Parca Alternatives

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

Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. 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. 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.

IT performance monitoring is not about monitoring CPU, memory and network resources any more. eG Enterprise makes user experience the centerpiece of your IT monitoring and management strategy. With eG Enterprise, you can measure the digital experience of your users, get deep visibility into the performance the entire application delivery stack — from code to user experience, and data center to cloud — from a single pane of glass, correlate performance across domains and pinpoint the root-cause of problems proactively. Machine learning and analytics capabilities embedded in eG Enterprise enable IT teams make intelligent decisions regarding right-sizing, optimization and planning for future growth. The result: happy users, enhanced productivity, improved IT efficiency and tangible business ROI. eG Enterprise is available for installation on-premise and as a SaaS solution. Start a free trial today.

Epsagon enables teams to instantly visualize, understand and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Increase development velocity and reduce application downtime with Epsagon.

Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior.

Splunk Log Observer enables DevOps teams to understand the “why” behind application behavior. Splunk Log Observer sets up in minutes and connects to critical developer and SRE-oriented logs. Splunk Log Observer also enables easy browsing and exploration of logs. Get started quickly. Splunk® Log Observer on-boards some of the most popular data sources, including OpenTelemetry, Kubernetes, Fluentd and multiple AWS services in-context with all your telemetry data. Reduce time troubleshooting. Live Tail allows SREs and developers to filter and watch critical logs without having to learn a query language. Quickly dive into the relevant set of logs to fix any potential problems right away. Reduce time-consuming context switching between monitoring and troubleshooting. Splunk Log Observer, part of Splunk Observability Cloud is designed so that an attribute of a trace — whether a specific trace ID — or a parameter of a tag becomes a filter to remove extraneous steps from log exploration.

Open source continuous profiling. Find and debug your most painful performance issues across code, infrastructure and CI/CD pipelines. Let you tag your data on the dimensions important for your organization. Allows you to store large volumes of high cardinality profiling data cheaply and efficiently. FlameQL enables custom queries to select and aggregate profiles quickly and efficiently for easy analysis. Analyze application performance profiles using our suite of profiling tools. Understand usage of CPU and memory resources at any point in time and identify performance issue before your customer do. Collect, store, and analyze profiles from various external profiling tools in one central location. Link to your OpenTelemetry tracing data and get request-specific or span-specific profiles to enhance other observability data like traces and logs

Innovate faster in the cloud, elevate user experience and future-proof your applications. Built for the cloud-native enterprise, Splunk helps you solve modern issues. Detect any issue before it turns into a customer problem. Reduce MTTR with our real-time, AI-driven Directed Troubleshooting. Flexible, open-source instrumentation eliminates lock-in. Maximize performance by seeing everything in your application, and act on AI-driven analytics. To deliver a flawless end-user experience, you need to observe everything. With NoSample™ full-fidelity trace ingestion, leverage all your trace data to identify any anomaly. Reduce MTTR with Directed Troubleshooting to quickly understand service dependencies, correlation with underlying infrastructure and root-cause error mapping. Breakdown and explore any transaction by any metric or dimension. Quickly and easily understand how your application behaves for different regions, hosts, versions or users.

Our out-of-the-box solution allows you to monitor the health of your cluster and troubleshoot issues faster with pre-built dashboards that just work. And our clear and affordable pricing makes it easy to get started today. ContainIQ deploys three agents that sit inside your cluster: a single replica deployment that collects metrics and events from the Kubernetes API and two additional daemon sets, one that collects latency information for every pod on that node and another that collects logs for all of your pods/containers. Monitor latency by microservice and by path, including p95, p99, average, and RPS. Works instantly without application packages or middleware. Set alerts on significant changes. Search functionality, filter by date range, and view data over time. View all incoming and outgoing requests alongside metadata. Graph P99, P95, average latency, and error rate over time for each URL path. Correlate logs for a specific trace, useful for debugging when problems arise.

End-to-end observability platform to help you gain insights, secure assets and troubleshoot transactions for your decentralized applications. Use our type-safe, easy-to-use yet powerful SDK to collect and transform data based on smart contracts' events, transactions, traces, and states. Collected data are versioned for fast and easy iteration. Build low-code, real-time dashboards in seconds with powerful transformation and aggregation functions. Visualize metrics and easily zoom in and out at different timespan. Set up real-time alerts to notify your team via Slack, Telegram, Email and webhook so you can react quickly to critical events. Emit structured logs that are searchable and can be referenced from real-time dashboards. Sentio's mission is to accelerate DApp proliferation by bringing the best and battle-tested developer tools, infrastructure and philosophy to the crypto world. Leave your email to receive updates about our launch and gain early access to our beta release.

