As we reflect on AWS re:Invent 2023, the Coralogix team is invigorated by the incredible response and feedback we received from the thousands of participants who visited our booth. It was clear that a recurring theme among companies is the need for an observability solution that not only scales affordably with increasing data volumes but is also at the forefront of innovation. Coralogix stands out as the ideal match for these requirements.
With the rise of cloud computing, containerization, and microservices architecture, developers are adopting new approaches to building and deploying applications that are more scalable and resilient. Microservices architecture, in particular, has gained significant popularity due to its ability to break down monolithic applications into smaller, independent services.
PyTorch is an open-source machine learning (ML) framework that accelerates the path from research prototyping to production deployment. You can work with PyTorch using regular Python without delving into the underlying native C++ code. It contains a full toolkit for building production-worthy ML applications, including layers for deep neural networks, activation functions and optimizers. It also has associated libraries for computer vision and natural language processing.
Introducing the latest update of Alloy mobile apps with the ability to connect to Alloy Navigator by scanning a QR code.
Kubernetes is an excellent solution for building a flexible and scalable infrastructure to run dynamic workloads. However, as our cluster expands, we might face the inevitable situation of scaling and managing multiple clusters concurrently. This notion can introduce a lot of complexity for our day-to-day workload maintenance and adds difficulty to keep all our policies and services up to date in all environments.
A deep dive into networking reveals a plethora of protocols and methodologies. One such protocol that stands out is the Asynchronous Transfer Mode (ATM), a switching technique designed to unify telecommunication and computer networks.
With the release of Grafana 10.2, we made a number of enhancements to Grafana Alerting. These updates included the rollout of Insights, a new section of the Grafana Alerting home page. Available now to all Grafana Cloud users, Insights offers valuable information, such as statistics on alert rules and notifications, to help you monitor alerting data and quickly analyze alert performance.
In the blink of an eye, 2023 has come to an end and the data center industry saw lots of movement towards sustainability, AI, and operational efficiency. Data center management is ever-changing and evolving, and it’s important to stay on top of the latest trends to guide you to success in the new year. With 2024 just days away, here are the top 10 emerging data center management trends that you should watch out for.
This is the first part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. Hey there! Here is my take on what synthetic monitoring means and why it’s awesome! I think it’s a very complicated word for a very straightforward concept. In fact, I am convinced, that once you've used it, you will never want to live without it.
Internally, VictoriaMetrics makes heavy use of sync.Pool, a data structure built into Go’s standard library. sync.Pool is intended to store temporary, fungible objects for reuse to relieve pressure on the garbage collector. If you are familiar with free lists, you can think of sync.Pool as a data structure that allows you to implement them in a thread-safe way.
