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Dynatrace integrates with AWS Elastic Container Registry (ECR) to enable visibility, orchestration, and prioritization of cross-container-registry vulnerability findings. This integration provides a single pane of glass for container image scans of your containerized applications and is part of a larger effort to enrich vulnerability findings with runtime context.
The 2024 Magic Quadrant™ for Observability Platforms Report has been recently published by Gartner® recognizing Dynatrace as a Leader for the 14th consecutive time. This year, Dynatrace was positioned furthest for Completeness of Vision and highest for Ability to Execute. Additionally, Dynatrace ranked first in three of five Use Cases in the 2024 Gartner Critical Capabilities for Observability Platforms.
In today's data-driven world, organizations increasingly rely on sophisticated data pipelines to manage vast volumes of data generated daily. A data pipeline is more than just a conduit for data — it is a complex system that involves the extraction, transformation, and loading ( ETL ) of data from various sources to ensure that it is clean, consistent, and ready for analysis.
Recently, one of our customers reported a problem after upgrading a sharded cluster from MongoDB 5.0 to 6.0. The upgrade of data-bearing nodes was fine, but in the final part of the process, where mongos routers needed to be restarted, the new version did not go well.
The cost of downtime is only increasing, not just for manufacturers but for everyone. Big manufacturers lose a staggering $1 trillion a year to machine failure. With global manufacturers still struggling to regain their post-COVID momentum , there’s a real need on the part of manufacturers to find ways to reduce spending. Preventive maintenance, also known as preventative and predictive maintenance – including preventive maintenance software and preventive maintenance tools – is one readily evol
Why Predictive Maintenance Requires Real-Time Decisioning The cost of downtime is only increasing, not just for manufacturers but for everyone. Big manufacturers lose a staggering $1 trillion a year to machine failure. With global manufacturers still struggling to regain their post-COVID momentum , there’s a real need on the part of manufacturers to find ways to reduce spending.
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