Operations | Monitoring | ITSM | DevOps | Cloud

Creating Efficient Work Environments That Scale

Here's the thing nobody tells you when you're hiring fast: the office that felt perfectly sized for your 20-person team will quietly become your biggest operational liability by the time you hit 60. The same goes for your tools. That "good enough" stack you launched with? It starts generating bottlenecks the moment your hiring accelerates past a manageable pace.

Top tips: Not all your thoughts are yours; here's what to do about it

Top tips is a weekly column where we highlight what’s trending in the tech world and share ways to stay ahead. This week, let's look at a few ways you can make your thoughts your own in this era of information overload. Have you noticed how you think about life decisions, current affairs, and spending patterns? Why do you think a certain way? Is it your upbringing, the media, or the internet?

OpenTelemetry Trace Testing for CI Release Gates

OpenTelemetry is great at answering one question: “what just broke?” The problem is that most teams need a different answer first: “what is about to break in this release?” That is where trace-based testing comes in, especially for teams running a vendor-neutral OTel stack (Collector + Tempo/Jaeger + Prometheus) and needing deterministic release gates.

When Your Observability Literally Stops Traffic

Last week, a fleet of autonomous robotaxis in China suddenly stopped working—at scale. Over a hundred vehicles stalled across a city, stranding passengers in traffic and raising immediate concerns about safety, reliability, and trust in autonomous systems. This wasn’t just a bad day for self-driving cars. It was a distributed systems failure, one that happened in the physical world, not just in dashboards.

CEO Jeffrey Russell on Technology Modernization

Today’s business environment is shaped by AI, evolving security demands, and a clear commitment to delivering measurable results. In this landscape, technology modernization has become a strategic imperative. Meaningful transformation requires clarity of purpose, deep customer understanding, and the ability to translate technology investments into tangible outcomes.

Rovo Chat in Bitbucket now understands your Pipelines

Why did your build fail? Ask Rovo, get a clear answer, and even a way to fix it, from anywhere in Bitbucket Pipeline debugging is one of the most common and most painful parts of the development workflow. In our Atlassian research: AI adoption is rising, but friction persists, over 50% of developers reported losing more than 10 hours each week searching for information, onboarding to new code, or toggling between apps.

Best Emergency Mass Notification Solution for Businesses: OnPage (2026 guide)

When a critical incident or emergency strikes, businesses rely on well-defined incident response procedures to accelerate remediation. Incident response teams are on standby, and each responder understands their role in restoring services and minimizing customer impact. However, organizations often overlook an equally critical requirement: real-time communication with all stakeholders during incidents. This is not just an operational gap, it is increasingly a compliance and risk management requirement.

Integrate Recorded Future threat intelligence with Datadog Cloud SIEM

Recorded Future provides real-time threat intelligence about indicators of compromise (IOCs), including malicious IP addresses, domains, and vulnerabilities. It also adds context on threat actors and campaigns to help security teams understand which signals represent real risk and prioritize their responses accordingly.

Platform engineering metrics: What to measure and what to ignore

Platform engineering teams have access to hundreds of metrics, yet over 40% of platform initiatives cannot demonstrate measurable value within the first year. Teams that cannot quantify their impact fail to obtain executive sponsorship, risk being defunded, and ultimately, face deprecation. To accurately calculate a platform’s ROI, platform engineering teams need to differentiate between signals that measure platform effectiveness and those that should be used solely for investigative purposes.

Not all index scans are equal: How we cut query latency by over 99%

When engineers investigate SQL queries, they normally think of index scans as a fast and efficient step in the query’s execution plan. When executed correctly, they fetch only the relevant rows from your table as opposed to sequential scans that read the entire table, reducing latency and query costs. However, just because an execution plan uses an index scan doesn’t mean that the scan is fast or performant.