Best Network Management Software for MongoDB

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.

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.

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.

Pliant offers a robust solution for IT Process Automation that simplifies, enhances, and secures the way teams create and implement automation. By minimizing human errors, ensuring compliance, and boosting overall efficiency, Pliant serves as an invaluable resource. Users can easily incorporate existing automation or develop new workflows through a unified orchestration interface. The platform provides reliable governance that maintains compliance through practical, built-in features. By abstracting thousands of vendor APIs, Pliant creates intelligent action blocks that empower users to simply drag and drop, eliminating the need for repetitive coding. Citizen developers can seamlessly construct effective and uniform automation across various platforms, services, and applications within minutes, thereby maximizing the value of their entire technology ecosystem from a single interface. Furthermore, with the capability to integrate new APIs in just 15 business days, Pliant ensures that any non-standard requirements will be addressed in a leading timeframe, keeping your automation capabilities up to date. This efficiency allows teams to remain agile and responsive in a rapidly changing technological landscape.

Better Stack brings all your observability needs under one roof to help you build and ship more reliable software, faster. Handle on-call scheduling, get clear, actionable alerts, and resolve issues quickly – all from a single tool that covers incident response, uptime checks, status pages, log management, and infrastructure monitoring. Designed to scale with your team, Better Stack unifies your alerting and monitoring workflows into a clean, powerful interface that boosts visibility and shortens response times. Key capabilities include an OpenTelemetry-native Kubernetes collector powered by eBPF, instant alerting, and dashboards built for collaboration. Powered by ClickHouse, Better Stack enables rapid-fire queries and seamless ingestion of massive, high-cardinality datasets. It turns your logs into structured, searchable data, giving you the ability to query everything using SQL – just like a single, unified database. With 100+ integrations, it fits right into your existing workflow, no extra effort needed.

Checkmk is an IT monitoring system that allows system administrators, IT managers and DevOps teams, to quickly identify and resolve issues across their entire IT infrastructure (servers and applications, networks, storage and databases, containers, etc. Checkmk is used daily by more than 2,000 commercial customers worldwide and many other open-source users. Key product features * Service state monitoring with nearly 2,000 checks 'outside the box' * Event-based and log-based monitoring * Metrics, dynamic Graphing, and Long-Term Storage * Comprehensive reporting incl. Accessibility and SLAs * Flexible notifications and automated alert handling * Monitoring business processes and complex systems * Software and hardware inventory * Graphical, rule-based configuration and automated service discovery These are the top use cases * Server Monitoring * Network Monitoring * Application Monitoring * Database Monitoring * Storage Monitoring * Cloud Monitoring * Container Monitoring

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.

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.

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.

NetWatch.ai provides an all-encompassing, AI-powered monitoring and security platform aimed at unifying disparate tools into a cohesive solution tailored for contemporary IT settings. The platform features three main product categories: NetWatch OPS, which delivers real-time monitoring, proactive alerts, and efficient resource management for servers and networks; Secure OPS, a hybrid SIEM that facilitates comprehensive security oversight and compliance for both cloud-based and on-premises systems; and AI OPS, which harnesses machine learning to foresee potential issues, automate resolution processes, and enhance operational efficacy. A unique “AI System Administrator” functions as a virtual operator that oversees customer infrastructures, integrates seamlessly through API with existing workflows, and provides thorough visibility and automation. Additionally, for organizations in need of expert support, NetWatch.ai offers Hive OPS SOC, a tiered Security Operations Center service that includes round-the-clock monitoring, incident response, and various other critical services. This integrated approach not only simplifies management but also significantly strengthens the overall security posture of businesses in an increasingly complex digital landscape.

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.

Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.