To integrate Amazon Streams and Logentries with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Streams and Logentries and how that can support your monitoring system.
Amazon Kinesis Data Streams (KDS) is a data streaming service that is both scalable and durable and operates in real-time. It can capture gigabytes of data-per-second from hundreds of thousands of sources, including websites, databases, social media feeds, IT logs, financial transactions, and location-tracking events. Real-time analytics tools such as dashboards, anomaly detection, and dynamic pricing are updated in milliseconds.
KDS is based around a producer/consumer model. A producer loads data records into Amazon KDS. A consumer then processes the data records from the stream. For example, a producer could load web server log data to a Kinesis data stream, where a consumer can process and analyze the log data.
You can use Kinesis Data Streams to collect log and event data from servers, desktops, and mobile devices. You can then build Kinesis Applications to process your data continuously, generate metrics, populate dashboards, and aggregate data into stores such as Amazon S3.
You can create Kinesis Applications that run real-time analytics on high-frequency event data events. For example, you could write an application to analyze sensor data collected by Kinesis Data Streams to gain insights into your sensor data.
If you collect gaming data, Kinesis Data Streams can collect data about player-game interactions and feed the data back into your gaming platform. This strategy can help you design a game that provides engaging and dynamic experiences based on players' past actions and behaviors.
With Metricfire, you can turbocharge your data stream monitoring services. By integrating Amazon CloudWatch with the Metricfire platform, you can display your KDS metrics on aesthetically pleasing dashboards. MetricFire's advanced filtering lets you choose only the data views you want to see and discard the rest. You can also set up simple rules to discard data you no longer keep, plus receive alerts via email or Slack when your data streams are doing something they shouldn't.
Logentries is a service that automatically collects and centralizes all of your log data into one secure location in any format. From there, you can search and visualize all your aggregated log data. It uses both agent-based and agentless collection of logs. If an issue occurs, Logentries shows an aggregated tail view so you can review what is happening across your logs in real-time. With Logentries, you can dramatically reduce the time you spend diagnosing and resolving issues.
Logentries is a fully scalable service that dynamically auto-scales your services environment as log volumes expand and change. By aggregating all your logs into one secure location, you can efficiently monitor and track valuable log events in real-time, without the hassle of complicated configurations.
Logentries lets you monitor and track essential server resource usages, such as CPU, memory, and network and disk usage. Plus, it aggregates all server and application logs. By aggregating all your logs in one place, you can quickly review your application performance metrics, usage trends, and application load. This strategy helps you better understand how end-users are using your applications and how their behavior might affect other performance metrics.
You can use your log data to better understand application activity from client-side front-end apps to your back-end components for fine-grained user tracking. And while Logentries offers a straightforward, real-time approach to monitoring and accessing valuable application usage data, there is an even better way to monitor your aggregated log data.
By integrating Logentries with the Metricfire platform, you can turbocharge your log monitoring services to new levels and enjoy metrics displayed on aesthetically pleasing dashboards. You can import Logentries data into Hosted Graphite using the leexportpy tool. This flexible and extensible Python application enables log search results to be easily exported to third-party services, including MetricFire.
To integrate Amazon Streams and Logentries with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon Streams and Logentries and get Amazon Streams and Logentries interacting with your MetricFire dashboards directly.
MetricFire is a full-scale platform that provides infrastructure, system, and application monitoring using a suite of open-source monitoring tools. We enable you to use Hosted Graphite and aesthetic custom dashboards to visualize your metrics so you can understand what is happening.
MetricFire offers users a complete ecosystem of end-to-end infrastructure monitoring, comprised of popular open-source monitoring software services: Graphite and popular dashboards. Plugins for many other open-source projects are preconfigured, such as StatsD, collectd, and Kubernetes. You get all these within a hosted environment as a single product. Not only does MetricFire fit well into the infrastructure monitoring use-case, such as network monitoring and server monitoring, but we also do application monitoring and business intelligence.
Through this hosted environment, MetricFire boosts the unique features of open-source projects to give you more functionality than the original products. Below are some of the MetricFire features at a glance:
The key thing to remember is that Hosted Graphite by MetricFire is more than just Graphite. Our Hosted Graphite product actually adds data dimensionality and better data storage.
The benefits of MetricFire are:
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