In my February 2024 piece The Cost Crisis in Observability Tooling, I explained why the cost of tools built atop the three pillars of metrics, logs, and traces—observability 1.0 tooling—is not only soaring at a rate many times higher than your traffic increases, but has also become radically disconnected from the value those tools can deliver. Too often, as costs go up, the value you derive from these tools declines.

Over 347 billion emails were sent and received every day in 2023, a number that is expected to increase to over 361 billion daily emails in 2024. With so much information always flowing, the reliability and efficiency of email servers have never been more important. So what happens when servers fail and emails don’t go through? Consider the financial repercussions — downtime can cost businesses as much as $5,600 per minute (a whopping $300,000 per hour).

Exciting news for cloud enthusiasts and developers! Ubuntu Pro 24.04 LTS (Noble Numbat) is now available on Google Cloud, bringing a robust and secure platform for your cloud workloads. This latest Long Term Support release from Canonical offers a wealth of features and enhancements, making it the perfect choice for building and deploying applications in the cloud.

APIs are an important part of modern software development, allowing communication between different systems and services. However, not all APIs are the same. Internal APIs and external APIs have different purposes and characteristics that affect their management and security needs. In this article, we will look at the main differences between internal and external APIs, focusing on their definitions, purposes, advantages, and disadvantages.

Monitoring tools are essential for maintaining stability and performance. They enable organizations to monitor diverse metrics, analyze trends, and identify anomalies to prevent downtime and maximize resource efficiency. Among the leading solutions in this domain, both Datadog and Grafana are recognized for their effectiveness and versatility. Understanding the nuances between these platforms is vital for businesses to make informed decisions about which tool best suits their needs.

Effective log management is a fundamental aspect of maintaining and troubleshooting today's complex systems and applications. The sheer volume of data generated by various software and hardware components can make it challenging to identify and resolve issues in a timely manner. Open-source log management tools offer a cost-efficient and customizable approach for collecting, analyzing, and visualizing log data.

In today’s increasingly dynamic digital world, the need for end-to-end network visibility has never been more critical. These requirements are especially profound for managed service providers (MSPs) and communications service providers (CSPs). MSPs and CSPs find themselves at the epicenter of digital transformation.

We are excited to release our tooling for continuous profile-guided optimization (PGO) for Go. You can now reduce the CPU usage of your Go services by up to 14 percent by adding the following one line before the go build step in your CI pipeline: You will also need to supply a DD_API_KEY and a DD_APP_KEY in your environment. Please check our documentation for more details on setting this up securely.

One of the most powerful features of Grafana is the ability to unify and derive value from your data, regardless of where that data lives. This is because we’re fully committed to making Grafana an open, composable, and extensible observability platform for our more than 20 million users worldwide. But how exactly do we deliver on that promise of openness and extensibility? Grafana data source plugins play a big role.

Modern-day software systems emit millions of log lines per minute. Cloud computing and containerization have made it easy to have distributed systems. Distributed systems emit logs from multiple sources. While developers have always used logs to debug stand-alone applications, centralized logging solves the challenges of modern-day distributed software systems.