Operations | Monitoring | ITSM | DevOps | Cloud

Query and Analyze Logs Visually, Without Writing LogQL

It’s 2 AM. An incident’s in progress. Error rates are climbing. You jump into the logs, filter by service, adjust the time window… and now you need a LogQL query. You write one. It errors out. You fix the syntax, try again, only to realize you need a different filter or a new aggregation. Back to rewriting. By the time you’ve got the query right, you’ve already lost 10–15 minutes. The system is still broken, and you still don’t know why.

Trace Go Apps Using Runtime Tracing and OpenTelemetry

When your Go service hits 500ms latencies but CPU usage is flat, tracing gives you visibility into what the profiler misses. With 1–2% runtime overhead, Go’s built-in tracing tools help you: This makes it easier to debug performance regressions that don’t leave a clear footprint.

Introducing JFrog's MCP Server: Better vibes and easier AI automation

Good news! You no longer have to be a DevOps or JFrog expert to harness the power of the JFrog Software Supply Chain Platform. With the introduction of JFrog’s MCP Server, we’re making the JFrog Platform accessible to your favorite large language models (LLMs). Now, every developer can take advantage of the detailed security and package information available in JFrog, such as vulnerability data from the JFrog Catalog, without needing to context-switch.

Beyond Human: AI-Powered Network Operations for the Enterprise

AI doesn’t replace teams. It frees them. AI can be viewed as a digital twin, shouldering the manual load, eliminating low-value work and giving people their time back. In network operations, where every second counts and pressure never lets up, AI becomes the way to rise above the pressing workload. The overwhelming workload isn’t due to teams being incapable, but more because they’re buried in busywork.

Cloud Storage Full? Try These Quick Fixes

Tired of getting cloud storage full messages? Having your account blocked because you’ve reached your storage limit can be frustrating, especially if you don’t know why your space is being occupied. To help you out, this article breaks down the fastest and simplest ways to clear space on your cloud account, from removing hidden junk to optimizing your settings.

Elasticsearch is a recommended vector database in the NVIDIA Enterprise AI Factory validated design

Elastic now integrates with the NVIDIA Enterprise AI Factory validated design to provide users with a recommended vector database for their on-premises AI Factories. The validated design provides enterprises with a framework for building and deploying AI Factories on-premises.

Getting started with Dynatrace dashboards

Dynatrace gives you incredibly deep observability data. But all that depth can bury the insights needed. In this blog, we show how to turn Dynatrace's complex telemetry into visual dashboards that actually make sense. Dynatrace is a leading observability and application performance monitoring (APM) platform, known for its deep insight into complex, modern cloud environments. With capabilities spanning infrastructure monitoring, real user monitoring, and security, Dynatrace offers powerful telemetry.

Navigating Change: How VMware's VCSP Partner Reduction Affects Your Business

VMware customers are once again facing major change. Under Broadcom’s ownership, VMware’s is closing its Broadcom Advantage Partner Program for VMware Cloud Service Provider (VCSP) partners on October 31, 2025. This change will also include any VCSP Partner contracts not being renewed after this date. For many, this shift is more than an internal reshuffle.

Build vs. Buy: The True Cost of AI Security Data Pipelines

Security operations today are drowning in data. With cloud workloads, SaaS tools, endpoint agents, and firewall appliances all generating telemetry 24/7, many organizations are reaching a tipping point—unable to afford full visibility, yet afraid of what might slip through the cracks. That’s why AI-native security data pipelines have emerged as a critical solution.