We’re excited to share new Splunk capabilities to help measure how code performance impacts your services. Splunk APM’s AlwaysOn Profiling now supports.NET and Node.js applications for CPU profiling, and Java applications for memory profiling. AlwaysOn Profiling gives app developers and service owners code level visibility into resource bottlenecks by continuously profiling service performance, at minimal overhead.
In 2019, Polar Signals Founder and CEO Frederic Branczyk predicted that continuous profiling would be the future of observability. Today, he’s making that future a reality with his open source continuous profiling tool, Parca. In this episode of “Grafana’s Big Tent” podcast, our hosts Matt Toback and Tom Wilkie chatted with Frederic about how he got his start in the continuous profiling world and how he’s built an active open source community around Parca.
We’ve all grown used to logs, metrics and traces serving as the “three pillars of observability.” And indeed they are very important telemetry signals. But are they indeed the sum of the observability game? Not at all. In fact, one of the key trends in observability is moving beyond the ‘three pillars: One emerging telemetry type shows a particularly interesting potential for observability: Continuous Profiling.
Like all of us today, I’m buying more and more products and services online. But even the slightest hiccup in my digital experience might cause me to switch vendors. Multiply that risk by millions – the result of digital commerce growing at an exponential rate – and it’s easy to see how bad user experiences could literally sink a company.
The following guest post addresses how to improve your services’s performance with Sentry and other application profilers for Python. Visit Specto.dev to learn more about application profiling and Sentry’s upcoming mobile application profiling offering. We’re making intentional investments in performance monitoring to make sure we give you all the context to help you solve what’s urgent faster.
Ruby is an object-oriented programming language celebrated for its simple and easy-to-read syntax. It powers Ruby on Rails, the open source web development framework that streamlines common development tasks involved in building web applications. We’re pleased to announce that our Continuous Profiler, which provides low-overhead, code-level performance insights, is now generally available for Ruby applications.
For application developers and service owners who build and troubleshoot modern enterprise software, resolving production issues requires identifying poor performance across multiple networks, operating systems, servers, configs, and third party dependencies. When the problem is the code itself, code profiling helps identify service bottlenecks by periodically taking CPU snapshots, or call stacks, from a runtime environment.
