Virtual Instruments Finally Gets NAS-ty

(Excerpt from original post on the Taneja Group News Blog)

When Virtual Instruments merged in/acquired Load Dynamix recently, we thought good things were going to happen.  VI could now offer its users a full performance management “loop” of monitoring and testing in a common suite. Apparently VI’s clientele agreed because they’ve just finished out a stellar first half of year financially. Now, to sweeten the offer even more, VI is broadening its traditionally Fibre Channel/block focused monitoring (historically rooted in their original FC SAN probes) to fully encompass NAS monitoring too.

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Filling In With Flash – Tintri Offers Smaller All Flash For Hungry VMs

(Excerpt from original post on the Taneja Group News Blog)

In 2015 we finally saw VVOLs start to roll out, yet VVOL support varies widely and so far hasn’t been as impressive as we’d have thought. Perhaps VMware’s own Virtual SAN stole some of their own show, but more likely spotty VVOL enhancements just haven’t leveled the playing field with enterprise grade VM aware storage like that from Tintri. And in fact Tintri is still running away with the ball having rolled out fast all-flash solutions earlier this year (at 72 and 36TB effective capacity).

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Visualizing (and Optimizing) Cluster Performance

(Excerpt from original post on the Taneja Group News Blog)

Clusters are the scale-out way to go in today’s data center. Why not try to architect an infrastructure that can grow linearly in capacity and/or performance? Well, one problem is that operations can get quite complex especially when you start mixing workloads and tenants on the same cluster. In vanilla big data solutions everyone can compete, and not always fairly, for the same resources. This is a growing problem in production environments where big data apps are starting to underpin key business-impacting processes.

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SOC, NOC, and Roll – AccelOps Converges Security and Network Ops

(Excerpt from original post on the Taneja Group News Blog)

We are seeing convergence everywhere in IT these days. AccelOps shows how convergence in systems management offers many of the same kinds of values as it does in other areas of IT – leveraged capabilities across formerly silo’d practices, simplified tasks and automation embedding best practices, and ready to roll deployment out of the box. AccelOps has tied security, compliance and network operations together into a one stop SOC and NOC “in a box”.

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Database performance tuning: Five ways for IT to save the day

An IT industry analyst article published by SearchDataCenter.

IT teams can play heroes when database performance issues disrupt applications. Try these five tips for performance tuning before there’s a problem.


article_Database-performance-tuning-Five-ways-for-IT-to-save-the-day
When database performance takes a turn for the worse, IT can play the hero. Production database performance can slow dramatically as both data and the business grow. Whenever a key database slows down, widespread business damage can result.

Technically, performance can be tackled at many different levels — applications can be optimized, databases tuned or new architectures built. However, in production, the problem often falls on IT operations to implement something fast and in a minimally disruptive manner.

There are some new ways for IT pros to tackle slowdown problems. However, one question must be addressed first: Why is it up to IT?

Database administrators and developers have many ways to achieve database performance tuning. They can adjust configuration files to better align database requirements with underlying infrastructure, add indexing, implement stored procedures or even modify the schema to (gasp!) denormalize some tables.

Developers have significant control over how a database is used; they determine what data is processed and how it is queried. Great developers wield fierce SQL ninja skills to tune client queries, implement caching and build application-side throttling. Or, they rewrite the app to use a promising new database platform, such as a NoSQL variant.

All kinds of databases, however, can eventually suffer performance degradation at operational scales. Worse, many developers simply expect IT to simply add more infrastructure if things get slow in production, which clearly isn’t the best option.

Five ways [IT] can address database performance issues:…

…(read the complete as-published article there)

Application Performance Management (APM) For Big Data

(Excerpt from original post on the Taneja Group News Blog)

Concurrent, the folks behind Cascading, have today announced the beta of “Driven” – an Application Performance Management (APM) solution for Hadoop. APM has been sorely missing from the Hadoop ecosystem at a level in which developers, IT ops, and even end users can quickly get to the bottom of any issues.

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Is Virtualization Stalled On Performance?

An IT industry analyst article published by Virtualization Review.

Virtualization and cloud architectures are driving great efficiency and agility gains across wide swaths of the data center, but they can also make it harder to deliver consistent performance to critical applications. Let’s look at some solutions.

article_virtualization-stalled-performanceOne of the hardest challenges for an IT provider today is to guarantee a specific level of “response-time” performance to applications. Performance is absolutely mission-critical for many business applications, which has often led to expensively over-provisioned and dedicated infrastructures. Unfortunately broad technology evolutions like virtualization and cloud architectures that are driving great efficiency and agility gains across wide swaths of the data center can actually make it harder to deliver consistent performance to critical applications.

For example, solutions like VMware vSphere and Microsoft Hyper-V have been a godsend to overflowing data centers full of under-utilized servers by enabling such high levels of consolidation that it has saved companies, empowered new paradigms (i.e. cloud), and positively impacted our environment. Yet large virtualization projects tend to stall when it comes time to host performance-sensitive applications. Currently, the dynamic infrastructures of these x86 server virtualization technologies don’t provide a simple way for applications to allocate a “real performance level” in the same manner as they easily allocate a given capacity of virtual resource (e.g. CPU, disk space). In addition, virtualization solutions can introduce extra challenges by hiding resource contention, sharing resources dynamically, and optimizing for greatest utilization.

The good news is that additional performance management can help IT virtualize applications that require guaranteed performance, identify when performance gets out of whack, and rapidly uncover where contention and bottlenecks might be hiding

…(read the complete as-published article there)