Grafana Phlare lets you aggregate continuous profiling data with high availability, multi-tenancy, and durable storage. This helps you get a better understanding of resource usage in your applications down to the line number. Grafana Phlare is an open source database that provides fast, scalable, highly available, and efficient storage and querying of profiling data. The idea behind Phlare was sparked during a company-wide hackathon at Grafana Labs. The project was announced in 2022 at ObservabilityCON. The mission for the project is to enable continuous profiling at scale for the open source community, giving developers a better understanding of resource usage of their code. By doing so, it allows users to understand their application performance and optimize their infrastructure spend.

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

Know before you go to the public cloud with a single AI-powered observability platform to migrate, control cost, optimize performance, monitor, and drive uptime for your infrastructure across data centers, private and public clouds. The most difficult challenges facing enterprises as they seek to leverage public clouds are how to “know before you go” which workloads to migrate and how to avoid unexpected costs and performance degradation once workloads are operating in the cloud. With the Virtana unified observability platform, you can migrate and optimize across hybrid, public, and private cloud environments. This modular hybrid-cloud infrastructure optimization platform collects high-fidelity data — then apply AIOps technologies, including machine learning and advanced data analytics to to provide intelligent observability of singular workloads to make better decisions about what to move and where to move it while still meeting performance requirements.

The only real-time, analytics-driven multicloud monitoring solution for all environments (formerly SignalFx). Monitor any environment on a massively scalable streaming architecture. Open, flexible data collection and rapid visualizations of services in seconds. Purpose built for ephemeral and dynamic cloud-native environments at any scale (e.g., Kubernetes, container, serverless). Detect, visualize and resolve issues as soon as they arise. Monitor infrastructure performance in real-time at cloud scale through predictive streaming analytics. Over 200 pre-built integrations for cloud services and out-of-the-box dashboards for rapid visualization of your entire stack. Autodiscover, breakdown, group, and explore clouds, services and systems. Quickly and easily understand how your infrastructure behaves across different services, availability zones, Kubernetes clusters and more.

HTCD is a cloud security SaaS built AI-first to materially upgrade your security posture. Access centralized visibility across your AWS and Azure environments—with 500+ OOTB policies for cloud security, infrastructure, network, SaaS, and compliance. All while retaining 100% ownership of your data. Create no-code detections in minutes. AI converts your questions to code for rapid results: Which CVEs can be exploited in my Azure environment? Show me S3 costs over the last 2 weeks ... and more. Get a prioritized view of security misconfigurations and vulnerabilities—solve the most pressing issues to reduce operational risk. AI reduces your response time by prioritizing in minutes what otherwise takes weeks. Get started in 15 minutes, free for 6 months for startups.

Enterprise observability for all your teams at scale. Most traditional tools detect simple threshold-based anomalies, making it difficult to distinguish false alarms from real issues. With VMware Tanzu Observability by Wavefront, you create smart alerts that dynamically filter noise and capture true anomalies. Troubleshooting distributed cloud applications is not trivial due to many moving parts, application dependencies, and frequent code updates. Wavefront collects all metrics in one place from your applications, clouds, and infrastructure. Finding a needle in the haystack is not easy when dealing with distributed cloud applications and containerized microservices emitting thousands of metrics. AI Genie™ helps you automatically identify “unknown unknowns” so you can quickly get to root incident root cause – isolate applications, infrastructure, cloud, and edge.

Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected.

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

Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging.

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

Logit.io are a centralized logging and metrics management platform that serves hundreds of customers around the world, solving complex problems for FTSE 100, Fortune 500 and fast-growing organizations alike. The Logit.io platform delivers you with a fully customized log and metrics solution based on ELK, Grafana & Open Distro that is scalable, secure and compliant. Using the Logit.io platform simplifies logging and metrics, so that your team gains the insights to deliver the best experience for your customers. Logit.io enables you to monitor and troubleshoot your applications and infrastructure in real-time and enhance your organization's security and compliance. Allow your team to focus on what's important to them, instead of hosting, configuration and upgrading separate open source solutions. Sending your data to the platform is easy, simply use our preconfigured sources to automate the collection of your logs and metrics.

High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. OpenTelemetry is generally available across several languages and is suitable for use. Create and collect telemetry data from your services and software, then forward them to a variety of analysis tools. OpenTelemetry integrates with popular libraries and frameworks such as Spring, ASP.NET Core, Express, Quarkus, and more! Installation and integration can be as simple as a few lines of code. 100% Free and Open Source, OpenTelemetry is adopted and supported by industry leaders in the observability space.

Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data

Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.

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

SigNoz is an open source Datadog or New Relic alternative. A single tool for all your observability needs, APM, logs, metrics, exceptions, alerts, and dashboards powered by a powerful query builder. You don’t need to manage multiple tools for traces, metrics, and logs. Get great out-of-the-box charts and a powerful query builder to dig deeper into your data. Using an open source standard frees you from vendor lock-in. Use auto-instrumentation libraries of OpenTelemetry to get started with little to no code change. OpenTelemetry is a one-stop solution for all your telemetry needs. A single standard for all telemetry signals means increased developer productivity and consistency across teams. Write queries on all telemetry signals. Run aggregates, and apply filters and formulas to get deeper insights from your data. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregations are lightning-fast.

LOGIQ.AI’s LogFlow provides centralized control of your observability data pipelines. As data streams arrive, they are automatically organized and optimized for your business teams and knowledge workers. XOps teams can centralize data flow management, gain data EPS control, and increase data quality and relevance. Built on any object store, LogFlow’s InstaStore enables infinite data retention and on-demand data replay to any target observability platform of your choice. Analyze operational metrics across applications and infrastructure and gain actionable insights that help you scale with confidence while maintaining high availability. Fuel business decisions and better user experiences by collecting, transforming, and analyzing behavioral data and usage patterns from business systems. Don’t let new attack techniques catch you off guard. Detect and analyze threat patterns from multiple sources and automate threat prevention and remediation.

Full-stack monitoring platform for your software and hardware. InsightCat is a full-stack infrastructure monitoring solution to search, analyze, and aggregate system metrics in one place. The solution was developed to be intuitive and cover the most vital requests of DevOps, System administrators, SecOps, and IT specialists related to infrastructure monitoring, security, log management, etc. The solution allows you to perform: Infrastructure monitoring. Detect anomalies within your infrastructure to eliminate them as quickly as possible and prevent the system from repeating similar issues. Synthetic monitoring. Monitor your web services around the clock and be aware in advance of the critical downtimes if they occur. Log management. Work with your log data and keep up with the root cause of any software error, within one place. Smart alerting and escalation. Set up the flexible alerting system to keep the team informed if any spikes, errors or unordinary behavior.

SolarWinds® AppOptics™ is a simple, powerful, and affordable SaaS-based infrastructure & application monitoring tool for custom on-premises, cloud, and hybrid systems. By enabling quick identification of performance problems across the stack from the application, to underlying infrastructure, down to the line of code, AppOptics helps reduce MTTR. AppOptics was thoughtfully designed for simple setup and use by all IT professionals with powerful features to quickly and automatically pinpoint performance issues removing the guesswork from troubleshooting. AppOptics enables you to align infrastructure and application performance objectives side by side with business objectives.

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

Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues.

Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/

Troubleshoot performance bottlenecks and errors within your microservices. Correlate root causes across traces, logs, and metrics. Cut your OpenTelemetry traces cost with Aspecto built-in remote sampling. How OTel data is visualized impacts your troubleshooting abilities. Go from a high-level overview to the very last detail with best-in-class visualization. Correlate logs and traces. From logs to their matched traces and back with one click. Never lose context and resolve issues faster. Use filters, free-text search, and groups to search your trace data and quickly pinpoint where in your system the problem is occurring. Cut your costs by sampling only the data you need. Sample traces based on languages, libraries, routes, and errors. Set data privacy rules to hide sensitive fields within trace data, specific routes, or anywhere else. Connect your day-to-day tools with your workflow. Logs, error monitoring, external events API, and more.

Glasnostic inserts agentlessly into the network data path, observes interaction patterns between services, detects anomalies, and responds with effective and predictable control primitives, in real-time and automatically. Visibility is worth little if disconnected from the action. With Glasnostic, engineers can respond to system behaviors in real-time and proactively. Glasnostic inserts transparent controllers into the network data plane, which collectively act as a brain-in-the-wire that detects and responds to behaviors in real-time. Interaction metrics are sent to the control plane for storage, anomaly detection, and automated or manual control. Glasnostic works with all major cloud technologies and integrates with existing tools from AIOps to workflow and security tools via APIs and webhooks. Glasnostic works with all major technology stacks. View system behaviors holistically, uniformly, and everywhere.

