The demand for a complete observability solution is greater than ever thanks to the advent of distributed application architectures. At the same time, numerous fresh observability tools are regularly making their way onto the market. It has gotten difficult enough to find the appropriate tool for your use case.
To assist you in determining which observability tool best fits your use case, we’ve produced a list of 9 of the most well-liked and beneficial ones currently available.
What is the Monitoring and Observability tool
Observability gets more difficult as infrastructure becomes more complicated. The duties necessary for observability are carried out through observability tools, such as monitoring systems and apps using monitors and logs. Observability technologies enable businesses to continuously obtain insights and feedback from their systems, in contrast to individual monitoring solutions. In contrast to technologies that only focus on monitoring or logging, organizations get actionable insights into their operations faster. Organizations can use observability technologies to comprehend system behavior, providing them with the knowledge necessary to foresee system issues and prevent them before they arise.
Top 9 Best Monitoring and Observability tool sets and Suite in 2022
A comprehensive SaaS enterprise application, Dynatrace targets a wide range of monitoring requirements for massive companies. To automate processes like root cause analysis and anomaly detection, it offers an AI engine called Davis.
Additionally, Dynatrace offers a unique solution for cloud automation, application security, and infrastructure monitoring.
Datadog is intended for cloud-using business users, IT operations teams, security professionals, and developers.
You may manage logs, monitor application performance, monitor security, and do a variety of other tasks with the DataDog observability tool. DataDog enables you to: For giving complete visibility into dispersed applications.
- Track requests across distributed systems from beginning to end
- Latency percentile charts (p95, p99, etc.)
- Open-source instrumentation with smooth navigation between logs, metrics, and traces
Gartner dubbed the Appdynamics Business Observability Platform, which is a part of Cisco, a “Leader in the 2021 APM Magic Quadrant.” By visualizing every infrastructure element, the platform enables you to link app performance to customer experience and business outcomes.
In the DataOps tech stack, Appdynamics interfaces nicely with a variety of languages and frameworks, DevOps tools, cloud settings, mobile IoT, and other similar products.
Main capabilities of Appdynamics Business Observability Platform –
- To understand what went wrong and how it is influencing your important business indicators, uncover the fundamental causes of performance issues in real-time.
- Use the Smart Code Instrumentation to quickly set up the complete platform
- Identify app, code, and network security flaws in real-time
One of the first businesses in the observability space is New Relic. You may visualize, evaluate, and troubleshoot your software stack using its observability tool on a single platform. For eight well-known programming languages, it also allows auto-instrumentation.
To give you greater insights for effective troubleshooting, New Relic can link the performance of your applications with the health of your infrastructure.
Splunk is a complete observability solution that provides a variety of products, such as –
- monitoring of infrastructure – monitoring of application performance
- Monitoring of Real Users
- Artificial surveillance, and
- Management of incident response
Instead of using a sample set, Splunk enables you to collect all traces. Additionally, it offers service maps to give DevOps teams visibility into interactions, dependencies, and performance amongst various services.
Networks, servers, virtual machines (VMs), and cloud services can all be monitored using the open-source software application Zabbix. Monitoring indicators from Zabbix include CPU load, disc space usage, and network utilization. Although Windows monitoring is only possible through agents, the software is capable of keeping an eye on Hewlett Packard Unix (HP-UX), Mac OS X, Solaris, and other operating systems. Both agent-based and agentless monitoring can use it.
Zabbix works via three discovery mode options –
- Network discovery examines an IT environment regularly and logs the type, IP address, status, uptimes, and downtimes of each device.
- Based on the identified device, low-level discovery automatically generates items, triggers, and graphs. Simple Network Management Protocol (SNMP) object identifiers, Windows services, Open Database Connectivity (ODBC) SQL queries, network interfaces, and more can all be used in low-level discovery to generate metrics.
- Auto-discovery launches a Zabbix agent to begin monitoring every device it finds.
Grafana is a well-known open-source web layer for analytics and interactive visualization. For time-series data, it offers a wide range of storage backends. Data sources like Graphite, InfluxDB, ElasticSearch, Prometheus, and many others can be connected to it. It supports the Jaeger, Tempo, X-Ray, and Zipkin data sources for traces.
As an observability solution, Grafana provides plugins, dashboards, alarms, and various user-level access for governance.
Additionally, it offers two variations of its services –
The “Grafana cloud” Sending data to Grafana’s cloud dashboards is an option. Such products as Grafana Cloud Logs, Grafana Cloud Metrics, and Grafana Cloud Traces are available.
The Grafana Enterprise stack With Grafana installed within your architecture, it offers support for metrics and logs. It also includes professional help.
An open-source system monitoring and alerting toolkit called Prometheus was created at SoundCloud. Prometheus has been used by numerous businesses and organizations since its launch in 2012, and the project has a thriving developer and user community. It logs real-time measurements in a time series database with real-time alerting and customizable searches that were constructed using an HTTP pull model and supports high dimensionality.
Features of Prometheus –
- A multi-dimensional data architecture that uses key/value pairs and metric names to identify time series data.
- PromQL is a versatile query language leverage this dimensionality.
- Time series collecting occurs via a pull model over HTTP; there is no need for distributed storage; pushing time series is supported by an intermediary gateway.
- Targets are found using static configuration or service discovery
- Support for multiple graphing and dashboarding modes
Elastic Observability, which allows for observability on a search to expedite root cause investigation and increase development productivity, is based on the Elastic Stack (often referred to as the ELK Stack).
Elastic Observability delivers tools for APM, logging, and metrics and connects with hundreds of technologies. Additionally, it employs pay-as-you-go pricing, allowing you to just pay for the hardware resources utilized for data storage, searching, and analysis.
Main capabilities of Elastic Observability –
- Import all telemetry information (metrics, logs, and traces) onto a platform that is open and scalable.
- Traces can be used to find performance bottlenecks throughout the entire tech stack.
- Use searchable snapshots to get additional log, metric, and APM data.
- To handle large-scale deployments, grow both vertically (by adding more resources to each node) and horizontally (by adding additional nodes).