Operations | Monitoring | ITSM | DevOps | Cloud

Since we launched the new SquaredUp last Fall, our focus has been making it easier than it’s ever been to connect to any data source, build beautiful dashboards, and share them with anyone. Today we’re excited to announce a fully redesigned dashboarding experience that does just that. The new dashboarding experience remains backed by data mesh technology, which means your data stays where it lives – it’s simply stitched together and available on-tap from the source.

Enterprises are accumulating more and more observability and security data in isolated silos, not much different than the dust and spare change under couches and chairs in your grandparent’s rarely-used living room. There is something of value in both examples, but the nature of the value is very unclear and hard to measure without a lot of effort.

AWS users usually assume that Northern Virginia, also referred to as US East (N. Virginia) and us-east-1, is the least reliable in terms of uptime. We analyzed AWS outage history in 2022 across regions to see if N. Virginia, indeed, had the most downtime. Then we reviewed and proved some of the theories as to why N. Virginia has the most outages.

It’s a fact of life within the SaaS world that some features will perform better or worse than others in terms of costs versus revenue. If it were possible to develop every single new release in a way that it would flawlessly maintain desired profit margins, everyone would be doing it. What separates the major players from companies that struggle year after year is how they monitor and respond to changing circumstances as they arise, and whether they learn from past mistakes.

Today's applications are incredibly intricate and interconnected, often relying on numerous third-party services and libraries. With this complexity comes an increased likelihood of things going wrong. However, an error doesn't usually announce itself with great fanfare and a detailed explanation. More often than not, it shows up as an unexplained crash, a suspicious slowdown, or a surprising output. Error logging shines a spotlight on these problems.

At one particular time, a developer would spend a few months building a new feature. Then they’d go through the tedious soul-crushing effort of “integration.” That is, merging their changes into an upstream code repository, which had inevitably changed since they started their work. This task of Integration would often introduce bugs and, in some cases, might even be impossible or irrelevant, leading to months of lost work.

Teams has become more than just a handy platform to send the odd chat message or drop documents over to a colleague. In fact, it’s become fundamental to the way organizations across the world operate. But does it tick every box for modern businesses? Nearly, yes.

Digital transformation—and its intended benefits, including flexibility, scalability, agility, cost control, and more—is enabled by cloud computing. You need all these things because, now more than ever, businesses and markets are highly dynamic. Sometimes it’s an opportunity you want to capitalize on. Other times it’s a threat, such as a disruptive competitor, or a challenge, like new regulatory requirements. Some things you see coming, and others take you by surprise.

Incident response tools are software applications or platforms designed to assist security teams in identifying, managing, and resolving cybersecurity incidents. Incident response is a crucial part of an organization’s cybersecurity strategy, making it possible to detect threats, analyze vulnerabilities, respond to attacks, and recover from security breaches. Incident response tools are vital for safeguarding organizations against evolving cyber threats.

Data integrity is becoming increasingly important as business data competencies mature. From companies leveraging data to drive business decisions to individuals relying on secure data storage — it's clear that having trust in the accuracy and consistency of your data is essential. With the rise of applications using data for business analysis, there's a greater emphasis on having strong data integrity. Therefore, it's critical to understand what data integrity is and why it matters.