To integrate Amazon Streams and VictorOps with your monitoring system, reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Streams and VictorOps 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.
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.
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 Hosted Graphite and Dashboards-as-a-Service to visualise your metrics on aesthetic dashboards.
MetricFire offers its users a complete ecosystem of end-to-end infrastructure monitoring, which is made up of popular open-source monitoring software services: 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, but we also do application monitoring and business intelligence.
Through this hosted environment, MetricFire works to boost 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:
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.
Easily share your dashboards with clients for free.
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.
Dedicated clusters for users that need their own environment.
Why thousands of engineers choose us:
Vendor lock-in's not our thing. We’re believers in you still owning your data, so you can request a full export at any time. That means you get all the benefits of an open-source tool, but with the security and stability of a SaaS tool.
“We now have over ten times the amount of metrics we started with, and on different accounts. One of the great things about MetricFire is that scaling to support this increase has been hassle-free, requiring no additional work on our side.”
Maxime Audet, Cloud-Ops Team Lead, CoveoRead customer story
Save valuable engineering time and stick within your budget. We're known for our predictable and transparent pricing so it's easy to keeps costs under control.
“Building and managing an on-premise installation at this scale would require a lot of engineer time, especially in the first year...we use this engineering time to work on initiatives closer to our core business”
Jim Davies, Head of DevOps, MoneySuperMarket.comRead customer story
Transparency is at the root of how we operate: from pricing to postmortems we're open about how we do things. We even publish our internal system metrics to our public status page.
“There’s complete transparency with everything MetricFire do which means we can accurately predict what we’ll be spending and comfortably keep within our budget.”
Itai Yaffe, Big Data Developer, NielsenRead customer story
Our first line, technical support comes from engineers, for engineers. So you get highly detailed, expert support when you need it.
"Every time I have a question, I get an answer from support after just a couple of hours. Their technical knowledge is excellent.”
Shahar Kobrinsky, VP of Architecture and Scale, EyeviewRead customer story