DevOpsLinks

Claudie is a multi-cloud managed Kubernetes solution.
Capable of placing each nodepool into a different cloud provider .
Capable of migrating workloads between cloud providers while taking full production load.
Controlled via Infrastructure-as-Code and and GitOps powered.
Comes in a cross-provider highly available setup, making the clusters resilient to a full cloud provider outage.

Claudie sets new standards for multi-cloud and hybrid-cloud operability, disaster recovery and high availability, without the complexity overhead of service-mesh. 100% upstream Kubernetes compliant and open-source.

Download this resource to learn how Teleport’s tight integration with AWS simplifies the implementation of Zero Trust in the cloud.

This tech paper also outlines how Teleport’s access platform can become the centralized window and the single entry point for consuming AWS internal and external services.

Learn more.

S3 is an object-based file storage service provided by AWS. It is widely used for storing files, data lakes, big data, logs, static websites, and more. However, with an unlimited storage space, cost optimization is a challenge. To understand S3 cost optimization, you need to understand the pricing structure for S3 buckets which includes capacity, requests and data transfer. To optimize costs, it's important to host resources that use S3 in the same region as the S3 bucket.

AWS S3 provides several storage classes to choose from, each with its own advantages and disadvantages.

• S3 Standard is the most commonly used and configured S3 storage option, but it is the most expensive.
• S3 Intelligent-Tiering automatically moves objects between infrequent access and Glacier based on usage and access patterns.
• S3 Infrequent Access is cheaper than Standard but retrieval costs are almost double.
• S3 One-zone Infrequent Access is a cost-effective option for low-utilization storage content that can be rebuilt in case of data loss, but it doesn't provide redundancy.
• S3 Glacier is the standard archival storage option, it's very cost-effective but retrieval time is between one to twelve hours.

With S3 lifecycle policies, you can automate storage class transitions and get discounts on cloud storage. Read how.

By @boldlink

This post is about its author's thoughts and questions about implementing canary releases in their deployment pipeline, specifically in relation to monitoring and alerting for the new systems.

The author mentions their recent move to Kubernetes and restructure of their internal architecture, which has allowed for more direct releases to production with less risk. However, the pipeline is still lacking in terms of monitoring and alerting. They raise questions about what is considered interesting enough to warrant an alert, and how to determine when to kill a canary release.

They also mention the concept of Service Level Indicators (SLIs) and Service Level Objectives (SLOs) in relation to canary releases, and express uncertainty about relying solely on metrics such as 500 errors and resource usage.

This article discusses how the author took feedback on how to track on-call health and wanted to address the issues they raised, and also provide some numbers that explain the position they took with these metrics on alerts. The author addresses the importance of sleep, stress, and hours worked in relation to the quality of software and how the number of disruptions is not the only factor that should be considered.

The author also provides data from six months of PagerDuty alerts, breaking down the types of alerts and when they occurred, to provide context to their argument.

Podman Desktop is a new open-source GUI application for managing containers on Linux, macOS, and Windows. It is developed by developers from Red Hat and other open-source contributors, and it is a tool that helps developers to use Podman, a daemon-less tool, in a more user-friendly way.

Podman Desktop supports many common container operations like creating container images, running containers, etc. It also has support for Docker Desktop extensions, and can be installed via Flatpak or by extracting a zip file.

It is still in its early days but it's a promising tool for developers who use Podman and are looking for a graphical interface to manage their containers.

The maximum size of a DNS response is not fixed at 512 bytes, as is commonly thought. The DNS protocol uses UDP, which has a maximum packet size of 65536 bytes. However, due to limitations in the size of a UDP packet that can be sent over the internet, the maximum size of a DNS response is typically limited to 1232 bytes.

This is due to the fact that the response must fit within a single UDP packet and also leave enough room for the IP and UDP headers. In practice, the actual size of a DNS response can vary depending on the number of records included in the response and the specific implementation of the DNS server.

This blog post by Gitlab is mainly about Hurl, an open-source tool developed and maintained by Orange, that can be integrated into a DevSecOps platform to continuously verify, test, and monitor targets. It also offers integrated unit test reports in GitLab CI/CD.

Hurl is a tool that helps with testing websites, web applications, or anything reachable with the HTTP protocol. It can automate monitoring tasks using curl and jq, and can be used for specialized tooling with custom HTTP headers, parsing expected responses, and building end-to-end test pipelines. It can also aid in analyzing root causes of stressful incidents and quickly mitigating and fixing problems.

FAUN's Job Board offers an exceptional platform to connect with skilled developers, DevOps professionals, and software engineers who are eager to contribute to the success of your organization.

Post your job openings on FAUN's Job Board today and watch your talent pool grow.

Get started now .

👉 If you're a Developer or a maintainer of a widely adopted Open Source project and you think it's worth talking about it and your experiences in building it, join Humans Behind Code and get interviewed and published on faun.dev!

Meet developers where they are, not where you want them to be. Fill out the form and download our mediakit .

This Video explains what is Contiunous Profiling and describes the OpenSource Solution Pyroscope.
The following points are covered:

• What is Continuous Profiling
• What is Pyrscope
• What is the value of the OpenTelemetry integration
• How to export metrics
• What is the pulling mode
• Interview
• Tutorial

What you'll learn in this book:

• How to develop CLI tools that interact with users by using common input/output patterns, including environment variables and flags
• How to develop cross platform command-line tools that are fast and reliable
• How to automate tasks, analyze data, parse logs, and talk to network services
• How to apply Go's rich standard library, built-in support for concurrency, and expressive syntax to develop elegant and efficient tools
• How to use Go's integrated testing capabilities to automatically test tools and ensure they work reliably across code refactoring
• How to handle files, manipulate paths, control processes and handle signals
• How to use a benchmark-driven approach and Go's concurrency primitives to create tools that perform well
• How to use powerful external libraries such as Cobra to create modern and flexible tools that handle subcommands and interact with databases, APIs, and network services

Cloud-agnostic managed Kubernetes

A tool to generate FAQ.md documents and automatically suggest answers to issues

Linux command line for you and me is a book for newcomers to the command line environment.

A ChatGPT bot for Kubernetes issues.

A Neovim plugin with some useful functions for working with Kustomize

A tool for importing secrets from a pre-existing secrets management systems (e.g. Vault, Secrets Manager) into a SealedSecret