Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Containers, Kubernetes, Docker and related technologies.

Is Developer Self-Service a Lie?

Over the weekend, I visited one of my favorite grocery stores to pick up one item, my favorite fruit e.g star fruit. Because of the location, the grocery star started to implement parking validation so folks would not abuse their free parking deck for extended periods of time. As I just had a handful of star fruits, I decided to use the self-checkout. This was my first time buying produce via self-checkout.

Implementing Microservices on AWS with the Twelve-factor App - Part 1

The Twelve-Factor methodology is a set of best practices for developing microservices applications. These practices are segregated into twelve different areas of application development. Twelve-factor is the standard architectural pattern to develop SaaS-based modern and scalable cloud applications. It is highly recommended by AWS if you are building containerized microservices. In this article, we will guide you on how to develop applications that will use microservices deployed on containers in AWS.

Kubernetes Networking: How to monitor Kubernetes using synthetic testing

Kubernetes enables DevOps efficiency by streamlining application and service deployment and management. While this gives greater control, it also makes it harder to monitor the health of the applications and services. Synthetic monitoring simulates network conditions and user actions by running continuous tests from global locations before adverse conditions impact end users. What you’ll learn.

Introduction to KubeSphere and Multi-cluster Management - Civo Tutorial

Kunal Kushwaha, Dev Advocate at Civo, will demonstrate how to manage multiple Kubernetes clusters and run multi-cluster applications with ease. They will look at why multi-cluster management matters, getting set up with KubeSphere on Civo Kubernetes, and how to deploy apps across multiple clusters.

Kubernetes Logging with Elasticsearch, Fluentd and Kibana

Kubernetes, a Greek word meaning pilot, has found its way into the center stage of modern software engineering. Its in-built observability, monitoring, metrics, and self-healing make it an outstanding toolset out of the box, but its core offering has a glaring problem. The Kubernetes logging challenge is its ephemeral resources disappearing into the ether, and without some 2005-style SSHing into the correct server to find the rolled over log files, you’ll never see the log data again.

Multi-cluster management and observability with KubeSphere

Join us as we learn about KubeSphere - a distributed operating system for cloud-native application management. Feynman Zhou (Dev Advocate) from the KubeSphere team will walk us through the rich observability features of KubeSphere and how it integrates your favourite tools for multi-dimensional monitoring metrics, multi-tenant log query and collection, alerting, events, audit logs and notification.

Strengthen Your Developer Experience and Deployment Velocity with OKE and Shipa Cloud

For an application developer, there is certainly a long road between an idea/feature and getting deployed into production with Kubernetes. From a development perspective, having a low barrier of entry and the ability to iterate is key. From a platform engineering/DevOps perspective, creating gains in engineering efficiency all while creating and enforcing policies that do not stifle innovation is key.

Prometheus 2.35 - What's new?

Prometheus 2.35 was released last month, focusing on a better integration with cloud providers. It also improved the service discovery, performance, and resources usage. One key change was the migration to Go v1.18. It has brought some changes in the support for TLS 1.0, 1.1, and certificates signed with the SHA1 hash function. Welcome to this first edition of What’s new in Prometheus. We love Prometheus, the de-facto open source standard monitoring tool!

Kubernetes throttling? It doesn't have to suck!

Kubernetes has a bad habit of throttling CPU resources—with the result that you can suffer severely degraded performance or find yourself paying a fortune for extra, unnecessary infrastructure. Watch this video to learn how K8s clusters protect themselves from what they see as heavy CPU usage, and how you can monitor and troubleshoot the problem. We demonstrate how you can:– Use Netdata to reduce API response times by a factor of 7– Expect to reduce infrastructure resource requirements by 60-75%