Best IT Infrastructure Monitoring Tools for Apache Kafka

Enhance your enterprise’s IT infrastructure with New Relic’s comprehensive monitoring solution. Access real-time insights into the health, performance, and availability of your entire infrastructure stack, from servers to networks. Built for large-scale operations, New Relic empowers proactive issue detection, efficient troubleshooting, and optimized resource utilization to ensure peak performance and reliability. Anticipate potential disruptions and keep your infrastructure operating seamlessly with New Relic’s enterprise-grade IT Infrastructure Monitoring solution.

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.

With more than 50,000 customer installations across the five continents, Pandora FMS is a truly all-in-one monitoring solution, covering all traditional silos for specific monitoring: servers, networks, applications, logs, synthetic/transactional, remote control, inventory, etc. Pandora FMS allows you to quickly find and solve problems. It scales them so that they can be derived either from on-premise, multi-cloud, or both. You now have the ability to use your entire IT stack and analytics to solve any problem, even those that are difficult to find. You can control and manage any technology and application with more than 500 plugins, including SAP, Oracle, Lotus or Citrix, Jboss, VMware, AWS and SQL Server.

Telegraf is an open-source server agent that helps you collect metrics from your sensors, stacks, and systems. Telegraf is a plugin-driven agent that collects and sends metrics and events from systems, databases, and IoT sensors. Telegraf is written in Go. It compiles to a single binary and has no external dependencies. It also requires very little memory. Telegraf can gather metrics from a wide variety of inputs and then write them into a wide range of outputs. It can be easily extended by being plugin-driven for both the collection and output data. It is written in Go and can be run on any system without external dependencies. It is easy to collect metrics from your endpoints with the 300+ plugins that have been created by data experts in the community.

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.

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.

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.

Open-source monitoring solutions are able to power your alerting and metrics. Prometheus stores all data in time series. These are streams of timestamped value belonging to the same metric with the same labeled dimensions. Prometheus can also generate temporary derived times series as a result of queries. Prometheus offers a functional query language called PromQL, which allows the user to select and aggregate time series data real-time. The expression result can be displayed as a graph or tabular data in Prometheus’s expression browser. External systems can also consume the HTTP API. Prometheus can be configured using command-line flags or a configuration file. The command-line flags can be used to configure immutable system parameters such as storage locations and the amount of data to be kept on disk and in memory. . Download: https://sourceforge.net/projects/prometheus.mirror/

App health is a reflection on the entire application environment, from physical infrastructure through middleware to the end user experience. Integrate health metrics across technologies. Monitor stress to detect potential problems early. Correlate performance & application health. Collaborate with other teams. To monitor your middleware platforms, you can still use the product management console. It doesn't need to be complicated. All your middleware technologies are consolidated in one interface. You can collect data without overhead. Performance can be correlated with hosts, networks and databases. Start small. Expand as you need. Our packaged solutions allow you to monitor your applications and the technologies that they run on in real time. This high-performance IDE allows you to create your own custom monitoring system.

Centreon is a global provider for business-aware IT monitoring to ensure high performance and continuous operations. The company's AIOps-ready platform, which is holistic and ready for use in today's complex hybrid cloud infrastructures, is designed to meet the needs of these distributed clouds. Centreon monitors all aspects of the IT Infrastructure, from Cloud-to Edge for a clear and comprehensive view. Centreon eliminates blind spots by monitoring all equipment, middleware, and applications that are part modern IT workflows. This includes legacy assets on-premise, private and public clouds, and all the way to edge of the network where smart devices and customers come together to create business value. Centreon is always up-to-date and can support even the most dynamic environments. It has auto-discovery capabilities that allow it to keep track of Software Defined Network (SDN), AWS or Azure cloud assets and Wi-Fi access points, as well as any other component of today’s agile IT infrastructure.

Allow everyone to view and discover streaming data. Up to 95% of productivity can be increased by sharing, documenting, and cataloging data. Next, create apps for production use cases using the data. To address privacy concerns and cover all the gaps in open source technology, apply a data-centric security approach. Secure and low-code data pipeline capabilities. All darkness is eliminated and data and apps can be viewed with unparalleled visibility. Unify your data technologies and data meshes and feel confident using open source production. Independent third-party reviews have rated Lenses the best product for real time stream analytics. We have built features to allow you to focus on what is driving value from real-time data. This was based on feedback from our community as well as thousands of engineering hours. You can deploy and run SQL-based real-time applications over any Kafka Connect, Kubernetes or Kubernetes infrastructure, including AWS EKS.

The only real-time, analytics driven multicloud monitoring solution (formerly SignalFx). Monitor any environment using a highly scalable streaming architecture. Open, flexible data collection and quick visualizations of services in seconds. This purpose is for dynamic and ephemeral cloud-native environments of any size (e.g. Kubernetes containers, serverless, container). Identify, visualize, and resolve issues immediately. Predictive streaming analytics allows you to monitor infrastructure performance at cloud scale in real-time. More than 200 pre-built cloud integrations and out-of the-box dashboards allow for quick visualization of your entire stack. Autodiscover, break down, group, and explore cloud, services, and systems. You can quickly and easily see how your infrastructure behaves in relation to different availability zones, Kubernetes Clusters, and other services.