Operations | Monitoring | ITSM | DevOps | Cloud

How LEO satellite technology is transforming enterprise connectivity It’s not new to say that reliable, high-speed connectivity is critical for businesses. Yet even as global networks expand, many enterprises still face connectivity challenges, whether operating in remote industrial zones, across oceans or in developing regions with limited terrestrial infrastructure.

You hear that? It’s the unmistakable, terrifying flood of tickets rolling in! Password resets, VPN issues, access requests, and performance alerts. The numbers climb faster than the team can respond. You’ve added automation, new tools, even a chatbot or two, but the tide surges on. Here’s a plot twist: sometimes, your IT service desk solution isn’t solving the problem. Sometimes, it’s the thing keeping the problem alive.

As security data volumes grow, so do the costs of processing and storing them. Microsoft Sentinel and other SIEM platforms charge based on data ingestion, which makes every decision about normalization rules critical and every duplicate log a direct expense. Enterprise-scale security data pipelines face a persistent problem: data duplication across normalization tiers. As logs move through multiple transformation stages, it’s often impossible to know in advance which version will succeed.

The holiday shopping season is a familiar ritual for many. We spend hours researching the best deals, comparing features, and reading reviews to make sure we’re investing in the right things. As we all come to grips with the fact that 2026 is right around the corner, engineering leaders are doing the same thing, but largely in response to the explosion of AI developer tools.

Large enterprises today manage more machine data than ever before. From legacy applications to modern, ERP and supply chain systems to cloud infrastructure, cybersecurity, and customer-facing applications, much of this valuable data remains trapped in silos, limiting its potential to drive faster decisions, strengthen resilience, and meet the demand for optimum service availability.

FinOps continues to grow in importance as organizations balance cloud services with on-prem systems, legacy applications, and evolving business demands. Many teams want to manage their costs more effectively but are unsure how to apply a FinOps strategy for hybrid IT outside the cloud.

Every developer who’s worked with PostgreSQL knows the pain: testing against a real database slows everything down. You need the database running locally, loaded with the right data, and configured to match production as closely as possible. Every time you run a new test or build, you’re forced to repeat that setup migrate schemas, seed test data, and clean everything up again. It’s time-consuming, brittle, and hard to scale across a team.

Outages are less common than they once were, but when they happen, the impact is severe. According to the Uptime Institute Global Data Center Survey 2025, half of data center operators reported at least one impactful outage in the past three years, and one in ten of those caused a serious or severe disruption. The financial risk is just as significant. 20% of operators said their most recent outage cost more than $1 million when accounting for downtime, recovery, and reputational damage.