As Kubernetes celebrates its 10th anniversary, it’s an opportune moment to reflect on the profound impact Kubernetes has had on the cloud technology landscape. Since its inception, Kubernetes has revolutionized the way we deploy, manage, and scale containerized applications, becoming the de facto orchestration platform for today’s cloud-native ecosystem.

Over the last few decades, software systems have grown complex due to the emergence of cloud-native architectures and multi-cloud environments. On the one hand, this makes it difficult to detect issues faster in the deployed application. It also requires intricate coordination between development, DevOps, and SRE teams, as they are also expected to speed up the whole software delivery process.

OpenTelemetry is an open-source observability framework designed to capture distributed traces and metrics from applications and services. It provides a standardized way to collect, process, and export telemetry data to various backends like tracing systems, monitoring platforms, and logging tools. OpenTelemetry, currently an incubating project at the Cloud Native Computing Foundation, is the merger of two popular observability projects: OpenTracing and OpenCensus.

Tool sprawl, further compounded by the inflexibility of legacy tools, poses a major challenge for government IT teams. As agencies work to deliver the digital services their constituents demand, their digital ecosystems have grown to comprise numerous apps, systems and microservices, all specific to the individual IT components of the experience. With disparate tools and systems leading to siloed insights, higher costs, and increased complexity, it’s easy for technical debt to get out of hand.

For data-critical and data-intense sectors, like energy and renewables, access to data can be a make-or-break situation. As the complexity of the systems underpinning energy operations increases, collecting and analyzing that data is more challenging than ever before. Therefore, understanding what data sources are necessary, where they sit in the tech stack, and how they scale across an organization ‌is crucial for obtaining the insights energy companies need to maintain and optimize operations.

Snowflake is an AI data cloud platform that breaks down silos within an organization to enable wider collaboration with partners and customers for storing, managing, and analyzing data. With Snowpark and Snowpark Container Services (SPCS), organizations can leverage a set of libraries and execution environments directly in Snowflake to build applications and pipelines with familiar programming languages like Python and Java, all without having to move data across tools or platforms.

The 2024 EMA Network Megatrends surveyed hundreds of IT professionals about their approach to managing, monitoring, and troubleshooting their networks. In this post, we examine the report’s findings to learn the business and technology trends shaping network operations strategy.

When you want to host your website, you have many choices. Two common choices are cloud hosting and shared hosting. In this article, we'll compare these two hosting types, looking at their performance, security, reliability, scalability, and flexibility. By understanding the differences between cloud hosting and shared hosting, you can choose the best option for your website's needs.

Observability is a broad topic that provides visibility into the key metrics powering customer-facing applications. These applications range from external facing applications ( e.g., Internet banking/online education/e-commerce/government records ) to internal facing applications ( e.g., Trading systems by brokers, Logistics controllers, Traffic Management, and Hotel Reservations). Observability also incorporates backend systems powering industries that ensure smooth operations of tools and processes.

Welcome to this blog series which explores innovative uses of Ubuntu Core. Throughout this series, Canonical’s Engineers will show what you can build with this Core 24 release, highlighting the features and tools available to you. In this third blog, Farshid Tavakolizadeh, engineering manager from our Industrial team, will show you how to build a Matter lighting device with a Raspberry Pi.