Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

How Elasticsearch Works: Documents, JSON & Index Explained

Ever wondered how Elasticsearch can search any kind of data? In this video, we break it down with a simple deck of cards analogy that makes indexing easy to understand. Each card is like a JSON document with fields and values, suit, color, number, type. Combine them and you’ve built an index, giving Elasticsearch the power to answer queries like “show me all the red cards” or “show me only the face cards.” If you can describe it, you can index it, and if you can index it, you can search it.

Visualize Logs Alongside Metrics: Complete Observability for Slow PostgreSQL Queries

When latency creeps into your app, metrics tell you that performance regressed, but logs tell you why. PostgreSQL’s slow-query logging gives you the exact statement, duration, user, and database which is perfect for hunting down missing indexes, inefficient filters, or N+1 patterns.

Caddy Webserver Data in Graylog

If you’re running Caddy Webserver on Ubuntu, Graylog now has a new way to make your access logs more actionable without tedious parsing or manual setup. The new Caddy Webserver Content Pack, available in Illuminate 6.4 and a Graylog Enterprise or Graylog Security license, delivers ready-to-use parsing rules, streams, and dashboards so you can quickly turn raw logs into structured, searchable insights.

Raising the bar in observability and security: Coralogix extensions at scale

In today’s high-velocity digital ecosystem, visibility isn’t enough. SREs and engineering leaders need real-time insights, actionable signals, and automated workflows to operate at scale. As systems grow more distributed and cloud-native, the demand for intelligent observability and security has never been higher. Extensions are solutions to get instant observability with prepackaged parsing rules, alerts,dashboards and more.

Elasticsearch Explained for Beginners: From Spreadsheets to JSON, Indices & Shards

Ever wondered how Elasticsearch actually works? In this quick breakdown, I’ll use a simple spreadsheet analogy to explain the basics from documents and indices to shards, CRUD operations, and mappings. You’ll see how Elasticsearch stores data as JSON documents, splits indices into shards for scalability, uses CRUD with ID hashing for fast lookups, and applies mappings to organize text, numbers, and labels.

How Tipalti mastered Elasticsearch performance with AutoOps

From manual monitoring to proactive optimization, learn how Tipalti used AutoOps to save 10% annual costs. For a global payables automation leader like Tipalti, where financial transactions are the lifeblood of the business, infrastructure performance isn't just a technical goal; it's a core business requirement. Managing a complex ecosystem of databases, including Postgres, SQL Server, MongoDB, Kafka, and Elasticsearch, with a lean team of four engineers demands efficiency and powerful tooling.

APM Logs: How to Get Started for Faster Debugging

When application performance monitoring detects a spike in latency or error rates, the immediate challenge is determining the underlying cause. APM logs address this by correlating performance metrics with the specific log events that occurred at the same time. Instead of switching between monitoring dashboards and manually searching through log files, APM log correlation consolidates both views.