Operations | Monitoring | ITSM | DevOps | Cloud

mezmo

Take Back Control of Your Observability Spend

Jan 27, 2026 By Mezmo In Mezmo
As budgets reset for 2026, engineering leaders are making a resolution: no more vendor lock-in. Here’s how to keep that promise by building on the technical foundations of data reliability and simplified collection. It’s January 2026, and if you’re like most engineering leaders, you’re staring at your observability vendor contracts with a mix of frustration and resignation.
Read Post
How Modern Network Analytics Drive Faster, More Reliable Applications

How Modern Network Analytics Drive Faster, More Reliable Applications

Jan 27, 2026 By OpsMatters In OpsMatters
Your users face sluggish performance and spotty connections daily. Hybrid cloud paths, SaaS platforms, SD-WAN routes, and Wi-Fi networks all contribute to this frustration. Microsoft recently revealed they handled a 2.4 Tbps DDoS attack on Azure, proving how enormous network events quietly erode application quality without causing total blackouts.
Read Post
atatus

How Observability Cuts IT Costs? [7 Proven Ways to Reduce Infra, Storage and Operational Spend for 2026]

Jan 26, 2026 By Pavithra Parthiban In Atatus
IT budgets are getting squeezed, yet teams are expected to deliver faster releases, higher reliability and tighter security. Observability has become one of the few levers that directly influences IT cost reduction because it gives teams the ability to understand exactly what’s consuming resources, wasting storage, dragging performance, and inflating operational workload. In this guide, you’ll learn seven evidence-backed strategies that leading engineering teams use to cut expenditure.
Read Post
dotcom-monitor

API Observability: Why Outside-In Signals Are Still Essential

Jan 25, 2026 By Dotcom-Monitor In Dotcom-Monitor
API observability has become a go-to goal for modern engineering teams. As architectures shift to microservices and APIs become the backbone of products, teams need a reliable way to understand what’s happening across services, before issues turn into incidents. That’s where observability comes in: collect the right signals, connect the dots, and debug faster.
Read Post
coralogix

Introducing System Datasets: Observing the Observability Platform

Jan 25, 2026 By Coralogix Team In Coralogix
Modern observability platforms are great at explaining what’s happening in your apps and your infrastructure. However, all too often the observability platform itself remains a black box. As observability data and usage grow, governance almost always lags behind, and teams struggle to answer basic operational questions like: This valuable data is typically fragmented across admin UIs, billing pages, support tickets, and tribal knowledge.
Read Post
honeycomb

AI in Production Is Growing Faster Than We Can Trust it

Jan 23, 2026 By Fahim Zaman In Honeycomb
Enterprise software has moved past the generative AI testing phase. Businesses with millions of daily users or workloads are no longer just prototyping LLMs in a vacuum. They’re directly wiring agentic efficiency into product interfaces and infrastructure to stay competitive. This wave is often compared to the spread of microservices in the past, but we aren’t just adding new dependencies and complexity.
Read Post
Sponsored Post
Breaking Down IT Silos with OpManager Plus's Full-stack observability

Breaking Down IT Silos with OpManager Plus's Full-stack observability

Jan 22, 2026 By Sandhya Saravanan In ManageEngine
In today's complex and dynamic IT landscape, a single application relies on dozens of interconnected services, from physical servers to virtual machines, cloud instances, and third-party APIs. When something goes wrong, a traditional monitoring approach that focuses on individual components is no longer enough. This is where full-stack observability becomes critical. It's the ability to gain a holistic, real-time understanding of your entire technology stack, from the user experience all the way down to the underlying network infrastructure.
Read Post
grafana

ChatOps that actually works: Grafana Cloud, Slack, and AI-powered observability

Jan 22, 2026 By Ksenia Yadav In Grafana
Context switching isn’t just inefficient—under pressure, it’s exhausting. It slows decision-making, increases the risk of mistakes, and makes even experienced engineers feel like they’re always a step behind the system they’re responsible for. At Grafana Labs, we want to build tools that meet you where you are. That's why we embedded Grafana Assistant, our context-aware AI assistant, directly in Grafana Cloud.
Read Post
splunk

Observability That Works: Understand System Failures and Drive Better Business Outcomes

Jan 22, 2026 By Stephen Watts In Splunk
Modern systems don't fail because engineers lack skills; they fail because teams can't see why systems are failing at all or can’t see why they’re failing fast enough. Often, the problem isn't a lack of tools — it's a lack of clear, connected visibility across data, teams, and systems. This is where observability transforms how organizations operate. It's no longer just about keeping systems running.
Read Post
influxdata

From Monitoring Signals to Observability Maturity

Jan 22, 2026 By Allyson Boate In InfluxData
Efficient monitoring delivers fast results: alerts fire within seconds, dashboards refresh continuously, and teams know the moment something changes. Understanding arrives later. An alert may show that a value shifted, but it does not explain why it shifted, how far the impact will spread, or which components truly matter. Teams see the signal, not the system behavior behind it. This gap defines the limit of traditional monitoring. Detection has improved, but explanation has not kept pace.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.