Best Observability Tools for Apache Kafka

New Relic equips businesses with advanced observability tools that offer unparalleled insights throughout your technology ecosystem. Our AI-enhanced, integrated data platform consolidates telemetry from the user interface to the backend infrastructure, allowing for immediate insights and proactive problem-solving. Featuring sophisticated capabilities such as automated notifications, personalized dashboards, and comprehensive analysis of your entire stack, New Relic enables you to enhance performance, minimize outages, and create exceptional digital experiences. By streamlining large-scale observability, New Relic transforms your system’s data into a valuable strategic resource that fosters operational excellence and innovation. Begin your journey toward enhanced observability today.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

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. To get started, InfluxData offers free training through InfluxDB University.

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.

Gather, transform, and direct all your logs and metrics with a single, user-friendly tool. Developed in Rust, Vector boasts impressive speed, efficient memory utilization, and is crafted to manage even the most intensive workloads. The aim of Vector is to serve as your all-in-one solution for transferring observability data from one point to another, available for deployment as a daemon, sidecar, or aggregator. With support for both logs and metrics, Vector simplifies the process of collecting and processing all your observability information. It maintains neutrality towards specific vendor platforms, promoting a balanced and open ecosystem that prioritizes your needs. Free from vendor lock-in and designed to be resilient for the future, Vector’s highly customizable transformations empower you with the full capabilities of programmable runtimes. This allows you to tackle intricate scenarios without restrictions. Understanding the importance of guarantees, Vector explicitly outlines the assurances it offers, enabling you to make informed decisions tailored to your specific requirements. In this way, Vector not only facilitates data management but also ensures peace of mind in your operational choices.

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

Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://sourceforge.net/projects/prometheus.mirror/

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.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

ElastiFlow stands out as a comprehensive solution for network observability tailored for contemporary data platforms, delivering exceptional insights across various scales. This powerful tool enables organizations to attain remarkable levels of network performance, reliability, and security. ElastiFlow offers detailed analytics on network traffic flows, capturing critical data such as source and destination IP addresses, ports, protocols, and the volume of transmitted data. Such detailed information equips network administrators with the ability to thoroughly assess network performance and swiftly identify potential problems. The tool proves invaluable for diagnosing and resolving network challenges, including congestion, elevated latency, or packet loss. By scrutinizing network traffic patterns, administrators can accurately determine the root cause of issues and implement effective solutions. Utilizing ElastiFlow not only enhances an organization's security posture but also facilitates prompt detection and response to threats, ensuring adherence to regulatory standards. Consequently, organizations can achieve a more robust and responsive network environment, ultimately leading to improved operational efficiency and user satisfaction.

Identify and resolve performance issues and errors within your microservices architecture. Establish connections between root causes by analyzing traces, logs, and metrics. Reduce your costs associated with OpenTelemetry traces through Aspecto's integrated remote sampling feature. The way OTel data is visualized plays a crucial role in enhancing your troubleshooting efficiency. Transition seamlessly from a broad overview to intricate details using top-tier visualization tools. Link logs directly to their corresponding traces effortlessly, maintaining context to expedite issue resolution. Utilize filters, free-text searches, and grouping options to navigate your trace data swiftly and accurately locate the source of the problem. Optimize expenses by sampling only essential data, allowing for trace sampling based on programming languages, libraries, specific routes, and error occurrences. Implement data privacy measures to obscure sensitive information within traces, specific routes, or other critical areas. Moreover, integrate your everyday tools with your operational workflow, including logs, error monitoring, and external event APIs, to create a cohesive and efficient system for managing and troubleshooting issues. This holistic approach not only improves visibility but also empowers teams to tackle problems proactively.

OpsVerse's ObserveNow is an all-in-one observability platform that seamlessly combines logs, metrics, distributed traces, and application performance monitoring into one cohesive service. Leveraging open-source technologies, ObserveNow facilitates quick implementation, enabling users to monitor their infrastructure in mere minutes without requiring extensive engineering resources. It is adaptable for deployment in various settings, whether on public clouds, private clouds, or on-premises environments, and it prioritizes data compliance by allowing users to keep their data securely within their own network. The platform features user-friendly pre-configured dashboards, alerts, advanced anomaly detection, and automated workflows for remediation, all designed to minimize the mean time to detect and resolve issues effectively. Furthermore, ObserveNow offers a private SaaS solution, allowing organizations to enjoy the advantages of SaaS while maintaining control over their data within their own cloud or network. This innovative platform not only enhances operational efficiency but also operates at a significantly lower cost compared to conventional observability solutions available in the market today.

