Alternatives to Langtrace

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

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.

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

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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.

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.

Aviz is a vendor-agnostic data-centric stack. It supports multiple ASICs and switches, NOSs, clouds and LLMs and integrates seamlessly into AI and security applications. It is designed to work with existing network infrastructures and open source networking, ensuring a smooth transition. Aviz allows customers to choose solutions without being locked into a vendor, and offers a multi-vendor experience with enterprise-grade features. Our conversational tool answers questions instantly on compliance, capacity planning and other topics. With predefined AI use-cases that are tailored to your needs, you can enjoy seamless integration and a 40% ROI. Our software-defined packet brokers can save you a lot of money on any switch, using open source technology.

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.

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.

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.

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

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.

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.

Bigeye is a data observability platform that allows teams to measure, improve and communicate data quality at any scale. A data quality problem can cause an outage that causes trust in the data. Bigeye starts with monitoring to rebuild trust. Before executives see it in a dashboard, find missing or broken reporting data. Before models are retrained, be aware of potential issues in training data. You need to get rid of that uncomfortable feeling that most data is correct most of the time. The status of a pipeline job doesn't tell the entire story. Monitoring the actual data is the best way to make sure data is available for use. Monitoring data-level freshness will ensure that pipelines run on schedule even when ETL orchestrators are down. Learn about any changes in event names, region codes or product types and other categorical data. To ensure that everything is working as it should, detect drops or spikes of row counts, nulls, or blank values.

HCL iObserve forms part of the Intelligent Full Stack Observability solution under HCLSoftware AI & Intelligent Operations framework. It is a full-stack, integrated and comprehensive observability solution that monitors & observes the complex IT ecosystem in hybrid cloud, helping customers accelerate their digital transformation. The solution is suitable for all organizations and industries. It has intelligence built in to help customers optimize their performance, reduce remediation times, and ensure availability across on-premises and multi-cloud environments.

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.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

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

Akita is designed for developers and SREs. It provides observability without the complexity. No code changes. Frameworks are not required. Simply deploy, observe, learn. You can solve problems faster and ship faster. Akita helps you to identify the root cause of problems by modeling API behavior, and mapping how services interact with each other. Akita creates models of API endpoints and their behavior to help you discover breaking changes quicker. Akita shows you what has changed in your service graph to help you debug latency errors and other errors. You can see what services are available in your system without having to add each service individually. Akita watches API traffic passively, making it possible for Akita to be run across your services without having to change code or use a proxy.

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.

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.

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.

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.

Your not-so-secret agent for vendor-neutral unified collection. Cribl Edge, a highly scalable, intelligent edge-based data collection solution for logs and metrics, as well as application data, is a powerful data collection system. Cribl Edge supports today's distributed microservice architectures with its automatic log discovery, metrics production and metrics production. Centrally manage, configure and deploy your agents in order to reduce resource overhead and expand easily. This is all done while avoiding vendor lock-in through agnostic, centralized integrations. Replace multiple legacy agents with redundant proprietary systems and reduce complexity. With a central location for agent management, you can say goodbye to painful manual upgrades and return control to your team. You can now manage your dispersed infrastructure by efficiently monitoring and deploying thousands of nodes within days, rather than weeks.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

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.