A Wish List for a Best in Class APM Solution

Jim Young

APM solutions abound. Some strong in cloud, others in on-prem. Some offer slick visualization, others masses of feature function. Some providing an excellent eagle-eye view, and others offering exceptional drill-down functionality. But there is no "best of all worlds" - there are major gaps in each offering. The only solution appears to be a mix and match of unintegrated products, often from a variety of vendors.

And so, I've come up with a wish-list of features that I would like to see in a true best-in-class APM solution:

- Manages performance, availability, and capacity for complex application infrastructures.

- Gives visibility, control, and automation for mission-critical applications.

- Performs equally well in on-prem, cloud and hybrid environments.

- Manages mobile applications.

- Deep-dive diagnostics.

- Intuitive user interface, offering a single point of entry.
Modular design and extensibility.

- Flexible deployment options.

- Quick time to value.

- Ability to monitor the latest platforms - Ruby, MongoDB ...

... and a partridge in a pear tree.

Jim Young is Information Development Manager, IBM Cloud and Smarter Infrastructure

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www.ibm.com

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A Wish List for a Best in Class APM Solution

Jim Young

APM solutions abound. Some strong in cloud, others in on-prem. Some offer slick visualization, others masses of feature function. Some providing an excellent eagle-eye view, and others offering exceptional drill-down functionality. But there is no "best of all worlds" - there are major gaps in each offering. The only solution appears to be a mix and match of unintegrated products, often from a variety of vendors.

And so, I've come up with a wish-list of features that I would like to see in a true best-in-class APM solution:

- Manages performance, availability, and capacity for complex application infrastructures.

- Gives visibility, control, and automation for mission-critical applications.

- Performs equally well in on-prem, cloud and hybrid environments.

- Manages mobile applications.

- Deep-dive diagnostics.

- Intuitive user interface, offering a single point of entry.
Modular design and extensibility.

- Flexible deployment options.

- Quick time to value.

- Ability to monitor the latest platforms - Ruby, MongoDB ...

... and a partridge in a pear tree.

Jim Young is Information Development Manager, IBM Cloud and Smarter Infrastructure

Related Links:

www.ibm.com

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Beyond Traditional Autoscaling: The Future of Kubernetes in AI Infrastructure

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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Misaligned Architecture Causes Service Disruptions, High Operational Costs and Security Challenges

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A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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