Operations | Monitoring | ITSM | DevOps | Cloud

There are tons of tools to choose from when it comes to visualizing data, but Grafana has become one of the best ways for organizations to visualize information and get notified about events happening within their infrastructure or data. According to Kubernetes: In this article, we will take a look at the best practices for monitoring Kubernetes using Grafana.

The Kubernetes networking landscape is shifting. The traditional Kubernetes Ingress approach is being complemented and, in some cases, replaced by a more powerful, flexible, and extensible standard: the Kubernetes Gateway API. Kubernetes has become the go-to platform for orchestrating and managing containerized applications. A key aspect of Kubernetes that's crucial for the functionality of these applications? Networking.

In the constantly evolving world of technology, managing containerized applications at a scale that can match growing business demands is a challenging task. Microsoft, however, has emerged as a leader in this field, offering the Azure Kubernetes Service (AKS). AKS is a managed container orchestration service that provides a rich and robust platform for developers to deploy, scale, and manage their applications.

We’re pleased to announce that the Komodor platform has published an Amazon Elastic Kubernetes Service (Amazon EKS) Blueprints CDK Add-On. Amazon EKS is a managed Kubernetes service that streamlines the deployment and scaling of cloud-based or on-prem K8s clusters.

Kubernetes has emerged as the de facto standard for container orchestration, with its ability to automate deployment, scaling, and management of containerized applications. However, even with the best practices and expertise, Kubernetes deployment can sometimes be a complex and challenging process. It involves multiple layers of infrastructure, including the application, Kubernetes cluster, nodes, network, and storage, and each layer can have its own set of issues and challenges.

Get to know the differences between cloud-native and cloud-based applications, their benefits, and why a cloud-native tool like Cloudsmith is a game-changer for efficient and secure software artifact management. The term 'cloud' has become a buzzword in the tech industry, often used interchangeably to describe anything from online storage to complex computing services. But what does it really mean? And more importantly, what does it mean for your business?

We’re excited to introduce a dedicated Grafana Cloud solution for Apache Mesos, an open-source project for managing clusters in your data center and at cloud scale. Apache Mesos is a distributed systems kernel, running on every machine in a cluster and providing easy orchestration of every resource in the cluster. This allows you to treat compute units, memory, and disk as a single pool of resources.

The Kubernetes & Cloud Native Glossary This post will provide you with an A-Z guide of terms associated with Kubernetes and Cloud Native. Through this, we have compiled a list of over 100 terms with the aim of helping you understand the terminology required to start learning about Kubernetes and Cloud Native. Back to Start.

In Part 1 of this series, you learned the core components of Kubernetes, an open-source container orchestrator for deploying and scaling applications in distributed environments. You also saw how to deploy a simple application to your cluster, then change its replica count to scale it up or down. In this article, you’ll get a deeper look at the networking and monitoring features available with Kubernetes.

This July, the community spirit was profoundly vibrant in the scenic city of Munich, as Kubernetes Community Day (KCD) Munich brought together a meeting of minds and inspired the open-source collaboration we all know and love. The event was a testament to the strength and vitality of the Kubernetes community, which pulsed with an energy of shared intellectual curiosity and passion for all things Kubernetes.

In this blog post, we will explore the concept of Kubernetes topology aware routing and how it can enhance network performance for workloads running in Amazon. We will delve into topology aware routing and discuss its benefits in terms of reducing latency and optimizing network traffic flow. In addition, we’ll show you how to minimize the performance impact of overlay networking, using encapsulation only when necessary for communication across availability zones.

In the dynamic landscape of software development, the terms DevOps and Platform Engineering have garnered attention. Both concepts, although distinct, aim at a shared goal: to build efficient, streamlined systems that simplify code deployment within organizations.

This post was written by Talha Khalid, a full-stack developer and data scientist who loves to make the cold and hard topics exciting and easy to understand. No one has any doubt that microservices architecture has already proven to be efficient. However, implementing security, particularly in an immutable infrastructure context, has been quite the challenge.

As enterprise architecture and technology innovation leaders, it's crucial to understand the benefits, limitations and best practices associated with building cloud native apps and modernizing legacy workloads. Gartner recently published a worthwhile read addressing what keeps CTOs up at night while assessing Kubernetes and container adoption.

