Flexible Pricing That Scales with Your Team

Sidekick currently supports Java (JVM-based languages), Python, and Node.JS languages.Sidekick is platform-agnostic. It supports AWS, Azure, GCP, OpenShift, Kubernetes, Docker, and more.

Yes! Sidekick supports IntelliJ IDEA, and VSCode IDE's for now apart from its web IDE. Please let us know which IDE's you'd like Sidekick to support.

Paid subscriptions require a Visa, Mastercard, Amex, Discover or a Paypal account. We only accept online payments. All payments are non-refundable.

Yes! With Sidekick, not only does your data stay with you but you can also deploy Sidekick's app on your premises. You can install Sidekick on your own cloud account, your data center, or even on your laptop so that nothing gets transferred out of your control.

Talking about Sidekick’s SaaS version, your code is only loaded to your browser to provide a friendly experience. It will never reach our servers. And, to protect your data, we offer extensive data redaction and encryption capabilities. We are able to offer additional security measures according to whatever guidelines your security architect will need.

Sidekick is natively integrated with Thundra APM to let you get a full context and visualization of your debug session with automated distributed tracing. You can easily get to the error root cause visually by seeing the impact of transactions between your application and third-party services. Thundra APM native integration is OpenTracing and OpenTelemetry compatible.Additionally, Slack, and incident management integrations are on our roadmap.Sign up for Sidekick and be the first to know when we add more integrations.

Sidekick combines tracepoints (aka non-breaking breakpoints) with distributed tracing. This way; DevOps, SRE, QA, test, software engineers & managers can discover the issue's root causes effortlessly!

APM tools are great but not enough for some cases. Finding the relevant data in these systems quickly in case of an incident is often not feasible. Sidekick enables developers to debug directly from an IDE, using conditional tracepoints to work just with the data they need to debug the problem at hand.

Logging is always valid and integral. The problem with logging is that a huge amount of data often welcomes you when you try to look for something specific. Also in distributed systems, you need to look for many log piles to find what you are looking for and then reproduce the issue in your local machine for validation. Sidekick provides dynamic on-demand logging which makes it super handy to turn on or off the logs whenever you need it.