Sutter's Mill

OCTOBER 10, 2024

Tomorrow I’ll be joining Jens Weller for a live AMA on “Meeting C++ online.” The coordinates are: Link: Meeting C++ live with Herb Sutter + live on LinkedIn and Facebook Date: Friday 2024-10-11 Time: social hour starts at 19:00 CEST, AMA starts at 20:00 CEST I’m looking forward to your technical questions about C++26 evolution, cppfront, Rust, reflection, safety and security, concurrency and parallelism, and software in general… and optionally questions about SF/fan

C++ 75

C++ Software Software 75

Dynatrace

OCTOBER 10, 2024

In previous installments of our Transformation Story blog series, we shared our vision of excellence in employee experience and covered the key elements of our journey so far. We have detailed the launch of our Dynatrace Culture Code. Now, it’s time to reflect on how we continue to build the Dynatrace Employer Brand. Building an employer brand: Why it matters A compelling employer brand acts as the window to an organization’s soul: its culture.

Best Practices 187

Best Practices Code Design Speed 187

Dynatrace

OCTOBER 10, 2024

Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights. Visualizations help to curate data into a form that is more accessible to understand, highlighting trends and outliers, gaps, clusters, or patterns.

Latency 211

Latency Infrastructure Monitoring Metrics 211

Dynatrace

OCTOBER 10, 2024

Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. You’re gathering a lot of data, but you can’t make sense of it. You need to visualize the distribution of your measurements to identify patterns, outliers, and trends. But there’s a problem: Your current tools don’t support histograms. Incorporating histograms is not just a technical upgrade; it’s a necessity for any observability professional.

Metrics 152

Metrics Monitoring Efficiency Availability 152

Dynatrace

OCTOBER 10, 2024

Deal with data overload in the enterprise In today’s rapidly evolving digital landscape, enterprises are inundated with vast amounts of data. Extracting meaningful insights from this data is crucial for staying competitive. However, traditional data analysis techniques can be time-consuming and demand specialized expertise, limiting how quickly and easily insights can be obtained.

Availability 288

Availability Metrics Tuning Analytics 288