# Best Container Monitoring Tools ## How Many Container Monitoring Tools Products Does G2 Track? **Total Products under this Category:** 68 ### Category Stats (Jul 2026) - **Average Rating:** 4.5/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Motadata ObserveOps (+1.28%) - Among all products in this category, Motadata ObserveOps recorded the largest rating increase compared to last month _Last updated: July 27, 2026_ ## How Does G2 Rank Container Monitoring Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 9,500+ Authentic Reviews - 68+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for Container Monitoring Tools ![G2 Grid® for Container Monitoring Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/container-monitoring-tools/grids.png?focus%5B%5D=27540&focus%5B%5D=146504&focus%5B%5D=3824&focus%5B%5D=2056&focus%5B%5D=139215&focus%5B%5D=20475&focus%5B%5D=42030&focus%5B%5D=16779) Highlighted products: IBM Instana, Wiz, Datadog, Dynatrace, New Relic, Red Hat OpenShift, Grafana Labs, and Coralogix. Underlying data: [Grid® JSON](https://www.g2.com/categories/container-monitoring-tools/grids.json?focus%5B%5D=ibm-instana&focus%5B%5D=wiz-wiz&focus%5B%5D=datadog&focus%5B%5D=dynatrace&focus%5B%5D=new-relic&focus%5B%5D=red-hat-red-hat-openshift&focus%5B%5D=grafana-labs&focus%5B%5D=coralogix) **Sponsored** ### Lyzr.ai Lyzr is an enterprise AI agent platform that helps organizations design, deploy, and operate autonomous and semi-autonomous agents across business functions such as customer service, sales, human resources, finance, and IT. The platform brings together an agent framework, a low-code studio, and a central control plane, so teams can move AI initiatives from pilot to full production with consistency and oversight. Organizations use it to build task-specific agents for secure knowledge assistance, retrieval-augmented search, and multi-step workflow automation, improving how work gets done while keeping data protected. Lyzr is built for enterprises that want to adopt AI without replacing the systems they already run. Its model-agnostic architecture lets teams work with their preferred language models and switch between them as needs change, with no re-architecting required. The same flexibility extends to deployment: agents can run in a private cloud, a single-tenant setup, or fully on-premise, so organizations keep control of their data and operations. Governance, observability, and auditability are part of the platform itself, which is what makes Lyzr suitable for compliance-sensitive teams and production-grade reliability. At the core of the platform is an agent framework paired with Architect and Agent Studio, which together support single-task and multi-agent workflows through code, low-code, or no-code. A central registry gives teams monitoring, access control, versioning, and traceable execution logs across every agent, regardless of who built it or on which framework. Connectors, SDKs, and APIs link agents to existing tools such as CRMs, ERPs, ITSM systems, data lakes, and messaging platforms, so agents operate inside current processes rather than replacing them. The result is a faster path from prototype to production, supported by reusable components and ready-made integrations. Built-in governance keeps regulated teams audit-ready, while simulation, evaluation workflows, and version and rollback controls reduce operational risk before and after agents go live. Because integration effort stays low and models and pipelines remain interchangeable, organizations can orchestrate the systems they already have and evolve over time without being locked into a single vendor. Typical use cases include secure knowledge assistants and retrieval-augmented search for employees and customers, customer support agents that handle classification, drafting, and resolution, and sales agents that support account research, outreach sequencing, and meeting scheduling. Lyzr also powers back-office automation across HR, finance, and IT service management, making it a practical choice for cross-team, multi-step processes that need coordination across several tools and data sources. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1138&secure%5Bchosen_at%5D=2026-07-28T17%3A45%3A05Z&secure%5Bdisplayable_resource_id%5D=1010885&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1415479&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1415479&secure%5Bresource_id%5D=1138&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fcontainer-monitoring-tools&secure%5Btoken%5D=3ee11a4d60d6db375f937462db1a58b0ef38ce3c031da2e79cd1d71ec62894f1&secure%5Burl%5D=https%3A%2F%2Fwww.lyzr.ai%2Fbook-demo%2F%3Futm_source%3DG2&secure%5Burl_type%5D=custom_url) [ IBM Instana ](https://www.g2.com/products/ibm-instana/reviews) By [IBM](https://www.g2.com/sellers/ibm) [ 4.4/5(480) ](https://www.g2.com/products/ibm-instana/reviews) What