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NLP vs. LLMs: Understanding the differences

As AI continues to grow and solve problems across countless industries, a key part of that tech is the ability to seamlessly bridge the gap between human language and machine understanding. This is where natural language processing (NLP) and large language models (LLMs) come in. They provide distinct and specialized approaches for connecting the power of human communication with software and machines. Or in simpler terms, NLP and LLMs enable us to have human-like conversations with software.

ChatGPT & the Enterprise: Balancing Caution and Innovation in the Age of AI

OpenAI's groundbreaking AI tool ChatGPT was officially launched on November 30th, 2022. However, it wasn't until the early months of 2023 that its impact truly began to ripple through the global consciousness. This transition from a novel technological release to a sensation that captivated the world was both rapid and remarkable. The metrics speak volumes: According to Similarweb, ChatGPT garnered around 266 million visits in December 2022.

Elastic Universal Profiling agent, a continuous profiling solution, is now open source

Elastic Universal Profiling™ agent is now open source! The industry’s most advanced fleetwide continuous profiling solution empowers users to identify performance bottlenecks, reduce cloud spend, and minimize their carbon footprint. This post explores the history of the agent, its move to open source, and its future integration with OpenTelemetry.

Embracing the AI Revolution: A Leader's Perspective on the Future of Business

"In a world where change is the only constant, the rapid advancement of Artificial Intelligence (AI) is a formidable force that is redefining life and commerce. As we witness firsthand the seismic shifts occurring in the business world due to the advent of AI, the landscape is changing rapidly, and with it, the rules of engagement for companies across the globe.

How AI Phone Support Can Solve Common Dining Reservation Challenges

One can envision entering a realm where reserving a table at their preferred restaurant is as simple and expedient as placing a phone call, irrespective of the hour or day. This has become a tangible reality due to the technological advancements that have transformed culinary experiences. Conventional reservation systems, characterized by their congested timetables and restricted operational periods, have historically caused discontent among both patrons and dining establishments. Introduced is an innovative solution known as AI phone support for restaurant.

How to Fight Alert Fatigue with Synthetic Monitoring: 7 Best Practices

It’s 1am, and something has gone very wrong. The head of sales is in the incident response channel because our top customer is reporting a system-wide outage. Everyone’s running around trying to figure it out. As you look at service maps and traces, you get a sinking feeling. Earlier the previous evening, you got an alert that user-access-service was running out of memory.

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.