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Top tips: Wearable tech etiquette in the workplace

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re exploring wearable tech etiquette at the workplace. Prioritizing face-to-face human connection is practically nonexistent at this point, making it difficult to nurture collaborative environments. Picture yourself entering a public setting like a restaurant, a busy train, or your workplace. What do you see?

Alberto Gomez joins as CPO of Checkly and Tim Nolet will become Chief Evangelist

Today, I’m thrilled to announce two changes to our leadership team. We at Checkly aim to deliver the best synthetic monitoring platform that allows you to identify and resolve issues 10x faster. I’m proud to have crossed that 1,000-customer mark and aim to enhance your experience even further as we are just getting started and are excited about what technologies like Open Telemetry, Clickhouse and others will enable us to do in the future.

And What About my User Experience?

Monitoring backend signals has been standard practice for years, and tech companies have been alerting their SRE and software engineers when API endpoints are failing. But when you’re alerted about a backend issue, it’s often your end users who are directly affected. Shouldn’t we observe and alert on this user experience issues early on? As frontend monitoring is a newer practice, companies often struggle to identify signals that can help them pinpoint user frustrations or performance problems.

The role of secure data storage in fueling AI innovation

Artificial intelligence is the most exciting technology revolution of recent years. Nvidia, Intel, AMD and others continue to produce faster and faster GPU’s enabling larger models, and higher throughput in decision making processes. Outside of the immediate AI-hype, one area still remains somewhat overlooked: AI needs data (find out more here).

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.

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.