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How to Generate Prometheus Metrics from Logs Collected by Fluentd

In this article, I demonstrate how to generate metrics and create alert on Prometheus from the pod logs.
Fluentd is an open-source data collector used to unify logging infrastructure.
By the end of this article, you'll have a clear understanding of how to set up Prometheus and Fluentd in a Kubernetes environment to monitor pod logs, generate metrics, and create custom alerts.
The configuration includes a source for reading logs, filters for processing and filtering logs, and a match directive for outputting logs.
After installation, patch the values.yaml file to configure. Be sure to replace "pod-name" with the actual name of your pod.
You can now view metrics.
Now that Prometheus is installed and configured, we need to view the metrics in the Prometheus UI.
If everything has been successful up to this point, you can create an alert for the metric on Prometheus.
In my next article, "How to Send Prometheus Alerts as Email and Teams Channel Notifications," we'll explore how to set up alerting for critical issues.
With these basics covered, you're well on your way to monitoring and managing your Kubernetes environment effectively.

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Microsoft

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Getting the most out of Azure DevOps and GitHub

Azure DevOps and GitHub are two DevSecOps products by Microsoft.
GitHub has over 100 million developers with over 4 million organizations using GitHub, including 90% of Fortune 100.
Azure DevOps has an enterprise customer base that loves its customizable enterprise-focused planning and tracking capabilities in Azure Boards.
Last year, Microsoft announced GitHub Advanced Security for Azure DevOps (GHAzDO), which integrates the core capabilities of GitHub Advanced Security (secret scanning, code scanning, and dependency vulnerability scanning) directly into Azure DevOps.
Azure DevOps customers can benefit from many of the key capabilities of GitHub Copilot for Business without making any other changes to their Azure DevOps usage.
Additional innovative capabilities in both GitHub Copilot and GitHub Advanced Security are available to customers who have their code in GitHub repositories.
GitHub Enterprises can be utilized to manage GitHub Copilot licenses without any other GitHub Enterprise usage.
Azure DevOps customers will need to migrate some or all their repositories to GitHub to avail additional innovative capabilities in both GitHub Copilot and GitHub Advanced Security.
Visual Studio subscribers have usage rights for both GitHub Enterprise and Azure DevOps.
Microsoft is working hard across Microsoft and GitHub to improve integrations between its two DevSecOps products.

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TechCrunch

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Spectro Cloud nets $75M to help companies manage their Kubernetes installations

Spectro Cloud, a vendor specializing in Kubernetes management solutions, has raised $75 million in a Series C funding round led by Goldman Sachs.
Spectro Cloud's software helps manage the complexity of Kubernetes deployments, providing storage, networking, and security layers.
The company's solutions work across on-premise, multi-cloud, and edge environments, allowing customers to bring their own flavor for specific use cases.
The funding will be used for product development and expanding partnerships, with a focus on edge computing and AI integration.

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Dev

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Crypto Clickers: What Web3 Developers Can Learn from Simple Game Mechanics

Crypto clickers, simple tap-to-earn games, have emerged as a disruptor in Web3, offering a blueprint for building impactful products.
They strip away technical barriers and focus on minimalism, seamless integration, and real rewards.
Web3 developers can learn from crypto clickers by enabling ease of onboarding, emphasizing integration, and designing scalable incentives.
These games showcase the power of accessible design and have the potential to inspire a shift in product design in Web3.

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Siliconangle

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At KubeCon/CloudNativeCon 2024, AI hype gives way to real application concerns

At KubeCon/CloudNativeCon North America 2024, much of the initial buzz surrounding AI was replaced by concerns for scalability and stability.
Kubernetes and other Cloud Native Computing Foundation (CNCF) projects now better serve developers in scaling and deploying cloud-native applications with new cost efficiency and security capabilities.
Platform engineering has advanced greatly from well-organised and well-maintained resources to include easy low-code workflows and AI-based curation.
Vendors have accelerated support for 'run-anywhere' approach, enabling complex workloads to run in public cloud hyperscalers, on-prem and on the edge.
To fight patent trolls, the CNCF joined the Open Source Zone and announced a challenge for developers to provide 'prior art' which could crush offending patents.
Observability data will become table stakes as cloud-native and microservices continue to become mainstream.
Cloud-native security addresses the complexity of software and infrastructure, while 84% of respondents in the LF Research 2024 Cloud Native Security Report say their cloud-native applications are more secure than two years ago.
Intellyx was impressed by the collaborative energy at the conference and sessions where developers from competing vendors shared deep insights.
CNCF technical advisory groups are looking for new contributors to come in and take on leadership roles.
Developers, engineers, and startups can enhance their skills by contributing to CNCF projects and gain new stuffed toys.

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Dev

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What is Configuration Drift?

Configuration drift occurs when system configurations gradually deviate from their desired or documented state as a result of changes made to software or infrastructure settings without a proper change management process.
The primary causes of configuration drift are manual changes and human error, inconsistent and manual deployment processes, dependencies on external systems, differences in environments, lack of version control, and insufficient or non-existent documentation.
Configuration drift can lead to severe issues, such as security vulnerabilities, performance issues, compliance violations, increased downtime and reduced reliability, difficulty troubleshooting, and inconsistent user experience.
Tools to detect, prevent, and manage configuration drift include Version control systems, GitOps, and IaC tools, Continuous delivery tools, Infrastructure as Code (IaC) and orchestration tools, Configuration management tools, and cloud configuration drift detection tools.
Best practices to minimize configuration drift include using version control for all configurations, implementing standardized deployments and automated configuration management, regularly auditing and monitoring systems, and maintaining comprehensive documentation.
Adopting these best practices can help organizations mitigate risks associated with configuration drift, maintain consistent configurations, and prevent system instability, security vulnerabilities, downtime, and data breaches.

