Application Performance Management/Monitoring

A dolphin dances above the surface of the sea, with the caption, “So long, and thanks for all the fish.”

Microsoft kills Python 3.7 ¦ … and VBScript ¦ Exascaling ARM on Jupiter

Richi Jennings | October 11, 2023 | ARM, ARM processors, Exascale, microsoft, Microsoft Visual Studio, Microsoft Windows, NVIDIA, Python, scripting, supercomputer, The Long View, VBScript, visual studio, Visual Studio Code, VS Code, windows

In this week’s #TheLongView: VS Code drops support for Python 3.7, Windows drops VBScript, and Europe plans the fastest ARM supercomputer ...

Using DORA Metrics to Measure DevOps Success

Adam Frank | October 10, 2023 | devops, DORA, measurement, metrics, Productivity

DORA metrics enable developers to understand their process’ weak points and identify areas for improvement internally ...

open-source, users, experience, DevEx, business, technical, leadership, teams, devops, small, team, product, devops,DevEx, CI/CD pipelines, developer, experience, Backstage, developer, GitHub productivity Roadie DevX developer experience DPE open source team lead Agile hybrid developer GitLab DevRel developer GitHub BDD CircleCI Rust developer

How to Get Developer Productivity Engineering Right

Bill Doerrfeld | October 10, 2023 | developer productivity, developers, devops culture, DPE, gradle

Executives want a clear measurement of developer productivity, but determining it is proving elusive ...

finops, cost, finance, finops, cloud, cost, cloud costs, AWS, engineering, AWS multi-cloud challenges, multi-cloud, costs, CloudBolt FinOps Grafana observability Vega Cloud cost multi-cloud FinOps governance cost-efficient Multi-Cloud Cost Optimization

Survey Sees Observability Costs Spiraling Out of Control

Mike Vizard | October 9, 2023 | costs, Edge Delta, logs, metrics, monitoring, observability

While organizations are investing in observability to increase overall resiliency, the cost of that investment is higher than anticipated ...

Jamf, Korea, code, hybrid, ai-powered, observability, insights, DevSecOps Cisco Chronosphere observability, data collection, Observe Google Splunk ServiceNow Logz.io observability Web3 developers CodeSee Survey Surfaces Slow But Steady DevSecOps Progress

Observe Inc. Brings Generative AI to Observability

Mike Vizard | October 5, 2023 | generative AI, logs, metrics, observability, Observe, SRE, traces

Observe, Inc. revamped the Hubble user interface to its observability platform infused with generative AI ...

Moving Beyond Legacy API Management Tools and Strategies

Rory Blundell | October 5, 2023 | API, API management, application development, devops, legacy apps

Forward-thinking organizations should be looking for ways to overhaul their API management tools and strategies ...

mobile apps, Tricentis mobile apps toil software mobile app stability bug

Tricentis Launches Mobile Application Testing Grid

Mike Vizard | October 4, 2023 | application testing, Automated testing, mobile app, mobile app testing, software development, tricentis

Tricentis added a Virtual Mobile Grid service to its portfolio to make it simpler to test mobile applications at scale ...

ForAllSecure Streamlines Application Security Testing

Mike Vizard | October 4, 2023 | app testing, application security testing, ForAllSecure, mayhem, SBoM, SCA

ForAllSecure provided early access to dynamic SBOM generation and SCA validation capabilities within its Mayhem Security automated code and API testing tool ...

LinearB Splunk GitLab LogDNA observability metrics Splunk Adds Remote Workforce Metrics Dashboard

LinearB to Provide Free DORA Metrics Dashboard

Mike Vizard | October 4, 2023 | automation, dora metrics, LinearB, metrics, software engineering

LinearB's free dashboard allows users to visualize DORA metrics from within the company’s software delivery management platform ...

Why AIOps is Critical for Networks

Yes

Mitch Ashley | October 3, 2023 | AI/ML, AIOps, infrastructure, networking, telco, Vitria

Vitria Technology's Andrew Colby discusses why AIOps, artificial intelligence and machine learning (AI/ML) are key capabilities for organizations to continue providing the level of performance and reliability customers expect ...