Operations | Monitoring | ITSM | DevOps | Cloud

Observability is often a misunderstood and misused term. It has come to mean nothing and everything at this point. Read more on how Observability can be viewed from the lens of a Radar and a Black Box.

Ready to explore Rollbar without the coding hassle? The Rollbar Error Simulator iOS app is the ultimate solution for carefree error testing, designed for users without coding experience. Seamlessly connecting to your Rollbar account, this user-friendly app lets you simulate errors effortlessly with just a single tap on a button. No technical expertise is needed! Just create a new account, opt for the Error Simulator experience, and you'll be guided.

Datadog is one of the most known tools for monitoring. It’s widely popular for its single pane of glass solution. However, many people have complaints about Datadog. One example of an issue many people have with using Datadog is the number of errors people find when getting started.

Bad news: Configuration drift is going to happen no matter what you do. It’s very easy to miss, caused by some innocuous mistake or patch and buried in paper trails that don’t exist. By the time you’ve found which configurations have drifted, it usually means something’s already going wrong. But here’s the good news: You and your precious configurations don’t have to take it lying down.

At Grafana Labs, we want to empower our fellow Grafanistas and the community to get the most out of the Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). As part of this effort, we recently launched a new Grafana developer portal. And now, we’re pleased to announce the launch of the Saga Design System, which establishes a shared visual language for all of Grafana Labs’ offerings.

VictoriaMetrics is an open-source time-series database (TSDB) written in Go, and I’ve had the pleasure of working on it for the past couple of years. TSDBs have stringent performance requirements, and building VictoriaMetrics has taught me a thing or two about optimization. In this blog post, I’ll share some of the performance tips I’ve learned during my time at VictoriaMetrics.

Generative AI has already shown its huge potential, but there are many applications that out-of-the-box large language model (LLM) solutions aren’t suitable for. These include enterprise-level applications like summarizing your own internal notes and answering questions about internal data and documents, as well as applications like running queries on your own data to equip the AI with known facts (reducing “hallucinations” and improving outcomes).

In January 2015, I wrote about the future of professional database administrators (DBAs) in a three-part series of articles for Database Trends & Applications magazine. Back then I predicted we would see strong growth in DBA salaries because of the acute and persistent shortage of talent, very little means of training new DBAs, and a median age of DBAs creeping closer to retirement age with each passing year.

For the past few months, we’ve been working closely with the LangChain team as they made progress on launching LangServe and LangChain Templates! LangChain Templates is a set of reference architectures to build production-ready generative AI applications. You can read more about the launch here.

Elastic Observability customers saw 243% ROI and $1.2 million in savings over 3 years For government and education organizations around the world, facilitating an efficient, reliable customer experience is essential when providing critical services and building trust with stakeholders. As technology infrastructure expands and the IT landscape becomes a complex mix of private cloud, public cloud, and air-gapped environments, the ability to see across all systems and data is challenging yet critical.