Operations | Monitoring | ITSM | DevOps | Cloud

Meet Canvas: Your AI-guided Workspace Within Honeycomb

Modern systems are wonderfully capable, but relentlessly complex. Debugging across microservices, frontends, and cloud edges often means switching between five or more tools, trying to stitch together “what changed” and “why it broke.” Honeycomb’s wide events model has proven to be a superpower for taming that complexity, by allowing you to easily observe and query end-to-end traces without worrying about how much granular data you attach to your events.

Breaking Free from SQLite - Why We Added PostgreSQL Support to SigNoz

"Let us support different relational databases apart from SQLite. Nobody likes to run SQLite in production." This was one of the most requested features from our community. Your requests have been heard, and we've added support for different relational databases, starting with PostgreSQL. If you're self-hosting SigNoz, you no longer need to worry about SQLite's limitations. Let's dive into what we've built and why it matters for your production deployments.

Debug, query, and build faster with AI: How we use Grafana Assistant at Grafana Labs

We recently released Grafana Assistant into public preview for Grafana Cloud, and we’ve been excited to see how our customers have already made it part of their daily observability routines. At the same time, Assistant is becoming a go-to companion for developers right here at Grafana Labs, whether they’re debugging on-call issues, helping customers, or trying to remember tricky PromQL syntax.

DevOps Guide to Monitoring in Serverless Applications

Serverless computing helps teams move faster by removing the need to manage servers. Code runs only when needed, scaling up or down automatically. For DevOps engineers, this means quicker deployments and less infrastructure work. But serverless also brings new challenges. Functions run for short periods, making it hard to track errors, performance, and costs.

FireHydrant 4-Minute Demo

Get a quick walkthrough of the FireHydrant platform. FireHydrant is the all-in-one incident management platform that helps teams resolve incidents up to 90% faster — and prevent them from happening again. From flexible alerting and powerful automation to retros and AI insights, it brings clarity and control to every step of your response.

Pastries with SREs: Limitless observability and uncompromised donuts

In this episode of Pastries with SREs, we dig into Limitless Observability with a sweet side of unified observability strategy. If you're tired of siloed tools, fractured data, and swivel-chair investigations, this one’s for you. We explore: Why are silos still the norm in modern observability? What’s the true cost of inefficiencies across logs, metrics, and traces? How can SREs, IT operations, and dev teams shift to a no-compromise, unified observability model?

Diskless 2.0: Unified, Zero-Copy Apache Kafka

We’ve added Tiered Storage to Diskless Kafka—using plain old KIP-405 as the read-optimizer, Diskless Kafka materializes fast-to-read segments—unifying Tiered and Diskless into a single path. This leverages production-grade Tiered Storage plugin, removes the need for bespoke components, and simplifies the community discussion. We’ve also upgraded KIP-1150 and KIP-1163 to address the community’s most pressing questions such as transactions and queues support.

How we used Sentry's User Feedback widget to shape Logs throughout beta

At Sentry, we build in public and we move fast. But moving fast means we don’t always get everything right on the first try. That’s where feedback comes in: it helps us validate what’s working, spot what’s missing, and catch issues we wouldn’t always see through error tracking alone.

How to make Netflix reliable: Address low-hanging fruit

Reliability doesn’t have to be fancy and dramatic. Kolton and his team dramatically improved Netflix reliability by focusing on low-hanging fruit. FULL TRANSCRIPT: My first holiday peak at Netflix, where my VP of engineering came to me and he said, "Kolton, what do you think the chance we make it through the holiday peak without an outage is?"  I thought about it for a minute and I said, "50/50.".

How to migrate data from Snowflake to SQL Server using SSIS

Learn how to connect SSIS to Snowflake, access your cloud data warehouse, and load data into SQL Server using Devart SSIS Data Flow Components. This clear, step-by-step guide covers setting up the connection, selecting and previewing Snowflake data, and running smooth, efficient data transfers—all without coding. Ideal for data professionals looking to simplify Snowflake integrations with SSIS.