This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems!
We look at the key skills and tools required in Modern monitoring and analytics:
-Full Stack Visibility
-Data- Driven Insights
Put your SRE Teams in the Driver's Seat with a new model for application monitoring.
Gartner named Akamai a Leader in their 2017 Magic Quadrant for Web Application Firewalls.
A web application firewall is an essential element in your defense against application-layer attacks, which pose an ever-greater threat to productivity and security.
The Akamai approach to WAF combines:
An anomaly detection model
A repeatable testing framework to measure effectiveness
Threat intelligence to identify the latest threats
A cloud platform for global scale
Managed security services to help organizations better protect their websites and web applications over time
Encryption technology has enabled much greater privacy and security for enterprises that use the Internet to communicate and transact business online. Mobile, cloud and web applications rely on well-implemented encryption mechanisms, using keys and certificates to ensure security and trust. However, businesses are not the only ones to benefit from encryption.
With enhanced regulatory pressure, banks must continuously evaluate their risks. To meet these demands, the AML industry has turned to analytical/statistical methodologies to reduce false-positive alerts, increase monitoring coverage and reduce the rapidly escalating financial cost of maintaining their AML programs. An effective AML transaction monitoring strategy includes segmenting the customer base by analyzing customer activity and risk characteristics in order to monitor them more effectively. This paper explains how to blend both quantitative and qualitative methods to tune scenarios to identify the activity that poses the most risk to the bank.
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones.
More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
Enhanced regulatory pressure requires continuous evaluation of your bank’s risks. To meet these demands, the AML industry has turned to analytical/statistical methodologies to:
• Improve monitoring programs.
• Reduce false-positive alerts.
• Increase monitoring coverage.
• Reduce the rapidly escalating financial cost of maintaining AML programs.