How to Mock APIs in Kubernetes
In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.
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AI realism (part two)
Emotions are running high about AI technologies. In this 2-parter, I do my best to make a rational case for the state of AI, and how we can respond to it. This is the second part; catch up with part one here. Today, we’ll talk about developing a company culture that thrives on experimentation and unpredictability. I’ll describe the conditions that can keep a product company nimble and healthy during a period of rapid change, enabling it to take advantage of emerging technologies.
Monitor Complex User Flows With Checkly's Multistep Checks
With an ever-growing market of digital products, it is becoming increasingly important for every business to ensure a high level of customer satisfaction. In the past, companies might have been able to get away with slow or messy websites. Today, if a customer gets frustrated even once, they will likely abandon your product in search of a better replacement.
How AI is a Shift Right for IT, Robert Grazioli, CIO, Ivanti
Find out how AI can help IT reduce burnout and power better Everywhere Work in Ivanti’s latest report: ivanti.com/research. Without data, you are not going to have AI. But the key here is to have a data architecture that will enable AI, says Ivanti CIO Robert Grazioli. Citing Ivanti’s research report, Everywhere Work Report 2024, he covers why remote and hybrid work has increased the burden and responsibility on today’s IT teams, and why AI is seen by many as a solution to lessen IT stress and put the power back in the hands of the end user.
Monitor Complex User Flows with Checkly's Multistep Checks
Learn how Checkly's new multistep checks help you to decrease incident response times with synthetic monitoring. Use multistep checks to chain and manage multiple API requests, run custom code for response validation, and get accurate alerts when incidents occur. This video explains how to create a multistep check to monitor a RESTful API from scratch. Do you have questions? Join our vibrant Checkly community on Slack and explore further!
The next buzz in the city of bees: digital infrastructure, AI, and Manchester
Manchester has come a long way - from pioneering the world’s first stored program digital computer, to becoming the top tech city in the UK outside of London. The MCC 2021-2026 Digital Strategy now guides a £5bn digital economy, with more than 10,000 businesses employing over 96,000 people. It has seen the development of five unicorns and is still home to three, billion-pound businesses. So, the city of bees is buzzing.
How Do ITSM Systems with AI Based Collaboration Workspaces Enhance Productivity and Foster Customer Success?
With the increased demand for the digitalization and automation of business operations over the past few years, IT Service Management (ITSM) has undergone significant transformation. For IT service departments, the accelerated pace of digital transformation has brought new challenges, such as an increased dependency on IT solutions, legal and regulatory compliance, and growing IT complexity.
Honeycomb + Google Gemini
Today at Google Next, Charity Majors demonstrated how to use Honeycomb to find unexpected problems in our generative AI integration. Software components that integrate with AI products like Google’s Gemini are powerful in their ability to surprise us. Nondeterministic behavior means there is no such thing as “fully tested.” Never has there been more of a need for testing in production!
Stay up to date on the latest incidents with Bits AI
Since the release of ChatGPT, there’s been growing excitement about the potential of generative AI—a class of artificial intelligence trained on pre-existing datasets to generate text, images, videos, and other media—to transform global businesses. Last year, we released our own generative AI-powered DevOps copilot called Bits AI in private beta. Bits AI provides a conversational UI to explore observability data using natural language.
Create Location-based Policies with MDM Geofencing
MDM geofencing is a security mechanism that empowers IT administrators to ensure corporate-owned devices are restricted to configured geographic areas. You can create digital location-based fences, set up device compliance rules and trigger corresponding actions when the rule are violated.