools, from AIOps to workflows and security tools via webhooks and APIs. Glasnostic can work with all major technology stacks. System behaviors can be viewed holistically, uniformly, everywhere.

Linkerd adds critical security and observability features to your Kubernetes cluster. No code changes are required. Linkerd is 100% Apache licensed, with a growing, active, and friendly community. Linkerd's Rust-based data plane proxy servers are extremely small (10MB) and lightning fast (p991ms). No complicated APIs or configuration. Linkerd "just works" for most applications. Linkerd's control plan installs in a single namespace and services can safely be added to the mesh one at a while. A comprehensive suite of diagnostic tools is available, including live traffic samples and automatic service dependency maps. You can monitor golden metrics such as success rate, request volume and latency for every service with best-in-class observation.

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/

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!

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.

Scalyr is the log management platform and observability platform for new stack. Scalyr was designed to deal with the complexity and scale of modern cloud architectures. It allows engineers to quickly solve problems and concentrate on what they love, coding. Scalyr has made logs a benefit with 96% of searches being completed in less than one second and thousands upon thousands of active users. Scalyr's rapidly growing customer base includes NBCUniversal and Business Insider as well as Valentino, Giphy and Zalando. The company is the best-rated in its category in G2 Crowd and is a Gartner 2018 cool vendor. It was also named a 2018 Forbes Cloud 100 Rising Star. Visit us at www.scalyr.com or follow us on Twitter (@scalyr).

Your enterprise's self-healing IT solution. HEAL's unique cognitive capabilities prevent IT system failures from ever happening, allowing you to focus your energy on other areas of your business. It's not enough to flag incidents after they happen in a fast-paced world. HEAL, a self-healing tool that predicts and prevents instead of fixing what's broken is a new age IT tool. It uses AI algorithms and machine learning to help enterprises run smoothly. HEAL uses a patented technique called workload-behavior correlation'. It analyzes all aspects that contribute to the smooth running an IT system (the cumulative volumes, composition, and payload) and responds to any abnormal behavior. This action can either be a healing or scaling action depending on the root cause.

Cribl Stream allows you create an observability pipeline that helps you parse and restructure data in flight before you pay to analyze it. You can get the right data in the format you need, at the right place and in the format you want. Translate and format data into any tooling scheme you need to route data to the right tool for the job or all of the job tools. Different departments can choose different analytics environments without the need to deploy new forwarders or agents. Log and metric data can go unused up to 50%. This includes duplicate data, null fields, and fields with zero analytical value. Cribl Stream allows you to trim waste data streams and only analyze what you need. Cribl Stream is the best way for multiple data formats to be integrated into trusted tools that you use for IT and Security. Cribl Stream universal receiver can be used to collect data from any machine source - and to schedule batch collection from REST APIs (Kinesis Firehose), Raw HTTP and Microsoft Office 365 APIs.

HTCD is an AI-driven cloud security SaaS designed to significantly enhance your security posture. HTCD offers centralized visibility with over 500 pre-built policies covering cloud security, infrastructure, networks, SaaS, and compliance. You retain full control of your data while benefiting from seamless integration and extensive protection. Detect - No-Code Detection Engineering Eliminate the need for complex coding. With HTCD, create detections without code, using plain English as your programming language. Quickly identify and mitigate potential threats with queries like: "Which CVEs are exploitable in my Azure environment?" "Show me S3 costs over the past two weeks." Hunt - Proactive Internal Threat Hunting Track activities across all your Cloud (Azure, AWS) and SaaS (M365, GitHub, HubSpot, Slack, etc.) tools with ease. Empower your security analysts and internal threat detection teams with one-click hunting for rapid detection and resolution. Respond - Address What Matters Most Gain a risk-based perspective on security misconfigurations and vulnerabilities, prioritized by AI specifically for you. HTCD helps you address the most critical issues, drastically reducing response times and operational risk.

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.

Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.

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.

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