Operations | Monitoring | ITSM | DevOps | Cloud

Email archiving means four different jobs, and buying the wrong one is common. Compliance journaling, in-place archives, departed-user archiving and backup compared, with what to check before you buy.

Data Center Infrastructure Management (DCIM) software is evolving in three overlapping stages: Now (a unified ingestion and observation layer across power, cooling, and IT systems), New (expanded control functions, including bandwidth management), and Next (generative and agentic AI built on top of that monitoring foundation). Understanding which stage a platform actually operates in is the single most useful filter for evaluating DCIM vendors in 2026 and beyond.

BubbleUp has always been the fastest way to figure out what a group of outliers have in common. Draw a box around a band of slow traces, a cluster of errors, or any set of events you're interested in, and BubbleUp compares that selection to the baseline across every dimension you've sent us. It's how Honeycomb users find the "unknown unknowns" that dashboards can’t show you.

Your largest prospect has asked for your SOC 2 report. The deal sits still until you produce one. Most teams handle the first half of SOC 2 compliance fine. They control access. They run backups. They put changes through approval before anything ships. The second half is what stops them, and that half is proof. Your policy says access gets reviewed every quarter. The auditor wants the dated review, the signature on it, and the same record from eight months ago.

How many findings from your last vulnerability scan have been verified as fixed? For most IT functions, the scan report is easy to produce, and the proof of closure takes far longer to assemble. That difference tends to surface at the worst possible moment, usually an audit or a post-incident review. Vulnerability assessment tools are meant to end that uncertainty. They inspect systems, match what they find against public vulnerability databases, and rank each weakness by how dangerous it is.

AI has fundamentally changed software development. Developers are writing more code than ever. AI coding assistants can generate features, tests, documentation, and infrastructure configurations in minutes. Engineering organizations are seeing meaningful productivity gains as AI becomes embedded throughout the software development lifecycle. But there is a catch. Security teams now face a difficult reality: application security was already struggling to keep pace with software delivery before AI arrived.

The latest Resilience Testing documentation update brings Chaos Hub directly into the docs, making it easier to discover and use fault, probe, and action templates. It also introduces a Prompt Library with ready-to-use AI prompts for Harness MCP, helping teams run resilience workflows faster using natural language.

You can already send OTel traces to Sentry. Point your OTLP exporter at Sentry’s endpoint, set environment variables, and your spans show up in the trace explorer. Our OTLP setup guide and “You Don’t Need to Pick One” walk you through that. But those spans are islands. You get a trace waterfall in Sentry, sure.

Planning a migration off NSX usually starts with a networking conversation. Segments, VLANs, routing topology and BGP peering are not things that map cleanly to Kubernetes-native constructs the way the NSX distributed firewall maps to Calico’s tiered microsegmentation. NSX virtualizes the network layer in ways that Kubernetes doesn’t replicate by default. There is no native concept of a Layer 2 segment or VLAN, for instance.

Most organizations don’t experience modernization as a single initiative. It unfolds over months and years, through a series of decisions made as technology shifts, business needs change, and operational demands grow. Teams adopt new capabilities, automate manual work, sharpen visibility, and strengthen security. These efforts look independent, but they share one requirement: a platform foundation that can keep up with continuous change.