Application Performance Management/Monitoring
Visualize Logs to Get More Value from Data
Tsai Chi Huang | | application monitoring, application performance management, IT metrics, logs, system managementWhy do you keep logs? Regardless of the type of logs we're talking about, you keep them because you expect them to provide some value for the organization. Maybe the logs will ...
Using ML/AI to Support Infrastructure Monitoring
Andrew Maguire | | AI/ML, data analytics, error reporting, infrastructure monitoring, machine learning artificial intelligenceSuccessful infrastructure monitoring enables IT teams to ensure constant uptime and performance of their company's systems. Technologies like machine learning (ML) and artificial intelligence (AI) benefit infrastructure monitoring by more quickly collecting ...
Bringing Continuous Testing Into the Software Delivery Pipeline
For any highly competitive industry that relies on a smooth and stable user experience, it is vital that their development teams accelerate release cycles, lower operating costs and ultimately reduce risks. Continuous ...
Best Practices for AWS Tagging With Yor
On the surface, AWS resource tags are simple, informational key:value metadata that you can assign to most AWS resources. They also have many hidden benefits, as outlined in this AWS Tagging Best ...
JFrog Acquires Vdoo to Advance DevSecOps
Mike Vizard | | application development, binaries, DAST, devsecops, jfrog, SAST, secure software development, VdooJFrog today announced it has agreed to acquire Vdoo for $300 million in cash to gain a set of analytics tools that discover vulnerabilities in application binaries. Vdoo's scanning tools, infused with ...
Dynatrace Applies AI to Surface App Vulnerabilities
Dynatrace has enhanced the security module to its observability platform that leverages its Davis artificial intelligence (AI) engine to automatically identify the software libraries and open source packages that represent the greatest ...
What Chaos Engineering Is (and Isn’t)
The birth of chaos engineering happened somewhat accidentally in 2008 when Netflix moved from the data center to the cloud. The move didn’t go as planned. The thinking at the time was ...
SREs Say AIOps Doesn’t Live Up to the Hype
What can you expect when investing in artificial intelligence for IT operations (AIOps)? Real-time visibility across huge volumes of information. Lightning-fast event correlation and anomaly detection. Automated remediation and self-healing, without Ops ...
Plutora Dives Deeper into Value Stream Analytics Data
Plutora announced today it has extended the capabilities of its value stream management (VSM) platform to include a common object data model that more efficiently normalizes data collected from multiple DevOps tools ...
Google Proposes SLSA Framework to Secure Software Supply Chains
Google is proposing organizations adopt a framework for securing the integrity of software artifacts across a software supply chain. Kim Lewandowski, a product manager for open source software security at Google, said ...
Code Ownership Is Key to Accelerate Debugging
App stability is a fundamental part of every app experience. Broadly speaking, app stability is a measurement of the number of total app sessions that are crash-free or the percentage of daily ...
PagerDuty Allies with JFrog to Modernize IT Incident Management
PagerDuty has integrated its IT incident management platform with the continuous integration/continuous delivery (CI/CD) platform from JFrog as part of an effort to streamline troubleshooting of application environments. Steve Gross, senior director ...
