Operations | Monitoring | ITSM | DevOps | Cloud

When your Docker container isn't behaving the way you expect, you need to get inside and see what's going on. Maybe your app is throwing errors, a service won't start, or you just need to check some configuration files. Getting into a running Docker container is simpler than you might think, but there are several ways to do it depending on your situation. This guide shows you exactly how to log into Docker containers, troubleshoot common issues, and debug your applications effectively.

Datadog may be the default choice for all-in-one observability, but its logging experience takes a back seat to the broader platform. Logs are primarily designed to feed into metrics and traces, which leads to tradeoffs such as slower search, complex workflows, and a UI that isn’t optimized for log investigations. As a result, Datadog doesn’t align with how developers actually troubleshoot.

Last week saw several huge milestones for BigPanda. We launched the BigPanda agentic IT operations platform, a sweeping evolution of our product offerings. As part of this launch, we also introduced two new AI solutions, BigPanda AI Detection and Response and BigPanda AI Incident Assistant. These powerful new capabilities bring agentic AI into IT operations, transforming how enterprises automate the manual and time-intensive workflows of ITOps, L1 response, and incident management.

Distributed tracing tracks requests as they flow through microservices, revealing bottlenecks, failures, and performance patterns. Without proper tracing, debugging production issues becomes guesswork—especially in complex architectures with dozens of services. Modern applications generate millions of traces daily. The right vendor helps you extract actionable insights without drowning in data or breaking your budget.

Advancing digital transformation in education through Search AI and cloud innovation We’re thrilled to share that Elastic has achieved the AWS Education ISV Partner Competency. This prestigious designation recognizes Elastic as an Amazon Web Services (AWS) partner that has proven expertise in delivering high-quality solutions that help education institutions support successful student outcomes while protecting security and privacy.

Splunk recently announced exciting updates and significant modernizations for the upcoming releases of Splunk Enterprise and Splunk Cloud Platform. This blog is the first in a series to help prepare your organization for these changes by exploring upgrade readiness best practices. This first installment will highlight the Splunk Health Assistant Add-On, a vital tool that supplements the Splunk Enterprise Monitoring Console, designed to streamline your transition to the next version of Splunk Enterprise.

Coroot is excited to feature an editorial from GlassFlow for our first Open Source Spotlight. We hope to improve the workflow of our global community of SREs and DevOps professionals by sharing exciting projects like Glassflow, which make innovation accessible for everyone through the freedom of open source. If you have an open source or open core project you’d like to see on our blog next, send us a message!

Traditional databases store data in structured tables, whereas NoSQL (non-SQL) databases use more flexible, non-tabular storage methods. NoSQL databases can store a wider range of data types, including document stores, wide columns, key-value stores, and graphs. These databases first emerged in the late 2000s to support massive horizontal scaling and high-throughput workloads for web applications.

Technology leaders often face a tempting proposition from their engineering teams: “We could build this ourselves.” It’s a natural instinct, especially when discussing incident management systems. Your team’s confidence isn’t misplaced – they absolutely could build a basic alerting system. However, the question isn’t about capability; it’s about strategic resource allocation and long-term operational excellence.

Azure environments are growing fast, and so are the challenges of monitoring them at scale. In this blog, part of our Azure Monitoring series, we look at how real ITOps and CloudOps teams are moving beyond Azure Monitor to achieve hybrid visibility, faster troubleshooting, and better business outcomes. These real-life customer stories show what’s possible when observability becomes operational. Want the full picture? Explore the rest of the series.