Operations | Monitoring | ITSM | DevOps | Cloud

As of 2024, the global serverless computing market is projected to reach a value of USD 21.9 billion, with expectations to grow to USD 44.7 billion by 2029. Around 70% of organizations using AWS have adopted at least one serverless solution. The adoption rates for Google Cloud and Azure are 60% and 49%, respectively. These numbers affirm that serverless is here to stay, and the demand for platforms to create and run applications is higher than ever. AWS Lambda is the most popular serverless platform.

We’ve talked about the importance of service catalogs — how they provide a window into the services offered by your organization, and how this is an invaluable resource that provides users with the support they need to accomplish their tasks. However, setting up a service catalog can also be overwhelming. That's why we've put together these service catalog best practices to help you.

System Management software is a powerful ally for IT teams, making complex environments more manageable, more secure, and easier to monitor. With systems and devices multiplying and growing in complexity, keeping track of them can become a monumental task. That’s where System Management software steps in – bringing order to chaos and control to IT assets. In this post, we’re diving into the top 10 System Management software for 2025.

Many modern applications rely on MongoDB and MongoDB Atlas to manage growing data volumes and to provide flexible schema and data structures. As organizations adopt these and other NoSQL databases, effective monitoring and optimization become critical, especially in distributed environments.

Understand why tracking cumulative resource consumption is crucial for accurate process monitoring.

Considering implementing load balancing? Slow websites and website downtime are more than just nuisances. One study found that slow-loading websites cost online retailers more than $77 billion each year in lost sales. Over half of consumers cite a slow webpage as the main reason for abandoning an online purchase, and just under half will not return to a website after a bad experience.

About a year ago, Honeycomb kicked off an internal experiment to structure how we do incident response. We looked at the usual severity-based approach (usually using a SEV scale), but decided to adopt an approach based on types, aiming to better play the role of quick definitions for multiple departments put together. This post is a short report on our experience doing it.

The UIMAPI is a RESTful API. With UIMAPI you can programmatically perform almost any action in your DX UIM environment. Using the Swagger front-end as a guide, you can manually execute REST endpoints. However, many customers would rather use a program to automate these actions.

Cribl employees are renowned for their insatiable curiosity, especially when it comes to their passions. Having been a technical writer for most of my adult life, this goat is deeply passionate about two things: writing engaging content and understanding the mindset of our users. As one of our founders always says, “Software is a people business.” To make my users successful, I need to know how they think. But what if the “user” is a machine? This goat is intrigued.

With every job I have, I come across a new observability tool that I can’t live without. It’s also something that’s a superpower for us at incident.io: we often detect bugs faster than our customers can report them to us. A couple of jobs ago, that was Prometheus. In my previous job, it was the fact that we retained all of our logs for 30 days, and had them available to search using the Elastic stack (back then, the ELK stack: Elasticsearch, Logstash, and Kibana).