do users say? Users consistently praise IBM Instana for its real-time monitoring and automatic service discovery, which significantly reduce setup time and enhance visibility into complex environments. The tool's a Pros and Cons [ Ease of Use (126) ](https://www.g2.com/products/ibm-instana/reviews?qs=pros-and-cons)[ Expensive (43) ](https://www.g2.com/products/ibm-instana/reviews?qs=pros-and-cons) [ Wiz ](https://www.g2.com/products/wiz-wiz/reviews) By [Wiz](https://www.g2.com/sellers/wiz-76a0133b-42e5-454e-b5da-860e503471db) [ 4.7/5(832) ](https://www.g2.com/products/wiz-wiz/reviews) What do users say? Users consistently praise Wiz for its agentless deployment and clear visibility into cloud security risks, which streamline security operations and enhance prioritization of vulnerabilities. The intui Pros and Cons [ Features (110) ](https://www.g2.com/products/wiz-wiz/reviews?qs=pros-and-cons)[ Learning Curve (34) ](https://www.g2.com/products/wiz-wiz/reviews?qs=pros-and-cons) [ Datadog ](https://www.g2.com/products/datadog/reviews) By [Datadog](https://www.g2.com/sellers/datadog) [ 4.4/5(726) ](https://www.g2.com/products/datadog/reviews) What do users say? Users consistently praise real-time monitoring and the intuitive dashboards that simplify tracking application performance and infrastructure health. The platform's ability to consolidate logs, metric Pros and Cons [ Ease of Use (145) ](https://www.g2.com/products/datadog/reviews?qs=pros-and-cons)[ Expensive (92) ](https://www.g2.com/products/datadog/reviews?qs=pros-and-cons) [ Dynatrace ](https://www.g2.com/products/dynatrace/reviews) By [Dynatrace](https://www.g2.com/sellers/dynatrace) [ 4.5/5(1,366) ](https://www.g2.com/products/dynatrace/reviews) What do users say? Users consistently praise Dynatrace for its AI-driven insights and ease of deployment, which streamline monitoring and troubleshooting across complex environments. The platform's ability to provide co Pros and Cons [ Ease of Use (84) ](https://www.g2.com/products/dynatrace/reviews?qs=pros-and-cons)[ Learning Curve (43) ](https://www.g2.com/products/dynatrace/reviews?qs=pros-and-cons) [ Red Hat OpenShift ](https://www.g2.com/products/red-hat-red-hat-openshift/reviews) By [Red Hat](https://www.g2.com/sellers/red-hat) [ 4.5/5(306) ](https://www.g2.com/products/red-hat-red-hat-openshift/reviews) What do users say? Users consistently praise the ease of use and intuitive interface of Red Hat OpenShift, highlighting its ability to simplify complex Kubernetes deployments and enhance developer workflows. The platfor Pros and Cons [ Ease of Use (36) ](https://www.g2.com/products/red-hat-red-hat-openshift/reviews?qs=pros-and-cons)[ Learning Curve (25) ](https://www.g2.com/products/red-hat-red-hat-openshift/reviews?qs=pros-and-cons) [ New Relic ](https://www.g2.com/products/new-relic/reviews) By [New Relic](https://www.g2.com/sellers/new-relic) [ 4.4/5(586) ](https://www.g2.com/products/new-relic/reviews) What do users say? Users consistently praise New Relic for its real-time insights and comprehensive observability, which streamline monitoring across applications and infrastructure. The intuitive dashboards and seamles Pros and Cons [ Ease of Use (150) ](https://www.g2.com/products/new-relic/reviews?qs=pros-and-cons)[ Expensive (83) ](https://www.g2.com/products/new-relic/reviews?qs=pros-and-cons) [ Grafana Labs ](https://www.g2.com/products/grafana-labs/reviews) By [Grafana Labs](https://www.g2.com/sellers/grafana-labs) [ 4.5/5(161) ](https://www.g2.com/products/grafana-labs/reviews) What do users say? Users consistently praise the customizable dashboards and intuitive interface of Grafana Labs, highlighting its ability to visualize complex data from various sources effectively. The platform's flexi Pros and Cons [ Data Visualization (18) ](https://www.g2.com/products/grafana-labs/reviews?qs=pros-and-cons)[ Learning Curve (16) ](https://www.g2.com/products/grafana-labs/reviews?qs=pros-and-cons) [ Coralogix ](https://www.g2.com/products/coralogix/reviews) By [Coralogix](https://www.g2.com/sellers/coralogix) [ 4.6/5(343) ](https://www.g2.com/products/coralogix/reviews) What do users say? Users consistently praise the user-friendly interface and excellent customer support of Coralogix, which streamline the process of log management and monitoring. The platform's ability to provide real Pros and Cons [ Ease of Use (82) ](https://www.g2.com/products/coralogix/reviews?qs=pros-and-cons)[ Learning Curve (25) ](https://www.g2.com/products/coralogix/reviews?qs=pros-and-cons) [ Dash0 ](https://www.g2.com/products/dash0/reviews) By [Dash0](https://www.g2.com/sellers/dash0-d8c455c3-cd78-4a96-904e-add5fd91946b) [ 4.8/5(43) ](https://www.g2.com/products/dash0/reviews) What do users say? Users consistently praise Dash0 for its ease of use and responsive support, highlighting how the platform's OpenTelemetry integration