
3 Steps to Secure Your CI/CD Pipelines
Palo Alto Networks’ Daniel Krivelevich shares a general three-step framework organizations can use to secure the CI/CD pipeline and surrounding areas.

Digma Leverages ML to Bring Observability Insights to IDEs
Digma’s eponymous platform provides developers with continuous feedback from observability data directly within their IDEs.

SolarWinds Adds Service Management Platform to Portfolio
SolarWinds has added a service management capability to its portfolio as part of an effort to make it simpler for IT teams to align support services with specific functions. At the same time, SolarWinds has updated its SQL Sentry observability tool for databases and DataOps workflows to add query-level wait statistics along with a revamped […]

Tray.io Automation Framework Leverages AI to Build Integrations
Tray.io’s Universal Automation Cloud service leverages an existing Merlin AI engine to identify the most efficient way to automate a workflow.

Why Data Silos Are Killing Your Developer Productivity
Data silos are draining developers’ productivity. Here’s how to break away from these silos with better observability.


Five Great DevOps Job Opportunities
Looking for a great new DevOps job? Check out these available opportunities at Fidelity Investments, Caterpillar and more!

There’s No Value in Observability Bloat. Let’s Focus on the Essentials
Most companies only need the essential ingredients to satisfy their observability strategy, which means costs will be much more modest.

Observability Leaders: The Mighty Minority Holding Their Own Against Outages
A robust observability strategy can preemptively detect anomalies and potential issues—before they become full-blown outages.

Cisco Acquires Splunk to Create Observability Powerhouse
Cisco today revealed it has signed a definitive agreement to acquire Splunk for $28 billion in cash.

Nobl9 Unfurls Reliability Center for Managing SLOs
Nobl9 launched a next-generation platform for managing SLOs in a way that promises to improve overall reliability.

Harness Launches Open Source Gitness Platform
Harness’ Gitness platform is significantly lighter weight than the platforms DevOps teams traditionally rely on to build applications.

Innersourcing Open Source Principles in the Enterprise
Open source cultural principles are now permeating the enterprise – a movement known as innersource. Here’s why.

Survey Surfaces Major Observability Challenges
A survey found the biggest obstacles to observability were the pace of technology change, IT blind spots and the complexity of modern applications.

Generative AI: The 90% Rule
Don MacVittie explains his vision of generative AI – the 90% rule – and how it will help developers.

Oracle Previews Latest Java 21 Innovations
Oracle made generally available a Java 21 edition and provided early access to more than 15 proposed enhancements to the JDK.

Buildkite Acquires Packagecloud to Streamline DevOps Workflows
Buildkite acquired Packagecloud to tightly integrate package management tools with its CI/CD platform.

What DevOps Teams Should Know About Phishing and the Supply Chain
DevOps engineers are prime targets for phishing as cybercriminals look to infiltrate and disrupt the software supply chain.

JFrog swampUP: Addressing the Advent of AI
Techstrong Group’s Alan Shimel and Will Willis talked with JFrog’s Stephen Chin about the impact of generative AI on software development.

Daytona Unfurls Developer Environment for On-Premises IT
Daytona has launched a development environment for on-premises IT environments that provides all the benefits of a cloud-based alternative.

DevOps Dozen² Awards 2023 Nominations Now Open
Nominations for the 2023 DevOps Dozen awards are now open!

Splunk: Creating a Resilient and Dynamic Organization
Mitch Ashley talks with Ryan Kovar, distinguished tech security technologist and leader of SURGe with Splunk, and Cory Minton, field CTO for The Americas with Splunk, about building a dynamic and resilient organization.

Should You Measure Developer Productivity?
Bill Doerrfeld explores whether you can actually measure developer productivity and, more importantly, if you should.
