Operations | Monitoring | ITSM | DevOps | Cloud

When Apache Spark works well, it works really well. Sometimes, though, users find themselves asking this frustrating question. Spark is such a popular large-scale data processing framework because it is capable of performing more computations and carrying out more stream processing than many other data processing solutions. Compared to popular conventional systems like MapReduce, Spark is 10-100x faster.

What is Grafana? How do I change the color of a panel set? Where can I find all public dashboards? Who made the Kessel Run in less than 12 parsecs?

Kubernetes has been around for nearly 10 years now. In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.

Only 52% of workers felt satisfied with their latest employee onboarding experience, according to a Paychex survey. That means just under half of new hires are dissatisfied and feel unprepared to start their new jobs. Nearly 40% of survey respondents found onboarding clear, 32% said it was confusing, and 22% said it was disorganized. Four out of five (80%) new hires who feel undertrained due to poor onboarding plan to quit. Poor onboarding experiences aren’t new for HR teams.

Telecommunication (Telco) companies everywhere share a similar vision: future-proofing their organizations for an unpredictable era of challenges and opportunities in an unreliable economy. Rebounds from the pandemic started out slow and patchy, and leading up to present day, moves like inflation-laced price increases and merger and acquisition (M&A) deals have ramped up share prices across the global telecoms sector to climb back up from 2020’s rock bottom.

While some smaller companies may only need to use standard access controls to shore up systems, large organizations — particularly those with strict security, confidentiality, and compliance requirements — often require advanced functionality that gives them more authority over which users can access what systems and when.

The intersection of economic uncertainty and digital transformation presents a unique challenge for businesses. With the fear of a recession looming overhead, there’s no doubt that choppy waters await, but what does this mean for IT when tech spending can significantly impact the bottom line? While IT spending is a priority for many, businesses are still seeking ways to reduce non-essential spending and upgrade outdated infrastructure.

For top-notch organizations, staying ahead of the curve is not just a choice; it's a necessity. To meet the growing demands of modern development, organizations are increasingly turning to Internal Developer Platforms (IDPs) as a solution to fine-tune their workflows. This article aims to demystify IDPs, shed light on their benefits, and guide you on how to embark on your IDP journey.

Predictive maintenance is a maintenance strategy that uses machine learning algorithms trained with Industrial Internet of Things (IIoT) data to make predictions about future outcomes, such as determining the likelihood of equipment and machinery breaking down. Using a combination of data, statistics, machine learning and modeling, predictive maintenance is able to optimize when and how to execute maintenance on industrial machine assets.

In my first post, I talked about how SQL Sentry has taken shape over the years. Now we announced SQL Sentry 2023.3, and a lot is changing. In the past, customers could only work with SQL Sentry through an installed, Windows-based client. It’s a feature-rich interface with access to everything you need with no limit to how many users install it. But we heard our customers; they wanted a web-based interface with a simplified user experience.