Operations | Monitoring | ITSM | DevOps | Cloud

Go, often referred to as Golang, is a popular programming language built by Google. Its design and structure help you write efficient, reliable, and high-performing programs. Often used for web servers and rest APIs, Go offers the same performance as other low-level languages like C++ while also making sure the language itself is easy to understand with a good development experience.

As businesses evolve, so too do the demands placed on departments and teams. Whether you're in a shared services environment or leading a specialized department, scaling effectively means adding capacity without sacrificing quality or performance. When done right, growth can accelerate productivity, align team goals with the company’s objectives, and foster innovation. However, to do this efficiently, you need the right processes and tools in place.

As remote work and digital collaboration become increasingly prevalent, businesses are turning to virtual assistants (VAs) to streamline operations, reduce overhead costs, and boost productivity. Virtual assistants can handle a wide range of tasks, from administrative duties to specialized project support. However, effectively managing VAs requires intentional planning, the right tools, and clear communication to ensure tasks are completed on time and align with business goals.

In today’s high-paced business world, corporate anxiety and productivity anxiety have become increasingly common, affecting employees and leaders alike. As organizations grow and expectations rise, the pressure to consistently deliver results can quickly lead to stress, burnout, and inefficiency. The overwhelming demand to perform can drive individuals to work longer hours and make hasty decisions, often without gaining any real control over their workspace.

Using SQL Server Integration Services, you can perform all kinds of operations on your company’s data. Through a user-friendly environment with a relatively easy learning curve, you can create a vast range of complex and scalable data-rich solutions. Moreover, all of this is done within an easy-to-use IDE, where coding is often unnecessary for most common tasks. Fitting naturally into Microsoft environments, SSIS is also capable of connecting with diverse data sources and destinations.

This blog post is part of our data centre networking series.

SRE, DevOps and Platform Engineering are important concepts in today's world of software development. There are dedicated teams to manage these areas, each with a unique primary focus, set of responsibilities, tools and metrics used to gauge their performance requirements. This article explains SRE, DevOps, and Platform Engineering, including similarities and differences, and, most importantly, how these teams help streamline modern software development, delivery, and maintenance processes.

As your organization scales its applications across many different cloud and SaaS providers, it becomes more challenging to understand your costs. You likely receive your bill at the end of the month, meaning you don’t have real-time visibility into who’s spending what and which services or applications your teams are spending the most on. Changing service costs also makes it difficult to break down your costs and identify what is driving spend, leaving you unable to take action.

One Ruby feature that embodies the principle of “optimizing for programmer happiness” is how the language uses garbage collection (GC) to automatically manage application memory. But as Ruby apps grow, GC itself can become a big consumer of system resources, and this can lead to high CPU usage and performance issues such as increased latency or reduced throughput.

With the increased adoption of the Industrial Internet of Things (IIoT), connected devices and sensors generate vast amounts of data, and you’ll need an effective way to capture, store, and visualize all of it. With effective data visualization and analysis, you can transform raw data into actionable insights and make informed decisions. This post will break down tools like Grafana, Node-RED, and time series databases, including their benefits to your IIoT workload.