To integrate Amazon Redshift and Amazon EFS with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating Amazon Redshift and Amazon EFS and how that can support your monitoring system.
Amazon Redshift is a Data Warehouse product provided by AWS. Every interaction you have with your clients generates countless data points. With the right tools, you can harness the power of that data to optimize the customer experience.
Amazon Redshift makes setting up your data center simple. No need to invest resources in costly hardware that requires storage space. Your Amazon Redshift data center exists in the cloud - and every step is managed for you from start to finish.
You can rely on Amazon Redshift for the setup, operation, and scaling of your data warehouse. That includes specialized tasks such as provisioning capacity, monitoring, backup, software patches, and upgrading. Whether you have a few hundred gigabytes of data or more than a petabyte, Amazon Redshift is a seamless, secure solution for your data center needs.
Why Do Performance Monitoring with Amazon Redshift?
Plenty of cloud-based data services can meet basic needs, but Amazon Redshift offers something more. Users remain loyal, because Amazon Redshift can be trusted to keep data secure. Better still, it is fast and easy to use.
Amazon Redshift clients enjoy a variety of exclusive features related to cluster access and security. Application developers trust the platform because encrypted data and connections are guaranteed.
Simply create a data warehouse by launching a set of nodes, which are referred to as an Amazon Redshift cluster. Provision your cluster, then upload your data set and perform necessary data analysis queries and monitoring.
The size of the data set does not matter: Amazon Redshift is best known for its fast query performance. App developers who are familiar with SQL-based tools and business intelligence applications find it simple and efficient.
You can track the performance and overall health of your databases using the Amazon CloudWatch metrics. These are particularly helpful in monitoring CPU utilization, latency, and throughput.
MetricFire integrates seamlessly with Amazon Redshift, so you can monitor performance accurately. Sign up for the MetricFire free trial to set up your Amazon Redshift, or book a demo to learn more about the features from the MetricFire team.
Amazon Elastic File System (EFS) provides a scalable but easy-to-use elastic NFS (network file system) for AWS Cloud services and on-premises resources. It supports on-demand requirements to the petabyte scale. It is fully managed and can shrink or expand as you add and remove files. This high level of change removes the need to manage capacity to accommodate growth.
Amazon EFS provides parallel shared access to thousands of Amazon EC2 instances, allowing your applications to achieve high aggregate throughput levels and IOPS (Input/output operations per second) with consistent low latencies.
You can use Amazon EFS for almost any purpose, from small home storage to business-critical applications, including big data analytics, database backups, application development, testing, web serving, content management, media and entertainment workflows, and container storage.
You can monitor your Amazon EFS file systems using Amazon CloudWatch. Metrics include the number of client connections, the amount of data read or written, file system storage, and more. You can use your Amazon EFS console to display a series of graphs based on the raw data from Amazon CloudWatch. For more extensive monitoring, you would find MetricFire an excellent companion thanks to the more advanced features.
With Metricfire, you can turbocharge your Amazon Elastic File System 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, scraping the unwanted data. You can also establish clear rules to toss out data you no longer have, plus get custom alerts via email or Slack when your EFS files system falls out of alignment.
To integrate Amazon Redshift and Amazon EFS with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate Amazon Redshift and Amazon EFS and get Amazon Redshift and Amazon EFS 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:
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
This article discusses how one can use Osquery to detect anomalies in infrastructure. Continue Reading