From infrastructure and chipsets to data solutions and development tools, it’s clear that artificial intelligence will play a massive role in the future of the cloud. Read Justin Ryburn’s latest recap to learn about many of the exciting unveilings at Google Cloud Next 2024.

As complex as Kubernetes is, much of it can be distilled to one simple question: how do we keep containers available for as long as possible? All of the various utilities, features, platform integrations, and observability tools surrounding Kubernetes tend to serve this one goal. Unfortunately, this also means there’s a lot of complexity and confusion surrounding this topic. After all, most people would agree that availability is important, but how exactly do you go about achieving it?

The biggest driver behind the Internet of Things (IoT) is the value that can be unlocked through data analytics. When you have hundreds, thousands, or millions of devices capable of reporting on an almost unlimited number of attributes, statuses, or environmental factors, the opportunity for businesses to create optimisations or brand new revenue streams is huge.

While last month’s Enterprise Connect 2024 (EC24) show seemed a bit light in terms of headline news, it did offer one high impact storyline around the integration of AI services with the PSTN. EC24 showcased the addition of AI services, including transcription and meeting minutes, to PSTN call using popular UC services (Teams, Zoom, Webex, Ring Central). While these have been in place for conference calls for almost a year, AI for one-to-one calls via the PSTN is new in 2024.

Innovative cybersecurity measures play a crucial role in safeguarding digital assets and critical infrastructure in an increasingly interconnected world. At SolarWinds, we’re passionate about understanding evolving cyber risks and committed to the public-private partnerships needed to combat threats.

Apache Spark is an open-source, distributed application framework designed to run big data workloads at a much faster rate than Hadoop and with fewer resources. Spark leverages in-memory and local disk caching, along with Apache Spark is an open-source, distributed application framework designed to run big data workloads at a much faster rate than Hadoop and with fewer resources.

Network performance plays a key role in service delivery, acutely impacting user experience. However, enterprise teams have long struggled with comprehensive insight into network performance and, when necessary, the ability to hold circuit vendors accountable.

Oh, I didn't see you there. Hi, I'm Kevin, a developer here at Honeybadger. I've worked for the last year or so developing Honeybadger Insights, our new logging and observability platform. Let's peek into some of the design decisions and philosophy behind the product. In modern software development, the hunt for observable systems has traditionally revolved around the holy trinity of logs, metrics, and traces.

Despite advances in the world of observability, log management hasn’t evolved much in recent years. Users are familiar with the experience of Kibana or OpenSearch Dashboards (OSD), but those don’t always meet modern use cases. Logz.io is ready to change the conversation with the introduction of Explore, the new path forward for Log Management for users of the Logz.io Open 360™ observability platform.

In the complex world of modern distributed systems, observability is vital. Observability allows engineers to understand what's happening within their systems, debug issues rapidly, and proactively ensure optimal application performance. OpenTelemetry has emerged as a powerful, vendor-neutral solution to address the challenges of observability across different technologies and environments.