As the cloud era evolves rapidly, various tools to host applications continue to expand at a faster pace. Serverless computing is one of the popular methods used to host applications and that has resulted in the need to use “serverless monitoring” tools.
Most companies find it challenging to switch to the serverless infrastructure due to the lack of observability it provides.
In this post, we are going to look at the best serverless monitoring tools you can use to get insights and deeper visibility into your serverless infrastructure.
Here’s our list of the Best Serverless Monitoring Tools:
- SolarWinds AppOptics Applications Performance Monitoring – FREE TRIAL A tool that speeds up the process of detecting and resolving the root cause of application performance errors and provides full-stack visibility into your KPIs.
- Site24x7 One of the best, top-rated serverless monitoring tools featuring pre-determined scenario types.
- Datadog A popular serverless monitoring platform that offers end-to-end serverless monitoring service to identify and fix performance issues in your serverless applications.
- Paessler A tool able to monitor your entire IT infrastructure to reduce related risks involved in your serverless infrastructure.
- Epsagon An intuitive serverless monitoring tool that helps you cleverly understand your serverless functions.
- Dashbird An extremely simple user interface with a powerful alerting system and a live tailing feature to provide instant live updates.
- Thundra Α simple, easy-to-use serverless monitoring tool that can be a very good alternative to AWS X-Ray.
- IOpipe Οffers a thorough performance analysis of your serverless infrastructure and its granular behavior.
- SenseDeep Οne of the top-rated, intuitive serverless monitoring tools for AWS.
- New Relic Α modern, faster AWS observability tool used to monitor and troubleshoot Lambda.
- AWS CloudWatch Αn observability and monitoring service developed to monitor your serverless applications, optimize resource utilization, respond to performance changes faster and get a unified view into the status of serverless functions.
Why do we need “Serverless monitoring”?
Before we state the need for serverless monitoring, let us first learn what is serverless computing.
Serverless computing is an application hosting model that is fully managed by cloud providers, viz. the cloud providers will patch, scale and secure the servers rather than you. Now, serverless applications are quite difficult to monitor due to the configuration expenses of analytics solutions. Besides, there are many cloud instances to monitor at the same time.
Serverless monitoring helps your systems provide data, which you can use to understand what’s really happening with your functions. With serverless monitoring tools, organizations are able to monitor latency, costs, resource usage, invocation errors, cold starts and many other key metrics.
A good serverless monitoring tool will detect application errors in real-time, thereby directing them towards the right channel for resolution. Monitoring your serverless infrastructure is a bit challenging, as these Functions-as-a-Service environments have a restricted proprietary nature.
We recommend these top 11 best serverless monitoring tools in 2021:
Top 11 Best Serverless Monitoring Tools to use in 2021
SolarWinds AppOptics Applications Performance Monitoring (APM) speeds up the process of detecting and resolving the root cause of application performance errors. The tool provides full-stack visibility into your KPIs with AppOptics.
It can detect various metrics such as application errors, performance issues or resource allocations across a stack. This helps you reduce downtime and prevent poor end-user experiences.
- Trace transaction outliers
- Monitor transactions and crucial APM metrics
- Identify functions that are generating bottlenecks for your applications
- Can scale with your business to provide deeper visibility into all your serverless environments
- Alerts on hotspots for quick actions
- Get down-to-the-code insights into performance bottlenecks, application performance and detect where the errors occur
You can try SolarWinds AppOptics APM full-featured and free through a 30-day trial.
Site24x7 is one of the best, top-rated serverless monitoring tools featuring pre-determined scenario types. Your team managers can select their ideal scenario type to design or monitor custom events. It provides excellent accessibility as it is available to use as a user-friendly mobile application.
The only downside is that Site24x7 comes with a limited set of pre-defined plugins, and building plugins from scratch through the platform is quite a tedious task.
Site24x7 provides real-time complete visibility into the performance of your serverless platforms such as AWS Lambda, Azure Functions, and Google Cloud Functions.
- Monitor critical metrics of your serverless infrastructure including internal errors, invocations, activity, code execution time, throttles, and memory to make sure the app development process remains seamless.
