AIMS

Oslo, Norway
2011
Jan 14, 2022   |  By Ekaterina Kazakova
At AIMS, we have invested 1000s of hours developing the feature that will change the way you monitor your digital business and technology stack - Correlation Topology. The pain that we're solving with the Correlation Topology (which some might call automated application dependency mapping and detection) is something that many enterprises and service providers are already facing.
Oct 26, 2021   |  By Ivar Sagemo
Monitoring with traditional tools and manual labor sets you up for failure. With the scope and variability of performance data that needs to be included in your monitoring scope traditional methods fail. Azure is no different.
Oct 19, 2021   |  By Raman Dubey
DTA Database is one of the most important databases in the BizTalk DB component. The issue in this database can cause a lot of performance issues in BizTalk. To keep the DB healthy, Microsoft provided some inbuilt store procedures in BizTalk, dtasp_BackupAndPurgeTrackingDatabase is one such stored procedure. This blog is not for repeating the usage of the dtasp_BackupAndPurgeTrackingDatabase but to highlight the new feature of the stored procedure.
Oct 8, 2021   |  By Raman Dubey
As a part of the recovery process during DR (Disaster Recovery) or any other unforeseen scenarios, one might have to restore the master secret to re-use the existing setup and data. This article will show you how to prepare and restore the master secret in an easy way and get your environment going.
Sep 28, 2021   |  By Alessandra Cagnazzo
At AIMS, we strive to alert as early as possible that some problem is arising for a business-critical system. We want to arrive as far as to make predictions to alert of a possible problem even before the problem itself arises. However, this is an incredibly complicated task, especially considering that AIMS builds monitoring tools that are technology agnostic and that simultaneously monitor an incredible number of parameters.
Feb 5, 2021   |  By Ivar Sagemo
AIOps is the core of digital operations. It acquires data from different sources including existing IT monitoring tools and automates processes to the point where users are given only the truly relevant data they need to perform their tasks. AIOps tools help optimize availability of digital services and increase efficiency of IT operations by automating challenging and mundane tasks where human labor an manual processes fail. Sounds great, right?
Jan 27, 2021   |  By Ivar Sagemo
Partnership will speed adoption and time-to-value for enterprises and companies adopting AIOps. The demand for AIOps (Artificial Intelligence in IT Operations) is “slowly” exploding. The pain is exploding while the adoption is slow due to the cost, time-to-value and risk associated with existing tools. The partnership between Einar & Partners and AIMS sets out to change the adoption curve.
Jun 11, 2020   |  By Stig Nerland
AIMS use machine learning and artificial intelligence to automate monitoring of IT spanning from infrastructure, services and applications across on premise and cloud. AIMS is built on the principle of quick time-to value, focus on automation through AI and machine learning with flexibility in mind to support any technology. In the intro video below we give a quick introduction to the platform. Remember, you can easily get a free forever account through signing up for the Community Edition.
Jun 3, 2020   |  By AIMS Innovation
AIMS can now get login- and audit-data from Azure AD, and pair this information with administrative- and security-events that occurs on your Azure subscription. AIMS will also use its machine-learning to create baselines for the 4 different event-types, meaning that if there is a sudden change of activity on either event-type, AIMS will be able to detect this and correlate the information to any impacts detected.
May 29, 2020   |  By AIMS Innovation
We just recently updated our Windows Server agent, as we see a lot of customers want more detailed server monitoring. The old versions´ primary focus was to act as a support agent for application monitoring, so AIMS could correlate basic server performance data to the application performance.
Dec 27, 2021   |  By AIMS
Understanding the dependencies and relationships between IT assets (breakable pieces) across your data centers and cloud becomes crucial to understanding what your business relies on. What if the dependencies and relationships could be surfaced and kept up-to-date without a massive project and ongoing maintenance? That is what AIMS is solving with the Correlation Topology.
Nov 26, 2021   |  By AIMS
Monitoring with traditional tools and manual labor sets you up for failure. With the scope and variability of performance data that needs to be included in your monitoring scope traditional methods fail. Monitoring Azure is no different. What we face with Azure monitoring is: What if a solution could deliver.
Jun 8, 2020   |  By AIMS
AIMS Licensing information
Jun 5, 2020   |  By AIMS
Learn how to sign up for an AIMS account and connect your first systems.
Jun 5, 2020   |  By AIMS
Get an introduction to AIMS and the concept of AIMS AIOps platform
Jun 5, 2020   |  By AIMS
Get a high level intro to the AIMS management dashboard
Jun 5, 2020   |  By AIMS
Learn how to use the Sunburst with the AIMS Score to easily identify IT problems.
Jun 5, 2020   |  By AIMS
Learn how to work with AIMS anomalies to identify the root cause of issues in your IT environment.
Jun 5, 2020   |  By AIMS
Lean how to work with the management dashboard and the benefits of the different features.
Jun 5, 2020   |  By AIMS
Lean how to use the AIMS topology to better understand your IT environment
Jan 14, 2022   |  By AIMS
According to Gartner, the impact of AIOps on IT operations will be transformative. But what are the Building Blocks of AIOps - and how can you validate the value and feasibility for your organization? Download "The AIOps Building Blocks" to find the answers and to learn about the 5 essential components of AIOps.
Jan 14, 2022   |  By AIMS
The adoption of Microsoft Azure and the public cloud, in general, grows quickly. There are obvious advantages from moving traditional servers to virtual machines in Azure, such as provisioning and administration of the servers. Adopting microservices and elastic resources represent a material change from a traditional server-based or monolithic approach and with different benefits and advantages.

AIMS applies automation, machine learning, and artificial intelligence to solve this problem. AIMS generates a deep, dynamic 360° map of your entire IT environment and data – including the unknown unknowns.

With 200+ out-of-the-box integrations, the flexible AIMS API, and agents you can connect all your systems - cloud, hybrid, and on-premise. AIMS automatically normalizes the data with the hyper-scalable time series Normalization Engine. Then AIMS uses machine learning and artificial intelligence to learn the behavior of all your performance metrics across your IT environment, identifies critical correlations and dependencies, and provides you early notification of IT issues that can bring down your business.

With AIMS AIOps you can:

  • Proactively identify issues that can impact your business
  • Extract real-time business intelligence from IT systems
  • Enable IT to impact business outcomes and drive innovation
  • Prevent bottlenecks and downtime in critical business processes
  • Automatically detect changes to resource consumption & control costs
  • Reduce time wasted on manual configuration and troubleshooting

IT monitoring is broken. Hiring additional staff is not the solution. Artificial Intelligence is.