Tag Archives: technology

Microsoft 365 eDiscovery Throttling is Structural and Won’t Be Going Away

By Chas Meier

Users of Microsoft 365 for eDiscovery and Information Governance continue to encounter significant problems with low throughput and defensibility. Many customers report to us that Purview eDiscovery Premium’s documented limitations, including a 2GB per hour indexing limit, prevent them from using the platform to handle anything other than small matters. A routine eDiscovery matter involving one hundred custodians each with about 10GB of M365 data typically requires several weeks to complete with MS Purview Premium. This is a non-starter for legal teams who are up against pressing litigation timelines.

It is important to understand that because M365 is built on a large-scale multi-tenancy SaaS architecture, such challenges are a feature, not a bug of the system. Multi-tenancy is an architecture where shared computing resources are apportioned across large numbers of users. This architecture enables Microsoft to provide the service at a lower cost since computing services are shared.

However, multi-tenant architecture enables scale (in terms of multitudes of users) and efficiency through uniformity. These architectures are not designed for outlier workloads like eDiscovery that routinely require intensive surges in computing resources to collect, process and search terabytes of data. In fact, multi-tenancy cloud architects would identify eDiscovery workloads as a “noisy neighbor” that threatens the overall performance and user experience of the system, and thus must be managed through quality-of-service mechanisms like throttling and time-outs.

I think of multi-tenant architectures like the business model utilized by a gym. The gym has more and better equipment than I have at home, which is attractive so many will join through a membership. The gym has a fixed amount of square footage and equipment which is more than any individual needs and is sufficient to support those that show up, occasionally having to coordinate access to the equipment but manageable. However, what if a small group showed up at the gym every day for most of the day and hogged the equipment? What if more people showed up, became frustrated, and dissatisfied? Gym management would be forced to act to ensure fair access to the equipment.

Throughout my career as an eDiscovery service provider, we made large investments in infrastructure and capacity to the point of overkill to equip ourselves to service a client’s need to address high volumes of data in short timelines without impacting their business-as-usual activities. We were like the fire department for big unstructured data needs.

A huge differentiator in X1’s approach is to divide and conquer large scale projects by leveraging the cumulative power of a decentralized computing orchestrated through a unified management, search, and collection console. Think of this like deploying a fire suppression system proactively before the fire.

Last year, X1 introduced M365 data connectors into our X1 Enterprise platform to satisfy a critical need for enterprises to conduct cost-efficient yet highly scalable eDiscovery search and collection of M365 data. The response has been tremendous, with X1 seeing record demand in large part, due to the architectural limitations and deficiencies noted above.

X1 Enterprise Collect provides users the unique ability to index and search M365 data in-place and then collect in a targeted and iterative manner. This at speeds and throughput far exceeding other tools, including Microsoft Purview Premium. X1 achieves such scalability through a decentralized custodian-based approach that does not rely on the M365 or Purview search Index, which has known issues with the number of file types supported, consistency of search results, and throughput. X1’s approach enables a very scalable, defensible, and robust data collection at speeds far exceeding that of M365 Purview and other approaches.

For a demonstration of the X1 Enterprise Collect Platform, contact us at sales@x1.com. For more details on this innovative solution, please visit www.x1.com/solutions/x1-enterprise-platform.

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Filed under Best Practices, Cloud Data, Corporations, eDiscovery, eDiscovery & Compliance, Enterprise eDiscovery, ESI, Information Governance, Preservation & Collection

Amazon Re:Invent – With the Cloud, Avoid Mistakes of the Past

Last week, I had the opportunity to attend the Amazon Re:Invent conference in Las Vegas. Over 13,000 people took over the Palazzo for deep dive technical sessions to learn how to harness the power of Amazon Web Services (AWS). reinventThis show had a much different energy than other enterprise software conferences, such as VMworld.  Whereas most conferences feature a great deal of selling and marketing by the host, Amazon Re:Invent was truly more of a training show. Cloud architects spent a lot of time in technical bootcamps learning how AWS works and getting certified as administrators.

That is not to say that there was no selling or marketing going on; the exhibition hall featured myriad vendors that augment or assist with AWS deployments and solutions. The focus on the deep technical details, though, does point out the fact that we are still in the very early days of the cloud. Most of the focus of the keynotes was about getting compute workloads to the cloud – there was not a lot of mention of moving actual data to the cloud, even though that is certainly beginning to happen.  But, that is how the evolution goes. IT departments need to be comfortable moving workloads to the cloud as they begin to leverage the cloud. Building this foundation is also important to Amazon – the goal would be for many companies to completely outsource the IT data center.

