Unlocking the full potential of monitoring through ML integration, anomaly detection, and innovative scoring engines. Machine Learning has been making waves in various industries, but its adoption in the monitoring and observability space has been slower than expected. Many “ML” features remain gimmicky and do not provide actual real world value to users that encourages their further use.

The use of statistics, advanced algorithms and AI/Ml is becoming omnipresent. The benefits are visible in every walk of life, from web searches, to movie and retail recommendations, to auto-completing our emails. Of course, not many anticipated the dramatic entrance of generative AI in the form of ChatGPT for writing college essays and poetry on arcane topics.

A web application or an API breaking is a matter of when, not if. Whether the cause is buggy code making it to production or infrastructure failing to support the software built upon it, incidents of varying severity are the norm rather than the exception, appearing frequently enough that the industry has coined the terms Mean Time To Detect (MTTD) and Mean Time To Recovery (MTTR).

OpenAI is an AI research and development company whose products include the GPT family of large language models. Since the introduction of GPT-3 in 2020, these models’ fluent and adaptable processing of both natural language and code has propelled their rapid adoption across diverse fields. GPT-4, ChatGPT, and InstructGPT are now used extensively in software development, content creation, and more.

We are thrilled to unveil our new branding and website, reflecting our commitment to providing engineers with the best monitoring as code (MaC) platform for modern software stacks. Our rebranding efforts signify a new era for Checkly and highlight our commitment to continuous innovation and dedication to enabling a MaC workflow for you and your teams.

Third-party APIs and cloud based software as a service (SaaS) tools have become a cornerstone of modern enterprises. It is essential to monitor log data and optimize API performance. This will ensure that development teams provide the desired advantages to clients and users. To address this challenge, businesses can use an observability pipeline. It is a set of tools and processes that monitor and analyze data from various sources. That includes third-party APIs and SaaS tools.