Application performance monitoring (APM) involves a mix of tools and practices to track specific performance metrics. Engineers use APM to monitor and maintain the health of their applications and ensure a better user experience. This is crucial to high quality architecture, development, and operations, but it can be difficult to achieve in Kubernetes since the container orchestration system doesn’t provide an easy way to monitor application data like it does for other cluster components.

In this article, we will dive into Kubernetes network monitoring and metrics, examining these concepts in detail and exploring how metrics in an application can be transformed into tangible, human-readable reports. The article will also include a step-by-step tutorial on how to enable Calico’s integration with Prometheus, a free and open-source CNCF project created for monitoring the cloud.

We’re pleased to announce the availability of Kubewarden 1.5.0! This release brings the usual amount of small bug fixes, dependency updates, and a major security enhancement. Let’s take a closer look!

If you need to deploy a lot of microservices at once and manage them at scale, Kubernetes is hard to beat. But Kubernetes also brings additional complexity that you just might not need. You would be smart to ask yourself these three questions before getting started with Kubernetes.

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).

There are instances in which organizations miss the opportunity to improve their infrastructure and gain competitive advantages by clinging to entrenched, well-worn technologies with which they are comfortable. This is the case with Terraform and Cluster API (CAPI). When explaining to various organizations the benefits they could gain through CAPI, I have heard hesitant responses such as.

How is your organization handling Kubernetes observability? What tools are you using to monitor Kubernetes? Is it a time-consuming, manual process to collect, store and visualize your logging, metrics and tracing data? And, what are you actually getting out of all that investment? At Logz.io we’re trying to make this process easier for customers who are serious about Kubernetes observability. We’ve made significant investments in this area for Kubernetes use cases.

Many organizations rely on distributed tracing in Datadog APM to gain end-to-end visibility into the performance of their Kubernetes applications. But as teams grow, it can become impractical for them to manually configure each new application with the libraries and environment variables needed for tracing.

Kubernetes turns 9 this year and with its maturity each year, it brings new challenges that drive seismic influence across the rapidly changing cloud native ecosystem. Each year we see new tools created and existing solutions optimized from new lightweight distributions, new features across Kubernetes management platforms, and container security solutions, all adding value to users but simultaneously contributing to the complexity are facing to run Kubernetes successfully.

Kubernetes makes it easier for businesses to automate software deployment and manage applications in the cloud at scale. However, if you’ve ever deployed a cloud native app, you know how difficult it can be to keep it healthy and predictable. DevOps teams and SREs often use distributed tracing to get the insights they need to learn about application health and performance.

2022 has been a year full of new releases, new events, and new projects for Open Source Calico. Let’s take a look at Project Calico’s 2022 highlights and see if you’ve missed any exciting news.

Over time, limitations were found with the programming languages responsible for creating web applications, leading to the development of WebAssembly (WASM). You can leverage WASM to create applications for web browsers using other high-level programming languages than those traditionally used for web development. As a result, developers can now build cloud-native applications that can work more efficiently with Kubernetes and other cloud-native technologies.

In the world of container orchestration, Kubernetes has become the de facto standard. Despite its simplicity in some respects, it has also introduced new levels of complexity in the deployment and management of distributed applications and services. To assist you with understanding the most common kubectl commands & plugins, we've created a cheat sheet as a reference for operations engineers, software engineers, and cloud infrastructure managers who use Kubernetes primarily.

Kubernetes monitoring can be difficult and complex. In order to determine the health of your project at every level, from the application to the operating system to the infrastructure, you need to monitor metrics in all the different layers and components — services, containers, pods, deployments, nodes, and clusters.

In this tutorial, we will walk through the setup of a single-node K3s Kubernetes cluster with Rancher, together with the S3 Gateway (s3gw) and a Longhorn PV (Persistent Volume). This guide will use Digital Ocean, but these instructions will likely work with other cloud providers as well.

Kubernetes has clearly established itself as one of the most influential technologies in the cloud applications and DevOps space. Its powerful flexibility and scalability have inarguably made it the most popular container orchestration platform in modern software development, helping teams manage hundreds of containers efficiently.

By 2025, Gartner estimates that over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021. This momentum of these workloads and solutions presents a significant opportunity for companies that can meet the challenges of the burgeoning industry.

VMware has released new capabilities in VMware Tanzu Application Platform that can continue to elevate the developer and IT operations experiences, as well as ease security management. This blog post outlines the new functionality included in Tanzu Application Platform 1.4, which is generally available now.

Kubernetes, a graduated project of the Cloud Native Computing Foundation (CNCF) ecosystem, is the most prominent and widely used container orchestration systems. It’s used to manage and deploy containers in a wide range of environments, from IoT devices based on Raspberry Pis to enterprise environments consisting of millions of services.

