Automated TLS termination for thousands of custom domains on HAProxy. DigiCert HTTP DCV, internal KMS, sync agents, HAProxy runtime API for zero-downtime cert updates.
Ampere Performance Toolkit (APT) helps developers port, benchmark, and optimize Arm64 workloads with tools for migration, profiling, and performance analysis.
A multimodal neural network that unifies per-modality losses and optimizers into a single cumulative loss, enabling flexible, scalable training across heterogeneous data.
Learn to build production-ready GenAI pipelines on Snowflake with delta-aware ingestion, scalable retrieval, and observability for reliability and cost control.
Accelerate SQL Server loads with bulk ops, partitioning, columnstore, minimal logging, smart batching, and tuned server settings, reducing production load times by 3–10x.
An overview of Microsoft Fabric scaling. Teams that optimize, isolate workloads, and monitor capacity can avoid performance issues and operational costs.
A significant portion of the front-end performance issues that arise are not due to the frontend at all but to the back-end APIs, dependencies, and infrastructure.
Learn essential network fundamentals that every backend developer needs to master. Understand TCP/IP, DNS, HTTP protocols, and debugging to build better applications.
“Stateless” systems aren’t. Hidden state — caches, pools, SDK retries, kernel buffers — breaks deployments and scaling. Make it explicit, externalized, and observable.
Cloud systems scale — but unchecked, they can bankrupt you. Measure, automate, and optimize costs to keep your infrastructure resilient and your budget intact.
Retries can amplify failures into outages. Use backoff, circuit breakers, idempotency, load shedding, and observability to keep systems stable under pressure.
A deep dive into PySpark UDF performance, showing why standard Python UDFs slow pipelines and when to use Pandas UDFs or native Spark functions instead.
Troubleshoot Kubernetes database connectivity using a layered diagnostic framework and achieve rapid root-cause identification and production stability.
CORE
