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@viktoriiagolovtseva shared a post, 5 months, 1 week ago

Jira Issue Hierarchy Explained: How to Structure and Manage Your Projects

In this article, we’ll guide you through how to optimize your project structure by customizing Jira’s hierarchy. You’ll also see examples of how teams overcome common challenges with managing tasks and scaling projects.

Jira-issue
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@squadcast shared a post, 5 months, 1 week ago

Datadog vs. Dynatrace: A Deep Dive

This blog post compares Datadog and Dynatrace, two leading monitoring solutions.

Datadog excels in breadth, offering comprehensive monitoring across infrastructure, applications, logs, and more. It boasts a user-friendly interface and extensive integrations.

Dynatrace specializes in AI-powered application performance monitoring, particularly strong in cloud-native environments. It provides deep insights and automated analysis, but can have a steeper learning curve.

The best choice depends on your specific needs, including monitoring priorities, application complexity, budget, and team expertise.

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@squadcast shared a post, 5 months, 1 week ago

Severity Level Classification: The Ultimate Guide to Major vs Critical Incidents

This comprehensive guide explores severity level classification in IT incident management. The article breaks down the five-tier severity system (SEV 1-5), explaining how to differentiate between critical and major incidents. Key highlights include:

Detailed explanation of severity levels from critical (SEV 1) to trivial (SEV 5)

Factors affecting severity classification including user impact, system complexity, and business criticality

Step-by-step implementation guide for effective severity level classification

Integration of SLIs and SLOs in incident classification

Best practices for automated classification systems

Business benefits including improved response times and enhanced continuity

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@squadcast shared a post, 5 months, 1 week ago

Datadog vs New Relic: A Comprehensive Comparison Guide (2025)

This comprehensive guide compares two leading monitoring platforms: Datadog vs New Relic. The analysis covers essential aspects of both tools, helping teams make an informed decision based on their specific needs.

Key Highlights:

Monitoring Capabilities: Datadog offers strong infrastructure monitoring with real-time metrics tracking, while New Relic excels in application performance monitoring and code-level insights.

Integration Support: Both platforms provide extensive third-party integrations (Datadog: 600+, New Relic: 650+), covering major cloud providers, databases, and development tools.

User Experience: Both tools feature modern, intuitive interfaces with customizable dashboards and visualization options, catering to different user preferences.

Target Users: Datadog is ideal for DevOps and SRE teams focusing on infrastructure, while New Relic better serves development-focused teams needing deep application insights.

Pricing Models: Datadog uses host-based pricing with feature add-ons, while New Relic employs a data ingestion-based model with tiered pricing plans.

The comparison reveals that while both platforms offer robust monitoring solutions, their strengths lie in different areas. Datadog shines in infrastructure monitoring and operational insights, making it suitable for operations-focused teams. New Relic's strength in application performance monitoring and developer tooling makes it an excellent choice for development-centric organizations.

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@adammetis shared a post, 5 months, 1 week ago
DevRel, Metis

Your Need to Review Your Data Changes

Maintaining database consistency can quickly spiral into chaos, presenting considerable challenges. To overcome these, it’s crucial to employ effective strategies for managing data modifications and adjustments.

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@squadcast shared a post, 5 months, 2 weeks ago

Error Budget Calculator: The Complete Guide to SRE Service Planning

This comprehensive guide explores how to effectively implement and use an error budget calculator to improve service reliability engineering practices. The article breaks down complex SRE concepts into practical, actionable steps while sharing real-world implementation examples.

The post begins by introducing the fundamental concepts of error budgets and their calculation methods, moving beyond the basic formula of "Error Budget = 100% - Service SLO" to explore more nuanced approaches. It emphasizes the importance of considering both projected downtime and maintenance when establishing initial error budgets.

A significant portion of the content focuses on practical implementation, featuring a detailed case study of Acme Interfaces. This real-world example demonstrates how a company reduced their error rate from 15% to under 10% through systematic analysis and improvement of their systems.

Key topics covered include:

Detailed explanation of error budget calculation methodologies

Different types of downtime and their impact on error budgets

Step-by-step implementation guide

Best practices for error budget management

Practical action plans for teams

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@denyskontorskyy shared a post, 5 months, 2 weeks ago
Technical Content Writer

Here’s How You Can Automatically Add Checklists To Your Jira Workflow

Having your to-do list available every time a new issue in Jira is created is quite a boon in terms of saving time and keeping everyone on the same page. And while Jira does not have checklist functionality by default, you can use a 3rd party plugin to automate your Jira ticket workflow. 

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@squadcast shared a post, 5 months, 2 weeks ago

PagerDuty vs ServiceNow: A Comprehensive Comparison for Incident Management in 2025

The article provides a comprehensive comparison of PagerDuty and ServiceNow's incident management capabilities, focusing on five key areas:

On-Call Management: PagerDuty offers an intuitive, user-friendly approach, while ServiceNow provides more complex but highly customizable solutions.

Alerting Systems: PagerDuty excels in quick setup and multi-channel notifications, whereas ServiceNow offers deeper ITSM integration with built-in analytics.

Incident Resolution: Both platforms offer robust solutions, with PagerDuty focusing on immediate usability and ServiceNow providing extensive customization options.

Integration Options: PagerDuty provides 700+ streamlined integrations, while ServiceNow offers thousands of integrations with more complex setup requirements.

Pricing Structure: PagerDuty starts at $25/user/month with add-on options, while ServiceNow offers enterprise-level pricing better suited for larger deployments.

The article concludes that PagerDuty is ideal for small to medium teams prioritizing ease of use, while ServiceNow better serves large enterprises needing extensive customization and integration within their existing ServiceNow ecosystem.

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@denyskontorskyy shared a post, 5 months, 2 weeks ago
Technical Content Writer

How To Refine Your Jira Backlog As A Product Owner?

The product owner plays an important role in Agile development since he is responsible for expressing stakeholders’ interests and guaranteeing the product meets the needs of the stakeholders. In this context, Jira is a Product owner’s best friend when it comes to managing tasks and establishing a viable Jira roadmap for a smooth project.

Read further to learn more about the Jira Backlog and its features.

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@laura_garcia shared a post, 5 months, 2 weeks ago
Software Developer, RELIANOID

Shield Your Core at Cybersec Asia 2025!

- When: January 22-23, 2025 Where: QSNCC, Bangkok, Thailand Cybersec Asia is the premier platform for IT security, data management, and cloud solutions in the CLMVT and APAC regions. - Why RELIANOID is Attending At RELIANOID, we’re passionate about staying at the forefront of cybersecurity innova..

cybersec Asia
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