Operations | Monitoring | ITSM | DevOps | Cloud

In a previous post, we discussed what an Internal Developer Platform (IDP) is and some drivers behind IDP initiatives. If we go through our interactions with different organizations, we see teams embarking on the journey to build their IDPs mainly driven by the following requirements: While building an IDP may seem like an obvious choice and initiative, it is definitely not an easy task to accomplish. Building an IDP involves dealing with many moving components.

With the never-ending potential of technology to disrupt everyday processes, more and more industries are deciding to adapt to one exciting area of innovation today: artificial intelligence (AI). In fact, Global Industry Analysts Inc. predicts that AI will be worth 164.03 billion GBP by 2026, and here, we look at four industries set to be disrupted by AI. Since the healthcare sector collects and greatly depends on personal data from their patients, AI will play a crucial role in data management.

Sometimes, the data you want to analyze lives in AWS S3 buckets by default. If that’s the case for the data you need to work with, good on you: You can easily ingest it into an analytics tool that integrates with S3. But what if you have a data source — such as logs generated by applications running in a Kubernetes cluster — that isn’t stored natively in S3? Can you manage and analyze that data in a cost-efficient, scalable way? The answer is yes, you can.

It’s possible to have more than one DHCP server on the same network and still have everything work right, with no conflicts and no dropped packets or IP requests. It’s really not that hard to pull together, either, but there are some things to know, and some things to consider before we investigate that situation. For this blog, we’ll put some of the overlooked facets of DHCP in bold text. Let’s take a look.

So you’re using InfluxDB Cloud and you’re taking full advantage of Flux to create custom data processing tasks, checks, and notifications. However, you notice that some of your Flux scripts aren’t executing as quickly as you expect. In this post, we’ll learn about best practices and tools for optimizing Flux performance.

Whether you are downsizing your infrastructure within a single room or eliminating half of your data center sites, a data center consolidation is a complex, risk-prone project. Fortunately, you can mitigate many of the mistakes and unwelcome surprises that even the most experienced data center professionals find derailing their project and instead enjoy the many advantages of a data center consolidation.

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