Best Server Monitoring Software for GitHub

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.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

MetricFire provides cloud-based server and application monitoring which scales from hundreds of unique metrics right up to millions of metrics at the Enterprise level. With Hosted Graphite, view your metrics on beautiful dashboards in real-time with built-in alerting that integrates with your existing tools, such as Amazon Web Services, Ops Genie, Heroku, Slack, and much more. Data is displayed on dashboards with customisable metrics and alerts so that you can quickly resolve issues, track your data, and share insights with your team.

Telegraf is an open-source server agent that helps you collect metrics from your sensors, stacks, and systems. Telegraf is a plugin-driven agent that collects and sends metrics and events from systems, databases, and IoT sensors. Telegraf is written in Go. It compiles to a single binary and has no external dependencies. It also requires very little memory. Telegraf can gather metrics from a wide variety of inputs and then write them into a wide range of outputs. It can be easily extended by being plugin-driven for both the collection and output data. It is written in Go and can be run on any system without external dependencies. It is easy to collect metrics from your endpoints with the 300+ plugins that have been created by data experts in the community.

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/

Ploi is a tool that makes life easier for developers. Ploi takes the hard work out of your hands so you can concentrate on what you love: building your application.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

CloudMonitor is a service that gathers monitoring metrics for Alibaba Cloud resources as well as custom metrics tailored to your needs. This tool is designed to help you assess the availability of your services and enables you to configure alarms for specific performance indicators. With CloudMonitor, you can gain insights into the utilization of cloud resources, along with the overall health and status of your business, which empowers you to respond quickly when an alarm goes off to maintain application availability. The setup process requires no coding, allowing you to establish CloudMonitor and configure alarms easily through a user-friendly wizard in just a few steps. You have the flexibility to create alarms for various scenarios and can choose from multiple notification methods. This all-encompassing service not only tracks fundamental resources and application performance but also caters to unique business metrics, facilitating the management of cloud resources across different applications organized by groups for better oversight. Overall, CloudMonitor helps ensure that you stay informed and proactive in managing the health of your cloud infrastructure.

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.

ServicePilot aims to deliver a precise representation of IT systems and applications, focusing on aspects such as security, availability, and performance. Teams face a significant challenge in ensuring that applications operate flawlessly while maintaining high performance and security standards. This task has become increasingly difficult in the context of agile development, where changes are frequent, the pace of evolution is rapid, and the complexity of information systems architecture continues to rise. The IT landscape has transformed dramatically since the advent of various technologies: cloud computing has become commonplace, mobile devices are now incredibly powerful, the Internet of Things is expanding rapidly, and the introduction of micro-services and containers is revolutionizing application development. These shifts have created new demands, and legacy tools are struggling to keep pace, proving inadequate for modern requirements. Consequently, there is a pressing need for a new generation of monitoring solutions. Additionally, it is crucial to remember that the underlying infrastructure, network, and storage are integral components that must also receive attention, as applications depend on these elements for their functionality. Thus, a holistic approach to monitoring is essential for success in today's complex IT environment.