OpTier was designed and optimized for Contextual Big Data from the very first version of the software. As such, dashboards, analysis tools, reports and alerting are all transaction-centric. Transactions are characterized by their business context and value, the specific user who submitted them, the system resources they consumed, the tier-by-tier latency, and whether they completed or failed, or met their SLAs. Analysis is granular down to the transaction instance level and its specific topology, as well as aggregated at multiple levels to allow everything from a birds-eye view of datacenter topology to specific instance-level root cause. The Contextual Big Data can be fed into our advanced analytics module for business-relevant reporting and alerts.
While other solutions also monitor end user SLAs and collect inferred resource consumption and latency metrics the analysis, presentation and organization of this data is not transaction-centric. Some solutions provide transaction traces for specific transactions but do not feed this into the main model. As a result the data is just another set of monitored system and network metrics, and SLAs that are not meaningful or relevant to the business. This is largely because BTM was an afterthought for these vendors, and any transaction context is a bolt-on feature with associated clunky workflows.
OpTier's lightweight patented ACT technology was designed exclusively to collect Big Transaction Data from production monitoring. The combination of agentless and agent-based techniques collect all the necessary data, allowing your business to remain always-on with extremely low, completely predictable, overhead, while generating the most comprehensive and accurate APM view.
Other solutions employ exception-based data capture, collecting more data after a slowdown has occurred. First, this results in the monitoring actually contributing to further sluggishness or even an outage. Second, there is no way of knowing how much overhead these solutions will add to the system at any given time since that will always depend on the nature and frequency of exceptions. This is not the case with OpTier.
With OpTier, business transactions are automatically discovered and classified. Transactions are stamped with a unique identifier or "barcode" and automatically followed across all tiers. They are automatically named and grouped leveraging rules-based intelligence that extracts the business context from URLs, payload, headers, etc. A single click allows you to set SLAs from automatic baselines.
Other solutions require you to manually specify the business context for a transaction, or require you to manually stitch together the end-to-end transaction from its parts. Further configuration is required to explicitly specify methods or message types to be tracked or excluded. SLAs are also set manually, or require a complicated workflow to derive from baseline data. These manual specifications cost a lot up front and more when they need to be changed as the applications and infrastructure change. Some solutions may even refer to SQL statements and ASP.NET pages as "transactions". In OpTier's view, if it is not meaningful to an end user, it is not a business transaction. OpTier provides more business context and business impact information than any other vendor.
Multiple techniques are employed to track transactions across virtually any application and environment. These include passive network-based monitoring, tier-based agents, bytecode instrumentation, log analysis, proprietary APIs, and more. Our coverage extends to asynchronous transactions, load balancers, LDAP servers, C/C#/C++ tiers, message buses, and mainframes.
Many vendors that claim a tp offer analysis and collection based on only a subset of these rich data sources. As a result, compared to OpTier, their topology maps have large gaps in coverage. Limitations with respect to asynchronous transactions may additionally result in the inability to track user activities end-to-end and inaccuracies such as missing or masked tiers.
OpTier's advanced analytics further support business goals and use cases for different stakeholders with business-relevant reporting and smarter alerts based on Contextual Big Data. OpTier parses raw transaction data into meaningful information for the line-of-business leveraging complex event processing, OLAP, and log analysis technologies. Actionable insight is delivered in the form of historic and periodic reports, real-time dashboards and prompt alerts.
A transactional data model is a pre-requisite for providing contextual business-level intelligence. Lacking this, business analytics are generally not a focus for more traditional IT solutions that are more concerned with data collection and silo-ed troubleshooting. OpTier's vision extends well beyond this limited perspective.
The open BTM architecture underpinning OpTier's solution is easily extensible and integrates with CMDBs, system monitoring, incident management, capacity planning and traditional APM deep dive solutions allowing you to leverage existing investments. The open data store supports easy integration with business intelligence (BI) solutions. Integrations are enabled via a convenient web services and other interfaces.
Other APM vendors provide "closed" solutions, requiring you to buy a full suite of capability above and beyond BTM. This limits your ability to drive the most value from your investments leveraging synergistic workflows and integrations.
OpTier's highly scalable solution has proven success in the most demanding high volume, low latency environments. OpTier is widely deployed at numerous Global 500 enterprises including Frontier Communications, Morgan Stanley, Deutsche Bank, Telstra and Avery Dennison. Our customers attest to the robustness and quality of our solution and our responsiveness to their needs. On numerous occasions we have exceeded customer expectations with regards to ROI, consistently exceeding ROI previously derived from other similar solutions.
Other BTM solutions (including solutions offered by the Big Four) have few working deployments, if any. Ask for customer references!