Instana Releases Always-On Continuous Production Profiling for PHP and Python Applications
October 22, 2020
Share this

Instana announced the availability of always-on profiling for production PHP and Python applications.

With the addition of this production profiling support, Instana now provides automatic continuous production profiling of Java, GoLang, Python and PHP with a common interface and correlated with production application monitoring and tracing for better analysis.

This latest language support builds on Instana’s integration of technology acquired from the company’s acquisition of StackImpact last year. It marks the third release of integrated product from the two solutions in 2020. Instana APM customers get unlimited use of production profiling, with no additional charges. Enabling the capabilities simply requires a change to the Instana configuration file. No application re-starts are required to turn profiling on or off.

“The complexity of cloud-native microservice applications is related to the polyglot of application languages being used,” said Chris Farrell, APM and Observability Strategist at Instana. “Instana automatically captures profiles of Python and PHP processes so that dev teams have the data they need to optimize application performance and solve code issues quickly.”

Instana’s production profiling solution differs from other profiling tools in that it is always on, designed and built with such low overhead that it always captures profiles on every production process. Those profiles are correlated with other Instana metrics, including application service levels, traces of all individual requests and full-stack infrastructure metrics. The company’s Unbounded Analytics™ engine allows users to dive into any layer to quickly identify, isolate and fix problems when they occur.

Instana’s Enterprise Observability Platform, powered by automated Application Performance Monitoring, discovers and maps all services, infrastructure and their inter-dependencies automatically. Instana ingests all observability metrics, traces each request, profiles every process and updates application dependency maps in real time to deliver the context and actionable feedback needed by Dev+Ops to optimize application performance, enable innovation and mitigate risk to help them add value and efficiency to the pipeline.

Instana’s continuous profiling for PHP and Python, Java and Go is available today in all Instana solutions, included in both the SaaS and on-prem versions.

Share this

The Latest

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...

November 05, 2024

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...

November 04, 2024

Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...

November 01, 2024

Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...

October 31, 2024

Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...

October 30, 2024

On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...

October 29, 2024

Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...

October 28, 2024

Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...