Operations | Monitoring | ITSM | DevOps | Cloud

Grafana’s extensibility has always been one of the keys to its success. It comes with a wide range of data sources that allow you to query your data no matter where it lives, visualizations to help you quickly make sense of that data, and apps that can provide complete observability solutions, all in a single package.

2024 was a huge year for Apache DataFusion, and 2025 is looking to be even bigger. The project officially became a top-level Apache Software Foundation project, achieved best-in-class performance for querying Parquet files in the ClickBench benchmark, and had a research paper accepted for SIGMOD.

Logstash is a powerful tool for ingesting, transforming, and shipping data from various sources. Visibility into Logstash is critical for optimizing performance and troubleshooting issues related to data ingestion. We’ve greatly improved the Logstash integration to display the status of your Logstash nodes and pipelines at a glance. The integration is now powered by Elastic Agent, which queries Logstash monitoring APIs for data that populates managed dashboards.

In the log aggregation game, the biggest difficulty you face can be setting up parsing rules for your logs. To qualify this statement: simply getting log files into Graylog is easy. Graylog also has out-of-the-box parsing of a wide variety of common log sources, so if your logs fall into one of the many categories of log for which there is either a dedicated Input; a dedicated Illuminate component; or that uses a defined Syslog format; then yes, parsing logs is also easy.

Previously, I discussed the challenges of adopting AI in enterprises, focusing on middle managers’ concerns about its impact on their roles. In case you missed it, you can read it here: AI resistance isn’t where you expect it In this post, I’ll highlight the crucial steps for ensuring successful AI adoption. All business transformations are complex by nature because they change the organizational balance – that is, the equilibrium of power held among different leaders.

Since the inception of public clouds, a lot of CXOs have considered moving their IT infrastructure to the cloud and many have already done that. If your organization is considering migration to the cloud, learn what drove this mass movement from on-premises servers to the cloud. In this article, we'll explain the major reasons why organizations prefer the cloud, the issues you should watch out for, and how you should protect your cloud infrastructure.

Box.com is a cloud-based content management and file-sharing platform designed for the enterprise and used by nearly 100,000 companies around the world. When a Box outage strikes, businesses can experience costly disruptions. On February 19, 2025, a disruption in core Box services including uploads, downloads, and the All Files page, affected thousands who depend on the cloud storage and collaboration platform.

Snowflake is a powerful, cloud-based data platform designed for high-performance analytics. Whether you're running massive analytical queries, managing structured and semi-structured data, or optimizing data pipelines, visibility into your Snowflake instance is essential. Performance bottlenecks, query execution delays, and unexpected cost spikes can quickly become issues without proper monitoring.

This weekend, I binge-watched Netflix’s new series Zero Day, starring Robert De Niro. The series has sparked excitement and curiosity among cybersecurity enthusiasts and political thriller fans alike. As the title suggests, the show revolves around a cyberattack that exploits unknown vulnerabilities—so-called “zero days”—to wreak havoc on critical systems. But what if the organizations targeted in Zero Day had the right cybersecurity strategy in place?