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ClickHouse vs TimescaleDB: The Time-Series Decision Is Really a Postgres Decision
ClickHouse vs TimescaleDB compared honestly: Hypercore vs MergeTree, query patterns, operational trade-offs, and why the right choice depends on how far your time-series data lives from Postgres.
Vector Search in PostgreSQL with pgvector
pgvector turns PostgreSQL into a vector database. What it does, and what's changed since 2023: halfvec, sparsevec, iterative scans, and quantization.
Debugging High CPU Usage in PostgreSQL: A Root-Cause Walkthrough
A CPU core pinned at 100% on your Postgres box is a symptom. Here is the systematic way to trace it back to the query, lock, or bloat causing it.
Vacuum in Postgres Explained: Dead Tuples, MVCC, and Autovacuum
How PostgreSQL's VACUUM actually works under MVCC, why dead tuples pile up, and how to read and tune autovacuum instead of guessing at the defaults.
Concurrency, Isolation Levels, and Locks in PostgreSQL
How PostgreSQL handles concurrent transactions - dirty reads, non-repeatable reads, lost updates, lock modes, and deadlock detection, with runnable SQL examples.
How PostgreSQL Picks a Join Strategy: Nested Loop vs. Hash vs. Merge
PostgreSQL picks one of three join algorithms per query based on cost. Here's how Nested Loop, Hash Join, and Merge Join actually work, with EXPLAIN examples.
Why Postgres Isn't Using Your Index
PostgreSQL skips a valid index for one of two reasons: the planner expects a sequential scan to be cheaper, or the index structurally can't answer the query.
PostgreSQL Indexes Under the Hood: Pages, Tuples, and B-Trees
How PostgreSQL actually stores rows and builds B-tree indexes - page layout, MVCC visibility, tree fanout, and reading a live index with pageinspect.
Diagnosing High CPU and Memory Pressure on a ClickHouse Node
A systematic walkthrough for tracing a pegged ClickHouse node back to its cause: background merges, memory-bound aggregations, or thread pool misconfiguration.
ClickHouse Materialized Views Explained: Why They're Insert Triggers, Not Stored Queries
A ClickHouse materialized view is an insert trigger, not a stored query, it misses existing data, ignores UPDATE/DELETE, and can duplicate rows on retry.
ClickHouse Joins: What Actually Changed
ClickHouse's reputation for weak JOIN support is a few years out of date. Here's what changed under the hood, with real settings and a runnable example.
Inside ClickHouse MergeTree: Parts, Merges, and Why Inserts Get Throttled
How MergeTree stores data as immutable parts, why background merges eat CPU and IO, and the exact mechanism behind ClickHouse's too-many-parts error.
NeverBlink Announces Support for ClickHouse
NeverBlink, the AI DBA, now supports ClickHouse: detection of silent failures, root-cause analysis with the fix attached, query analytics, schema reviews, and 24/7 expert support.
ClickHouse vs Elasticsearch for Logs: Picking the Right Tool, Not the Trendy One
When ClickHouse beats Elasticsearch for logs, when it doesn't, and why the right answer depends on your query pattern, not the migration trend.
ClickHouse Monitoring: Metrics That Matter
The ClickHouse metrics worth alerting on - part counts, replication lag, memory, host and Keeper health, S3 cache hit rate - with system table sources and thresholds.
ClickHouse for Observability: Why the Data Shape Picks the Database
Telemetry is append-only wide events queried by aggregation. That shape is exactly what ClickHouse's columnar storage, codecs, and sparse index are built for.
Pulse Is Now NeverBlink AI: Reshaping Database Maintenance
Pulse is now NeverBlink. We're expanding beyond Elasticsearch and OpenSearch and building a proactive, AI-native approach to database maintenance.
Database Reliability Engineer vs. Site Reliability Engineer: What's the Difference?
SRE and DBRE share a philosophy but own different parts of the stack. What actually separates the two roles, where they overlap, and when to hire each.
What Is a Database Reliability Engineer (DBRE): and Why You Probably Can't Hire One
The book that invented the DBRE role also predicted most companies would never staff it, and prescribed the fix. Here's the buried quote, the scarcity math, and why the prescription is finally buildable in 2026.
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