simplifies setup and data management. The intuitive interface allo Pros and Cons [ Ease of Use (30) ](https://www.g2.com/products/dash0/reviews?qs=pros-and-cons)[ Limited Features (10) ](https://www.g2.com/products/dash0/reviews?qs=pros-and-cons) [ Komodor ](https://www.g2.com/products/komodor-2025-12-08/reviews) By [Komodor](https://www.g2.com/sellers/komodor) [ 4.4/5(36) ](https://www.g2.com/products/komodor-2025-12-08/reviews) What do users say? Users consistently praise Komodor for its intuitive interface and real-time visibility into Kubernetes clusters, which simplifies monitoring and troubleshooting. The platform's ability to consolidate Pros and Cons [ Ease of Use (22) ](https://www.g2.com/products/komodor-2025-12-08/reviews?qs=pros-and-cons)[ Expensive (4) ](https://www.g2.com/products/komodor-2025-12-08/reviews?qs=pros-and-cons) [ Checkmk ](https://www.g2.com/products/checkmk/reviews) By [Checkmk](https://www.g2.com/sellers/checkmk) [ 4.7/5(305) ](https://www.g2.com/products/checkmk/reviews) What do users say? Users consistently praise Checkmk for its flexibility and ease of use, allowing for comprehensive monitoring across various IT infrastructures. The ability to create custom checks and dashboards enhan Pros and Cons [ Ease of Use (26) ](https://www.g2.com/products/checkmk/reviews?qs=pros-and-cons)[ Learning Curve (17) ](https://www.g2.com/products/checkmk/reviews?qs=pros-and-cons) [ SentinelOne Singularity... ](https://www.g2.com/products/sentinelone-singularity-cloud-security/reviews) By [SentinelOne](https://www.g2.com/sellers/sentinelone) [ 4.9/5(122) ](https://www.g2.com/products/sentinelone-singularity-cloud-security/reviews) What do users say? Users consistently praise the product for its ease of use and real-time visibility across cloud environments, which simplifies security management. The platform's automated threat detection and contex Pros and Cons [ Security (27) ](https://www.g2.com/products/sentinelone-singularity-cloud-security/reviews?qs=pros-and-cons)[ Complexity (5) ](https://www.g2.com/products/sentinelone-singularity-cloud-security/reviews?qs=pros-and-cons) [ SolarWinds Observability ](https://www.g2.com/products/solarwinds-worldwide-llc-solarwinds-observability/reviews) By [SolarWinds Worldwide LLC](https://www.g2.com/sellers/solarwinds-worldwide-llc) [ 4.3/5(862) ](https://www.g2.com/products/solarwinds-worldwide-llc-solarwinds-observability/reviews) What do users say? Users consistently praise the unified visibility SolarWinds Observability provides across infrastructure, applications, and networks, which simplifies monitoring and enhances troubleshooting efficienc Pros and Cons [ Ease of Use (21) ](https://www.g2.com/products/solarwinds-worldwide-llc-solarwinds-observability/reviews?qs=pros-and-cons)[ Learning Curve (13) ](https://www.g2.com/products/solarwinds-worldwide-llc-solarwinds-observability/reviews?qs=pros-and-cons) [ IBM Turbonomic ](https://www.g2.com/products/ibm-turbonomic/reviews) By [IBM](https://www.g2.com/sellers/ibm) [ 4.4/5(310) ](https://www.g2.com/products/ibm-turbonomic/reviews) What do users say? Users consistently praise IBM Turbonomic for its automated resource optimization and real-time insights, which help maintain application performance while reducing cloud costs. The platform's ability Pros and Cons [ Cost Optimization (41) ](https://www.g2.com/products/ibm-turbonomic/reviews?qs=pros-and-cons)[ Complexity (32) ](https://www.g2.com/products/ibm-turbonomic/reviews?qs=pros-and-cons) [ Netdata ](https://www.g2.com/products/netdata/reviews) By [Netdata](https://www.g2.com/sellers/netdata) [ 4.6/5(54) ](https://www.g2.com/products/netdata/reviews) What do users say? Users consistently praise Netdata for its ease of use and real-time monitoring capabilities, allowing for quick setup and immediate insights into system performance. The intuitive dashboards and compr Pros and Cons [ Ease of Use (24) ](https://www.g2.com/products/netdata/reviews?qs=pros-and-cons)[ Missing Features (9) ](https://www.g2.com/products/netdata/reviews?qs=pros-and-cons) - ‹ Prev‹ Prev - 1 - [2](/categories/container-monitoring-tools?order=g2_score&page=2#product-list) - [3](/categories/container-monitoring-tools?order=g2_score&page=3#product-list) - [4](/categories/container-monitoring-tools?order=g2_score&page=4#product-list) - [5](/categories/container-monitoring-tools?order=g2_score&page=5#product-list) - [Next ›Next ›](/categories/container-monitoring-tools?order=g2_score&page=2#product-list) Spotlight Categories [Demo Automation Software](https://www.g2.com/categories/demo-automation) [Knowledge Base Software](https://www.g2.com/categories/knowledge-base-software) [User Research Tools](https://www.g2.com/categories/user-research) [Managed Detection and Response (MDR) Software](https://www.g2.com/categories/managed-detection-and-response-mdr) [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm) Similar