Operations | Monitoring | ITSM | DevOps | Cloud

Jaeger and Prometheus are both popular open source monitoring systems, but they serve different purposes and focus on different aspects of observability in a distributed system. Learn how these tools are similar, how they're different, and when you should use each one.

Deploying microservice-based applications with Kubernetes can be a complex process—more services translate to more Kubernetes resources, pipelines, and service dependencies.

Modern applications rely on databases, making database performance and reliability essential. As systems grow in scale and complexity, identifying the impact and addressing the root causes of database performance issues—such as long query durations or missing indexes—becomes increasingly challenging. Datadog Database Monitoring (DBM) Recommendations address these challenges by providing a clear, prioritized view of performance bottlenecks.

In vino veritas, right? During a recent team gathering in Kraków, Poland, and after several yummy bottles of țuică, vișinată, żubrówka, diluted with some beer, the truth came out – even though we run Logsene, a log management service that you can think of as hosted ELK Stack, some of us still ssh into machines and grep logs! Whaaaaat!? What happened to eating our own dog food!?

So we all have commitment issues. Let’s face it, “commitment” is probably one of the most scary words in the English lexicon. Jokes aside, what does it actually mean when we talk about cloud commitments?

It’s hard to believe Grafana Play has been around for almost a decade. The platform continues to be a great way to demo Grafana, play around with new features, learn what’s possible, and simply have fun with data. Grafana Play provides a publicly available version of Grafana Cloud, and requires no login for access. It’s preloaded with a wide range of sample dashboards that teach users how to work with data sources, create visualizations, and explore advanced Grafana features.

The long-awaited InfluxDB 3 Core is finally here, introducing a powerful new way to manage your time series data. InfluxDB 3 Core is an open source recent-data engine for time series and event data. It’s currently in public Alpha under MIT/ Apache 2 license. In this post, we’ll dive into how to query and write data using the Python client library, unlocking the full potential of InfluxDB v3 Core with clear, hands-on examples.

The stress, sudden disruptions, and high stakes of resolving issues while on call is one of the most challenging aspects of an engineer’s job. Many organizations, from startups to large enterprises, still struggle with their on-call experience, which leads to longer resolution times and lower employee retention rates. Constant context switching, managing multiple tools, and racing against time to resolve issues can cause frustration, burnout, and inefficiency.

When building modern applications, choosing the right communication protocol is crucial for performance, scalability, and ease of integration. Among the most common options, gRPC, HTTP, and REST often come up in discussions, each with its strengths and weaknesses. But how do you know which one to use? Let’s break it down in this comprehensive comparison.