As you may know, StatusGator has two monitor types at present: Cloud service monitors and website monitors. Our website monitor feature allows a myriad of sophisticated configuration options including interval config, HTTP methods, and content or status checks. We’ve just launched some important improvements to our API for those of you using website monitors. Our Service show endpoint will now include configuration details for those monitors that are website monitors under a new key called config.

API requests are an essential part of modern software development, allowing applications to communicate and exchange data with each other. In this article, we'll explore what API requests are, how they work, and the various components that make up a successful API call.

Starting today, Checkly users can send their traces from synthetics checks to Coralogix to view in-depth synthetic user data along with back-end APM based tracing. This gives SRE’s and Operations engineers a new insight into how the system is responding to automated synthetic tests of your service. For Checkly users, integrating with Coralogix data means it’s easy to correlate end-to-end user experience with backend performance, and track poor performance to its root cause.

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.

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.

In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.

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.

In today’s fast-paced IT ecosystem, agility and efficiency are not just goals but necessities. So why waste an hour (or more) manually onboarding individual devices when you can leverage the LogicMonitor API to automate the onboarding process for an entire site in just minutes from a simple CSV file? In this article, we’re going to review how LogicMonitor administrators can maximize efficiency and transform their IT operations using LogicMonitor’s REST API and Powershell.

Regression testing is not a new concept. However, historically, it has been limited to functional testing due to the setup, configuration, and maintenance required to simulate a production environment accurately. Many teams have found the cost outweighs the benefits, but with the advent of production traffic replication (PTR), it’s become a viable option to regression test performance, especially for those running applications in Kubernetes.