Mar 21, 2023 | By Ahik
If you are like most organizations, your technology environment is a complex mixture of tools needed to run your business. In this environment, monitoring and observability are critical to making sure everything is running smoothly. You use monitoring tools to measure server resources, log-parsing tools for troubleshooting, application tools to observe application performance, and audit-request tools to comply with regulations. While these are all valid observability needs, there are risks to overdoing it by introducing too many tools. Here are some ways to avoid monitoring proliferation when developing your observability strategy.
Feb 17, 2023 | By Amalya Shnaps
A seemingly straightforward technical problem can often have explosive consequences. Say a tech team restarts a cloud server overnight; those few minutes of downtime might trigger a problem elsewhere and cause your app to crash. The following morning, customers can't access your services, you're trending on social media for all the wrong reasons and your customer service reps are left to pick up the pieces. Scenarios like this prove the value of incident management. But you need best practices that ensure incident management does what it's supposed to do. Otherwise, it's just another buzzword. Here are some best practices for incident management that you need to incorporate into your tech organization.
Jan 23, 2023 | By Amalya Shnaps
Some of the highest priorities for engineers - from NOC Engineers, DevOps & Site Reliability Engineers - are the automation and optimization of their production environments. Many companies today face tough challenges with their Network Operations Centers (NOCs) or production environments. These challenges fall into the hands of engineering teams.
Dec 26, 2022 | By Amalya Shnaps
To many, incident management and operations management may seem similar though they differ significantly. This difference, which lies in their end goals, also suggests that operations management is much more than incident management. To better understand why, it helps to look at the purpose of each one.
MoovingON and 2bcloud form U.S. Strategic Partnership, Elevating CloudOps Automation to Never Seen Before Benchmarks
Dec 8, 2022 | By MoovingON
Industry Leading "Auto-Healing" Cloud Operations Solution, moovingon.ai, Is Now Available in the United States, Following a Decade of Customers' Success in Israel.
Nov 27, 2022 | By Amalya Shnaps
With advances in the field of IT, the amount of data needed to manage IT Operations has grown. In particular with more complex environments, such as the SaaS world, the amounts of data and raw data needed to manage operations have grown exponentially. Managing data manually has become a waste of professionals' skill sets, which could be better used in analyzing and applying the conclusions drawn from the raw data, and not dealing with basic issues that may arise.
Nov 20, 2022 | By Amalya Shnaps
Pixellot’s automated sports production solutions revolutionize traditional video capture, production and distribution processes, enabling professional and amateur sports organizations to affordably cover and monetize their events. Pixellot’s patented technology streamlines the production workflow by deploying an unmanned multi-camera system in a single fixed rig (with additional angles as required), covering the entire field and delivering a stitched panoramic image.
Oct 30, 2022 | By Amalya Shnaps
These abbreviations are used often in the world of DevOps, NOC, and R&D, but often they are used interchangeably when they aren’t actually the same. So, what’s the difference?
Oct 23, 2022 | By Amalya Shnaps
There are many computing resources used in different cloud application services to provide online software-as-a-service (SaaS). SaaS differs from traditional applications in that it works from a cloud computing environment. This means that both the application service as well as user data are being hosted by a cloud provider in the cloud. Therefore, the SaaS and data are accessible from anywhere as long as there's online access. This model provides a distinct advantage from a software perspective.
Sep 27, 2022 | By MoovingON
Much like in other production environments, the production of cloud services is based on and orchestrated by a plethora of tools-making part of cloud services' overall cloud infrastructure. Given how cloud services are as complex as they are intricate, a vast range of detailed steps need to be performed in a certain order for the production environment to run smoothly, whether it's carrying out maintenance procedures, updates and upgrades, or resolving issues to prevent downtime.
Feb 20, 2022 | By MoovingON
From increasing efficiency and visibility to improving ticket resolution times and runbook automation, MoovingON's CloudOps platform provided SecurityDam's NOC manager and team with everything they needed to run operations more smoothly and effectively.
Jun 9, 2021 | By MoovingON
XiteiT MoovingON solution. System interruptions can’t always be prevented. What matters is how you recover from them. XiteiT helps you manage your 24/7 operation efficiently, balancing your business goals and resources with AIOps and runbook automation.
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The MoovingON.ai platform helps DevOps, SREs, and Operations teams keep modern, fast-moving cloud environments up and running, while balancing between business goals and operational efficiency.
With an entirely technology-agnostic solution, you can orchestrate and automate monitoring, productivity, and escalation processes across your organization. Manage all tasks in one place in order to create 360° observability and operational consistency to achieve more than 90% automated healing.
The MoovingON.ai CloudOps management platform provides you with:
- Runbook automation: No-code runbook workflows, automatically connected to your alerts for automating operational procedures and incident remediation.
- Observability: Gain better visibility across production environments by unifying all your metrics into a single pane of glass.
- AIOps: Improve incident detection and resolution time using machine learning.
- Operational Insights: Analyze your cloud production performance from various operational angles and share across relevant teams as needed for continuous improvement.