Latest news from KubeCon NA 2024 about CNCF projects
Significant releases included Jaeger v2 and Prometheus 3.0. Two projects (Dapr and cert-manager) became Graduated. New certifications for Backstage, OpenTelemetry, and Kyverno were announced...
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Significant releases included Jaeger v2 and Prometheus 3.0. Two projects (Dapr and cert-manager) became Graduated. New certifications for Backstage, OpenTelemetry, and Kyverno were announced...
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When it comes to monitoring and observability solutions,Datadog vs Prometheusare two popular choices among developers and DevOps teams alike. Both boast powerful features and capabilities for tracking, analyzing, and troubleshooting system performance. In this blog post we’ll take a comprehensive ap..
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This blog post explains how to integrate Prometheus, a metric collection tool, with Datadog, a monitoring platform. This integration offers several benefits including improved visibility into application and infrastructure performance, proactive alerting, and a streamlined workflow.
The guide provides step-by-step instructions on setting up the integration, including installing and configuring both Prometheus and the Datadog Agent, enabling the Prometheus integration within Datadog, and verifying successful data flow. It also highlights additional considerations like metric mapping, scalability, and security.
Overall, integrating Prometheus with Datadog empowers you to create a powerful monitoring ecosystem for making data-driven decisions and optimizing your IT infrastructure.
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This blog post explores system monitoring tools and how they can benefit your business. It highlights the importance of monitoring your IT infrastructure to proactively identify and address issues, prevent outages, and optimize performance.
The blog dives into different categories of system monitoring tools, including:
Infrastructure monitoring
Application monitoring
Network monitoring
Log monitoring
Performance monitoring
It then discusses seven popular system monitoring tools:
Prometheus & Grafana (Open-source powerhouses)
Datadog (Comprehensive monitoring platform)
SolarWinds Server & Application Monitor (Established solution)
New Relic (Application Performance Monitoring)
PRTG Network Monitor (Network traffic monitoring)
Splunk (Log management and analytics)
Each tool is described with its pros and cons to help you decide which one best fits your needs. Finally, the blog concludes by offering factors to consider when choosing a system monitoring tool and emphasizes the importance of maintaining system resiliency.
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This blog post provides a comprehensive overview of SRE incident management, including the lifecycle, best practices, and essential tools. Here's a summary:
Understanding Incidents: The ITIL framework offers a structured approach to incident management, outlining key stages like identification, notification, investigation, resolution, closure, and postmortem analysis.
Best Practices: For streamlined incident management, establish clear roles and responsibilities, set up a central war room for collaboration, maintain a live incident document, prioritize tasks, and continuously improve your strategy.
EssentialSRE Tools: Leverage monitoring tools for early problem detection, alerting and notification tools for prompt communication, incident management tools for centralized data and workflows, and collaboration tools for real-time communication during incidents.
By following these guidelines and using the right SRE tools, you can transform your incident management from reactive to proactive, ensuring a more resilient and user-friendly system.
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This blog post discusses the importance of observability in Kubernetes deployments. Observability goes beyond just monitoring metrics; it allows you to track how requests flow through your applications and pinpoint performance issues. The blog outlines essential observability tools including Prometheus, Grafana, Loki, and Jaeger. It then dives into seven best practices for Kubernetes monitoring with observability in mind. These best practices cover defining goals, selecting appropriate metrics and tools, and establishing data storage and incident response plans. By following these recommendations, you can gain a deeper understanding of your Kubernetes deployments and improve the overall health and reliability of your containerized applications.
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This blog post explores monitoring tools used by DevOps engineers and SREs to maintain IT infrastructure health and ensure service reliability. It covers the three main types of monitoring tools (network, server, application performance), factors to consider when choosing a tool, and provides a list of popular options including Prometheus and Zabbix.
The importance of incident management is also addressed, highlighting Squadcast as a tool that integrates with monitoring tools to streamline the incident resolution process. By combining monitoring and incident management, teams can effectively respond to issues and minimize downtime.
Overall, the blog emphasizes selecting the right tools to gather the necessary data for optimizing IT infrastructure performance and ensuring a positive user experience.
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Prometheus Blackbox Exporter is a valuable tool for monitoring external systems and services. It excels at probing various endpoints using protocols like HTTP, HTTPS, ICMP, DNS, and more, and returning metrics about their health and performance. This empowers you to gain insights into the availability, responsiveness, and performance of external dependencies critical to your applications.
Here are some key benefits of using Blackbox Exporter:
Supports multiple protocols (HTTP, HTTPS, ICMP, DNS, etc.)
Customizable probes with specific configurations
Provides rich metrics for in-depth analysis
Integrates seamlessly with Prometheus for querying and visualization
Enables proactive alerting based on metrics and thresholds
Increases visibility into external dependencies
Reduces downtime from external service failures
Improves service quality by monitoring external dependencies
Expedites issue resolution with rich metrics and alerting
Blackbox Exporter can be a game-changer for organizations looking to gain greater control over their monitoring environments and ensure the reliability of their applications.
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