Operations | Monitoring | ITSM | DevOps | Cloud

Everything you want to know about high cardinality in cloud native environments and how to manage it effectively.

In the last two posts, we addressed validating whether a string or an array was null or empty. Today we will continue on the same topic, validations, and I will speak about another good Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): How to validate if a JSON structure is an Array or a single object.

When you first onboard to a monitoring and security platform, it can be difficult to know where to start. Which services should you monitor? What thresholds should you set? How often should you alert your team, and where’s the best starting point for investigations?

As a new Datadog customer, your top priority is figuring out how to maximize the platform’s potential and deliver value to your organization quickly and seamlessly. But with a plethora of options and configurations available at your disposal, it can be overwhelming to determine where to begin. With Datadog, you don’t need to be an expert in observability or monitoring to get up and running efficiently.

This isn’t the “good old days” anymore. It used to be that cloud companies could pursue growth at all costs and still garner the support of venture capitalists and other investors. In 2023, however, with costs rising and margins getting narrower every day, investors are now favoring companies that can ensure long-term profitability rather than just growth. Now, more than ever before, it’s crucial to drive toward SaaS profitability as the ultimate goal.

From applications in telecommunications to edge cloud and industrial digital twins, experimenting with real-time capabilities in cloud technologies is a trend in the industry. Applications for the edge often have an additional requirement as they interact with real-time systems: they need to run deterministically. It means that time constraints their execution and interaction within the system.

The modern factory’s relationship with data is experiencing a major change. Data now shapes the future rather than only telling the story of the past. The language inside the factory sounds like higher Overall Equipment Effectiveness (OEE) as the result of a shift from preventive to predictive maintenance. It could also look like expanding business goals to a new market based on impactful data-driven decisions. A change in purpose requires an update in technology.

Pepperdata’s cost slashing capabilities are legendary: for the last decade, we’ve been doing just that for some of the largest and most demanding enterprises in the world, including security-conscious global banks, members of the Fortune Five, and other top-tier companies.

This week, I played at home as the rest of the DX team and I were at the AWS Summit London. 🇬🇧 The event was buzzing with excitement and overflowing with great talks and impressive exhibition stands. It didn't disappoint in terms of attendance either! Despite covering a wide range of subjects, I couldn't help but notice three super-hot tech trends that were everywhere throughout the day. So, without further ado, let's dive right in and explore these topics!