A radiologist reviewing a patient’s case needs immediate access to imaging files. A clinician preparing for an appointment must be able to open a patient’s Electronic Health Record (EHR) without delay. A surgeon in a remote location relies on an uninterrupted connection to join a critical telehealth consultation. In each case, the underlying network infrastructure … continue reading
Kubernetes has become the standard for container orchestration. It’s also notoriously challenging to manage when incidents arise. These incidents can come in many shapes and sizes, with their complexity forcing responders into firefighting mode. As a result, teams frequently end up chasing symptoms rather than finding and fixing the underlying cause. While Kubernetes incidents may … continue reading
The AI boom is reshaping application architectures. Large Language Model (LLM) inference has fundamentally altered the requirements of the Kubernetes networking stack. Kubernetes is now the default environment for scheduling GPU-accelerated workloads, but the last mile of delivery — connecting a user request to the optimal model instance — is increasingly a bottleneck. Traditional ingress … continue reading
The architectural patterns that powered the microservices revolution are showing their age. When my peers and I began designing distributed systems for companies like Cisco, Amazon, and Palo Alto Networks, we optimized for stateless, horizontally scalable services with predictable resource consumption. AI workloads follow a different set of rules. Transformer architectures demand frequent synchronization of … continue reading
As an IT leader, you are constantly balancing the need for operational efficiency with the demand for innovation. You likely look at your organization and see a fragmented landscape. On one side, you have the network operations team managing the physical backbone of your enterprise; the routers, switches, and firewalls that form the foundation of … continue reading
While there are numerous benefits to bringing IT and OT together, achieving success requires thoughtfully addressing a number of challenges. Running virtual machines (VMs) in OT environments alongside containers in IT environments allows companies to combine the isolation and stability of VMs with the agility of containerized applications. However, both have different requirements that must … continue reading
Containerization and virtualization are transformative technologies, each with unique strengths. When combined, they unlock unparalleled potential for edge environments, enabling businesses to achieve greater efficiency, resilience, and scalability. To better understand their unique strengths, Rudy de Anda, head of strategic alliances at Penguin Solutions, explains their complementary roles. Virtual machines (VMs) are good when it … continue reading
Remember that piece I wrote a little while back, “Everything You Ever Wanted to Know About Network Bandwidth“? I promised then that we’d tackle the often-thorny issue of capacity planning. Well, today’s the day. So, what exactly is capacity planning? At its heart, it’s about ensuring your network has the resources – the bandwidth, the … continue reading
Some 98% of companies participating in Broadcom’s “Enterprise AI and the Data Problem” AI adoption survey say they are deploying AI solutions, yet challenges relating to data management, visibility, security and governance are hindering success. “AI is delivering real business value, but it isn’t without its challenges,” Aline Gerew, head of automation for the Agile … continue reading
While Kubernetes succeeded in reshaping how we think about infrastructure, it hasn’t eliminated the operational burden that comes with managing stateful services like databases. The very flexibility that makes Kubernetes so powerful has also given rise to sprawling toolchains, inconsistent patterns, and fragile integrations. For the DevOps tasked with keeping platforms stable and secure, Kubernetes … continue reading
The rapid advancements in Artificial Intelligence (AI), particularly the ascent of Large Language Models (LLMs), have sparked widespread discussion about their potential to revolutionize various industries. Within network operations, where vast volumes of time-series data are generated continuously, there is a natural curiosity about whether LLMs can significantly enhance, or even replace, established analytical methods … continue reading
Many infrastructure teams default to “put everything in containers.” Kubernetes makes it simple to deploy and manage services at scale, so databases often get pulled along for the ride. However, databases aren’t just another microservice. They rely on predictable performance from CPU, memory, storage, and networking – and containers can get in the way of … continue reading
Today, the telecommunication industry stands at a critical inflection point. Telecommunications firms (telcos) face structural challenges that demand fundamental transformation. While the options and opportunities are numerous, one thing is clear: Sticking with the same services and legacy monitoring tools is a recipe for failure, now and over the long term. Here are just a … continue reading
Today’s service providers are operating in an era of relentless digital evolution, a time when standing still means falling behind. As they navigate a brutal battleground of cutthroat competition and sky-high customer demands, continued innovation is a must. To ensure their growth and very survival, managed service providers (MSPs), communication service providers (CSPs), and telecommunication … continue reading