Application Performance Management/Monitoring
Nobl9 Adds Hydrogen Platform to Surface Technical Debt Issues
Nobl9 today unveiled a Hydrogen platform that makes it simpler for DevOps teams to identify technical debt issues as they manage service level objectives (SLOs) as code. Hydrogen enables DevOps teams to ...
Prioritizing Scalability, Reliability and Security in Engineering
Cristina Buenahora Bustamante | | delivery pipeline, engineering, incident response, secure software development, SREAs digital products and services are more deeply embedded in critical industries and infrastructure and the implications of problems grow in scope, engineering organizations are renewing their focus on building platforms that ...
Data Theorem Adds Runtime Protection Enabled by Observability
Data Theorem, Inc. this week added an Active Protection offering to its portfolio of application security services that makes it possible for DevOps teams to embed observability and runtime defenses in their ...
Observability Matters. But Are You Observing the Right Things?
Nik Koutsoukos | | application management and monitoring, application performance monitoring, observability, telemetryIt’s like clockwork. Every few months, a new buzzword descends on the tech industry, and soon it’s on everyone’s lips. Take your pick from the graveyard of buzzwords past: “Big data,” “internet ...
Allstacks Adds Free Dashboard to Track Software Dev Benchmarks
Value stream intelligence platform provider Allstacks today added a free live dashboard populated with anonymized data that DevOps teams can use to benchmark their own progress. Hersh Tapadia, Allstacks co-founder and CEO, ...
Grafana Labs Expands into Incident Management Realm
During its online ObservabilityCON 2021 conference, Grafana Labs this week previewed an incident management platform in addition to making available an on-premises edition of its distributed tracing tool. Tom Wilkie, vice president ...
Driving Software Delivery Automation With AI/ML
What if we could use an artificial intelligence (AI) engine to predict the next lines of software code to build? What if machine learning (ML) could trigger the creation of automated test ...
Oxeye Platform Helps Fix Code Vulnerabilities
Fresh from raising $5.3 million in seed funding, Oxeye emerged this week from stealth to launch a namesake application security testing platform that, in addition to pinpointing issues in code, also provides ...
Newly Independent VMware to Focus on Multi-Cloud
As an independent company once again, VMware will focus its efforts on providing management planes that span multiple cloud computing environments after officially spinning out of Dell Technologies. Ray O’Farrell, executive vice ...
How AI is Changing DevOps for the Better
Chandra Shekhar | | ai, algorithms, artificial intellegence, data analysis, devsecops, machine learningManaging a DevOps environment involves a high degree of complexity. The rapid proliferation of data has made it difficult for DevOps teams to effectively onboard, ingest and unlock data and implement information ...
GraphQL’s Greatest Strength is Also its Greatest Weakness
Michael Scott: Why don't I tell you what my greatest weaknesses are? I work too hard, I care too much and sometimes I can be too invested in my job. David Wallace: ...
Choosing the Right Software Testing Metrics
A software testing metric is a criterion to track the effectiveness of quality assurance efforts. First, you establish success indicators throughout the planning stage. Then, compare them with the received metric after ...
