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The Sapphire Ventures CIO Innovation Index Report: CIOs Forge Tighter Bonds with Startups, Especially in AI
Oct 22, 2019 | By Polly Traylor
Despite a rocky year in the global economy, global venture deal volume grew by over 9.3 percent in the third quarter of 2019, up nearly 9.9 percent from Q3 2018, according to Crunchbase. The year 2018 was a banner year for dollar volume: startups raised $130.9 billion, which surpassed the epic year of 2000, according to Pitchbook.
Oct 17, 2019 | By Michael Fisher
Chaos engineering (CE) is the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production. This approach is becoming commonplace in software development and operations (DevOps) practices. But how would its application extend to ITOps? CE for ITOps offers a similar framework for stress-testing a technology platform to understand its weak points and performance pitfalls under heavy pressure.
Oct 15, 2019 | By Silvan Sundeep
Webhooks allow third-party services to send updates through events and deliver real-time information to OpsRamp via HTTP requests. When an event gets triggered, an HTTP POST payload is sent to the configured webhook URL and custom logic associated with the webhook gets executed.
OpsRamp Fall 2019 Release: Deliver Better Uptime with Service-Centric AIOps and Enable Compelling Customer Experiences With Multi-Cloud Monitoring
Oct 10, 2019 | By Michael Fisher
The OpsRamp Fall 2019 Release delivers comprehensive features for hybrid infrastructure management with machine learning-powered intelligent correlation and multi-cloud monitoring support. The new release also offers enhanced synthetic monitoring capabilities and a new custom integration framework for sharing data with third-party IT management tools.
Oct 9, 2019 | By Bojan Simic
Digital Enterprise Journal’s (DEJ) research shows that organizations view cloud strategies as key areas for using technology to create business value. Organizations are seeing the importance of cloud deployments in each of the following areas of digital transformation - agility (71%), innovation (65%) and cost optimization (61%). The majority of cloud deployments are being conducted in a hybrid model where parts of IT services are being managed on-premises and in private and public cloud(s).
Mar 1, 2019 | By OpsRamp
Learn how to use the right processes and tools to manage risk across project execution, budgets, staffing, and timelines for a cloud migration initiative.
Feb 15, 2019 | By OpsRamp
Read the 451 Research report to learn how OpsRamp is transforming hybrid operations with service-centric AIOps.
Oct 10, 2019 | By OpsRamp, Inc
More control. More flexibility. Less chaos. The OpsRamp Fall Release includes enhancements to OpsQ, the OpsRamp artificial intelligence inference engine, that improves event management capabilities and intelligent correlation machine learning models, along with improved multi-cloud monitoring and much more.
Aug 23, 2019 | By OpsRamp, Inc
Artificial intelligence for IT operations (AIOps), with its promises of smarter automation, data ingestion, and actionable insights, is all the rage in the world of IT infrastructure monitoring and management. But how do you fundamentally implement it in an organization that is simultaneously balancing the demands of legacy, cloud, and hyperconverged digital infrastructure?
Jul 12, 2019 | By OpsRamp
Artificial intelligence for IT Operations is purpose-built to ingest large sources of data from infrastructure and point tools, and produce actionable insights on root-cause analysis and incident remediation. How do you bring these innovations to an enterprise ecosystem that’s also in the middle of cloud migration and overall digital transformation?
Jul 2, 2019 | By OpsRamp
Hear Bhanu Singh's presentation at Cloud Expo Santa Clara on how to build a data-driven organization for better operational agility in the face of overwhelming data.
Jun 4, 2019 | By OpsRamp
The Summer 2019 Release introduces OpsQ Observed Mode to build confidence in machine learning models for IT event and performance analysis. It also includes automated alert suppression to reduce human time spent on first-response to alerts, continuous learning-based alert escalation using live event data, and new infrastructure monitoring capabilities for cloud native environments.