Tencent Cloud Application Performance Management vs Tencent Cloud Data Lake Compute (DLC)

Tencent Cloud Application Performance Management (APM) monitors application performance through metrics, traces and logs, and supports analysis and troubleshooting across distributed architectures. It uses probes to monitor applications in real time without code modifications. Traces map request paths across microservices and can include request parameters, transaction data, errors, exceptions, method stacks and instance environment details. APM also discovers application dependencies and shows global topologies for examining application and component bottlenecks.

Its analysis groups performance and exception metrics by dimensions such as API, exception and database call, helping identify slow APIs, SQL statements and recurring exceptions. Named database integrations include MySQL, Oracle, MongoDB and Redis. APM supports OpenTelemetry and works with SkyWalking and Jaeger tracing protocols when reporting configuration is changed. It can associate traces with Cloud Log Service logs, display Cloud Monitor dashboards, and send traces to CKafka with configuration and permissions. Applications outside Tencent Cloud can connect when network access is available. New users receive a 15-day trial, limited to 100 million reported Spans and seven-day trace storage; pay-as-you-go also lists one million Spans per day free for reporting and retention. Pricing includes a $0.02 a month pay-as-you-go rate billed hourly per million Spans reported, plus retention at 0.012 USD per million Spans per day.

Tencent Cloud Data Lake Compute (DLC) is a cloud service for querying data through shared or dedicated engines. It includes a metadata catalog, governance controls, and support for open table formats. Queries are available through both a graphical interface and a command-line interface. DLC lists three plans: Shared engine, Dedicated engine pay-as-you-go, and Dedicated engine subscription. Shared engine billing is based on successfully scanned query data. The dedicated engine plans use compute units, with one CU described as approximately one CPU core and 4 GB of memory. The service is paid and has no free plan. Its listed platform is web, so access is browser-based. The plan choices separate scanned-data billing from dedicated capacity, with dedicated resources available under either pay-as-you-go or subscription terms. DLC therefore combines query access with cataloging and governance in a cloud deployment.