Alternatives to Pyroscope

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.

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

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.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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

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.

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.

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/

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.

Squash latencies and detect bottlenecks. Debug errors. Join the rapidly growing community of businesses around the globe that are achieving a 20X ROI and value by adopting KloudMate compared to other observability platforms. Monitor critical metrics and dependencies quickly, and detect anomalies using alarms and issue trackers. Locate 'breakpoints' within your application development lifecycle to fix issues proactively. View service maps of every component within your application and discover intricate dependencies and interconnections. Track every request and operation to gain detailed visibility into performance metrics and execution paths. Unified Infrastructure Monitoring capabilities can be used to monitor metrics, regardless of whether it is a multi-cloud, private, hybrid or hybrid architecture. A complete system view will help you debug faster and more precisely. Identify and solve issues faster.

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.

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.

You can add logs, metrics, and traces to production or staging directly from your IDE/CLI, in real time and on-demand. Lightrun can help you increase productivity and ensure 100% code-level observability. Lightrun allows you to insert logs and metrics even when the service is in progress. You can debug monolith microservices like Kubernetes and Docker Swarm, ECS and Big Data workers, as well as serverless. Quickly add a logline, instrument a measurement, or place a snapshot that can be taken on-demand. There is no need to recreate the production environment or redeploy. Once instrumentation has been invoked, data is printed to your log analysis tool, your editor, or an APM of choice. To analyze code behavior and find bottlenecks or errors, you can stop the running process. You can easily add large numbers of logs and snapshots, counters or timers to your program. The system won't be stopped or broken. Spend less time debugging, and more time programming. Debugging is done without the need to restart, redeploying, or reproduce.

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.

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.

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.

Only Data Observability platform that allows complete control over enterprise data systems. Comprehensive, cross-sectional visibility of complex, interconnected data systems. Synthesizes signals across workloads and data quality, security, infrastructure, and security. Data processing and operational efficiency are improved. Automates data quality monitoring from start to finish for rapidly changing and mutable datasets. Acceldata offers a single window to identify, predict, and fix data problems. Complete data issues can be fixed in real-time. You can observe the flow of business data from one pane of glass. Find anomalies in interconnected data pipelines.

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.

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.

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.

The most comprehensive network observability solution available for modern data platforms. Provides unprecedented insights at any size. ElastiFlow enables organizations to achieve unprecedented levels in network performance, availability and security. ElastiFlow gives detailed information about network traffic, including IP addresses, ports and protocols, as well as the amount of data sent. This information allows network administrators gain a deeper understanding of the network's performance, and identify potential problems. ElastiFlow can be used to diagnose and troubleshoot network issues, such as congestion, packet loss, or high latency. Administrators can identify the root cause of a problem by analyzing network traffic and taking appropriate action. ElastiFlow allows organizations to improve their security posture and detect and respond more effectively to threats, while maintaining compliance with regulatory requirements.

VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.

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!

gProfiler combines several sampling profilers into a single visualization of how your CPU is being used. It displays stack traces for native programs, including Golang, Java and Python runtimes. gProfiler allows you to upload your results into the Granulate Performance Studio. This studio aggregates results from different instances and different time periods, giving you a holistic overview of the cluster. To upload your results, you'll need to register on the website and generate a token.

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.

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.

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.

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.

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

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.