Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

The Advent of Monitoring, Day 8: How to Monitor All the Nines of Your Service-Level Agreements

If you have large(r) customers, there is a point where they ask you for service-level agreements, or short SLAs. These are customer contracts defining different aspects of your service and what you guarantee for them. One common agreement is around availability, or, colloquially speaking, uptime. Your contract might state, and I am not a lawyer, that you guarantee that your service (or core parts of it) is available 99.99% of the time of a given period, mostly per month, quarter, or year.

AI-Driven DevOps: How Artificial Intelligence is Reshaping Software Delivery

DevOps (development and operation) has dramatically changed processes of management in tech companies. This method or, as they say, religion, introduced new philosophy into development and operations. Earlier, when only the waterfall method was used, all deployments were really painful: if something went wrong you had to look for the reason on every stage, in every team. Every change in development had an impact on operations and vice versa. After the introduction of DevOps method the interaction between development and operations prevented a lot of mistakes and made deployment much easier.

The Year of AI: Reflections and Predictions for 2024

Who could have predicted that 2023 would see such a huge leap forward in Artificial Intelligence (AI)? That this was going to be the year industries decided that, this is the decade, we would solve AI. From the earliest research as far back as the 1940s, we’ve all been holding our breath, wondering when AI will live up to the expectations painted by science fiction writers and futurists. With the arrival of ChatGPT from OpenAI, we’ve been catapulted into the next generation.

LLM Monitoring and Observability

Large Language Models (LLMs) are advanced artificial intelligence models designed to comprehend and generate human-like language. With millions or even billions of [parameters, these models, like GPT-3, excel in natural language processing, understanding context, and generating coherent and contextually relevant text across various applications.

Managing Issues and Improving Products After Launch

It’s easy to forget in the run-up to launching your next product that development doesn’t (and shouldn’t) stop after devices go into production. Anticipating and addressing issues after launch is crucial to maintaining a product’s quality, reliability, functionality, and customer satisfaction. This means engineers must be able to quickly respond to unexpected issues, improve the product based on real-world feedback, and set the customer service team up for success.

The Advent of Monitoring, Day 7: A Peek Into Our Job Monitoring Strategy With Heartbeat Checks

Table of contents This is the seventh part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. At Checkly, we manage various scheduled jobs, some of which play a crucial role in our application's functionality, and others exist to support different teams within Checkly.

How AI-Powered Helpdesks Are Changing Customer Support

Customer support is an integral part of any business, and providing top-notch service can make or break your reputation. In today’s fast-paced digital landscape, customers demand quicker and more efficient solutions to their problems. This is where Generative AI-assisted helpdesks come into play, revolutionizing customer support as we know it. In this blog, we’ll explore the importance of transforming customer support and the myriad benefits of implementing Generative AI in this context.