Today’s enterprises aspire to achieve IT process automation to help manage their infrastructure more efficiently and effectively. An AIOps platform like SL1 from ScienceLogic makes IT automation possible by discovering all devices, configuration, ingesting data from all resources, and creating an operational data lake populated with accurate and timely data. That data ensures the best possible result when automating simple, repetitive tasks.

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization? When it comes down to it, most organizations seeking these solutions are looking for a way to analyze data without having to move or transform it via complex extract, transform and load (ETL) pipelines.

Azure Data Lake Storage (ADLS) is a highly scalable and cost-effective storage solution provided by Microsoft Azure for big data analytics. ADLS can handle structured and unstructured data, making it a popular choice for businesses looking to optimize their cloud storage management. In this article, we will provide a comprehensive analysis of the key factors that impact costs in Azure Data Lake Storage.

If you’re under pressure to improve your users’ digital experiences, from ecommerce to delivering public services, you’re probably painfully aware that legacy approaches to delivering software applications and features just don’t cut it. One of the key solutions to both legacy organizations and startups that addresses that shortfall is DevOps. Why? The clue is in the name.

If the past year has taught us anything, it’s that the more things change, the more things stay the same. The whiplash and pivot from the go-go economy post-pandemic to a belt-tightening macroeconomic environment induced by higher inflation and interest rates has been seen before, but rarely this quickly. Technology leaders have always had to do more with less, but this slowdown may be unpredictable, longer, and more pronounced than expected.

Previously we heard about the ability for the Goliath solution to test and self-heal the environment. This provides an ability to let the environment take care of itself, relying on the collective years of experience from EUC experts. However, we all know that just because an environment checks all the boxes, does not necessarily mean that users are productive and pleased with the environment.

In the face of macroeconomic challenges, the tech strategy has in many cases become synonymous with the business strategy. Organizations need to do more with less, transform their business models to grow revenue, and gain a competitive advantage to weather this storm. Ultimately, those that can find ways to accelerate the business impact of their technology investments will be best positioned for long-term resilience.

What do you get when you combine the wit, wisdom, and weird humor of four talented tech minds? As it turns out, a surprisingly lively Q&A! As Grafana Pyroscope emerges from the union of Grafana Phlare and Pyroscope, it’s time to really get to know the people behind these continuous profiling projects. That’s why we brought together the Pyroscope founders, Dmitry Filimonov and Ryan Perry, and Phlare technical leads, Cyril Tovena and Christian Simon, for this light-hearted conversation.

Cloud FinOps is rapidly becoming popular among organizations in today’s digital age due to its ability to help manage financial operations more efficiently. This is because it allows organizations to track, measure, and optimize their cloud spend with greater visibility. It also helps improve operational efficiency by automating numerous financial processes, including billing, budgeting, auditing, and reporting.