It is important, however, to proactive plan for information management as more workloads and, importantly, data move to the cloud.  As the internet first emerged, companies dove into new technologies like email and network file shares only to create eDiscovery nightmares and make it virtually impossible to find information within digital landfills. It is key to learn from those mistakes rather than to repeat them when leveraging cloud-based technologies. In order to ensure both that end-users are happy with search experiences on data in the cloud and that Legal can do what they need to do from an eDiscovery standpoint. This means providing business workers with unified access to email, files, and SharePoint information regardless of where the data lives. It also means giving Legal teams fast search queries and collections. But, Cloud search is slow, as indexes live far from the information. This results in frustrated workers and Legal teams afraid that eDiscovery cannot be completed in time.

If a customer wanted to speed up search, it would have to essentially attach an appliance to a hot-air balloon and send it up to the Cloud provider so that the customer’s index could live on that appliance (or farm of appliances) in the Cloud providers data center, physically near the data. There are many reasons, however, that a Cloud provider would not allow a customer to do that:

  • Long install process
  • Challenging Pre-requisites
  • 3rd party installation concerns
  • Physical access
  • Specific hardware requirements
  • They only scale vertically

The solution to a faster search is a cloud-deployable search application, such as X1 Rapid Discovery. This creates a win-win for Cloud providers and customers alike. As enterprises move more and more information to the Cloud, it will be important to think about workers’ experiences with Cloud systems – and search is one of those user experiences that, if it is a bad one, can really negatively affect a project and cause user revolt. eDiscovery is also a major concern – I’ve worked with organizations that moved data to the cloud before planning how they would handle eDiscovery. That left Legal teams to clean up messes, or more realistically, just deal with the messes. By thinking about these issues before moving data to the cloud, it is possible to avoid these painful occurrences and leverage the cloud without headaches. At X1, we look forward to working closely with Amazon to help customers have the search and eDiscovery solutions they need as more and more data goes to AWS.

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Filed under Cloud Data, eDiscovery & Compliance, Enterprise eDiscovery, Enterprise Search, Hybrid Search, Information Access, Information Governance, Information Management

The Time Has Come to Approach Search Differently

Anyone in the search / eDiscovery business lives and breathes search – we think about all day, every day because it is our livelihood.  At X1, we have many customers making real progress with enterprise search, so there can be the perception that organizations have learned to address the very real challenge of helping employees find information.  Thus, it can be surprising to run into research that shows just how bad the traditional approach to enterprise search is.

I came across the “Enterprise Search and Findability Survey 2014” on the Findwise website.  It is very interesting reading and really confirms that a new approach to enterprise search is needed.  Some of the key points, from my perspective, are;

  • Almost half of the survey respondents in large organizations (1,000 employees or more) find it difficult or very difficult to find information.
  • Almost two-thirds of respondents are either dissatisfied or very dissatisfied with their existing search applications.
  • Almost two-thirds of respondents believe it is very important to improve the ability to find the right information.

Simply put, traditional enterprise search did not work.  Too many employees complain about not being able to find what they are looking for.  The search solutions deployed over the last 15 years focused on IT requirements rather than end-user requirements.  These tools required end-users to tag and rate their search results, something end-users have neither the time nor the emotional investment to do.  This very point is something that Marcus Stimler, CTO of Capgemini UI, points out on the webinar we did earlier this month – the reliance of traditional search tools on end-users to tag information leads to a lack of findability.  This survey just confirms that fact.

It is not all doom and gloom, however, as many X1 customers know.  There is a better way to approach enterprise search and it begins with the end-user.  In today’s business world, end-users know what they want.  They demand good experiences with technology.   A web page with links to search results will not cut it in the enterprise.  Users need a single-pane-of-glass view to all of their information – email, files, SharePoint, archives like Symantec Enterprise Vault, and other enterprise repositories that users might access.   X1 Search 8 provides just that – a user-friendly interface to all information that lets workers use their brains to find what they are looking for.

Beyond the desktop, X1 Rapid Discovery indexes other sources of content – either on-premise or in the Cloud – and makes the information available alongside a user’s local content.  Perhaps the beauty of this approach lies mostly with its simplicity.  Workers are happy because they can find information.  IT is surprisingly happy because they have a search tool that is easily deployable, as opposed to the traditional complex science project.  This overall happiness is a result of a new approach to enterprise search starting with end-user requirements and extending outward.  It is a subtle difference, but a meaningful one that will drive the results of future findability surveys to a new level.

For more on our perspectives on why enterprise search initiatives often fail, while X1 is invariably successful, please download this short treatise. This was inspired by direct feedback from many successful X1 install sites.  In a nutshell, X1 addresses users’ personalized requirements for business productivity search.

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A key mistake is to take big data or web search solutions and apply them to the very different use case of business productivity search. The matrix displayed here illustrates the key differences between these use cases.

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Filed under Business Productivity Search, Enterprise Search