Code Metrics Speed 
CSS Wizardry
NOVEMBER 3, 2020
When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. Higher variance means a less stable metric across pages. Visualising the Data.
DZone
APRIL 16, 2021
Lines of code govern almost everything we do in our day-to-day activities. In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Often speed and quality seem at odds with one another, but in reality, this isn’t the case.
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Dynatrace
DECEMBER 12, 2024
I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.
Dynatrace
APRIL 8, 2020
Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. Any significant reduction in allocations will inevitably speed up your code. So what’s going on here?
Dynatrace
FEBRUARY 21, 2024
Organizations can customize quality gate criteria to validate technical service-level objectives (SLOs) and business goals, ensuring early detection and resolution of code deficiencies. Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC.
Dynatrace
FEBRUARY 9, 2022
Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Many observability solutions don’t support an “as code” approach. Dynatrace enables software intelligence as code. Observability is required for effective collaboration and automation.
Dynatrace
AUGUST 2, 2021
Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.
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