Explore 2246 articles on AI, cybersecurity, networking and IT. 25 detailed practical guides now include concrete inputs, step-by-step procedures, expected results and troubleshooting. The remaining 2221 articles retain their existing content.
Defend against AI-assisted attacks with practical guidance for cybersecurity and network professionals. Ten reading paths contain 20 articles each, with threat scenarios, evidence requirements, control designs and authorized validation plans. The collection includes protection for AI systems used by defenders and businesses. Behavioral evidence is kept separate from claims about an attacker's use of AI.
Build reliable agents and run language models on your own infrastructure. Explore 160 AI Agents techniques and 140 Local LLM techniques across 15 reading paths, with 20 techniques per path. Each guide includes an implementation action, a validation exercise, platform context and official documentation for further reading.
Diagnose stale reports, late logs, slow queries and unreliable alerts. Explore 40 Power BI articles, 40 Splunk articles, 40 SQL Server articles, plus 20 each on PostgreSQL, MySQL, pipeline freshness and data quality, and alerting and observability. Each guide connects a specific symptom to evidence, a focused correction and validation.
Prepare for CCNA 200-301 v1.1 with 100 focused topics, each paired with a recall guide and an original practice exercise. Build understanding through packet tracing, subnet calculations, lab evidence, troubleshooting and spaced review. These are independent study guides; 200 is the collection size, not the number of questions on the exam.
Reviewed 2 November 2026. Check Cisco’s current exam information before booking. Reading paths are study groupings and do not represent official exam weights.
Ten focused reading paths with 20 articles each. Start from routing and fabric behavior, then explore transport, name resolution, security, host performance, storage, availability and incident evidence.
Choose a platform to explore 50 guides, from a first task brief to reusable workflows. Microsoft Copilot guides cover the consumer and Microsoft 365 experiences; in-app features depend on your account and license.
Oracle Database
An object-level view helps identify which tables are involved in current transactions. It does not by itself show a complete row-level blocking chain.
Read article : Map transaction locks to Oracle objectsOracle Database
A serializable transaction can fail when concurrent committed changes conflict with its view of data. This is an application transaction-design issue, not a corrupted block.
Read article : ORA-08177: handle serializable transaction conflicts correctlyOracle Database
An interrupted distributed commit can leave a transaction holding resources until its outcome is resolved. Gather the transaction identifier from the error.
Read article : ORA-01591: inspect an in-doubt distributed transactionOracle Database
An expected savepoint may no longer exist after a commit, full rollback or implicit DDL boundary. Capture the operation sequence rather than only the final rollback error.
Read article : Investigate a rollback-to-savepoint failure in application codeOracle Database
A slow system needs a shortlist of statements consuming time, with execution count kept in view. Cached totals are not a historical workload report.
Read article : Find cached SQL with high total elapsed timeOracle Database
Excessive logical reads can consume CPU even when storage latency is low. Inspect per-child buffer gets with execution counts.
Read article : Find logical-read-heavy Oracle SQLOracle Database
Slow read-heavy work may reflect a large intended scan, poor access path or storage latency. Start by identifying the cached statements involved.
Read article : Inspect SQL with high physical-read totalsOracle Database
A hypothetical plan may differ from the one the application executed. Display the correct cached child cursor when investigating a regression.
Read article : Inspect a cached execution plan without running EXPLAIN PLANOracle Database
A single SQL ID can have many children because its executions cannot share one cursor environment. Collect the mismatch reasons before changing caches.
Read article : Investigate many child cursors for one SQL statementOracle Database
A parse storm can increase CPU and shared-pool pressure. Capture related counters twice rather than diagnosing from one lifetime total.
Read article : Measure Oracle parse activity as interval deltasOracle Database
An application may issue nearly identical statements with values embedded in the text, reducing reuse and increasing parsing work.
Read article : Detect many literal variants of Oracle SQLOracle Database
An optimizer can estimate poorly when statistics no longer represent the data. Inspect relevant table and partition statistics before gathering everything.
Read article : Check optimizer statistics for the actual table and partitionOur original short guides to AI, account protection, and recovery.