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Dev

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Understanding Datadog: Monitoring and Observability for Modern Applications

Datadog is a comprehensive monitoring and analytics platform to manage and optimize complex systems, tailor-made for DevOps engineers, IT managers, system admins, and software developers.
Datadog provides a SaaS-based platform to monitor metrics, logs, and traces to ensure seamless performance and reliability across applications and infrastructure.
Key features of Datadog include Infrastructure Monitoring, Application Performance Monitoring (APM), Log Management, Synthetic Monitoring, Real User Monitoring (RUM), and Integration Capabilities, all aimed at providing insights into system health and usage.
Datadog offers unified view of monitoring, scalability, collaboration, and proactive issue detection by consolidating metrics, traces, and logs into a single platform, reducing the complexity of managing multiple tools.
Practical use cases include E-commerce Sites, SaaS Companies, and IT Operations, all aimed at monitoring transaction speeds, tracking user engagement, and optimizing performance across diverse environments.
To get started with Datadog, create an account on the Datadog website, install the Datadog Agent, and configure integrations to start monitoring metrics. Pricing options include a Free Plan, Pro Plan, and Enterprise Plan, all targeted at different organizational needs.
While Datadog is comprehensive, other monitoring tools like New Relic, Prometheus+Grafana and Splunk may be better suited for specific organizational needs.

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Dev

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Microservices: A Friendly, Humanized Guide

Microservices design software applications as a collection of small, self-contained services with a specific job.
In microservices architecture, each service can use its own tools and languages.
API Gateway is the main component in microservices which act as the front door and handles tasks like authentication.
Microservices are ideal for growing applications and for scaling specific features independently.
Design microservices by defining boundaries, avoiding over-communication, and decoupling services by reducing dependency.
Microservices come with challenges of complexity, data consistency, latency, and debugging.
The best practices to make microservices architecture successful are to start small while considering simplicity and monitoring tools.
Java, Python, Node.js, or Go programming languages and Spring Boot, Express.js, and Kubernetes frameworks are popular.
RabbitMQ and Apache Kafka can be used for asynchronous communication.
Microservices bring scalability and resilience to applications but careful planning and management is necessary.

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Dev

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Breaking down DevOps to Everyone

DevOps is a culture and toolkit that helps streamline software development, testing, and deployment.
Continuous Integration/Continuous Deployment (CI/CD) automates testing and code deployment, making updates faster and with less risk.
Cloud Computing allows renting resources from cloud providers to handle surges in traffic and save costs during downtime.
DevOps engineers play a crucial role in managing the software life cycle, bridging the gap between technology and business goals.

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Dev

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Why WASM: Quickstart

WASM stands for Web Assembly; a tool to create web-based applications with a language other than JavaScript.
WASM allows developers to use the language of their choice to build applications.
WASM allows engineers to build binaries that can be run on different Instruction Set Architectures.
WASM workloads can be much faster than containerized applications and have a smaller form factor.
WASM is memory-safe and sandboxed by default, ensuring higher security standards.
WASM can be used for both server-side and browser-based applications.
WASM is independent of underlying hardware, and WASI figures out how and where it should run.
WASM was created to allow developers to build web-based applications using any language they choose.
WASM workloads can run on different Instruction Set Architectures and still perform well.
WASM is versatile as it allows different codebases in different languages to work together in the same application stack.

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Siliconangle

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Empowering developers: How T-Mobile leverages Kubernetes for AI and machine vision

T-Mobile leverages Kubernetes for AI and machine vision to drive efficiency and developer autonomy.
The majority of T-Mobile's applications run within Kubernetes, providing efficiency and scalability.
Kubernetes is transforming how enterprises manage workloads, allowing developers to focus on innovation.
Portworx by Pure Storage supports T-Mobile's cloud-native data needs, including AI and machine learning models.

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Siliconangle

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Heroku’s approach to app deployment with Kubernetes and cloud tools

Heroku is simplifying app deployment with Kubernetes and cloud tools.
Heroku allows developers to focus on innovation without managing complex infrastructure.
Kubernetes plays a crucial role in managing and scaling containerized applications.
Heroku's platform-as-a-service makes app deployment and management easier.

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Siliconangle

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Savvy swag: The coolest goodies from KubeCon + CloudNativeCon NA

At North America’s KubeCon + CloudNativeCon 2024, attendees can pick up various swag items.
Companies offered creative swag items like inflatable sleds, ski outfits, plushies, and Lego-like magnets.
Google provided colorful fanny packs, and lively discourse about cloud computing was prevalent.
TheCUBE is a paid media partner for the event.

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Siliconangle

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CNCF Deaf and Hard of Hearing Working Group aims to drive cloud-native accessibility

The Cloud Native Computing Foundation's Deaf and Hard of Hearing Working Group is focused on driving cloud-native accessibility.
The group is working on creating documentation for best practices and accessibility, including a sign language glossary for cloud-native terminology.
The primary objective is to create an ASL glossary for signs related to Kubernetes to encourage more deaf and hard-of-hearing individuals to participate in the tech space.
The group aims to foster inclusive spaces and representation, providing advocates and mentors for underrepresented communities in the technology industry.

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Dev

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Terraforming Resource Control Policies

AWS has released a new type of organizational policy called Resource Control Policies (RCPs).
RCPs are resource-centric policies that complement Service Control Policies (SCPs).
Terraform, starting from version 5.76.0, supports automation of RCPs.
RCPs have limits and can be attached to entities like Organizational Units (OUs).

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