Platform.sh was built on a set of core principles: positive impact, caring for others, fairness, aiming for the stars. Since 2015, our founders have followed their own true north, creating a cloud application platform and technologies that would make developers’ daily lives easier. Like most for-profit businesses, the leadership team sought marketplace differentiation. Revenue growth. Continuous innovation. But they wanted something more.

In Software development, code readability transforms complexity into clarity. Martin Fowler said: Code should be readable and manageable so other developers can understand and work without additional fatigue. .NET has many ways to enhance readability and manageability. This post will explore C#'s extension methods by listing five use cases that I use on all of the ASP.NET Core projects I'm working on.

When managing an enterprise-level network, ensuring seamless synchronization between servers is crucial for maintaining consistency and security. That's where Repadmin, a command-line tool designed for diagnosing and managing Active Directory (AD) replication, comes into play. It is an essential tool for IT administrators working in Windows Server environments, providing deep insights into the health of replication processes within the network.

Managing and discovering assets is critical for organizations of all sizes. The right asset discovery tool can provide visibility into your infrastructure, helping you maintain control over hardware, software, and network components. With an array of options available, selecting the tool that best fits your organization's needs can be challenging.

Collection agents emerged to alleviate the pain of having log files distributed around your application servers. However, they brought new problems since each log analysis tool wanted its own agent, trading in its own protocols and/or formats, usually targeting only a single use case. Meaning you had to install multiple agents for different use cases. Onboarding data and managing all these agents seems to be an afterthought.

Refinery is Honeycomb’s sampling proxy, which our largest customers use to improve the value they get from their telemetry. It has a variety of interesting samplers to choose from. One category of these is called dynamic sampling. It’s basically a technique for adjusting sample rates to account for the volume of incoming data—but doing so in a way that rare events get more priority than common events. Honeycomb’s query engine can compensate for sampling rates on a per-event basis.

Software as a Service (SaaS) is growing at a rapid rate with businesses increasingly reliant on cloud-based solutions. According to the 2024 State of SaaS Growth report, organisations globally now use an average of 371 SaaS applications. This surge in adoption means that IT leaders are tasked with managing a more complex environment, which comes with a suite of challenges. To ensure the performance, security and reliability of these services, network connectivity is critical.

In the ever-evolving IT landscape, new buzzwords and acronyms seem to emerge almost daily, each promising to revolutionize how we manage technology. One such term that’s gaining traction is Service Orchestration and Automation Platforms (SOAPs). You’ve probably seen the news by now: Gartner just released their latest Magic Quadrant for Service Orchestration and Automation Platforms.

As part of Pulsant’s commitment to make a positive difference to our environment, we recently pushed ourselves forwards in value chain engagement and brought together a cohort of SME suppliers for a series of in-person decarbonisation workshops. In association with sustainability specialists SLR Consulting, our investment in these sessions supported our suppliers in understanding the landscape of decarbonisation and establishing their own action plans.

Kentik Data Explorer is a powerful tool designed for engineers managing complex environments. It provides comprehensive visibility across various cloud platforms by ingesting and enriching telemetry data from sources like AWS, GCP, and Azure, and with the ability to explore data through granular filters and dimensions, engineers can quickly analyze cloud performance, detect security threats, and control costs in real-time exploration and historically.