Operations | Monitoring | ITSM | DevOps | Cloud

Before we dive into the specifics of MetricFire vs. 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: Now, let's dive into MetricFire vs. Datadog, and their key comparisons.

Each year ecommerce sites are named and shamed for failing to prepare their website for Black Friday, sacrificing sales revenue and reputation. We explain changes companies can make in advance to mitigate outages, reduce shopping cart abandonment and improve digital experience in preparation for Black Friday 2020.

It’s budgeting season for many of us. As a result, capacity planning and cost justification for hardware purchases are likely on your mind. But don’t fear, because Galileo has you covered. We’ve curated a bunch of our most popular and helpful resources for your capacity planning project, and they’re all here in one handy place.

With an ever growing list of infrastructure improvements, new features, and issues to debug, setting up your observability tools to keep up with best practices can fall down your list of priorities. There’s simply not enough time to set up new dashboards that can give you the visibility you need to be proactive with your infrastructure.

This short guide for conducting successful big data analysis will take you through a couple of the most essential tips to help you learn how to analyse data & become a better data analyst by avoiding rookie mistakes and embracing the correct mindset to get the most from your data. We’ll also cover some of ways that conducting effective data analysis can help your organisation.

The concept of a microservice perfectly fits the structure of a serverless function, which easily enables deployment and runtime isolation for different services. On the storage side, services such as DynamoDB also make it easier to have independent databases for each microservice and scale them independently (when required or desirable). Before we dive into details, please consider whether the benefits of Microservices abundantly outweigh its disadvantages for your particular project and team.

Gartner Peer Insights evaluates peer review and ratings for software and service providers. The reviews offer valuable insights for decision-makers and plays a key role in the IT buying process. Catchpoint was picked as a Gartner Peer Insights 2020 Customers’ Choice in the Network Performance Monitoring & Diagnostics (NPMD) category. Network performance monitoring and diagnostic (NPMD) tools aid in understanding network health, performance, and how it behaves in different scenarios.

This past year we’ve been hard at work building LM Logs to help ITOps and DevOps teams troubleshoot more efficiently. Today we are happy to announce that LM Logs is generally available! LM Logs is an intelligent log monitoring solution that analyzes 100% of log data and surfaces it contextually with metrics and alerts for faster troubleshooting.