Alternatives to DataBahn

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

EDR is a 24-hour job. It doesn't have be your job. EDR is one way to improve your security posture. It can be time-consuming and difficult to turn a tool into an enterprise platform. Red Canary provides industry-leading technology, backed by an experienced team that has managed hundreds of EDR instances over the years. We will work with your team to unlock instant value. While many EDR providers offer SaaS offerings, most have data collection caveats to protect their resources. Red Canary offers full visibility EDR with no on-premise deployment and long term storage. Your endpoints are where a lot of things happen. It takes significant hardware and software resources to collect, index, and store high-volume telemetry. Red Canary allows you to store unlimited telemetry data on-premises or in the cloud. It also makes it easy to access it when you need.

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.

Tenzir is a specialized data pipeline engine tailored for security teams, streamlining the processes of collecting, transforming, enriching, and routing security data throughout its entire lifecycle. It allows users to efficiently aggregate information from multiple sources, convert unstructured data into structured formats, and adjust it as necessary. By optimizing data volume and lowering costs, Tenzir also supports alignment with standardized schemas such as OCSF, ASIM, and ECS. Additionally, it guarantees compliance through features like data anonymization and enhances data by incorporating context from threats, assets, and vulnerabilities. With capabilities for real-time detection, it stores data in an efficient Parquet format within object storage systems. Users are empowered to quickly search for and retrieve essential data, as well as to reactivate dormant data into operational status. The design of Tenzir emphasizes flexibility, enabling deployment as code and seamless integration into pre-existing workflows, ultimately seeking to cut SIEM expenses while providing comprehensive control over data management. This approach not only enhances the effectiveness of security operations but also fosters a more streamlined workflow for teams dealing with complex security data.

Identity and Data Protection for AWS and Azure, Google Cloud, and Kubernetes. Sonrai's cloud security platform offers a complete risk model that includes activity and movement across cloud accounts and cloud providers. Discover all data and identity relationships between administrators, roles and compute instances. Our critical resource monitor monitors your critical data stored in object stores (e.g. AWS S3, Azure Blob), and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are maintained across multiple cloud providers and third-party data stores. All resolutions are coordinated with the relevant DevSecOps groups.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

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

Transforming data into actionable insights is made simple with Splunk, which is securely and reliably managed as a scalable service. By entrusting your IT backend to our Splunk specialists, you can concentrate on leveraging your data effectively. The infrastructure, provisioned and overseen by Splunk, offers a seamless, cloud-based data analytics solution that can be operational in as little as 48 hours. Regular software upgrades guarantee that you always benefit from the newest features and enhancements. You can quickly harness the potential of your data in just a few days, with minimal prerequisites for translating data into actionable insights. Meeting FedRAMP security standards, Splunk Cloud empowers U.S. federal agencies and their partners to make confident decisions and take decisive actions at mission speeds. Enhance productivity and gain contextual insights with the mobile applications and natural language features offered by Splunk, allowing you to extend the reach of your solutions effortlessly. Whether managing infrastructure or ensuring data compliance, Splunk Cloud is designed to scale effectively, providing you with robust solutions that adapt to your needs. Ultimately, this level of agility and efficiency can significantly enhance your organization's operational capabilities.

Splunk Observability Cloud serves as an all-encompassing platform for real-time monitoring and observability, aimed at enabling organizations to achieve complete insight into their cloud-native infrastructures, applications, and services. By merging metrics, logs, and traces into a single solution, it delivers uninterrupted end-to-end visibility across intricate architectures. The platform's robust analytics, powered by AI-driven insights and customizable dashboards, empower teams to swiftly pinpoint and address performance challenges, minimize downtime, and enhance system reliability. Supporting a diverse array of integrations, it offers real-time, high-resolution data for proactive monitoring purposes. Consequently, IT and DevOps teams can effectively identify anomalies, optimize performance, and maintain the health and efficiency of both cloud and hybrid environments, ultimately fostering greater operational excellence.

VirtualMetric is a comprehensive data monitoring solution that provides organizations with real-time insights into security, network, and server performance. Using its advanced DataStream pipeline, VirtualMetric efficiently collects and processes security logs, reducing the burden on SIEM systems by filtering irrelevant data and enabling faster threat detection. The platform supports a wide range of systems, offering automatic log discovery and transformation across environments. With features like zero data loss and compliance storage, VirtualMetric ensures that organizations can meet security and regulatory requirements while minimizing storage costs and enhancing overall IT operations.

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.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500 companies, such as United, Kroger, Philips, Truist, and many others.

Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

Apica offers a unified platform for efficient data management, addressing complexity and cost challenges. The Apica Ascent platform enables users to collect, control, store, and observe data while swiftly identifying and resolving performance issues. Key features include: *Real-time telemetry data analysis *Automated root cause analysis using machine learning *Fleet tool for automated agent management *Flow tool for AI/ML-powered pipeline optimization *Store for unlimited, cost-effective data storage *Observe for modern observability management, including MELT data handling and dashboard creation This comprehensive solution streamlines troubleshooting in complex distributed systems and integrates synthetic and real data seamlessly

Kloudfuse is an observability platform powered by AI that efficiently scales while integrating various data sources, including metrics, logs, traces, events, and monitoring of digital experiences into a cohesive observability data lake. With support for more than 700 integrations, it facilitates seamless incorporation of both agent-based and open-source data without requiring any re-instrumentation, and it accommodates open query languages such as PromQL, LogQL, TraceQL, GraphQL, and SQL, while also allowing for the creation of custom workflows through notifications and webhooks. Organizations can easily deploy Kloudfuse within their Virtual Private Cloud (VPC) through a straightforward single-command installation and manage operations centrally using a control plane. The platform automatically collects and indexes telemetry data with smart facets, which helps deliver rapid search capabilities, context-aware alerts powered by machine learning, and service level objectives (SLOs) with minimized false positives. Users benefit from comprehensive visibility across the entire stack, enabling them to trace issues from user experience metrics and session replays all the way down to backend profiling, traces, and metrics, which makes troubleshooting more efficient. This holistic approach to observability ensures that teams can quickly identify and resolve code-level issues while maintaining a strong focus on enhancing user experience.

Sumo Logic is a cloud-based solution for log management and monitoring for IT and security departments of all sizes. Integrated logs, metrics, and traces allow for faster troubleshooting. One platform. Multiple uses. You can increase your troubleshooting efficiency. Sumo Logic can help you reduce downtime, move from reactive to proactive monitoring, and use cloud-based modern analytics powered with machine learning to improve your troubleshooting. Sumo Logic Security Analytics allows you to quickly detect Indicators of Compromise, accelerate investigation, and ensure compliance. Sumo Logic's real time analytics platform allows you to make data-driven business decisions. You can also predict and analyze customer behavior. Sumo Logic's platform allows you to make data-driven business decisions and reduce the time it takes to investigate operational and security issues, so you have more time for other important activities.

Improving business outcomes involves making it easier to spot and address high-priority incidents. The WatchTower Platform serves as a comprehensive observability tool that streamlines incident resolution specifically within mainframe environments by effectively integrating and correlating events, data flows, and metrics across various IT silos. It provides a cohesive and intuitive interface for operations teams, allowing them to optimize their workflows. Leveraging established AIOps solutions, WatchTower is adept at detecting potential problems at an early stage, which aids in proactive mitigation. Additionally, it utilizes OpenTelemetry to transmit mainframe data and insights to observability tools, allowing enterprise SREs to pinpoint bottlenecks and improve operational effectiveness. By enhancing alerts with relevant context, WatchTower eliminates the necessity for logging into multiple tools to gather essential information. Its workflows expedite the processes of problem identification, investigation, and incident resolution, while also simplifying the handover and escalation of issues. With such capabilities, WatchTower not only enhances incident management but also empowers teams to proactively maintain high service availability.

Navigating performance visibility in today’s intricate IT landscapes can be quite challenging, particularly with applications that traverse traditional data centers, SaaS, and IaaS cloud setups. A conventional, siloed management approach often leads to a disjointed and incomplete understanding of performance metrics. Consequently, IT teams find themselves dedicating significant time to data analysis, frequently arriving at divergent and sometimes contradictory insights regarding the root causes of performance issues. The Riverbed Portal addresses this issue by consolidating performance telemetry, resulting in a unified and dynamic overview of performance metrics. This comprehensive perspective provides IT operations teams with a reliable single source of truth, which streamlines troubleshooting processes and delivers valuable insights for stakeholders across the organization. Ultimately, this enables IT to effectively manage and enhance applications, data, and traffic within the entire hybrid network, allowing key resources to concentrate on high-priority strategic initiatives while reducing the likelihood of performance-related disputes. By fostering a clearer understanding of performance, teams can make informed decisions that drive overall efficiency and effectiveness within the organization.

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.