Categories - [Container Engine](/categories/container-engine) - [Container Management](/categories/container-management) - [Container Networking](/categories/container-networking) - [Container Orchestration](/categories/container-orchestration) - [Container Registry](/categories/container-registry) - [Enterprise Kubernetes Management](/categories/enterprise-kubernetes-management) - [Runtime](/categories/runtime) - [Service Discovery](/categories/service-discovery) [Browse Container Monitoring Themes](/categories/container-monitoring-tools/themes) ![Adam Crivello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Adam Crivello") AC Researched and written by [Adam Crivello](https://research.g2.com/insights/author/adam-crivello) Updated October 3, 2024 Container monitoring tools track container performance, collects event data, and measures the effects of container-sharing resources. Monitoring practices can be proactive, reactive, or adaptive. Proactive monitoring sets protocols to prevent container failure. Reactive monitoring alerts users by raising events when containers fail. Adaptive monitoring continually assesses container performance and impacts from new components. Companies use these tools to prevent large-scale failures and understand what caused individual events. They also help to optimize software-defined networks and resource allocation. In reality, container monitoring is essentially [application performance monitoring (APM) software](https://www.g2.com/categories/application-performance-monitoring-apm) for container applications and their networks. They can exist independently or function alongside software types such as [container management software](https://www.g2.com/categories/container-management) and [container networking software](https://www.g2.com/categories/container-networking) solutions. To qualify for inclusion in the Container Monitoring category, a product must: - Track container application and network performance - Track resource usage - Alert users when container failure occurs - Log events for future analysis Top Tools at a Glance | | Zero-config Kubernetes observability with auto-discovery | User Review "Comprehensive Monitoring, Steep Learning Curve" | | | Agentless container vulnerability prioritization with toxic-combination context | User Review "Unmatched Security Insights, Excellent Reporting, and Strong Post-Sales Support" | | | Full-stack container observability with unified APM | User Review "Faster incident detection and root-cause analysis, leading to better customer experience." | | | AI-driven root cause analysis across containerized stacks | User Review "Comprehensive Observability, Excellent AI, but Complex Pricing" | | | Kubernetes cluster observability with enterprise-grade security | User Review "Enterprise-Ready Kubernetes Made Easy with Built-In CI/CD, Security, and Observability" | | | Full-stack APM with container-native distributed tracing | User Review "New Relic User Experience Review" | | | Unified metrics, logs, and traces observability | User Review "Powerful, Flexible Observability with Grafana Labs" | | | Kubernetes-native observability with cost-tiered log retention | User Review "Reliable Log Monitoring with Room for Improvement" | | | OpenTelemetry-native Kubernetes observability with unified telemetry | User Review "Reliable OpenTelemetry Monitoring with Real-Time Metrics and Traces" | | | Kubernetes RCA with AI-assisted troubleshooting | User Review "DAP experience with Komondor" | * * * Show More * * * ## How Do You Choose the Right Container Monitoring Tools? ### What You Should Know About Container Monitoring Tools ### What are Container Monitoring Tools? Container monitoring tools monitor running containers, collect container activity logs, and analyze the data to provide observability and insights into container performance. Containers are ephemeral. It means that they are deleted once their work is complete. So it becomes necessary to continuously collect data and move it to a centralized location to ensure the data is not lost. Container monitoring solutions provide visibility and real-time insights into these highly dynamic containers. Container monitoring is not very straightforward. Container environments have multiple elements—container hosts, container engines, cluster management systems, and microservices. Failure of any of these elements can affect container performance. This inflates the number of components that container monitoring tools must track. In addition, several layers of abstraction between containers and hardware ensure they can run anywhere. While this is one of the most significant advantages containers offer, monitoring is much more difficult. Containers share resources, which makes monitoring them more tricky. Container monitoring systems can come to the rescue here as they help observe and keep track of the highly elusive containers. Container monitoring systems generally capture metrics such as CPU usage, cache memory usage, network traffic, and time-series data. The information thus collected is compared with preset thresholds to identify anomalies and alert the concerned teams. Most container monitoring tools also provide visualizations and dashboards to enable users to get insights about container health and performance easily.  #### What Types of Container Monitoring Tools Exist? The following are the different types of container monitoring tools that exist. **Open-source container monitoring solutions** Open-source container monitoring products often have a lower price point than proprietary software and may even be free. These options may be better for smaller businesses that do not need expansive, feature-rich products. One important point to note is that most open-source products have little or no support staff behind them. So buyers should ensure they have a good in-house development team when implementing one.  **Proprietary container monitoring solutions** Proprietary container monitoring software offers more powerful features and performance than open-source software. It also has a more robust support structure for implementation and maintenance. However, it can be expensive. Moreover, some features might be part of the proprietary software package, which is irrelevant to the buyer’s business. This can unnecessarily add up costs. ** ** ### What are the Common Features of Container Monitoring Tools? The following are some core features within container monitoring tools that can help users: **Dashboards and visualizations** : Container monitoring is complex. Dashboards and data visualizations present information in a highly digestible format for easy sharing, monitoring, and analysis. It can also provide insights at multiple levels of granularity, which helps the user drill down to the exact pods, containers, and clusters to identify the root cause of the issues. **Architecture display** : Container monitoring tools create a graphical representation of services, integrations, and IT infrastructure associated with a container ecosystem. This allows users quick access and the ability to browse information easily. **Anomaly detection:** Anomaly detection features let users automate systems to constantly monitor user behavior activity and compare it to benchmarked patterns. **Performance baseline:** Baselines and benchmarks are used to set a standard performance level against which the user can compare live applications and infrastructure activities. **Real-time monitoring:** Real-time monitoring automates constant monitoring processes for applications and IT infrastructure to detect anomalies in real time. **Alerting:** Alerting features notify relevant stakeholders via modes, such as emails and messages, when the performance goes below predefined thresholds. **API monitoring:** API monitoring traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering. **Configuration monitoring** : This feature allows users to monitor configuration rule sets, enforce policy measures, and document changes to maintain compliance. **Improvement suggestions:** When issues are identified, this functionality provides the user with suggestions for improvement, giving information about potential remedies or improvements to prevent slowdowns, errors, or failures. **Automation:** Automation features help scale the usage of resources. Automation also monitors operations to optimize visibility and responds in real time based on fluctuations in usage. ### What are the Benefits of Container Monitoring Tools? These are some of the benefits that container monitoring platforms provide: **Faster, proactive issue resolution:** Container monitoring tools work by collecting application metrics and dependencies. The tools use this information to set a baseline for performance metrics and help identify abnormalities. As issues arise, container monitoring solutions alert administrative staff and allow for real-time observation of application and infrastructure performance.  **Detailed visuals:** This helps the user quickly drill down to the root causes of issues presented and improves the team’s ability to quickly fix them, minimizing the impact on end-users and customers. **Improved performance:** One of the most important benefits of container monitoring tools is their ability to improve application performance. The tools provide a window into resource usage, redundancies, and inefficiencies. This helps companies evaluate their resources and apps and fine-tune them to achieve the best performance. **Safety net for change implementation:** Any changes that the development teams deploy are constantly monitored. The tools immediately detect and notify the developers of any issues or vulnerabilities, allowing