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Hashicorp
2w
292
Image Credit: Hashicorp
New Terraform integrations with Crowdstrike, Datadog, JFrog, Red Hat, and more
- The HashiCorp Infrastructure Lifecycle Management ecosystem expands with new integrations.
- New HCP Terraform integrations include Datadog and Overmind.
- Terraform Enterprise now supports deployment on Red Hat OpenShift clusters.
- Nine new verified Terraform providers were added, including CrowdStrike, Fortinet, JFrog, and Netlify.
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Dev
2w
12
Image Credit: Dev
Deploying Prometheus With Docker
- Introduction: This guide explains how to deploy Prometheus monitoring tool in a Docker container.
- Basic Setup: Run Prometheus in Docker using 'docker run -p 9000:9090 prometheus prom/prometheus:v3.0.0'. Access the Prometheus UI at localhost:9000.
- Separating the Configuration: Create a prometheus.yml file in the config directory to configure Prometheus.
- Making the Data Storage Persistent: Create a Docker volume to store metrics data across container restarts.
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Openstack
2w
409
Image Credit: Openstack
From Concept to Code: Building the Deactivate/Reactivate Feature in OpenStack Horizon
- This guide explains the implementation of the deactivate/reactivate feature on OpenStack Horizon.
- The front end code includes adding deactivate as an option in the image actions dropdown and writing the view and controller code.
- Services and modules are created to organize and share code, and two services, deactivate-image and reactivate-image, are added.
- The back end code involves making API calls to Glance, updating the status of the image, and adding code to two files.
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Medium
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275
Image Credit: Medium
Introduction to Shell Scripting for DevOps Engineers
- The kernel is the core component of an operating system, managing hardware resources and facilitating communication between hardware and software components.
- A shell is a user program that provides an interface for users to interact with the operating system, converting human-readable commands into a form the kernel can understand.
- Shell scripting involves writing scripts that can be executed by the Linux shell, automating routine tasks and managing server configurations in DevOps.
- Shell scripting is a powerful tool for program execution, file manipulation, text printing, and streamlining deployment processes.
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Itrevolution
2w
17
Image Credit: Itrevolution
The Missing Link in Your Industry 4.0 Strategy: Industrial DevOps
- Industrial DevOps complements Industry 4.0 by bridging the gap between technologies and organizational practices.
- Key principles include organizing for the flow of value, applying multiple planning horizons, and making data-driven decisions.
- Misconceptions include thinking it's only for software or sacrificing quality for speed.
- Measuring success can be done through reduced lead time, improved quality, increased flexibility, enhanced productivity, and higher innovation levels.
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Hackernoon
2w
172
Image Credit: Hackernoon
Enable Additional Logs in Azure Pipeline Execution With This Guide
- The article discusses the importance of enabling additional logs in Azure DevOps pipeline execution.
- Default logs in Azure DevOps pipeline provide information about the execution of each step.
- Enabling System Diagnostics logs for specific pipeline execution or all executions helps in troubleshooting errors.
- Logs can be downloaded and shared with other teams.
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Dev
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245
Image Credit: Dev
Exploring Kubernetes: A Step Ahead of Basics
- Kubernetes simplifies the management of containerized applications.
- Intermediate concepts like Deployments, ConfigMaps, Secrets, Probes, Resource Requests and Limits, HPA, and Network Policies enhance cluster management.
- Kubernetes automates tasks like deployment, scaling, and maintenance, allowing developers to focus on innovation.
- Mastering advanced Kubernetes concepts improves application reliability, resource utilization, and prepares for more advanced topics.
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14 Likes
Medium
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142
Image Credit: Medium
Context Switching Performance — User vs Kernel modes
- In the process of reading a file, the CPU execution context will switch from executing a user program to the kernel code.
- The overhead in context switching from user to kernel mode is relatively nominal compared to a context switch between two different processes.
- Kernel memory space can only be accessed in the kernel mode.
- Frequent mode switches can still affect a system’s overall performance.
- When the number of user kernel mode switches increased, it affected the performance of the data store application running on the servers.
- To solve the problem, they had to monitor file changes from kernel space using an eBPF program.
- eBPF runs inside the kernel to monitor file changes by attaching it to the file change syscalls, such as write.
- This new solution no longer affected the performance of the data store server.
- Understanding OS internals can help troubleshoot rare occurrences.
- Learning about nitty-gritty OS internal details can be helpful in rare troubleshooting scenarios.
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Dev
2w
34
Image Credit: Dev
Introduction to k8sgpt - Simplifying Kubernetes Troubleshooting - Part 1
- k8sgpt is an open-source AI-driven tool designed to help Kubernetes users diagnose and resolve cluster issues faster.
- It gathers information from your cluster, analyzes issues, and provides actionable insights to fix problems in real-time.