Langtrace is an open-source observability solution designed to gather and evaluate traces and metrics, aiming to enhance your LLM applications. It prioritizes security with its cloud platform being SOC 2 Type II certified, ensuring your data remains highly protected. The tool is compatible with a variety of popular LLMs, frameworks, and vector databases. Additionally, Langtrace offers the option for self-hosting and adheres to the OpenTelemetry standard, allowing traces to be utilized by any observability tool of your preference and thus avoiding vendor lock-in. Gain comprehensive visibility and insights into your complete ML pipeline, whether working with a RAG or a fine-tuned model, as it effectively captures traces and logs across frameworks, vector databases, and LLM requests. Create annotated golden datasets through traced LLM interactions, which can then be leveraged for ongoing testing and improvement of your AI applications. Langtrace comes equipped with heuristic, statistical, and model-based evaluations to facilitate this enhancement process, thereby ensuring that your systems evolve alongside the latest advancements in technology. With its robust features, Langtrace empowers developers to maintain high performance and reliability in their machine learning projects.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

Eliminate delays, pinpoint inefficiencies, and troubleshoot problems effectively. Become a part of a swiftly growing network of global businesses that are realizing up to 20 times the value and return on investment by utilizing KloudMate, far exceeding other observability platforms. Effortlessly track essential metrics, relationships, and identify irregularities through alerts and tracking issues. Swiftly find critical 'break-points' in your application development process to address problems proactively. Examine service maps for each component within your application while revealing complex connections and dependencies. Monitor every request and operation to gain comprehensive insights into execution pathways and performance indicators. Regardless of whether you are operating in a multi-cloud, hybrid, or private environment, take advantage of consolidated Infrastructure monitoring features to assess metrics and extract valuable insights. Enhance your debugging accuracy and speed with a holistic view of your system, ensuring that you can detect and remedy issues more quickly. This approach allows your team to maintain high performance and reliability in your applications.

Achieve scalable visibility and robust security analytics throughout your organization. Stay one step ahead of new threats in your digital landscape through the cutting-edge machine learning and behavioral modeling capabilities offered by Secure Network Analytics (previously known as Stealthwatch). Gain insights into who is accessing your network and their activities by utilizing telemetry data from your network's infrastructure. Rapidly identify advanced threats and take swift action to mitigate them. Safeguard essential data by implementing smarter network segmentation strategies. This comprehensive solution operates without agents and can adapt as your business expands. Detect intrusions within the ever-evolving network environment with precise alerts that are enhanced with contextual information including user identity, device type, geographical location, timestamps, and application usage. Analyze encrypted traffic to uncover threats and ensure compliance, all without needing to decrypt the data. Leverage advanced analytics to swiftly identify unknown malware, insider threats such as data exfiltration, policy breaches, and other complex attacks. Additionally, retain telemetry data for extended periods to facilitate thorough forensic analysis and further strengthen your security posture.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

Tarsal's capability for infinite scalability ensures that as your organization expands, it seamlessly adapts to your needs. With Tarsal, you can effortlessly change the destination of your data; what serves as SIEM data today can transform into data lake information tomorrow, all accomplished with a single click. You can maintain your SIEM while gradually shifting analytics to a data lake without the need for any extensive overhaul. Some analytics may not be compatible with your current SIEM, but Tarsal empowers you to have data ready for queries in a data lake environment. Since your SIEM represents a significant portion of your expenses, utilizing Tarsal to transfer some of that data to your data lake can be a cost-effective strategy. Tarsal stands out as the first highly scalable ETL data pipeline specifically designed for security teams, allowing you to easily exfiltrate vast amounts of data in just a few clicks. With its instant normalization feature, Tarsal enables you to route data efficiently to any destination of your choice, making data management simpler and more effective than ever. This flexibility allows organizations to maximize their resources while enhancing their data handling capabilities.

Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.

OpenTelemetry provides high-quality, widely accessible, and portable telemetry for enhanced observability. It consists of a suite of tools, APIs, and SDKs designed to help you instrument, generate, collect, and export telemetry data, including metrics, logs, and traces, which are essential for evaluating your software's performance and behavior. This framework is available in multiple programming languages, making it versatile and suitable for diverse applications. You can effortlessly create and gather telemetry data from your software and services, subsequently forwarding it to various analytical tools for deeper insights. OpenTelemetry seamlessly integrates with well-known libraries and frameworks like Spring, ASP.NET Core, and Express, among others. The process of installation and integration is streamlined, often requiring just a few lines of code to get started. As a completely free and open-source solution, OpenTelemetry enjoys widespread adoption and support from major players in the observability industry, ensuring a robust community and continual improvements. This makes it an appealing choice for developers seeking to enhance their software monitoring capabilities.

