New year, same old problems for Windows 10. But it doesn’t have to be that way. Earlier this month the United State’s National Security Agency (NSA) announced that they discovered a major vulnerability in Windows 10 and Windows Server 2016 that could have had dire consequences for businesses around the world. The vulnerability places Windows endpoints at risk to a broad range of exploitation vectors NSA official cybersecurity advisory
When working on web and graphic designs there can be so much back and forth in emails and messages. There will be lots of email threads to keep up with. The review and approval process taking several turns. So, what do you do? Ask any designer about the pain they go through when it comes to the approval process. Luckily, the technology clearly will never disappoint any of us.
App containerization has picked up momentum in recent years as it helps to save costs, time and resources. Resource vendors are available to assist in containerization of one or two apps, but most vendors struggle to execute a large number of app containerization projects with the same skill level and outcomes. As a matter of fact, it’s a manual approach in certain scenarios with a lot of dependencies which is not only time and cost consuming but also prone to errors and miscalculations.
Event and alert severity are extremly important information for an effective alert management and response. Severity information determine the speed of response, needed resource allocation and the action path taken. Naturally, critical alerts have higher priority than major alerts which again overrule minor alerts.
When talking about log management, search history is overlooked more often than not. Past searches can be used as part of log analysis and forensic analysis, but the main issue with this data is the speed of search which gets compromised as data volume gets greater. We will discuss some ways to get the best out of your saved searches and to speed up the search process.
As with any enterprise technology, there are benefits and challenges when creating IT environments in the public cloud. The benefits include cost savings and the ability to easily scale up and down (just to name a few).
Logs from a variety of different AWS services can be stored in S3 buckets, like S3 server access logs, ELB access logs, CloudWatch logs, and VPC flow logs. S3 server access logs, for example, provide detailed records for the requests that are made to a bucket. This is very useful information, but unfortunately, AWS creates multiple .txt files for multiple operations, making it difficult to see exactly what operations are recorded in the log files without opening every single .txt file separately.
Elasticsearch and the rest of the Elastic Stack are commonly used for log and metric aggregation in various environments, including Kubernetes. In addition, the Elastic Stack is frequently being used for uptime tracking, with Heartbeat, as well as Application Performance Monitoring (APM), with agents supporting common programming languages, including Java.
This article originally appeared in TechBeacon. Gartner first coined the term "AIOps" a few years ago to describe "artificial intelligence for IT operations," and over the last few years, IT operations monitoring tool vendors have begun incorporating AIOps features into their products. Now AIOps tools are commonplace, but many IT leaders remain cautious about using these relatively new capabilities.
