Operations | Monitoring | ITSM | DevOps | Cloud

Team performance management is an essential part of leading a workforce and ensuring desired outcomes are achieved. As employees on average spend 54% of their time working in teams, it’s important to measure their performance as a collective. However, many organizations are struggling to effectively manage and measure team performance, leading to inefficiencies and missed opportunities. ‍ ‍

My Top Five Takeaways from Aiven Live, by Florian Engel, Director of Customer & Content Marketing.

Customer support is an integral part of any business, and providing top-notch service can make or break your reputation. In today’s fast-paced digital landscape, customers demand quicker and more efficient solutions to their problems. This is where Generative AI-assisted helpdesks come into play, revolutionizing customer support as we know it. In this blog, we’ll explore the importance of transforming customer support and the myriad benefits of implementing Generative AI in this context.

Does the future of business success depend on the customer experience? As technology advances customer expectations toward increased personalization, how crucial is the role of MSPs in reshaping these interactions by 2030? Does the compass of customer experience recalibrate with advancing technology? Looking ahead to 2030, is the landscape of customer experience undergoing a transformative shift, establishing a new benchmark that goes beyond meeting expectations to surpassing them?

When it comes to managing infrastructure resources, striking a balance between rightsizing and cost optimization is crucial. Our cloud infrastructure at Mattermost runs on multiple Kubernetes clusters, RDS clusters, and S3 buckets, all isolated from each other for enhanced security and performance.

At Lumigo, building developer-first tools has always been at the forefront of our approach to troubleshooting and debugging. As developers ourselves, we have experienced firsthand the frustration and intricacies of sifting through logs looking for answers. We’ve also felt the pressure of the clock ticking, with production issues waiting to be resolved and the need for timely answers to surfaced application issues.