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.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

Maximizing your application's performance is a breeze with the FREE trial of Prefix, which incorporates OpenTelemetry. This state-of-the-art open-source observability protocol allows OTel Prefix to enhance application development through seamless ingestion of universal telemetry data, unparalleled observability, and extensive language support. By empowering developers with the capabilities of OpenTelemetry, OTel Prefix propels performance optimization efforts for your entire DevOps team. With exceptional visibility into user environments, new technologies, frameworks, and architectures, OTel Prefix streamlines every phase of code development, app creation, and ongoing performance improvements. Featuring Summary Dashboards, integrated logs, distributed tracing, intelligent suggestions, and the convenient ability to navigate between logs and traces, Prefix equips developers with robust APM tools that can significantly enhance their workflow. As such, utilizing OTel Prefix can lead to not only improved performance but also a more efficient development process overall.

SigNoz serves as an open-source alternative to Datadog and New Relic, providing a comprehensive solution for all your observability requirements. This all-in-one platform encompasses APM, logs, metrics, exceptions, alerts, and customizable dashboards, all enhanced by an advanced query builder. With SigNoz, there's no need to juggle multiple tools for monitoring traces, metrics, and logs. It comes equipped with impressive pre-built charts and a robust query builder that allows you to explore your data in depth. By adopting an open-source standard, users can avoid vendor lock-in and enjoy greater flexibility. You can utilize OpenTelemetry's auto-instrumentation libraries, enabling you to begin with minimal to no coding changes. OpenTelemetry stands out as a comprehensive solution for all telemetry requirements, establishing a unified standard for telemetry signals that boosts productivity and ensures consistency among teams. Users can compose queries across all telemetry signals, perform aggregates, and implement filters and formulas to gain deeper insights from their information. SigNoz leverages ClickHouse, a high-performance open-source distributed columnar database, which ensures that data ingestion and aggregation processes are remarkably fast. This makes it an ideal choice for teams looking to enhance their observability practices without compromising on performance.

When organizations choose to invest in a comprehensive observability platform that integrates data, insights, and actions throughout their IT landscape, they are able to address issues more swiftly while also removing data silos, reducing the need for resource-intensive war rooms, and alleviating alert fatigue. The Riverbed IQ unified observability solution empowers both business and IT to make quick and effective decisions by encapsulating expert troubleshooting knowledge, enabling less experienced staff to deliver more first-level resolutions, which in turn fosters digital innovation and enhances the overall digital experience for both customers and employees. By utilizing broad-based telemetry, organizations can attain a cohesive view of performance and insights, establishing a solid foundation of unified observability that supports the delivery of all other capabilities. Riverbed IQ’s methodology towards unified observability initiates with our full-fidelity telemetry, which spans across network and infrastructure components and incorporates metrics related to the end-user experience, ensuring a comprehensive understanding of system performance. This holistic approach not only streamlines troubleshooting but also positions organizations to respond adeptly to evolving digital demands.

OpenLIT serves as an observability tool that is fully integrated with OpenTelemetry, specifically tailored for application monitoring. It simplifies the integration of observability into AI projects, requiring only a single line of code for setup. This tool is compatible with leading LLM libraries, such as those from OpenAI and HuggingFace, making its implementation feel both easy and intuitive. Users can monitor LLM and GPU performance, along with associated costs, to optimize efficiency and scalability effectively. The platform streams data for visualization, enabling rapid decision-making and adjustments without compromising application performance. OpenLIT's user interface is designed to provide a clear view of LLM expenses, token usage, performance metrics, and user interactions. Additionally, it facilitates seamless connections to widely-used observability platforms like Datadog and Grafana Cloud for automatic data export. This comprehensive approach ensures that your applications are consistently monitored, allowing for proactive management of resources and performance. With OpenLIT, developers can focus on enhancing their AI models while the tool manages observability seamlessly.

Pydantic Logfire serves as an observability solution aimed at enhancing the monitoring of Python applications by converting logs into practical insights. It offers valuable performance metrics, tracing capabilities, and a comprehensive view of application dynamics, which encompasses request headers, bodies, and detailed execution traces. Built upon OpenTelemetry, Pydantic Logfire seamlessly integrates with widely-used libraries, ensuring user-friendliness while maintaining the adaptability of OpenTelemetry’s functionalities. Developers can enrich their applications with structured data and easily queryable Python objects, allowing them to obtain real-time insights through a variety of visualizations, dashboards, and alert systems. In addition, Logfire facilitates manual tracing, context logging, and exception handling, presenting a contemporary logging framework. This tool is specifically designed for developers in search of a streamlined and efficient observability solution, boasting ready-to-use integrations and user-centric features. Its flexibility and comprehensive capabilities make it a valuable asset for anyone looking to improve their application's monitoring strategy.