When people hear ‘containers,’ they don’t immediately think about an IT solution that helps businesses create and distribute applications seamlessly. However, the container concept has been around for a long time, helping companies in various industries globally. Containers continue to change the landscape of app development and deployment. This guide below will help you understand containerization and the best orchestration tools to manage containers.

Baking a delicious pizza in a wood-fired oven requires a combination of skill, experience and the right tools. The same is true for achieving optimal observability in a Kubernetes environment. In this post, we'll explore some of the lessons learned from baking pizza in a wood-fired oven and apply them to the world of Kubernetes observability.

Have you ever wondered what it takes to build, deploy, and verify 2,000 applications every single day? In this blog post, we will delve into this specific challenge and take a look at how VMware’s Bitnami can dramatically boost productivity by using VMware Image Builder for automating content production. But let’s start from the beginning, and explore what it takes to build and ship software to users.

Iselin, New Jersey – 19th January 2023 – CloudHedge Technologies, an industry pioneer with its end-to-end Continuous Application Modernization platform, OmniDeq™, has been named Cool Vendor in Cloud-Native Computing by Gartner. The report acknowledges CloudHedge’s ability to securely deliver agile digital transformation and modernization journeys for large-scale enterprises, enhancing their efficiency.

This blog post is a how-to guide for Kubernetes troubleshooting. Our vision is that any engineer can keep Kubernetes-based applications up and running smoothly, regardless of their level of Kubernetes expertise and their knowledge of the services in the environment. Right out of the box, StackState aims to monitor, alert and then guide an engineer directly to the problem, helping them remediate the issue quickly.

Kubernetes has become the preferred tool for DevOps engineers to deploy and manage containerized applications on one or multiple servers. These compute nodes are also known as clusters, and their performance is crucial to the success of an application. If a Kubernetes cluster isn’t performing optimally, the application’s availability and performance will suffer, leading to unhappy users and even revenue loss.

Since the onset of the pandemic and the changes in working patterns that resulted from it, employee welfare has been boosted to the top of the agenda, with this new mindset seeming to be lasting. According to the UK’s Chartered Institute of Personnel and Development, 75% of employees believe senior leaders prioritize well-being as part of business operations.

Over the last couple of decades, a lot has changed in terms of how companies are running their infrastructure. The days of dedicated physical servers are long gone, and there are a variety of options for making the most out of your hosts, regardless of whether you’re running them on-prem or in the cloud. Virtualization paved the way for scalability, standardization and cost optimisation. Containerization brought new efficiencies.

Persistent storage is essential for any account-driven website. However, in Kubernetes, most resources are ephemeral and unsuitable for keeping data long-term. Regular storage is tied to the container and has a finite life span. Persistent storage has to be separately provisioned and managed. Making permanent storage work with temporary resources brings challenges that you need to solve if you want to get the most out of your Kubernetes deployments.

With the release of the D2iQ Kubernetes Platform version 2.4 (DKP 2.4), the best Kubernetes platform just got better, particularly the ability to manage Kubernetes clusters across multi-cloud and hybrid cloud environments. What makes DKP so special? D2iQ’s business is focused solely on creating a container management platform that is as complete and reliable as possible.

Looking back on the last 18 months, it is abundantly clear that one piece of technology found its moment more than any other: cloud. Essential to modern computing, cloud provides the capacity for businesses to run workloads with the flexibility and scale many firms would struggle to achieve with on-premise infrastructure. According to Flexera’s 2021 State of the Cloud Report, 90% of firms slightly or significantly increased their cloud usage due to the pandemic.

We’ve just released Calico v3.25! This milestone release includes a number of eBPF dataplane improvements designed to deliver an even faster upgrade experience, smaller memory footprint, and shorter eBPF networking object load time speed. But before we get into the details of these changes, let’s welcome and thank our new community problem-solvers who got their first contribution requests merged into our beloved project.

Adopting Kubernetes has introduced several new complications on how to verify and validate all the manifests that describe your application. There are several tools out there for checking the syntax of manifests, scanning them for security issues, enforcing policies etc. But at the most basic case one of the major challenges is to actually understand what each change means for your application (and optionally approve/reject the pull request that contains that change).

As we enter a new year, our team has made predictions for the coming year in the Cloud Native ecosystem.

As mentioned in our documentation, Cribl Stream is built on a shared-nothing architecture. Each Worker Node and its processes operate separately and independently. This means that the state is not shared across processes or nodes.This means that if we have a large data set we need to access across all worker processes, we have to get creative. There are two main ways of doing this: In this blog, we’ll walk through how to deploy a Stream leader, Stream worker, and Redis containers via Docker.

Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that enables users to easily run, manage and scale containers on AWS. With ECS, you can deploy containers either on a cluster of Amazon EC2 instances or on AWS Fargate, a serverless computing engine for containers. In this article, we’ll look at how these two launch types compare and explore how to start using them.

