Honeycomb announced new features in its SaaS-based Application Performance Monitoring (APM) tool that delivers high-resolution ("hi-res") production monitoring and rapid debugging for business-critical applications.
With these new features, DevOps and Site Reliability Engineering (SRE) teams can proactively analyze event-based production data more easily and investigate and resolve issues in a fraction of the time it takes traditional monitoring and APM tools.
Seeing production in hi-res with Honeycomb means two things: Users gain a clearer view into how production is behaving, and they are more efficient when investigating problems, by being able to ask any question to accelerate debugging and incident resolution within and across teams.
"Engineering and DevOps teams need a clear picture of what's actually going on in modern production environments and a tool to help better understand why an issue may be occurring," says Charity Majors, co-founder and CTO of Honeycomb. "These new features make it easier for teams to observe in real time how users interact with their code as it hits production and the context of why something is happening. This gives teams a faster path to achieving observability, embracing a culture of software ownership, and ultimately customer happiness."
New product enhancements include:
- Intuitive New Home Page features a redesigned layout that orients users with immediate access to real-time interactive charts to observe production, keeping an active eye as new code is deployed.
- BubbleUp offers instant, automatic detection of outliers, saving significant time trying to manually investigate the conditions causing the issue. Users can select suspect areas of heatmaps and see what's behaving differently from the baseline.
- Distributed Tracing Accessed With a Click directly from line graphs, histograms, or heatmaps to easily navigate across services, examine crucial details and discover latency, errors or duplicates. Users can conduct full-text search over trace spans, collapse and expand for easy viewing, and spawn new queries from a waterfall view.
- Team Collaboration and Elevation is essential, and Honeycomb makes knowledge transfer easy and organic. Users can share and search query history, replay debugging steps, curate dashboards for new team members, inform on-call, and elevate everyone to the level of the best debugger.
The Latest
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...