- Get real-time status and performance information of your function apps via a central dashboard with a responsive widget
- Features one-click integration
- End-to-end visibility into function applications
- Provides real-time alerts to reduce error resolution time
- Has a well-optimized mobile application for convenient use
Website Link: https://www.site24x7.com/serverless-monitoring.html
Datadog is again one of the popular serverless monitoring tools that offer end-to-end serverless monitoring service to identify and fix performance issues in your serverless applications. This in turn reduces MTTR and MTTD. Datadog monitoring tool provides deeper visibility into performance metrics; logs and traces for each invocation taking place in your serverless infrastructure, thus helping your tech team develop and deploy new code without hesitance.
- Trace anytime, anywhere
- Correlate crucial business performance metrics
- Unified view into your serverless applications
- Deeper observability into your serverless infrastructure, be it functions, VMs or containers
- Optimize application performance by filtering functions that are creating cold starts, high latency, errors
- Real-time alerts on timeouts, memory, and concurrency metrics to prevent poor UX.
- Uses ML-based anomaly and forecasting monitors to reduce manual tasks of alerting
- Visualize, monitor, and analyze KPIs via customizable dashboards
Website Link: https://www.datadoghq.com/product/serverless-monitoring/
Paessler serverless monitoring tool is able to monitor your entire IT infrastructure to reduce related risks involved in your serverless infrastructure. Therefore, it also helps you reduce MTTR. The monitoring tools help you resolve issues quickly, allowing you to bypass bottlenecks quickly.
- Collect performance metrics of functions to aid your decision-making process
- With CloudWatch Sensor, you can monitor critical system settings without worrying about which OS is running
- No need to open any port when sending queries or retrieving data. Thus, it provides enhanced security. It also promptly notifies about capacity shortages or errors
- With precise tracking, you can automatically detect any fluctuations in the capacity of services
- Helps free up resources and use them for other beneficial processes
- Boost response time of applications with flexible scaling
- Correlate metrics with other monitoring data to find resolutions faster
- Automated real-time alerts
- One centralized dashboard provides a unified overview of serverless infrastructure
Website Link: https://www.paessler.com/aws-monitoring
Epsagon is an intuitive serverless monitoring tool that helps you cleverly understand your serverless functions. It features automated distributed tracing through the stack to offer a single-pane-of-glass view into your infrastructure and services with minimal code changes. Gather high-level metrics to identify costly functions and errors. Besides, you can easily filter functions based on the application, runtime, environment info or AWS region.
- GUI helps you setup functions to gather their APM and trace data
- Automatic log and payload correlation helps you detect why a function is generating errors
- Easily integrates with common logging platforms to create automated log correlation for every trace
- Automated, smart service maps can quickly identify high-traffic components and latency
- Provides an end-to-end snapshot of the topographies of your serverless applications
- Filter functions based upon payload data, custom labels, native tags, etc.
- Save queries to customizable dashboards to quickly identify errors
- Get granular alerts to determine thresholds for every trace
Website Link: https://epsagon.com/serverless-monitoring/
Dashbird comes with an extremely simple user interface, making its setup a breeze! Apart from this, Dashbird has a powerful alerting system and a live tailing feature to provide instant live updates. You can work with Dashbird without writing a single line of code. It gathers all the data from AWS X-Ray and CloudWatch, so your serverless applications do not have latency issues.
- End-to-end observability into logs, metrics, and traces through a single unified dashboard
- Valuable insights with intelligent suggestions to enhance cost, security, compliance, efficiency, and posture of applications
- Features pre-built custom filters and checks, so you can trace cold starts, timeouts, errors, anomalies, and downstream service failures from logs and metrics
- With native integrations, it can monitor multiple cloud components in AWS Cloud
Website Link: https://dashbird.io/
Thundra is a simple, easy-to-use serverless monitoring tool that can be a very good alternative to AWS X-Ray. It comes with a carefully designed dashboard featuring precise, simple diagrams. Thundra mainly focuses on Java. This monitoring tool reduces latency in your functions execution time by isolating the Lambda function and data-sending.
- No code changes
- No performance overhead
- Uses distributed tracing for full visibility
- Supports GitHub integration
- Understand state of your application with full stack trace with global as well as local variables
- Save time by re-loading code in a remote environment without rebuilding or re-deploying application
Website Link: https://www.thundra.io/
IOpipe serverless monitoring tool offers a thorough performance analysis of your serverless infrastructure and its granular behaviour. With this precise tool, you can understand what is really happening with your code as it runs, thus helping you with faster debugging and iterating. To avoid poor user experiences, IOpipe discovers errors and performance issues faster and fixes them without the need to go through log files.
