Operations | Monitoring | ITSM | DevOps | Cloud

MetricFire

Alternatives to Datadog

Before we dive into the specifics of each alternative to Datadog, let's address the most critical point: scaling. Datadog is great for users who need to do a little bit of everything, but Datadog's biggest weakness is scaling. Datadog can do logs, APM, time series and more, but scaling time-series metrics, alerts, and servers will cause your monthly bill to escalate. The graph below shows what you pay at Datadog vs. MetricFire, a leading competitor.

How To Use Our AWS Integration

AWS is a cloud platform that is popular and widely used in many industries. They have many services such as EC2, S3, Lambda, and many more. Since AWS is so popular, being able to easily use it along with your other tools is a priority. We have an AWS integration set up with our tool so that our users have an optimal experience.

Why do you need network monitoring?

Are you tired of dealing with network issues that slow down your business operations and create headaches for your network administrators? Be sure to fix problems you could have prevented before it's too late. Say hello to Network Monitoring! Imagine having a proactive approach to network management, where you can anticipate and prevent network issues from causing costly downtime.

Snowflake Monitoring with MetricFire

In today's world, where data plays a huge role in business success, companies must manage and analyze large amounts of information. Data warehousing has become a critical part of business operations to handle this challenge. Snowflake, a top cloud data warehousing platform, provides a scalable, secure, and flexible solution to help businesses adapt to their ever-changing data needs.

Migrating Graphite to the Cloud

Are you ready to take your monitoring and analysis game to the next level? As businesses increasingly shift to the cloud, migrating Graphite metrics to the cloud has become critical to unlocking the full potential of real-time performance monitoring. In this article, we'll guide you through migrating Graphite to the cloud and show you how to make the transition as smooth as possible. So grab a cup of coffee, and let's dive in!

MetricFire - Dashboards Tutorial

In this video, we explore MetricFire’s powerful dashboarding platform. Discover how to customize your dashboard to view the metrics that matter most to your business. With a variety of visualization options and an intuitive interface, creating and editing charts, tables, and graphs has never been easier. Share your dashboard with your team and keep everyone on the same page. Join MetricFire and start tracking your business metrics today.

Anomaly Detection Using OSquery and Grafana

Detecting unauthorized usage and malicious applications in an instance involves analyzing OS and application logs. Doing this manually is a herculean effort because of the number of logs and the patterns one has to look for. Having a tool that can provide an aggregated view of your instance and the ability to analyze them easily can greatly reduce manual effort.

How Much Should Your Observability Stack Cost?

Observability is critical to any software development. It is a term that describes the ability to monitor the performance and health of applications, services, and infrastructure. Observability aims to quickly identify and troubleshoot problems before they become full-blown incidents that can lead to costly downtime. But how much should you invest in an observability stack? Regarding the cost of your observability stack, there is no one-size-fits-all answer.

Infrastructure Monitoring with Graphite

Monitoring infrastructure is an essential process for any organization. It is crucial to have visibility into the operations of your systems to detect and resolve any issues that may arise. It ensures the performance, accessibility, and security of your systems and applications. Fortunately, various tools, notably the open-source monitoring system Graphite, can assist with this.

AI Monitoring with MetricFire

Artificial Intelligence (AI) has become a buzzword in recent years. From chatbots to self-driving cars, AI has transformed how we live, work, and interact with the world around us. AI technology has been deployed across various sectors, including healthcare, finance, manufacturing, and more, to improve efficiency, accuracy, and decision-making capabilities. However, as AI systems become more complex, monitoring them to ensure optimal performance and prevent issues or errors becomes crucial.