teams to take quick actions to remediate the problems. ### Who Uses Container Monitoring Tools? The following personnel most commonly use container monitoring software. **IT administrators:** IT administrators use container monitoring software to monitor their container applications and ensure overall system health and performance. The software helps IT administrators detect issues, troubleshoot, balance system workloads, allocate resources efficiently, and improve the performance of running containers. **Developers:** Developers use container monitoring software to keep a pulse on their apps and ensure a consistent, quality user experience. This tool allows developers to compare performance metrics against desired benchmarks and effectively begin remediation when performance issues arise. ### What are the Alternatives to Container Monitoring Tools? Alternatives to container monitoring software that can replace this type of software, either partially or completely: [Application performance monitoring (APM) tools](https://www.g2.com/categories/application-performance-monitoring-apm) **:** Application performance monitoring solutions help users track and visualize application obstructions and help troubleshoot any future predictable issues. They also facilitate real-time insights through dashboards into application performance and trigger timely alerts for issues like a disturbance in load or response times.  [Cloud infrastructure monitoring software](https://www.g2.com/categories/cloud-infrastructure-monitoring) **:** Cloud infrastructure monitoring software allows companies to visualize and track the performance of their cloud-native applications or services. These tools aggregate real-time data to display information related to a company’s cloud-based resources. These tools can track application performance, network availability, and resource allocation, among other cloud-related factors. #### Software Related to Container Monitoring Tools Related solutions that can be used together with container monitoring tools include: [Container management software](https://www.g2.com/categories/container-management) **:** Container management software adds a level of abstraction to the container engine’s instance. It simplifies administrative processes to automate container creation, deployment, and scaling processes, saving companies time and money. [Container orchestration software](https://www.g2.com/categories/container-orchestration) **:** Container orchestration software plays a significant role in the overall container lifecycle. These tools interact with the apps running inside their respective containers. They maintain the container’s performance and allow developers to implement updates or rollbacks quickly. Container orchestration software is typically used by companies that maintain many containers. They make it easier to manage system configurations. Many of these solutions come bundled with container management tools to simplify integration, and several options exist for the user. [Container networking software](https://www.g2.com/categories/container-networking) **:** Some containers rely on other containers for data; others only hold an application's components. All containers rely on network accessibility for proper functionality. Container networking software helps users define networks and connect containers across multiple hosts. Efficiently networked containers create a decentralized architecture where parts of an application can be added or removed without affecting availability. These tools make it easier to scale apps, manage configurations, and secure application networks. [Container security software](https://www.g2.com/categories/container-security) **:** Container security software often provides several monitoring capabilities. However, these monitoring functions differ as they are specifically designed for security rather than performance. Also, monitoring will not be the product’s core functionality. These tools facilitate various security functions, from access control and user provisioning to vulnerability assessment and advanced threat protection. ### Challenges with Container Monitoring Tools Container monitoring solutions can come with their own set of challenges.  **Scalability** : Some tools are designed to monitor single applications. Others might be capable of performing real-time monitoring on multiple globally distributed applications. This should be a key consideration for adoption. There are various monitoring tools specialized for small businesses or enterprise companies. Depending on the size and scope of a company’s application portfolio, some monitoring tools might be better than others for a specific company’s needs. **Infrastructure access:** Infrastructure accessibility can be essential in diagnosing and troubleshooting issues with containerized applications. On-premises servers are easier to access but often require constant attention and have a considerable up-front cost. Cloud services, used mainly by DevOps teams, may require a high level of customizability to suit a company’s needs. This might impact a company’s direct access to logs and incident details. ### How to Buy Container Monitoring Tools #### Requirements Gathering (RFI/RFP) for Container Monitoring Tools Some important things to consider while buying a container monitoring software are the number of metrics it provides and if they are the most relevant ones for the buyer. The tool must also provide easy log management as well as alerting and visualization capabilities, with machine learning capabilities an added advantage. Many vendors also offer solutions with a large bouquet of features. Buyers must carefully evaluate the relevance of those features to their requirements before splurging more money into proprietary software. #### Compare Container Monitoring Software Products **Create a long list** Buyers need to identify features that they need from their container monitoring tools and start with a large pool of container monitoring software vendors. Buyers must then evaluate the pros and cons of each product. **Create a short list** Short lists help cross-reference the results of initial vendor evaluations with other buyer reviews on third-party review sites such as g2.com, which will help the buyer narrow in on a three to five product list. From there, buyers can compare pricing and features to determine the best fit. **Conduct demos** Companies should demo all of the products on their short list. During demos, buyers should ask specific questions about the functionalities they care about most; for example, one might ask for a demo of how the tool would behave when it detects a particular performance issue. #### Selection of Container Monitoring Tools **Choose a selection team** Regardless of a company’s size, involving the most relevant personnel is crucial during the container monitoring software selection process. The team should include relevant company stakeholders who can use the software, scrutinize it, and check whether it will meet the organization’s requirements. The individuals responsible for the day-to-day use of container monitoring tools must be a part of the selection team. IT administrators, developers, and decision makers could be the primary personas included in the group. **Negotiation** The cost of the monitoring software varies based on the features offered, the number of nodes, and users. Buyers looking to trim costs should try to negotiate down to the specific functions that matter to them to get the best price. More often than not, the price and specifications mentioned on the vendor’s pricing page can be negotiated. Vendors may be willing to offer discounts or an extra number of licenses for multi-year contracts. Negotiation on implementation, support, and other professional services are also crucial. Buyers should ensure they’ll receive adequate support to get the product up and running. **Final decision** Before deciding to purchase the software, testing it for a short period is advisable. The day-to-day users of the software are the best individuals to perform this test. They can use and analyze the software product's capabilities and offer valuable feedback. In most cases, software service providers offer a short-term product trial. If the selection team is satisfied with what the software offers, buyers can proceed with the purchase or contracting process. ### How much do Container Monitoring Tools cost? The cost of container monitoring software typically depends on the number and features required. Some even offer free trial periods to start with.  #### Return on Investment (ROI) Companies must evaluate the savings and optimization that the container monitoring software provides. This can help companies compare costs vs. quality and performance that the container monitoring platform helps achieve. ### Container Monitoring Tools Trends **Integration of artificial intelligence (AI) and machine learning (ML) with container monitoring tools:** AI- and ML-based analytics can enable predictive maintenance of containers leading to much better performance, availability, and user experience. Given the complexity of technical environments where failure at one place can lead to cascading failures, this capability can greatly prevent outages and downtimes. **DevOps** : DevOps has become an established application development and deployment methodology. Its emphasis on continuous integration makes it easy for companies to test new functionality or update applications quickly. Containerization technology is often a vital component of these systems. Companies use containers because they can provide built-in code and application components to new or existing containerized applications.