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@squadcast shared a post, 7ย months, 3ย weeks ago

AlertOps vs. PagerDuty: A Comprehensive Comparison

AlertOps vs. PagerDuty: A Quick Comparison

This blog post compares two popular incident management and on-call scheduling tools: AlertOps and PagerDuty.

AlertOps is a great choice for large enterprises and MSPs, offering advanced features for complex on-call rotations and incident management.

PagerDuty is a versatile platform that focuses on proactive incident response, automation, and machine learning. It's suitable for a wide range of teams, including DevOps and engineering.

When choosing between the two, consider your team's size, budget, and specific needs. Both tools can significantly improve your team's efficiency and incident response time.

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@laura_garcia shared a post, 7ย months, 3ย weeks ago
Software Developer, RELIANOID

Black Hat MEA coming soon!

RELIANOID at Black Hat MEA 2024! FromNovember 26th-28th, weโ€™ll be inRiyadh, Saudi Arabia, attendingBlack Hat MEA 2024, the Middle East's premier cybersecurity event. - Key Highlights: Executive Summit:Exclusive gathering of CISOs and industry leaders. Briefings:Insights on vulnerabilities, threat de..

Blackhat MEA 2024 RELIANOID
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@shurup shared a post, 7ย months, 3ย weeks ago
@palark

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...

KubeCon North America 2024
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@laura_garcia shared a post, 7ย months, 3ย weeks ago
Software Developer, RELIANOID

Community engagement

๐ŸŒŸ Thank you to our Community Edition users! ๐ŸŒŸ We are always thrilled to hear from our community, and today we want to express our gratitude to them for their valuable feedback on RELIANOID Community Edition latest release. ๐Ÿ™Œ ๐ŸŒ Translation: "I would like to thank you very much for the latest versi..

congratulations from customer - Amor
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@squadcast shared a post, 7ย months, 3ย weeks ago

AI-Powered Incident Response: A New Era of Efficiency

This blog delves into the transformative impact of AI on incident management. It highlights how AI can revolutionize traditional approaches by:

Proactive Detection: Identifying potential issues before they escalate into major incidents.

Accelerated Diagnosis: Pinpointing root causes more quickly.

Automated Response: Automating routine tasks to improve efficiency.

Enhanced Collaboration: Facilitating seamless communication among teams.

Continuous Learning: Learning from past incidents to prevent future occurrences.

The blog also emphasizes the importance of building trust in AI-driven incident response through transparency, reliability, and human-AI collaboration. By leveraging AI, organizations can significantly improve their incident response capabilities, reduce downtime, and enhance overall system resilience.

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@squadcast shared a post, 7ย months, 3ย weeks ago

Squadcast: The Superior PagerDuty Alternative for Bibamย Group

Squadcast: A Superior PagerDuty Alternative

Bibam Group, a prominent travel and tourism company, faced challenges with its previous alerting tool, PagerDuty. Issues like complex scheduling, high costs, poor UI, and inadequate support hindered their incident response efficiency.

By switching to Squadcast, Bibam experienced significant improvements:

Simplified On-Call Management: Automated scheduling, customizable rotations, and time zones.

Enhanced Incident Response: Intuitive UI, faster incident resolution, and reduced MTTR.

Improved Incident Management Practices: Comprehensive incident lifecycle management, from trigger to post-mortem.

Cost-Effective Solution: Fair, transparent, and flexible pricing.

Excellent Customer Support: Timely assistance and custom configurations.

Squadcast has proven to be a reliable and cost-effective PagerDuty alternative, empowering Bibam to maintain optimal service levels and drive business growth.

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@laura_garcia shared a post, 7ย months, 3ย weeks ago
Software Developer, RELIANOID

Debian 10 Buster Retiring on AWS Marketplace โ€“ Upgrade to Debian 12

As of November 13, 2024, AWS will no longer support Debian 10 on its Marketplace, urging users to switch to Debian 12. With Debian 12 โ€œBookwormโ€ offering better security, stability, and long-term support, itโ€™s a smart move for future-proofing your infrastructure. - At RELIANOID, weโ€™re already ahead ..

blog-debian buster retirement aws
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@laura_garcia shared a post, 7ย months, 3ย weeks ago
Software Developer, RELIANOID

DevOps Barcelona starting today!

๐ŸŒ Ready for DevOps Barcelona? Starting today, this event gathers DevOps professionals, engineers, and innovators from around the world to dive into the latest trends and technologies shaping our field. From optimizing infrastructure and scaling applications to enhancing security, the conference agen..

devops Barcelona 2024 RELIANOID
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@squadcast shared a post, 7ย months, 3ย weeks ago

Dynatrace vs New Relic: Which Performance Monitoring Tool is Better? | Squadcast

Confused between Dynatrace vs New Relic? This blog post provides a detailed comparison of these two powerful performance monitoring tools. Discover their key features, scalability, user experience, and pricing to make an informed decision.

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@squadcast shared a post, 7ย months, 3ย weeks ago

Splunk On-Call vs Grafana IRM: A Comprehensive Comparison

Splunk On-Call vs Grafana IRM: A Comparative Analysis

This blog post compares two popular incident response management (IRM) tools: Splunk On-Call and Grafana IRM.

Key Features Compared:

On-Call Management and Scheduling: Splunk offers advanced scheduling options, while Grafana provides simpler scheduling for smaller teams.

Alerting: Splunk excels in filtering and routing alerts, while Grafana offers flexible rules and visual insights.

Incident Response: Splunk provides a dedicated incident room for collaboration, while Grafana emphasizes streamlined workflows and automation.

Integrations: Splunk integrates seamlessly with Splunk Enterprise, while Grafana offers a wider range of native integrations and an open API.

Pricing: Splunk's pricing is less transparent, while Grafana offers a more straightforward pricing model.

Conclusion: The choice between Splunk On-Call and Grafana IRM depends on your organization's specific needs. Splunk is better suited for large organizations with complex IT environments, while Grafana is ideal for smaller teams that prioritize simplicity and customization.

For advanced incident management capabilities, consider Squadcast, a tool that offers features like AI-driven insights, reduced alert fatigue, and enhanced collaboration.

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