I’m pleased to share that G2, the world’s largest and most trusted tech marketplace, has recognized our solutions in its 2023 Winter Report. We received a total of 15 badges across our business units for Rancher, SUSE Linux Enterprise Server (SLES), SLE Desktop and SLE Real Time – including the Users Love Us badge for all products – as well as three badges for the openSUSE community with Leap and Tumbleweed.

To get the best performance out of your Kubernetes cluster, SREs and software engineers must have enough knowledge and instruments to find misconfiguration and bottlenecks. At the same time, thanks to Kubernetes’ ever-growing popularity, there is a global shortage of expertise on the platform.

In 2022, Kubernetes continued to mature and gain widespread adoption as it crossed the chasm into the mainstream. Following are the predictions we see for Kubernetes in 2023.

This article was priginally published on the CNF blog and is written by Cameron Pavey. Scroll down for the author’s bio. Docker is an increasingly popular choice for businesses dealing with containerized applications. However, as with any new technology, Docker introduces complexities that need to be managed. Some of these complexities relate to infrastructure and application monitoring.

Public cloud users continue to get stung by unexpected costs due to the challenges faced when working with or moving workloads into the cloud. When organizations see this surge in their costs, it typically requires the process of cloud cost optimization to tackle the problem. Cloud cost optimization is the task of minimizing cloud spending by enforcing best practices and appropriate cost-efficient resources.

Cloud computing and the use of cloud native architectures enable unparalleled performance, flexibility, and velocity. The speed of innovation has driven significant advancements across industries, but as digitalization continues pushing applications and services to the cloud, bad actors’ intrusion techniques have also become more sophisticated.

We Just celebrated 10 year birthday to Prometheus last month. Prometheus was the second project to join the Cloud Native Computing Foundation after Kubernetes in 2016, and has quickly become the de-facto way to monitor Kubernetes workloads. The plug-and-play experience, just putting Prometheus server and starting to see metrics flowing in tagged with Kubernetes labels, was a compelling offer.

I’m so excited to share with the world that today Komodor has officially transitioned to a freemium model, and made all of its great features available to small teams for FREE! Now, every developer can use Komodor to observe, manage, and troubleshoot Kubernetes with ease. By simplifying K8s operations and injecting our own expertise into the product we’ve created a better dev experience that reduces toil and sparks joy.

In this blog, I explain the idea behind Distroless container images, which inspired us to create chiselled Ubuntu images — adding the “distro” back to distro-less! In a follow-up blog, I will then provide a step-by-step example of how you can create your own chiselled Ubuntu base container images, built for your specific needs.

The team are excited to start the new year with the latest release for Longhorn 1.4. This latest version is packed with new features and enhancements designed to help make cloud native enterprise storage simpler and more accessible to the cloud native community. For existing users of Longhorn, this latest release is focused on helping you build better value and resiliency across your storage strategy.

The popular open-source platform Kubescape by ARMO has been recently announced as a fully managed operator called a Charm for Canonical’s Charmed Kubernetes distribution. This collaboration between Canonical and ARMO is exciting for the solution it enables for end users, ultimately resulting in hardened and more secure Kubernetes environments.

With vSphere and Tanzu Kubernetes Grid (TKG), VMware enables enterprise organizations to combine the economic advantages of virtual machines (VMs) with the agility, portability, and scalability provided by Kubernetes. vSphere is VMware’s platform for the provisioning and management of VMs.

Kubernetes is a game-changer for enterprise organizations. Automating deployment, scaling, and management of containerized applications allows organizations to embrace a cloud-native paradigm at scale and more easily employ best practices, such as microservices and DevSecOps. But as with all tech, Kubernetes has its limits. Kelsey Hightower famously tweeted that “Kubernetes is a platform for building platforms. It’s a better place to start; not the endgame.”

With less than one month to go, we are counting the days until our first Civo Navigate event in Tampa Bay, Florida. Mark Boost, CEO of Civo, recently explored the motivation behind Civo Navigate, what attendees can expect, and the industry reaction in our blog. If you're joining us for the event, why not check out the Synapse Florida Summit? You can use code "CIVO" to get a 10% discount on all Synapse Summit tickets here.

DevSecOps–short for development, security, and operations–is a trending practice that introduces security testing, triage, and risk mitigation as early as possible in the software development lifecycle, rather than bolting on security in the final stages. DevSecOps requires a shift (also known as “shift-left”) in culture, process, and tools across development, security, and operations teams to make security a shared responsibility.

Better DevOps makes for more efficient engineering teams and more reliable releases, and when it comes to DevOps, it doesn’t get better than GitOps. According to DevOps-As-A-Service: One of the many goals of DevOps is to reduce Time To Value (TTV) and to provide faster feedback while enabling developers to easily self-service or not have to engage to get a service at all.

Having a deep understanding of a Kubernetes cluster is important: the right insights allow you to monitor the performance and health of the cluster, which is necessary for ensuring that applications are running smoothly and that any potential issues can be identified and addressed quickly. As your Kubernetes cluster develops, so does the need for monitoring and troubleshooting.