Architecting cloud instrumentation to secure a complex and diverse enterprise infrastructure is no small feat. Picture this: you have hundreds of virtual machines, some with specialized purposes and tailor-made configurations, thousands of containers with different images, a plethora of exposed endpoints, s3 buckets with both public and private access policies, backend databases that need to be accessed through secure internet gateways, etc.

Managing an application's dependencies and tech stack across numerous cloud and development environments is a regular difficulty for DevOps teams. Regardless of the underlying platform it uses, it must maintain the application's stability and functionality as part of its regular duties. However, one possible solution to this problem is to create an OS image that already contains the required libraries and configurations needed to run the application.

In Kubernetes, networking holds immense significance as it enables seamless communication among various components and facilitates uninterrupted data flow. To allow pods within a Kubernetes cluster to engage with other pods and cluster services, each of them requires an exclusive IP address. Consequently, networking solutions in Kubernetes encompass more than mere interconnecting machines and devices.

New playbooks can help detect issues automatically and provide support when troubleshooting your GKE environment.

Put simply, Kubernetes is an orchestration system for deploying and managing containers. Using Kubernetes, you can operate containers reliably across different environments by automating management tasks such as scaling containers across Nodes and restarting them when they stop. Kubernetes provides abstractions that let you think in terms of application components, such as Pods (containers), Services (network endpoints), and Jobs (one-off tasks).

In the ever-evolving landscape of enterprise technology, certain milestones mark the transition from innovation to recognition by early adopters to widespread adoption. Gone are the days when Kubernetes was just a segmented buzzword or something only the tech-savvy companies played with. Today, it's a force to be reckoned with, and we need to take a closer look at what it means for us.

Anna Kapuścińska is a Software Engineer at Isovalent, who has a rich experience wearing both developer and SRE hats across the industry. Now she works on Isovalent observability products such as Hubble, Tetragon, and Timescape, as well as the respective Grafana integrations for all of them.

Greetings, Kubernetes Time Lords! Through a series of recent updates to our multi-purpose Kubernetes Monitoring solution in Grafana Cloud, we’ve made it easier than ever to assess your resource utilization, whether you’re looking at yesterday, today, or tomorrow. All companies that use Kubernetes, regardless of size, should monitor their available resource utilization. If a fleet is under-provisioned, the performance and availability of applications and services are at serious risk.

We’re thrilled to announce new feature updates for Logz.io’s Kubernetes 360 to provide deeper visibility and additional troubleshooting capabilities for your Kubernetes environment.

Container monitoring refers to the process of monitoring and managing containers deployed within a containerization platform, such as Docker or Kubernetes. As containerization has become increasingly popular in software development and deployment, monitoring and managing containerized environments has become increasingly important.

If you’ve been anywhere in the DevOpsphere in recent times, you have certainly encountered the Platform Engineering vs. DevOps vs. SRE debates that are all the rage. Is DevOps truly dead?! Is Platform Engineering all I need?! Have I been doing it wrong all along? These have become more popular than the mono vs. multi-repo flame wars from a few years back.

In Linux, network-based applications rely on the kernel’s networking stack to establish communication with other systems. While this process is generally efficient and has been optimized over the years, in some cases it can create unnecessary overhead that can impact the overall performance of the system for network-intensive workloads such as web servers and databases.

Health checks are an important factor when working with containerized applications in the cloud and are the source of truth for many applications in terms of their running status. In the context of AWS Elastic Container Service (ECS), health checks are a periodic probe to assess the functioning of containers. In this blog, we will explore how Lumigo, a troubleshooting platform built for microservices, can help provide insights into container crashes and failed health checks.

On this episode of Densify Talks, Josh and Andrew discuss automated instance selection and the importance of letting machines make the resource decisions as cloud environments scale. Speaking from the perspective of a hardware manufacturer, Josh offers unique insight into some of the criteria that affect the performance and cost of hosting apps in the cloud, and how to leverage “optimization as code” to automate the optimization process.

Wouldn’t it be great if Rancher could provision and manage not only Kubernetes clusters but also the OS running on the cluster nodes? This is the goal we had in mind when we started working on Elemental. Elemental adds to Rancher the ability to install and manage a minimal OS based on SUSE Linux Enterprise technology, delivered and managed in a fully cloud native way. This simplifies the infrastructure (you only need a container registry) and day 2 operations.