Operations | Monitoring | ITSM | DevOps | Cloud

Top 3 tools for DORA metrics reporting: SquaredUp vs Power BI vs Jira

What is it that makes a high-performing software engineering team successful? This was the challenge undertaken by the DevOps Research and Assessment (DORA) team around 2015, who created a set of metrics that could provide a reliable, data-driven way to measure and improve software delivery performance.

Cloud quotas: How to make cloud management easy

In the past, a cloud architect's pain point was usually deciding between these two options: To tackle this confusion, major cloud service providers (CSPs) launched quotas (in their own words). To give you examples, here are the different terminologies used by the three major public CSPs: The main ingredient of a well-oiled cloud setup that significantly impacts cloud operations is understanding and managing cloud quotas, also known as service quotas.

Agentic AI in financial services: The rise of autonomous intelligence

Agentic AI is coming to financial services. Elastic provides the data foundation and tools to make it work. In a recent talk at Stanford University, Jamie Dimon, chairman and CEO of JPMorganChase, addressed the firm’s use of AI and ended with mentioning that agentic AI was the next frontier of AI at the firm, inferring it wasn’t ready to be deployed yet. Let’s break down why that may be the case and what the financial services industry can do to become more comfortable with agentic AI.

Unleash SaaS Data With the Webhookevent Receiver

There are many vendors, Honeycomb included, where actions on the application can emit a web request that goes to another service for coordination or tracking purposes. Many vendors have pre-built integrations, but some have a fallback that says “Custom Webhook” or similar. If you’re looking to create a full picture of your request flow, you would want these other services to show up in your trace waterfall.

The Azure Metrics That Actually Reduce Cloud Costs

This is the fourth blog in our Azure Monitoring series, and this time, we’re digging into cost efficiency. Azure makes it easy to scale, but just as easy to overspend. Idle VMs, forgotten disks, and silent data transfer fees add up fast. The result is budget overruns that catch teams off guard and force reactive cuts. This blog breaks down the Azure metrics that actually help you reduce waste, improve visibility, and keep cloud spend aligned with business priorities. Missed our earlier posts?

How to Control and Optimize Azure Costs Without Losing Visibility

This is the ninth post in our Azure Monitoring series, and it’s all about taking control of your cloud costs without losing visibility. We’ll unpack why Azure bills tend to spiral, where native tools fall short, and what it really takes to cut spend while keeping performance on point. You’ll walk away with practical ways to spot waste early, act fast, and stay ahead of surprise invoices. Missed the earlier posts? You can catch up anytime.

Grafana Alloy at 1: What's new and what's next for our OpenTelemetry Collector distribution

It’s been a year since we launched Grafana Alloy, our OpenTelemetry Collector distribution with built-in Prometheus pipelines and support for metrics, logs, traces, and profiles. OpenTelemetry is quickly becoming an industry standard for telemetry collection, processing, and delivery, and we’re committed to making Alloy the best possible collector for telemetry data, whether you’re using it with Grafana Cloud or not.

Grafana Cloud Migration Assistant: from self-hosted to the cloud in minutes

Moving your existing Grafana instance to Grafana Cloud just got dramatically simpler. Today, we’re excited to announce the general availability of the Grafana Cloud Migration Assistant, a powerful yet intuitive tool designed to streamline your migration journey. Traditionally, migrating from Grafana OSS or Grafana Enterprise to Grafana Cloud required technical expertise with Grafana’s HTTP API or command-line tools like Grizzly.

Track MongoDB Performance Metrics Without the Noise

When your MongoDB database slows down, it affects your entire application stack. Performance issues can range from minor inconveniences to major outages, making a solid understanding of MongoDB metrics essential for any DevOps engineer. This guide covers the key performance metrics you need to monitor in MongoDB, how to interpret what you're seeing, and practical steps to resolve common issues.