Open source continuous profiling allows you to identify and resolve your most critical performance challenges across code, infrastructure, and CI/CD pipelines. It offers the ability to tag data based on dimensions that are significant to your organization. This solution facilitates the economical and efficient storage of vast amounts of high cardinality profiling data. With FlameQL, users can execute custom queries to swiftly select and aggregate profiles, making analysis straightforward and efficient. You can thoroughly examine application performance profiles using our extensive suite of profiling tools. Gain insights into CPU and memory resource utilization at any moment, enabling you to detect performance issues before your customers notice them. The platform also consolidates profiles from various external profiling tools into a single centralized repository for easier management. Moreover, by linking to your OpenTelemetry tracing data, you can obtain request-specific or span-specific profiles, which significantly enrich other observability data such as traces and logs, ensuring a comprehensive understanding of application performance. This holistic approach fosters proactive monitoring and enhances overall system reliability.

Fluent Bit is capable of reading data from both local files and network devices, while also extracting metrics in the Prometheus format from your server environment. It automatically tags all events to facilitate filtering, routing, parsing, modification, and output rules effectively. With its built-in reliability features, you can rest assured that in the event of a network or server failure, you can seamlessly resume operations without any risk of losing data. Rather than simply acting as a direct substitute, Fluent Bit significantly enhances your observability framework by optimizing your current logging infrastructure and streamlining the processing of metrics and traces. Additionally, it adheres to a vendor-neutral philosophy, allowing for smooth integration with various ecosystems, including Prometheus and OpenTelemetry. Highly regarded by prominent cloud service providers, financial institutions, and businesses requiring a robust telemetry agent, Fluent Bit adeptly handles a variety of data formats and sources while ensuring excellent performance and reliability. This positions it as a versatile solution that can adapt to the evolving needs of modern data-driven environments.

Azure Managed Grafana offers a comprehensive, fully managed platform for monitoring and analytics needs. Backed by Grafana Enterprise, it delivers customizable and extensible data visualizations. Users can swiftly deploy Grafana dashboards with inherent high availability while managing access through Azure's security features. It supports a broad array of data sources, enabling connections to various data repositories both within Azure and beyond. By integrating charts, logs, and alerts, users can achieve a unified overview of their applications and infrastructure. Additionally, it allows for the correlation of data across different datasets, enhancing analysis capabilities. Users can easily share Grafana dashboards with colleagues and external partners, fostering collaboration in monitoring and troubleshooting solutions. This makes Azure Managed Grafana an invaluable tool for teams seeking to improve their operational efficiency and data-driven decision-making.

Safeguard your data comprehensively with a robust, enterprise-level security solution that spans multicloud, hybrid, and on-premises environments, accommodating all types of data. Enhance security measures across diverse platforms while seamlessly discovering and categorizing structured, semi-structured, and unstructured data. Assess and prioritize data risks by considering both incident context and the potential for additional capabilities. Streamline data management through a unified service or dashboard that centralizes oversight. Guard against unauthorized data exposure and prevent breaches effectively. Make data-centric security, compliance, and governance processes simpler and more efficient. Create a consolidated perspective to glean insights on vulnerable data and users, while actively managing a Zero Trust framework and enforcing relevant policies. Leverage automation and workflows to save both time and resources, and ensure support for a wide range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Address not only your current requirements but also future integrations as you evolve and expand cloud use cases, thereby enhancing your overall data security strategy. By implementing these measures, you can significantly bolster your organization’s resilience against data-related threats.

Uptycs presents the first unified CNAPP and XDR platform that enables businesses to take control of their cybersecurity. Uptycs empowers security teams with real-time decision-making driven by structured telemetry and powerful analytics. The platform is designed to provide a unified view of cloud and endpoint telemetry from a common solution, and ultimately arm modern defenders with the insights they need across their cloud-native attack surfaces. Uptycs prioritizes responses to threats, vulnerabilities, misconfigurations, sensitive data exposure, and compliance mandates across modern attack surfaces—all from a single UI and data model. This includes the ability to tie together threat activity as it traverses on-prem and cloud boundaries, delivering a more cohesive enterprise-wide security posture. With Uptycs you get a wide range of functionality, including CNAPP, CWPP, CSPM, KSPM, CIEM, CDR, and XDR. Shift up with Uptycs.

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

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.