Best Container Monitoring Tools
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 for container applications and their networks. They can exist independently or function alongside software types such as container management software and container networking software solutions.
To qualify for inclusion in the Container Monitoring category, a product must:
Best Container Monitoring Tools At A Glance
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- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Dynatrace (NYSE: DT) exists to make the world’s software work perfectly. Our unified platform combines broad and deep observability and continuous runtime application security with Davis® hypermodal A
- Software Engineer
- Senior Software Engineer
- Information Technology and Services
- Financial Services
- 69% Enterprise
- 23% Mid-Market
18,831 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Wiz transforms cloud security for customers – including 40% of the Fortune 100 – by enabling a new operating model. With Wiz, organizations can democratize security across the cloud lifecycle, empower
- CISO
- Security Engineer
- Financial Services
- Computer Software
- 55% Enterprise
- 38% Mid-Market
14,648 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- What G2 Users Think
- Seller Details
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The SaaS platform integrates and automates infra
- Software Engineer
- DevOps Engineer
- Information Technology and Services
- Computer Software
- 48% Mid-Market
- 32% Enterprise
- Reviewers like the way that Datadog provides a centralized view of their entire organizational infrastructure
- Reviewers often highlight the ability to view specific logs in realtime, and pinpoint issues that may be occurring
- Reviewers like the ability to ingest, monitor, and analyze many types of data in the platform
49,628 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- What G2 Users Think
- Seller Details
New Relic invented cloud APM for application engineers. Today it is a leader in observability and source of truth for all engineers to make decisions with data across their entire software stack and t
- Software Engineer
- Senior Software Engineer
- Information Technology and Services
- Computer Software
- 43% Mid-Market
- 30% Small-Business
- Reviewers appreciate the ability to monitor performance and reliability of all their various application with New Relic
- Reviewers mention the quantity and frequent addition of helpful features, but some noted that features feel incomplete or overwhelming
- Reviewers like the ability to easily customize alerts, and the automated alerts the tool provides
68,511 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Instana’s Enterprise Observability Platform, powered by automated Application Performance Monitoring, discovers and maps all services, infrastructure, and their inter-dependencies automatically. Insta
- Software Engineer
- System Engineer
- Information Technology and Services
- Computer Software
- 43% Mid-Market
- 40% Enterprise
711,154 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Red Hat OpenShift Container Platform is an open source, enterprise-grade Kubernetes platform for building, deploying, and managing containerized applications across on-premise, private cloud and publi
- DevOps Engineer
- Senior Software Engineer
- Information Technology and Services
- Financial Services
- 45% Enterprise
- 28% Small-Business
293,907 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
In today's digital landscape, businesses need a powerful and comprehensive Application Performance Monitoring (APM) solution to stay ahead of the curve. Introducing Rakuten SixthSense Observability -
- Information Technology and Services
- Computer Software
- 43% Mid-Market
- 40% Enterprise
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
SolarWinds® Observability is a full-stack observability solution that addresses the needs of modern organizations of all sizes by providing deep visibility into their hybrid ecosystems while affording
- Network Engineer
- Network Administrator
- Information Technology and Services
- Computer Software
- 46% Enterprise
- 37% Mid-Market
20,054 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
LogicMonitor® offers hybrid observability powered by AI. The company’s SaaS-based platform, LM Envision, enables observability across on-prem and multi-cloud environments. We provide IT and business t
- Infrastructure Manager
- Senior Systems Engineer
- Information Technology and Services
- Computer Software
- 51% Mid-Market
- 29% Enterprise
12,742 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Singularity Cloud Security is SentinelOne’s comprehensive, cloud-native application protection platform (CNAPP). It combines the best of agentless insights with AI-powered threat protection, to secure
- Information Technology and Services
- Financial Services
- 60% Mid-Market
- 31% Enterprise
54,520 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on indexing
- Software Engineer
- DevOps Engineer
- Computer Software
- Information Technology and Services
- 57% Mid-Market
- 26% Enterprise
4,068 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Sysdig Monitor radically simplifies cloud and Kubernetes monitoring with deep visibility into container and Kubernetes workloads along with a managed Prometheus service. You get immediate, granular de
- Computer Software
- Information Technology and Services
- 40% Mid-Market
- 38% Enterprise
10,189 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Microsoft Defender for Cloud is a cloud native application protection platform for multicloud and hybrid environments with comprehensive security across the full lifecycle, from development to runtime
- Saas Consultant
- Software Engineer
- Information Technology and Services
- Computer & Network Security
- 38% Mid-Market
- 34% Enterprise
14,031,499 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Grafana Labs provides an open and composable monitoring and observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are more than 3,000 Gra
- Software Engineer
- Senior Software Engineer
- Information Technology and Services
- Computer Software
- 47% Mid-Market
- 27% Small-Business
62,445 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
An open-source service monitoring system and time series database.
- DevOps Engineer
- Computer Software
- Information Technology and Services
- 41% Mid-Market
- 36% Small-Business
52,770 Twitter followers
Learn More 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: 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: 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: 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: 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: 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: 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.
