The latest News and Information on Log Management, Log Analytics and related technologies.
Even though containers have been around for ages, it wasn’t until Docker showed up that containers really became widely adopted. Docker has made it easier, faster, and cheaper to deploy containerized applications. However, organizations that adopt container orchestration tools for application deployment face new maintenance challenges.
AWS VPC Flow Logs record details about the traffic passing through your application, including requests that were allowed or denied according to your ACL (access control list) rules. It also has information about the IP addresses, and ports for each request, the number of packets, bytes sent, and timestamps for each request. This information brings deep visibility and the ability to improve your security posture over time.
Despite the hype around predictive maintenance, basic data collection and analysis are still high priorities for manufacturing companies and key criteria for the success of Industrial Internet of Things (IIoT) projects. It is crucial that people who are most familiar with industrial assets, like process or control engineers, have direct access to industrial data. That way inadequate situations such as breakdowns can be resolved quickly.
As I have mentioned in previous blogs use of AI can be challenging, but it can also deliver a lot of positive outcomes. Many of our customers believe that they have a skills and understanding gap when it comes to AI, which is why we are delighted to have been working with the World Economic Forum (WEF) to draft guidance on how these types of techniques can be used and assessed.
Log management software operates on the basis of receiving, storing, and analyzing different types of log format files. There are several of these standardized log formats that are most commonly generated by a wide assortment of different devices and systems. As such, it is important to understand how they operate and differ from one another so that you can use them the right way, as well as avoid some common mistakes.
It’s the start of a new year and the time is right to assess what we’ve accomplished and where we’re going. First, I think we should celebrate the incredible year LogDNA just completed. I’m so proud of what our LogDNA team accomplished. Not only because it’s quite impressive, which it is, but also because it lays the groundwork for what’s to come in 2020.
SRE and Security teams rely heavily on alerts to know whether their systems are experiencing issues and to prevent any future outages. At LogDNA, customers can set alerts that trigger when specific logs match (presence alerts) or set an alert to go off if there are expected lines that haven’t come through (absence alerts). These alerts can be set up with various channels so you can be alerted in the product of your choice (Slack, Email, PagerDuty, etc).
If you have or plan to collect data from Google Cloud Platform (GCP), you will have noticed that your option of ingesting data has been by using Splunk’s Google Cloud Platform Add-On. However, many customers are adopting “serverless” cloud services to deliver their cloud solutions. There are many reasons for this, but mainly it provides solutions that do not require any overheads of server or container management, that scale and is delivered as a part of their cloud platform.
Being a CIO is not easy these days. The industry is buzzing about data-driven business transformation, and every executive and manager wants to make data-driven decisions. For the CIO, finding the right solution – and getting the maximum benefit from it – can be overwhelming. Most customers have a minimum expectation, but beyond that it can be difficult to envision what’s possible. It’s hard to see what else data can make possible.
Yesterday, Jan. 14, 2020, on the first “patch tuesday” of the year, Microsoft released patches for critical vulnerabilities in Microsoft Windows client and server operating systems.
