Operations | Monitoring | ITSM | DevOps | Cloud

Modern enterprises are more dependent than ever on data. That's why it's more important than ever for organizations to ensure that their data is accurate, reliable, and easily accessible. Data observability is a modern method that helps achieve this. It involves real-time monitoring of data to detect unusual patterns. By doing so, it ensures data quality and reliability, which boosts operational efficiency and governance.

Integrating MQ monitoring into a newly modernized mainframe environment isn’t something you can just wing. We’ve worked on projects where it seemed straightforward at first—just plug in some monitoring tools and you’re good to go, right? Not quite. The reality is, if you don’t approach this with a plan, you’ll find yourself tangled in a web of configuration headaches and performance hiccups.

AWS MediaTailor provides a wealth of information via metrics, but one key feature that is very difficult to track is the Transcoding performance. What is transcoding and why is performance important?

This month I continued adding features to OnlineOrNot's status page functionality, while also taking the time to fix bugs, and add an integration for Pingdom.

As the Managed Service Provider (MSP) landscape continues to evolve, developing a robust MSP monitoring strategy is essential for MSPs wanting to stay ahead in an increasingly complex digital environment.Rapid advancements in technology, coupled with the growing complexity of IT environments, necessitates a shift in how MSPs approach monitoring. The fiercely competitive MSP market and external pressures on costs such as cloud pricing mean that customer expectations are high but profit margins slim.

Designed in the early 1990s Python was built to emphasize code readability and on the principle that there should be one way to do things. Python is one of the most popular programming languages and is utilized for a range of purposes including machine learning, web applications, and data analysis.

Docker is a popular platform that enables developers to package, distribute, and run applications within isolated environments called containers. Logs play an important role in the use of Docker for numerous reasons. For example, The running of Docker containers in isolation makes it difficult to handle troubleshooting issues and monitor application behavior effectively in the absence of detailed logging.

We are excited to announce the launch of Elastic's Support Assistant. This blog takes you through a tour of our latest generative AI tool and some common scenarios where it can help with your own use of Elastic technology.

Over the past year since its initial release, the InfluxDB 3.0 product suite has seen numerous new features and performance improvements. These improvements reinforce InfluxDB 3.0’s position as the industry’s leading time series database, offering unparalleled performance with unlimited cardinality, high-speed, independently scalable ingest, real-time querying, and superior data compression using Parquet format on cost-effective object storage.