Operations | Monitoring | ITSM | DevOps | Cloud

In an era dominated by GenAI technologies, the critical role of robust network infrastructure—the backbone of AI's expansive capabilities—often remains in the shadows. At the heart of this infrastructure lies an intricate array of network devices, including routers, switches, modems, firewalls, wireless access points, etc. These devices, each serving a distinct yet interconnected role, collectively ensure the seamless transmission of data across the network.

Every IT and data team in Financial Services is already faced with many challenges. They manage large database estates with Personally Identifiable Information (PII) that is particularly sensitive, requiring governance and process protection. They have to constantly adapt to changing customer expectations with better products, more seamless experiences, and five-nines availability. They’re expected to deliver new features and services quickly, while keeping data safe.

This blog will be the second in a three-part blog series where we explore the benefits of the GitOps practice, how to get the most from GitOps, and how to measure and maintain success. Here is what you can expect from the series: We’ll dive into the practice of GitOps in this blog, defining and understanding what an efficient workflow can produce. Here you’ll put the principles of GitOps into practice, exploring how infrastructure as code (IaC) can help you get more done with fewer resources.

The Amazon Elastic Block Store (EBS) service should provide high-performance block storage for Amazon EC2 instances. Yet, without careful management, Amazon EBS can become inefficient, leading to performance bottlenecks and cost overruns. For example, EBS volumes persist even after an EC2 instance has been terminated. The unused EBS volumes continue to incur costs.

This article compares OpenTelemetry and traditional APM tools with their strengths, weaknesses, and ideal use cases to help you choose the right solution for your application performance monitoring needs.

Today, businesses are increasingly reliant on their ability to provide uninterrupted service and respond swiftly to any disruptions. Whether it's a website outage, a malfunctioning application, or hardware failure, downtime can significantly affect a company's operations. Customers expect quick resolutions, and delays can result in dissatisfaction, loss of trust, and ultimately, business failure.

Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.

In blog one of this series, we discussed how orchestration is about data. In blog two, we talked about how effective orchestration with advanced data management techniques can be used to develop a digital twin. In this blog, we will discuss what we can do with all that data. More specifically, we’ll take a look at using data-empowered RAG AI to deliver stateful orchestration.

In a time where sustainability is a critical concern, data centers play a pivotal role in shaping the future of environmental responsibility. Power Usage Effectiveness (PUE) is a core metric in assessing the energy efficiency of data centers. But how exactly does PUE relate to sustainability, and what role does it play in the broader context of ecological responsibility?