When organizations invest in an observability platform that unifies data, insights, and actions across IT, they can resolve problems faster, and eliminate data silos, resource-intensive war rooms, and alert fatigue. Alluvio IQ unified observability enables fast, effective decision-making across business and IT, codifying expert troubleshooting knowledge so junior staff can achieve more first-level resolutions, facilitating digital innovation, and continuously improving the digital experience for customers and employees. Broad-based telemetry brings together a unified view of performance and insights, which is the foundation of unified observability upon which all other capabilities are delivered. Alluvio IQ’s approach to unified observability begins with our full-fidelity telemetry – across the network and infrastructure and including end-user experience metrics.

A powerful yet lightweight security platform that provides insightful observability, proactive controls, threat detection and response for your Linux infrastructure in the cloud or datacenter. Your cloud infrastructure is a massive multi-user environment. Don’t protect it with security solutions originally built for endpoints. Think beyond logging and analytics solutions that lack the necessary context and workflows for true infrastructure security. Cmd’s infrastructure detection and response platform is optimized for the needs of today’s agile security teams. View system activity in real time or search through retained data, aided by rich filters and triggers. Leverage our eBPF sensors, contextual data model and intuitive workflows to gain insight into user activity, running processes and access to sensitive resources. No advanced degree in Linux administration required. Create guardrails and controls around sensitive actions to complement traditional access management.

Performance visibility can be difficult with today’s complex IT environments and applications, which often span traditional data center, SaaS, and IaaS cloud environments. When companies take a traditional, siloed approach to management, they often have a fragmented, incomplete view of performance. As a result, IT spends a lot of time analyzing data but arrives at different and often conflicting conclusions on the cause of performance problems. Alluvio Portal integrates performance telemetry to create a centralized, dynamic view of performance. This holistic view gives IT Ops teams a single source of truth for accelerating troubleshooting and providing meaningful data for stakeholders throughout the enterprise. Ultimately, IT is able to efficiently control and optimize applications, data, and traffic across the entire hybrid network, keeping key resources focused on strategic projects.

DX Unified Infrastructure Management is the only solution that provides an open architecture, full-stack observability, and zero-touch configuration for monitoring traditional data center, public cloud, and hybrid infrastructure environments. Designed to ensure an optimal end-user experience, this solution provides a modern HTML5 operations console that makes it easy and fast for today’s IT teams to implement, use, and scale, leading to faster time to value. DX Unified Infrastructure Management provides actionable insights for cloud environments, such as AWS and Azure, and the modern architectures associated with cloud services, such as Nutanix, Hadoop, Mongo, Apache, etc. It combines deep domain knowledge across hybrid cloud infrastructure elements to help drive digital transformation, automation, and innovation. Automatically discover devices based on properties, then automatically set policies for each device type and deploy configurations and alarm policies as needed.

BMC Helix Operations Management is a fully integrated, cloud-native, observability and AIOps solution designed to tackle challenging hybrid-cloud environments. Take a service-centric approach to observability data for truly effective AIOps. Combine 3rd party observability data such as metrics, events, logs, incidents, changes and topologies into a central IT data store. See service health and enable best-in-class root cause isolation via auto-generated dynamic business service models. Improve signal-to-noise ratio with AI event suppression, de-duplication, and correlation to create actionable situations. Gain immediate root cause isolation through AI probability assignments to causal nodes using data and service models. Prevent issues before they occur with Business Service Health monitoring and AI outage prediction. Troubleshoot rapidly with log enrichment and analytics. Easily request and execute automations from BMC or 3rd party tools.

Rookout is a live data collection and debugging platform, which allows software engineers to understand and debug any application no matter where it’s running - from monoliths to cloud native applications. Rookout empowers engineers to reduce debugging and logging time by 80%, solving customer issues 5x faster. With the use of Non-Breaking Breakpoints, software engineers get the data they need instantly, without additional coding, restarts, or redeployment of their application required.With Rookout, developers are able to understand any piece of code. Being able to extract the data you need, from any line of code, allows devs to understand their code and makes collaboration and handoffs easier.

Collect, transform, and route all your logs and metrics with one simple tool. Built in Rust, Vector is blistering fast, memory efficient, and designed to handle the most demanding workloads. Vector strives to be the only tool you need to get observability data from A to B, deploying as a daemon, sidecar, or aggregator. Vector supports logs and metrics, making it easy to collect and process all your observability data. Vector doesn’t favor any specific vendor platforms and fosters a fair, open ecosystem with your best interests in mind. Lock-in free and future proof. Vector’s highly configurable transforms give you the full power of programmable runtimes. Handle complex use cases without limitation. Guarantees matter, and Vector is clear on which guarantees it provides, helping you make the appropriate trade-offs for your use case.

