Operations | Monitoring | ITSM | DevOps | Cloud

On November 12, 2025, users around the world faced difficulty accessing Google Workspace products including Google Drive, Google Docs, Google Sheets, and Google Slides. While the outage did not impact every user, it was widespread and disruptive. StatusGator detected the incident early using real user data and issued an Early Warning Signal long before Google officially acknowledged the issue.

Behind every reliable dashboard and morning report stands a system of accountability: SQL Server Agent jobs. They’re what keeps backups on time, analytics flowing, and data pipelines steady when everything else moves fast. However, to sustain that reliability, SQL Server Agent must operate with precision at scale.

This post is a deep dive into how we improved the P95 latency of an API endpoint from 5s to 0.3s using a niche little computer science trick called a bloom filter. We’ll cover why the endpoint was slow, the options we considered to make it fast and how we decided between them, and how it all works under the hood.

Edge computing has been the buzzword of the decade. Everyone is talking about pushing intelligence closer to the edge, but most of that intelligence still needs a map and a flashlight. This week, CRN named LogicMonitor to its 2025 Edge Computing 100, recognizing companies that are actually doing something useful at the edge instead of just hyping it. We are honored. We are also a little amused.

If you’re like most developers, you know that writing code isn’t the bottleneck anymore. AI has made it faster than ever, and chances are you’re already using it. Yet, delivering software is still complex because of everything else you have to manage: fixing vulnerabilities, reducing tech debt, cleaning up feature flags, ensuring test coverage, writing documentation, and the list goes on. That’s why we built Rovo Dev, a context-aware AI agent for developers.

We're proud to share that Elastic has been named a Leader in the IDC MarketScape: Worldwide Observability Platforms 2025 Vendor Assessment (doc, November 2025). We believe this recognition validates our ongoing mission: to deliver an observability platform that is open, extensible, and AI-driven to power full-stack observability that unifies operational and business data at scale, allowing SRE teams to move from detect and resolve problems faster.

Observability works best when everyone who needs visibility can get it without the risk of unintentional changes. Honeycomb’s role-based access control system helps teams strike that balance with a selection of Owner, Member, and Read-Only member roles. This control gives teams more flexibility in how they share access across their organization, helping you scale visibility safely without sacrificing control.

AI in network operations is evolving faster than ever. But while new models and agents are emerging almost daily, they’re often working alone, with each confined to its own context, data, and domain. One model might analyze telemetry, another handles automation scripts, and a third generates summaries or recommendations. Each model might be intelligent on its own, but without a way to share context, they end up thinking in isolation, limiting what they can achieve together.

Traditionally, companies had to use separate tools for ETL, data storage, and analytics. Often, this resulted in slow, complex, and expensive data workflows A good example is PwC’s Deals, Insights & Analytics (DIA) team, which faced similar challenges. According to Microsoft, bespoke solutions often took months to build and were difficult to merge, slowing projects and driving up costs. That changed when PwC adopted Azure Synapse Analytics. The result?