- Get real-time alerts when your functions start to misbehave
- With AWS Lambda functions profile, understand what exactly your code is doing as it runs line by line
- Trace which bottlenecks are slowing down your applications
- Clean, easy-to-use interface
- Extract real-time metrics with customizable events and customizable alerts for granular error logs
- Trace and profile function and performance cold starts
- Supports Python, Node.js, Java
Website Link: https://www.iopipe.com/
SenseDeep is one of the top-rated, intuitive serverless monitoring tools for AWS. It efficiently helps you monitor and troubleshoot your serverless infrastructure with real-time innovation traces. To reduce MTTR, it provides automated notifications and alerts for application events and performance metrics. Organizations can leverage SenseDeep to monitor and analyze all microservices including all the Lambdas and Logs. It extracts insights about metrics such as cold starts, throttle, invocations, errors and cost. You will be able to drill-down events with detailed invocation traces.
- Automated error detection 24*7
- Automated alerts and notifications for Lambda metrics and application log events
- Provides Lambda-specific suggestions and ML-based best practices
- Faster log viewer provides real-time status and updates with live tail feature
Website Link: https://www.sensedeep.com/
10. New Relic
New Relic is a modern, faster AWS observability tool used to monitor and troubleshoot Lambda. It can quickly detect, monitor, visualize, troubleshoot and send alerts for all your Lambda functions. With a user-friendly UI, it can drill-down into the functions and extract Lambda-specific metrics such as error rate, throughput, invocation source data, stack traces, and so on. The New Relic Distributed Tracing feature has high cardinality; hence it can spot highly uncommon errors as well.
- Monitors and troubleshoots all your serverless functions and microservices to provide an overview through single-pane-of-glass.
- Get real-time dynamic insights across the entire stack to keep track of the stability status, even if the applications scale rapidly.
- New Relic CLI Installer and Lambda Layer feature offer rapid auto-instrument monitoring for their serverless functions with NO need to write code
- Filter metrics based upon a complex set of attributes to extract rich, specific invocation data
- Build custom alerts based upon custom invocation criteria
- Supports Python, Java, Node and does not require AWS data access
- Global technical support and solid community
- Well-organized documentation
Website Link: https://newrelic.com/products/serverless-aws-lambda
Related Post: New Relic Alternatives
11. AWS CloudWatch
AWS CloudWatch is an observability and monitoring service developed to monitor your serverless applications, optimize resource utilization, respond to performance changes faster and get a unified view into the status of serverless functions.
It gathers monitoring data through events, metrics and logs to provide an overview of AWS services, resources, and applications running on On-Prem and AWS servers. It can detect anomalous behavior in your serverless functions, send alerts, visualize logs and extract metrics at the same time. With these metrics, you can take automated actions, explore insights to smoothly run your applications and troubleshoot errors.
- Gather and store logs in real-time from AWS services, resources, and applications
- Collects default metrics from various AWS services without demanding any efforts
- Can collect custom metrics from your own apps to spot trends, troubleshoot problems, and monitor performance
- Gathers and aggregates container logs and metrics such as memory, CPU, disk, network information from every container to automatically build custom metrics for monitoring and alerting
- Gathers and aggregates Lambda logs and metrics
- Unified view with custom dashboards. Allows you to visualize your applications and cloud resources and create reusable graphs.
- Allows you to combine multiple alarms for an entire application to receive one alarm notification for all issues happening in an application
- Correlated metrics and logs and set alarms for operational issues
- Integrates with AWS IAM to control which resources and users can access your data. Thus, offers excellent security to users. CloudWatch Logs is FedRamp and PCI compliant to execute exceptional data encryption measures
Website Link: https://aws.amazon.com/cloudwatch/
Serverless architecture is a modern, effective and faster way to build applications. But, observability into the applications’ performance and operations is a bit challenging, when it comes to serverless infrastructure. This is the reason why most organizations are leveraging serverless monitoring tools to monitor and troubleshoot back-end operations of their serverless functions.
These tools are able to reap the maximum benefits out of your serverless functions.