Integrate Amazon Lambda and VictorOps

To integrate Amazon Lambda and VictorOps with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Lambda and VictorOps and how that can support your monitoring system.

Amazon Lambda is a cloud-based, fully scalable service that lets you run code without managing or provisioning servers. Amazon Lambda will run your code when you need it and only charges you when you use it. You can run virtually any code for nearly all types of backend applications and services with no administration. Amazon looks after it all for you, including code monitoring and logging, capacity provision and scaling, and operating system and server maintenance.

You can use code that responds automatically to an Amazon DynamoDB table or Amazon's Simple Storage Service (Amazon S3). You can also invoke code using API calls made using AWS SDKs or write code to respond to HTTP requests using Amazon API Gateway. Plus, you can write functions for serverless applications that you can automatically deploy using AWS CodeBuild and AWS CodePipeline. You can create backend services that take advantage of Amazon Web Services inbuilt security, scale, and performance, plus use Amazon Lambda to extend other AWS services with custom logic.

More importantly, Amazon Lambda automatically monitors your code on your behalf and reports metrics through Amazon CloudWatch. Amazon Lambda automatically tracks the number of requests, the invocations per request, and the number of errors triggered by a request. 

With MetricFire, you can turbocharge your Amazon Lambda code monitoring services. By integrating Amazon CloudWatch with the MetricFire platform, you can display your Amazon Lambda 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 you can receive alerts via email or Slack when your code is doing something it shouldn't.

Splunk On-Call (previously known as VictorOps), was created to make it easier for teams to manage their on-call resources. The moment something goes wrong, Splunk On-Call springs into action! Teams can receive context-rich notifications and collaborate to enable fast and efficient incident resolution with reduced downtime. Stakeholders can view critical incidents and the steps taken to resolve their issues.

The on-call experiences of both DevOps teams and clients become much more satisfying with Splunk On-Call. Its fast incident response features quickly deliver the right alerts to the right people reducing the time it takes to resolve incidents. You can integrate Splunk On-Call with your existing tools such as MetricFire to manage incident timelines and reporting for blameless post-incident reviews. As well as improving client incident resolution experience, Splunk On-Call's notification and incident management features reduce employee burnout. Mobile-first notifications and machine learning tools help make being on-call easy and accessible no matter where your team members are located.

Splunk On-Call comes with a range of incident analysis and reporting tools. With reports like MTTA/MTTR, Incident Frequency, and Post-Incident Review, teams can manage incident hotspots and improve incident resolution. You can monitor team and individual performance metrics, review incident frequency, and create reports for post-incident reviews.

With Metricfire, you can turbocharge your Splunk On-Call monitoring tools. By integrating Splunk On-Call 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.

To integrate Amazon Lambda and VictorOps with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon Lambda and VictorOps and get Amazon Lambda and VictorOps 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: 

Cloud Monitoring

Hosted Graphite

Dashboards

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:

Simple, low-cost pricing
A structured pricing model based on unique time series metrics allows you to work within your budget. The predictability and transparent pricing allow you to keep your costs in check and plan for the future. 1 metric is 1 metric.

Easy-to-use dashboards
Easily share your dashboards with clients for free.

Responsive alerting
Alert notification integrations PagerDuty, Slack, email, and webhooks.

Freedom of customization
Custom metrics through your code.

Fantastic customer support
Highly available support is provided by engineers for engineers to get you set up quickly.

Enterprise-ready
Dedicated clusters for users that need their own environment.