- Key features include real-time diagnostics, readable recommendations, customizable rules, and integration support with existing monitoring tools.
- Advantages include accelerated troubleshooting, democratized Kubernetes expertise, enhanced cluster resilience, and improved operational efficiency.
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Medium
2w
4
Image Credit: Medium
Register Windows Object Callbacks from Kernel Driver
- This article demonstrates how to monitor access to Windows process objects using a kernel driver.
- A kernel driver is employed to intercept handle creation and duplication events for process objects.
- The driver registers callbacks using the ObRegisterCallbacks function to hook into these operations.
- By leveraging kernel-mode access, this approach allows for deeper system monitoring and control.
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Dev
2w
237
Image Credit: Dev
Systemd vs. Docker: Exploring a Surprising Alternative
- Docker is a platform that allows you to build, run, and manage containers, while Systemd is an init system and a process manager for Linux.
- In this article, we compare these two methods by running Pocketbase, a lightweight backend server in both Docker and Systemd to explore their differences in setup, management, and performance.
- Docker offers easy setup, less dependency, full isolation, and simple management by encapsulating all the application dependencies within the container.
- In contrast, Systemd requires setting up a service file, managing dependencies, and ensuring the application runs directly on the system, giving more control and deeper integration with the host system.
- Docker is ideal for creating isolated environments and easily managing dependencies, while Systemd gives more control and deeper integration with the host system.
- If portability and isolation are key, Docker might be the better choice, but if more control over service management is preferred, Systemd is a great option.
- Both approaches have their strengths, and understanding them can help you make the right decision for your application deployment.
- Docker adds a small overhead due to containerization, while Systemd typically offers better performance for long-running processes.
- With Docker, managing the application is as simple as running or stopping the container, while with Systemd, the process is managed and operated using standard commands like start, stop, and restart.
- Whether you use Docker or Systemd depends on your needs, and both tools have their strengths and weaknesses.
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The New Stack
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384
Image Credit: The New Stack
KubeCon Keynotes Wrestle With AI Governance Complexities
- At its KubeCon event held in Utah, members of the community explored the potential of AI app delivery and machine learning in the container ecosystem.
- Challenges around feature and platform fragmentation led to discussions around the need for standardisation and interoperability in AI application delivery.
- Increased demand for AI governance capabilities was emphasized during sessions on AI safety, amid concerns over the risks posed by malicious actors exploiting AI vulnerability.
- Talks around AI middleware, aimed at simplifying complexities for platform engineers, data scientists and developers, enhanced Scalability and safety of AI-powered applications.
- Open source heavyweight adopter CapitalOne was highlighted for using GenAI in not just customer service and engineering but also mundane back-office tasks for greater efficiency.
- AI middleware was suggested as a solution to the complex interoperability challenges facing application platforms in supporting GenAI app delivery while still being flexible and adaptable.
- Senior staff engineer at Shopify, Shane Lawrence, highlighted ongoing threats to AI models and the need for cohesive AI middleware to mitigate risks.
- AI is being seen as a essential shift in application architecture and capabilities that is here to stay, however, clear-eyed concerns around the gaps in AI app governance must also be addressed.
- KubeCon North America 2024 had members of the community coming together to freely exchange knowledge and ideas. Projects are also being established for AI application governance.
- Emerging projects having governance established for their AI applications. VMware Tanzu AI solutions design partner applications encouraged for those interested in shaping the future of AI solutions.
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Dev
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172
Image Credit: Dev
WASM and Docker: Quickstart
- Wasm is a runtime that can run on various platforms, including Docker.
- This quickstart tutorial demonstrates how to run a Wasm-based Go application in Docker.
- The tutorial provides the Go code for a simple 'hello world' app and shows how to build and run it as a Wasm binary.
- A Dockerfile is provided to create a container image that uses the Wasm binary, and the image is built and run using the appropriate Wasm runtime in Docker.
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Dev
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151
Image Credit: Dev
Using Apache Flink for Real-time Stream Processing in Data Engineering
- Apache Flink is a powerful open-source stream processing framework that specializes in real-time data processing.
- It offers features like event time processing, fault tolerance, and scalability, making it a go-to choice for data engineers.
- Compared to other stream processing frameworks like Apache Spark Streaming and Kafka Streams, Flink provides a more comprehensive solution with low latency and advanced features.
- Flink is ideal for handling large data streams efficiently, ensuring reliability in data processing, and managing time accurately in stream processing.
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9 Likes
Solarwinds
2w
259
Image Credit: Solarwinds
Four Reasons Paessler PRTG Customers Should Consider Switching to SolarWinds
- Paessler announced a new, more expensive subscription-only pricing model.
- Switching to SolarWinds could provide a single, unified solution and eliminate tool sprawl.
- SolarWinds offers expanded and enhanced capabilities compared to PRTG.
- SolarWinds meets customers where they are on their path to modernization.
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