Operations | Monitoring | ITSM | DevOps | Cloud

Short Summary: Different databases use different SQL syntax for simple tasks like subtracting days from a date. In this post, we show how these differences appear across databases such as MySQL, PostgreSQL, SQL Server, Oracle, and H2. We also explain how dbForge Edge helps teams work with them in one place while keeping application logic consistent.

Short Summary: Counting related records across multiple dependent tables can produce wrong totals or slow queries when standard joins are used. This article explains a more reliable way to do this by counting each table separately, applying date filters, and checking that the query still runs well on large datasets. Tools such as dbForge Edge can also help if needed.

February 2026 saw another wave of impactful service disruptions across AI platforms, e-commerce infrastructure, developer tools, education providers, collaboration apps, and cloud services. Using StatusGator’s Early Warning Signals, we detected outages before providers publicly acknowledged them – and in several cases, providers never acknowledged them at all. Many services still lack transparent or timely status communication, leaving users with little visibility during critical incidents.

Organizations rely heavily on logs or tracking changes, troubleshooting issues, and addressing authentication attempts. Although these logs are essential for ensuring a smooth onboarding experience, they often contain users' personally identifiable information (PII), including names, email addresses, phone numbers, and sometimes location or device details. The following sample log illustrates this scenario: 2025-11-01 09:12:33 ACCOUNT_CREATED - New user registered: Name: Michael Scott, Email.

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Front-end deployment is usually introduced as the easy part of web app deployment. "Build the assets and push them." Seems simple, right? Yet on the contrary, those 6 words have most likely caused more production issues than most error messages. Because while front ends do look simple, they are actually a delicate stack of assumptions wearing a UI that is misleadingly easy to use.

More and more often, infotainment systems are being developed and delivered like software, yet often they are still tested and validated using hardware-centric processes. This is far from ideal: access to devices is limited, environments are difficult to reproduce, and iteration slows down as soon as multiple teams need to work in parallel. These challenges become even more visible as cockpit systems move toward wide displays and high resolutions.