Fluent Bit can read from local files and network devices, and can scrape metrics in the Prometheus format from your server. All events are automatically tagged to determine filtering, routing, parsing, modification and output rules. Built-in reliability means if you hit a network or server outage you will be able to resume from where you left off without data loss. Rather than serving as a drop-in replacement, Fluent Bit enhances the observability strategy for your infrastructure by adapting and optimizing your existing logging layer, as well as metrics and traces processing. Furthermore, Fluent Bit supports a vendor-neutral approach, seamlessly integrating with other ecosystems such as Prometheus and OpenTelemetry. Trusted by major cloud providers, banks, and companies in need of a ready-to-use telemetry agent solution, Fluent Bit effectively manages diverse data sources and formats while maintaining optimal performance.

BindPlane is the only IT operations data management platform that can deliver a relationship-aware stream of metrics and logs in real time. The best way to ensure your performance monitoring platform has the most accurate data, across your entire stack, always. See everything in your stack, all in your one place. More than 150 high-fidelity technology integrations for apps, infrastructure and cloud resources—instantly connectable to your favorite monitoring tool. Find the root cause of performance issues up to 33% faster using dimensional data to understand the inter and intra relationships between different layers of your IT stack. Drive immediate insight with our best-practice-based KPIs and data visualizations. Share full-stack dashboards and standardize deployment automation using rich APIs. Improve analytics accuracy over traditional plugins with access to a continually updated library of the most popular enterprise technologies.

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

Uptycs is the first unified CNAPP and XDR platform. Reduce risk by prioritizing responses to threats, vulnerabilities, misconfigurations, sensitive data exposure, and compliance mandates. With Uptycs, you can protect your entire enterprise, from laptops and servers to public and private cloud infrastructure. The platform streamlines your response to threats and offers a single UI and data model for easy management. Uptycs ties together threat activity as it traverses on-prem and cloud boundaries, delivering a more cohesive security posture. If you're looking for a powerful security solution that eliminates silos and tool sprawl, Uptycs is the answer. Looking for acronym coverage? We have you covered, including CNAPP, CWPP, CSPM, KSPM, CIEM, CDR, and XDR. Start with your Detection Cloud, Google-like search, and the attack surface coverage you need today. Be ready for what’s next. Shift up with Uptycs.

Polar Signals cloud is an always-on, zero-instrumentation continuous profiling product that helps improve performance, understand incidents, and lower infrastructure costs. With just one command and the easiest onboarding guide you’ll ever see, you can start saving costs and optimizing performance in your infrastructure. Travel back in time to pinpoint incidents and issues. Profiling data provides unique insight and depth into what a process executed over time. Utilize profiling data collected over time to confidently and statistically identify hot paths for optimization. Many organizations have 20-30% of resources wasted with code paths that could be easily optimized. Polar Signals Cloud employs an exceptional blend of technologies, purpose-built to deliver the profiling toolset essential for today's evolving infrastructure and applications. With a zero instrumentation setup, deploy immediately and reap the benefits of actionable observability data.

AI-powered cloud observability platform. Middleware platform helps identify, understand and fix issues across your cloud infrastructure. AI will detect all the issues from infra and application and give better recommendations on fixing them. Monitor metrics, logs, and traces in real-time on the dashboard. The most efficient and faster results with the least resource usage. Bring all the metrics, logs, traces, and events to one single unified timeline. Get complete visibility into your cloud with a full-stack observability platform. Our AI-based predictive algorithms look at your data and give you suggestions on what to fix. You are the owner of your data. Control your data collection and store it on your cloud to reduce cost by 5x to 10x. Connect the dots between when the problem begins and where it ends. Fix problems before your users' report. They get an all-inclusive solution for cloud observability in a single place. And that's too cost-effective.

Get deep visibility into your cloud-native and distributed applications — from microservices to serverless architectures — and quickly identify and resolve root causes of issues. Seamlessly adopt APM to automatically identify anomalies, map service dependencies, and simplify investigations into outliers and abnormal behavior. Optimize your application code with extensive support for popular languages, OpenTelemetry, and distributed tracing. Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.

It’s easy to maximize app performance with your FREE preview trial of Prefix featuring OpenTelemetry. With the latest open-source observability protocol, OTel Prefix streamlines application development with universal telemetry data ingestion, unmatched observability, and extended language support. OTel Prefix puts the power of OpenTelemetry in the hands of developers, supercharging performance optimization for your entire DevOps team. With unmatched observability across user environments, new technologies, frameworks, and architectures, OTel Prefix simplifies every step in code development, app creation, and ongoing performance optimization for your apps and your team! With Summary Dashboards, consolidated logs, distributed tracing, smart suggestions, and the ability to jump from logs to traces (and back), Prefix puts powerful APM capabilities in the hands of developers.

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