LOGIQ.AI's LogFlow offers a unified management system for your observability data pipelines. As data streams are received, they are efficiently categorized and optimized to serve the needs of your business teams and knowledge workers. XOps teams can streamline their data flow management, enhancing data EPS control while also improving the quality and relevance of the data. LogFlow’s InstaStore, built on any object storage solution, provides limitless data retention and allows for on-demand data playback to any observability platform you prefer. This enables the analysis of operational metrics across various applications and infrastructure, yielding actionable insights that empower you to scale confidently while ensuring consistent high availability. By collecting, transforming, and analyzing behavioral data and usage trends from business systems, you can enhance business decisions and improve user experiences. Furthermore, in an ever-evolving threat landscape, it's essential to stay ahead; with LogFlow, you can identify and analyze threat patterns coming from diverse sources, automating both threat prevention and remediation processes effectively. This proactive approach not only strengthens security but also fosters a resilient operational environment.

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

Acceldata stands out as the sole Data Observability platform that offers total oversight of enterprise data systems, delivering extensive visibility into intricate and interconnected data architectures. It integrates signals from various workloads, as well as data quality, infrastructure, and security aspects, thereby enhancing both data processing and operational efficiency. With its automated end-to-end data quality monitoring, it effectively manages the challenges posed by rapidly changing datasets. Acceldata also provides a unified view to anticipate, detect, and resolve data-related issues in real-time. Users can monitor the flow of business data seamlessly and reveal anomalies within interconnected data pipelines, ensuring a more reliable data ecosystem. This holistic approach not only streamlines data management but also empowers organizations to make informed decisions based on accurate insights.

Visualize your microservices from your CDN to your databases, with external dependencies. Automately measure baselines and receive recommendations for SLIs or SLOs. Measure and understand the impact across microservices. Every change creates ripples in your connected system. Login API was affected by a security group's change? Last9 makes it easy for you to find the 'last change' that caused an incident. Last9 is a modern reliability platform. It leverages your existing observation tricks and allows you to build and enforce mental model on top of your data. This will help you cover infrastructure, service, product metrics with minimal effort. We love reliability and make it fun and embarrassingly simple to run systems at scale. Last9 uses the knowledge graph to automatically generate maps of all known infrastructure and service components.

Isovalent Cilium Enterprise delivers comprehensive solutions for cloud-native networking, security, and observability, leveraging the power of eBPF to enhance your cloud infrastructure. It facilitates the connection, security, and monitoring of applications across diverse multi-cluster and multi-cloud environments. This robust Container Network Interface (CNI) offers extensive scalability alongside high-performance load balancing and sophisticated network policy management. By shifting the focus of security to process behavior rather than merely packet header analysis, it redefines security protocols. Open source principles are fundamental to Isovalent's philosophy, emphasizing innovation and commitment to the values upheld by open source communities. Interested individuals can arrange a customized live demonstration with an expert in Isovalent Cilium Enterprise and consult with the sales team to evaluate a deployment tailored for enterprise needs. Additionally, users are encouraged to explore interactive labs in a sandbox setting that promote advanced application monitoring alongside features like runtime security, transparent encryption, compliance monitoring, and seamless integration with CI/CD and GitOps practices. Embracing such technologies not only enhances operational efficiency but also strengthens overall security capabilities.

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.

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.

Introducing the ultimate multicloud monitoring solution that offers real-time analytics for diverse environments, previously known as SignalFx. This platform enables monitoring across any environment using a highly scalable streaming architecture. It features open, adaptable data collection and delivers rapid visualizations of services in mere seconds. Designed specifically for dynamic and ephemeral cloud-native environments, it supports various scales including Kubernetes, containers, and serverless architectures. Users can promptly detect, visualize, and address issues as they emerge. It empowers real-time infrastructure performance monitoring at cloud scale through innovative predictive streaming analytics. With over 200 pre-built integrations for various cloud services and ready-to-use dashboards, it facilitates swift visualization of your entire operational stack. Additionally, the system can autodiscover, break down, group, and explore various clouds, services, and systems effortlessly. This comprehensive solution provides a clear understanding of how your infrastructure interacts across multiple services, availability zones, and Kubernetes clusters, enhancing operational efficiency and response times.