Operations | Monitoring | ITSM | DevOps | Cloud

Building Resilience in Manufacturing with the Power of Data

Resilience has become the new strategic imperative for manufacturers during these testing times. As the world’s challenges make headlines, so do the innovative responses of manufacturing leaders. Savvy manufacturers automate, overhaul fundamental processes, modernize their security posture and reduce their CO2 footprint. Forward-focused organizations double down on their cloud investment to become more agile and resilient. And none of it is possible without data.

Grafana Loki top 5 query performance tips

In this video, we will discuss some key tips and techniques you can use to optimize the performance of your Loki queries in Grafana Loki. By following these best practices, you can ensure that your Loki queries are executed efficiently and effectively. Start correlating your data with Grafana Cloud and the new FREE tier. Special thanks to Ed Welch for the inspiration

Governance, Risk and Compliance for MSPs in 2023

RedLin Murphy, N-able’s head of Governance, Risk and Complaince, as well as Dave MacKinnon, N-able’s Chief Security Officer discuss current and upcoming regulations that do or could impact MSP’s, what you can do to prepare for these things as cyber governance continues to at both the state and federal levels.

Intro to Hive Queries-What They Are and How to Write Them Effectively

In the realm of big data, Hive is a big deal. Well-written and well-designed Hive queries accelerate data retrieval from datasets. Hive is much better than SQL as the former works with complicated data more effectively. In addition, Hive queries help bring down processing costs. This is why it’s critical to write and optimize Hive queries correctly for big data analytics users and developers.

Data Governance - Best Practices Organizations Should Prioritize In 2023

Data is the fuel for modern businesses as it eliminates guesswork from decisions and gives better control over outcomes. But you cannot rely on random pieces of information to get the best insights. Moreover, you need to protect sensitive enterprise assets from misuse and loss. Data governance covers both fronts by creating internal policies, standards, and processes to collect, store, access, and dispose of data. More than just implementing a system, you must ensure that it matches the needs of your business.

Six Mistakes To Avoid When Mapping Your Enterprise Data Landscape

Any organization that wants to make the most of its data needs to understand its data landscape clearly. Data mapping is essential to achieving this understanding, but it can be a complex task. There are several pitfalls that organizations need to avoid. Here are the six most common mistakes to avoid when data mapping your enterprise.