Tag: observability
Survey: Java Developers Wrestling With Massive Amounts of Technical Debt
Mike Vizard | | AI coding tools, AI functionality, artificial intelligence, cloud computing costs, Common Vulnerability and Exposure (CVE), cost-driven migration, dead code, developer productivity, Java applications, Java developers, Java versions, Java Virtual Machine (JVM), language model integration., large data access, long-term support, migration to OpenJDK, observability, OpenJDK, Oracle pricing concerns, security features, technical debt, vulnerabilitiesA global survey of 2,039 Java developers published today finds 63% reporting that dead and unused code adversely affects their team’s productivity, with 22% describing the impact of that technical debt as ...
The 10-Layer Monitoring Framework That Saved Our Clients From 3 a.m. Pages
Amjad Syed | | alerting philosophy, apm, application performance, cache metrics, database monitoring, Distributed Tracing, external dependency monitoring, Incident Prevention, infrastructure monitoring, Kubernetes monitoring, log pattern detection, , monitoring framework, observability, OpenTelemetry, production monitoring, real user monitoring, SSL certificate monitoring, synthetic monitoringA practical 10-layer monitoring framework for Kubernetes and VM environments that prioritizes what to watch—system, application, HTTP/RUM, databases, caches, queues, tracing, SSL, external deps, and log patterns—to prevent outages and reduce noisy ...
Please Grow Up, Coder Launches AI Maturity Self-Assessment Tool
Adrian Bridgwater | | ai, application development, automation, developers, observability, security, software developmentCoder introduces an AI maturity self-assessment service to help organizations evaluate their AI adoption in software development. As teams transition from ad hoc usage to structured workflows, this tool addresses the need ...
Resilient Middleware at Scale: Using YAML and Ansible to Harden Apache, WebLogic and Tomcat
Pramod Muppala | | automation, change management, Configuration as Code, middleware stability, observability, progressive delivery, resilient middlewareTransform your middleware into a resilient powerhouse with automation, consistent configuration, and progressive delivery. Discover how to reduce downtime and increase stability across Apache, Tomcat, WLS, and more ...
DevOps Didn’t Fail — We Just Finally Gave it the Tools it Deserved
Alan Shimel | | AI in DevOps, Cultural Change, devops evolution, DevOps Success, feedback loops, observability, software reliability, tech industry debateCharity Majors delivers a wake-up jab to DevOps, sparking debate on its evolution and success. Is it a failure or just getting interesting? Alan dives into the discussion ...
Part 1: Death of the Toil: How AI Agents Are Replacing Traditional Runbooks
Muhammad Yawar Malik | | AI agents, AI in SRE, automation, Autonomous Systems, Cost Justification, engineering efficiency, human-in-the-loop, incident management, Incident Prevention, LLM, observability, Operational Toil, Predictive Systems, Reasoning Systems, Runbooks, Safe Action Execution, SREPart one of a three-part series: Discover how AI-driven reasoning agents are revolutionizing SRE practices by eliminating traditional toil and enhancing incident management ...
Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering
Parthiban Rajasekaran | | agile development, AI-assisted development, Change Failure Rate, Code Review Practices, continuous improvement, Delivery Systems, DevOps practices, engineering teams, Fast Delivery, governance, incident management, kubernetes, mean time to restore, observability, Resilient Systems, Risk-Based Tiering, software quality, technical debtDiscover strategies for managing AI-generated technical debt and maintaining quality in software delivery as engineering teams accelerate their development processes ...
Snowflake Plans $1B Acquisition of Observe to Expand AI-Powered Observability
Snowflake has signed an agreement to acquire observability startup Observe, moving to fold AI-driven telemetry analysis directly into its AI Data Cloud as enterprises grapple with the operational complexity created by large-scale ...
Importance of Observability in the DevSecOps Pipeline: Enhancing Security, Compliance, and Collaboration
In today's rapidly developing software world, security cannot be an afterthought. DevSecOps, the integration of security practices into every phase of DevOps, requires continuous monitoring and actionable insights to detect and mitigate ...
Designing Privacy-Safe Logging at Scale: Lessons from Building Compliance-Aware Observability Systems
As regulatory scrutiny increases and distributed systems grow more complex, many organizations have accepted that privacy-safe logging is important. Fewer have figured out how to actually build it without sacrificing observability, developer ...
Survey Sees Growing Interest in Switching Observability Platforms
A survey of 100 VP+ IT decision-makers published today finds 62% plan to increase spending on observability initiatives over the next 12 to 24 months, with only 4% planning to decrease spending ...
Observability, SRE and Uptime in Telehealth Platforms: A DevOps Playbook
Michael Chukwube | | cloud infrastructure, devops, incident management, observability, Patient Data Security, resilience engineering, site reliability engineering, TelehealthVirtual care went from nice to have to must have during the COVID-19 pandemic and while in-person visits are starting to pick up again, telemedicine is here to stay. Its growth will ...
