To integrate Amazon Kinesis and Amazon ELB with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Kinesis and Amazon ELB and how that can support your monitoring system.
Amazon Kinesis is the company’s real-time streaming data analysis platform. It provides powerful insights on video, data, audio, and other streams.
This data platform is a foundational component of data processing for machine learning, artificial intelligence, IoT telemetry, and more. With Amazon Kinesis, you have access to fully managed infrastructure to process all your streaming needs with low latency and little downtime.
It also easily connects to third-party databases and tools, like MetricFire, SQL, and Amazon Web Services (AWS) data stores.
No matter how much data you’re inputting, Amazon Kinesis easily queries and analyzes it to create flawless video, deep reporting, and even automation through Amazon S3 buckets, Redshift, Splunk, and other AWS services.
All data streams are securely encrypted and create a lot of use-cases. These proactive cognitive solutions create innovative new ways to interact with your data stores.
But why do you need it?
Amazon Kinesis gives businesses real-time access to all the necessary data for their businesses. It's an intuitive interface with visual access to all required information.
Leveraging real-time application monitoring is useful for fraud detection, tracking leaderboards, and quickly identifying issues.
Netflix uses Amazon Kinesis to keep its video streams healthy while also monitoring social media. The use cases are endless.
MetricFire easily connects to many different data sources, including Amazon Kinesis. 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 block store is doing something it shouldn't. First, you’ll need to download the Amazon AWS CloudWatch add-on from Hosted Graphite and connect your accounts.
From there, we have a comprehensive guide on how to link your accounts and set them up to automatically exchange data between both platforms.
Amazon Elastic Load Balancing is a tool that automatically distributes incoming application traffic across multiple targets, including Amazon EC2 instances, containers, virtual appliances, Lambda functions, and IP addresses. Your application traffic can be handled by a single availability zone or across multiple zones.
There are four types of load balancers available with Amazon Elastic Load Balancing:
Amazon Elastic Load Balancing monitors your applications' health and performance in real-time with Amazon CloudWatch metrics, logging, and request tracing. These monitoring tools help you analyze your applications' behavior, uncover issues, and identify performance bottlenecks in your application stack. By using Elastic Load Balancing, you can also ensure compliance with application Service Level Agreements (SLAs).
With Metricfire, you can turbocharge your Amazon Elastic Load Balancing monitoring services. By integrating Amazon CloudWatch with the Metricfire platform, you can display your 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 load balancing is doing something it shouldn't.
To integrate Amazon Kinesis and Amazon ELB with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon Kinesis and Amazon ELB and get Amazon Kinesis and Amazon ELB interacting with your MetricFire dashboards directly.
MetricFire is a full-scale platform that offers infrastructure, system, and application monitoring using a suite of open-source monitoring tools. The platform allows you to use either Prometheus- or Graphite-as-a-Service and have your metrics displayed on aesthetically-pleasing Grafana dashboards.
MetricFire offers its users a complete ecosystem of end-to-end infrastructure monitoring, which is made up of three of the most popular open-source monitoring software services: Prometheus, Graphite, and Grafana. As well, plugins for a number of 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, we also do application monitoring and business intelligence.
Through this hosted environment, MetricFire works to boost the unique features of the open source projects to give you more functionality than the original products. Below are some of the MetricFire features at a glance:
Cloud and on Premise Monitoring
Hosted Prometheus
Hosted Graphite
Grafana Dashboards
Whether to use Prometheus or Graphite is a great question. We’ve looked deeper into this decision in our blog article, Prometheus or Graphite. While Prometheus is a newer software that has a multidimensional data structure, Graphite is robust and sufficient. 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:
No vendor lock-ins
MetricFire allows you to request for a full export at any time, because you will always own the data you input. You get all the benefits of an open-source tool with the stability and security of a SaaS tool.
Easy Budgeting
A structured pricing model allows you to save time and work within your budget. The predictability and transparent pricing allows you to keep your costs in check and plan for the future.
Transparency
MetricFire works transparently on all aspects of their operations of SaaS system monitoring. You can see their own internal system metrics at their public status page.
Robust Support
Technical support is provided by engineers for engineers, so you can expect detailed and relevant answers to your queries.