OverOps is a software reliability platform that applies machine learning to your code as its running to automatically identify anomalies such as newly introduced issues, error regressions and slowdowns and to provide their root cause to the right person.
When an anomalous failure occurs, a complete picture of the code is provided, including:
- Execution stack, source code and complete variable state
- Previous 250 log statements (including DEBUG- and INFO-level, even in production)
- Frequency and failure rate for ALL known and unknown errors and exceptions
- Classification of new versus reintroduced errors
- Which release or build is associated with each specific event
- & more event analytics
The data collected is unique to the OverOps platform but can easily be leveraged by other tools like Splunk, AppD and Grafana for monitoring, alerting and visualization purposes. Not only does access to this information greatly reduce resolution time for issues in all environments including production, it provides deep visibility into the overall quality of new deployments and of the application as a whole.
As more organizations aim to innovate faster and deliver a seamless digital experience for their customers, OverOps helps avoid costly downtime with minimal performance impact and no need to modify code.
A new report examining the JVM Ecosystem was recently published by Snyk with contribution by Oracle’s Java Magazine. They surveyed 10,000+ Java developers from the community (namely, members of Java User Groups and Java Magazine subscribers). The topics covered in the report include: Language and JDK, Tools, Application Infrastructure and CI/CD and other processes.
Halloween is here, and there’s nothing we like to do more than buy loads of candies, dress up and try to spook our friends. While each one of us have a different spook tolerance level, there are some we can all agree that are scary.
Today, there is little dispute that software is indeed eating the world. Every part of our life includes software, from the way we watch movies, to the way we rideshare, reserve hotels, communicate, shop, etc.
Take our 5 minute survey about DevOps, tools and error resolution practices and you might win an Amazon Gift Card worth $300!
The event of the season is here! Formerly known as JavaOne – Oracle’s new CodeOne conference has a packed schedule with 400+ sessions to choose from.
Agile workflows are the new normal for software development, and CI/CD is continuing to help accelerate the release cycle. But, successful developer teams know that CI/CD isn't enough on its own. With code being pushed to production and things breaking faster than ever, more and more teams are adding components of Continuous Reliability to their workflows.
Over the past few years, we have experienced a shift in the way we deliver applications. Every step of the development process has accelerated, and yet, we still need to deliver high-quality, reliable software.
Forward thinking companies, such as TripAdvisor, Fox, Nielsen, Zynga and Intuit, plan ahead and create automated processes to innovate faster, increasing their release frequency and mitigating the associated risks that come with it. The following whitepaper considers the benefits of fast paced release cycles and the requirements for maintaining an automated error resolution process.
Manual tasks like sifting through log files for hours on end are on a path towards extinction. With automated root cause analysis, time spent identifying and solving production errors within Java applications is cut down from days to minutes.
Data has evolved to become the ultimate tool to differentiate from your competition. Whether it be IoT, social or even just the transactional data found in our persistent stores, capturing all of it, extracting insights from it and using it to fuel business decision is the new norm for the modern enterprise. And typically, the more data you have the more insight you can gather.
At OverOps, we rethink this process and provide code-aware insight into every known and unknown issue in your applications. By integrating with AppDynamics, we can link your performance issues to a deeper understanding of root cause.
Short video demonstrating OverOps integration with StatsD.
Short video demonstrating OverOps integration with Jenkins.
Short video showing how to set up alerts with OverOps.
Short video demonstrating OverOps integration with JIRA.