ExtraHop announced the availability of ExtraHop for Amazon Web Services (AWS).
The ExtraHop for AWS solution extends ExtraHop’s wire data analytics platform to span on-premises and cloud environments in a single management pane, enabling IT organizations to accelerate public cloud adoption by identifying applications for migration and then optimizing their performance, availability, and security.
ExtraHop for AWS delivers visibility and diagnostics across all AWS services, including EC2, RDS, S3, ELB, Elasticache, DNS, and others.
With wire data analytics that extend beyond simple resource utilization monitoring, ExtraHop enables IT teams to predictably monitor workload performance; understand differences between AWS regions and zones; accurately track efficiency and performance-based SLAs; and ensure security with pervasive, contextual monitoring.
ExtraHop for AWS also enables IT teams to better identify applications for migration and architect them for optimal performance post-migration.
The ExtraHop for AWS solution offers a host of key capabilities:
- Strategically Architected AWS Deployments: ExtraHop for AWS gives IT teams visibility into transaction volume, variability, latency, errors, size, and other metrics for AWS regions and zones. These insights into workload characteristics enable teams to optimize AWS deployments and better manage costs based on true workload requirements.
- Optimization of AWS Database Performance: ExtraHop for AWS shows query volume, methods, errors, SQL statements, and related details, providing visibility into transaction-level database metrics and enabling IT teams to identify the best database applications to migrate to AWS. Once in AWS, ExtraHop provides granular, transaction-level metrics in RDS to identify, diagnose, and optimize query performance.
- Visibility into Elastic Load Balancing (ELB) and Auto-Scaling: ExtraHop for AWS shows real-time ELB and auto-scaling events and correlates them with the end-user experience. With ExtraHop for AWS, IT organizations can intelligently set ELB and auto-scaling policies and size instances properly, automatically scale up new EC2 instances based on transaction metrics, and detect and respond to DDoS attacks immediately to minimize impact on end users.
- Integration with AWS CloudWatch: ExtraHop for AWS supplements CloudWatch’s visibility into AWS resource utilization, automatically feeding CloudWatch standard transactional metrics such as RDS or EC2 per client transaction response times. It also ensures more-informed capacity planning and identifies which zones and regions best serve users based on the performance of the applications, end-user experience, and the supporting AWS services. Finally, it can easily be extended to instrument nearly any transactional element, and those custom metrics can also be integrated with AWS CloudWatch.
The Latest
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
