My name is Mahesh and this is my first blog post at AccelOps. I lead the product marketing and product management functions at AccelOps.
Several former colleagues and friends have asked me “Why AccelOps?” It is a good question and a simple one to answer. My passion lies in driving promising products and technologies to mainstream acceptance. I’ve done this at companies such as HP, IBM and start-ups such as Loudcloud, Collation and Kontiki. It is exciting to see how AccelOps has leveraged technology and innovation to build an obsolescence-proof cloud generation IT management platform. Furthermore, I am energized by the enthusiasm of our customers and partners.
Instead of just extolling the virtues of our product I would like to highlight some key industry trends that are driving next-gen thinking on how IT monitoring and management products are built.
1. Virtualization and cloud: Has created a paradigm shift that invalidates several assumptions built into traditional IT monitoring platforms. Consider this – change windows are compressed from week/s to hours, minutes and seconds due to vMotion, DRS etc. The high velocity of change and the inherent complexity it creates demands new approaches. At the least, your monitoring platform must be built for high velocity change. There are other implications of virtualization and cloud on monitoring platforms, which I will highlight in subsequent posts.
2. Data explosion: Traditional IT monitoring products were created in an era when making management data easily available to and consumable by IT monitoring and management products wasn’t a high priority for device and software vendors. Consequently, traditional IT monitoring products were optimized to solve the data collection problem. That’s changed now. Vendor MIBs readily provide valuable data. And growing infrastructures and virtualization have resulted in an explosion of data – it is now a big data problem. As a result, the challenge has definitively shifted from collection to connecting the dots across domains and accurately analyzing it in real-time. Data analysis is the big problem not data collection.
3. Hybrid Clouds: Both analyst opinion and customer surveys point to enterprises adopting a hybrid strategy going forward – traditional data centers, private clouds and public clouds. Three key implications for this are Security, SLA and Scale. Security needs are pervasive as there is no single “perimeter” to guard. SLAs need to be maintained and managed across environments and the IT management solution should easily scale to accommodate diverse distributed environments.
4. DevOps: Is an organic movement that is bringing together development and operations teams to improve agility and reduce problems during hand-off from one group to another. As this movement goes mainstream it will have profound impact on IT Management tools. IT operations tools will not only provide data and statistics but also enable collaboration across IT teams to achieve superior results. I am a huge believer in DevOps and a previous blog post on the stages of DevOps evolution can be found here (http://bit.ly/rqAZ2O).
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