If you have ever faced performance issues in an application, whether it's sluggish load times, long processing delays, or poor scalability you have probably been told that optimizing the code or database is the solution. But what does that really mean in practice? A lot of the time, it boils down to one of two causes: either a poorly optimized algorithm (often with quadratic or exponential time complexity) or an inefficient database query.

Kubernetes offers the ability to scale infrastructure to accommodate fluctuating demand, enabling organizations to maintain availability and high performance during surges in traffic and reduce costs during lulls. But scaling comes with tradeoffs and must be done carefully to ensure teams are not over-provisioning their workloads or clusters. For example, organizations often struggle with overprovisioning in Kubernetes and wind up paying for resources that go unused.

While overprovisioning Kubernetes workloads can provide stability during the launch of new products, it’s often only sustainable because large companies have substantial budgets and favorable deals with cloud providers. As highlighted in Datadog’s State of Cloud Costs report, cloud spending continues to grow, but a significant portion of that cost is often due to inefficiencies like overprovisioning.

Custom resources are critical components in Kubernetes production environments. They enable users to tailor Kubernetes resources to their specific applications or infrastructure needs, automate processes through operators, simplify the management of complex applications, and integrate with non-native applications such as Kafka and Elasticsearch.

Why do services need API monitoring? Application programming interfaces (APIs) have become indispensable for digital business. Forbes found that 98% of developers consider APIs to be crucial to getting their work done, and 86% of developers expected their use of APIs to increase. A survey by McKinsey found that 88% of banking companies believe APIs are increasing in importance; 81% think APIs are a priority for business and IT.

We are pleased to announce the results of new research conducted by Dimensional Research and sponsored by Broadcom, which found broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams.

MetrixInsight for Citrix Logon Simulator is a powerful tool built on the GripMatix Logon Simulator for Citrix to ensure optimal performance and reliability within Citrix environments. By continuously conducting synthetic logon transactions, it enables IT teams to proactively monitor Citrix logon performance, addressing issues before they affect users.

Generative AI (GenAI) is still in its infancy, but its impact is already being felt across industries. Over the past year, production applications leveraging GenAI have gone from proof-of-concept to delivering real-world value. According to the World Economic Forum, 75% of surveyed companies plan to adopt AI technologies by 2027. Leading cloud providers like AWS are making significant investments.

Is your cloud infrastructure turning into a money pit? Despite the promise of scalability and cost-effectiveness, many businesses need help with efficient resource utilization, sluggish performance, and spiraling expenses in their cloud environments. Applications grinding to a halt during peak business hours or receiving a monthly bill that makes your CFO break out in a cold sweat are not situations you want to be in.