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🔒Insights from Tipton Municipal Utilities' Response to Recent Cyberattack 🔒 In the wake of a recent cyberattack on a water and wastewater treatment plant in Indiana, the importance of robust cybersecurity measures in critical infrastructure has come into sharp focus. As organizations worldwide grapp..
Why is a kitchen drawer a good place to look for a butter knife? Because that’s where you keep your kitchen utensils. Components in Jira serve a similar function. When we have a large number of issues within one project, components come in handy to classify and group them under one category.
This comprehensive guide explores essential system reliability metrics, with a focus on strategies to reduce MTTR and improve incident response. The article covers the relationships between MTTR, MTBF, MTTD, and MTTF, providing real-world examples and practical applications across different industries.
This blog post explores Squadcast's Workflows feature, demonstrating how it enhances automated incident management through streamlined processes and intelligent automation. The article details the practical implementation of incident automation, explains key triggers and actions, and showcases how organizations can reduce manual intervention while maintaining critical human oversight.
Have you ever wondered how websites manage the traffic surge while ensuring seamless user experiences? 🤔 Enter Application Request Routing (ARR) — a cornerstone of efficient web traffic management. ARR, typically associated with Microsoft IIS, acts as a reverse proxy, optimizing incoming HTTP reques..
DevOps and Site Reliability Engineering (SRE) represent two distinct but complementary approaches to modern software operations. DevOps emerged in 2009, focusing on bridging development and operations teams through culture and collaboration, with an emphasis on rapid and frequent code deployment. SRE, originated at Google in 2003, takes a more systematic approach by applying software engineering principles to operations, focusing on system reliability and automation.
DevOps engineers primarily focus on CI/CD pipelines, developer productivity, and streamlining deployment processes. SREs concentrate on maintaining system uptime, implementing monitoring solutions, and managing service level objectives (SLOs). While DevOps emphasizes cultural change and collaboration, SRE provides specific practices and metrics for achieving reliability.
Organizations can implement both approaches: using DevOps principles for improved collaboration and delivery speed, while employing SRE practices for ensuring system reliability and performance. The choice between them—or their combination—should align with an organization's specific needs, team structure, and technical requirements.
Prometheus vs Datadog are leading monitoring and observability platforms with distinct approaches. Prometheus is an open-source solution using a pull-based model, ideal for self-hosted environments and Kubernetes monitoring. It's free but requires technical expertise and infrastructure management. Datadog is a SaaS platform with 600+ integrations, offering both push and pull-based monitoring with advanced analytics. It's user-friendly and fully managed but starts at $15 per host monthly.
Choose Prometheus for cost-effective, self-hosted monitoring with strong technical teams. Choose Datadog for comprehensive, managed observability with minimal maintenance overhead. The best choice depends on your organization's technical expertise, budget, and operational preferences.
Advanced Roadmaps for Jira is a premium feature designed to help teams plan, track, and manage work across multiple projects. It goes beyond traditional project management tools like Gantt charts and basic roadmaps by offering a unified, strategic approach to long-term planning and execution.
In this article, I’ll provide a quick overview of the Advanced Roadmaps feature, how teams can effectively use its capabilities, and how the tool provides a more unified approach to project and portfolio management.
Aspen InfoPlus.21 (IP.21) is a real-time data management and process historian system designed to enhance production efficiency. Key features include: Data Collection & Visualization: Seamlessly integrates with control systems (DCS, PLC) to provide real-time insights. Scalable Database: Supports u..
The blog post explores seven essential best practices for Kubernetes monitoring, guiding DevOps and Site Reliability Engineers (SREs) in developing robust monitoring strategies. It differentiates between monitoring and observability, emphasizing the importance of defining clear objectives, identifying critical metrics, selecting appropriate tools, and implementing comprehensive monitoring across system and application levels. The guide covers key aspects such as choosing between open-source and commercial solutions, monitoring the monitoring system itself, managing data storage, tracking the Kubernetes control plane, and integrating monitoring with incident response.
