In the ever-evolving landscape of technology, engineers are the architects of the digital world. Their expertise shapes the platforms, applications, and services that define our daily interactions with technology. Yet, in the pursuit of innovation and functionality, there's one crucial aspect that often takes a backseat—site reliability. Site reliability engineering (SRE) has emerged as a critical discipline in the realm of software development and operations.

Malware as a Service (MaaS) is a direct replica of the Software as a Service (SaaS) business model you’re already familiar with. In the same way that SaaS customers are able to purchase software via rapid and scalable licensing, online communities of threat actors have paved the way toward a highly efficient, distributed malware economy of their own. Malware distribution used to be direct – usually from the same attacker or group as those that created it.

In the ever-evolving landscape of digital connectivity, businesses face a relentless demand for faster, more reliable networks. Whether it’s the surge in remote work, the proliferation of devices that can connect to the internet, or the exponential growth of data-intensive applications, the strain on network infrastructure is ever-growing. In this era where every byte counts, network capacity planning emerges as a critical strategy for organizations seeking to stay ahead in the digital race.

Devices without a Configuration Manager (SCCM) client present or functioning properly represent significant compliance issues. In addition, detecting, troubleshooting, and remediating the root cause of broken clients can be a lengthy process for support agents. When the client goes dark, support agents are often unaware of the issue until a ticket is raised.

With users today expecting speed, reliability, and responsiveness from every application they use, the delivery of seamless experiences across various platforms becomes essential for organizations. Caching solutions like Redis play a vital role in these ecosystems by storing frequently accessed data in memory, reducing the need to retrieve it from slower back-end systems, such as databases.

The internet serves as the backbone for communication, collaboration, and access to information in today’s digital world. However, despite its widespread use and importance, the internet is not immune to reliability issues. From occasional slowdowns to complete outages, internet users often encounter disruptions that can impact their productivity and connectivity. Several factors contribute to internet unreliability.

Machine learning (ML) platforms such as Amazon Sagemaker, Azure Machine Learning, and Google Vertex AI are fully managed services that enable data scientists and engineers to easily build, train, and deploy ML models. Common use cases for ML platforms include natural language processing (NLP) models for text analysis and chatbots, personalized recommendation systems for e-commerce web applications and streaming services, and predictive business analytics.

On this episode of Densify Talks, we welcome Gokul Naidu, Senior Manager, Cloud Operations for SAP’s SuccessFactors Product Suite. Andrew and Gokul discuss an array of topics in the episode. The general theme of the discussion focuses on cost management and the importance of being prepared, aware, and executing the right planning in order to avoid sticker shock.

We’re proud to announce the general availability of Power IQ® 9.1, the latest version of Sunbird’s DCIM Monitoring software. This release includes exciting new features including load shift detection, enhanced Raritan and Server Technology bulk firmware update, and residual current monitoring (RCM) Type B.

With the advent of microservices and cloud native, organizations are shifting how they approach software development and deployment to become more agile and respond quickly to continually evolving business needs. These changes result in fundamental transformation for IT.