Our Data-to-Everything vision is to bring data to every question, decision and action—blockchain data is no exception. Part of making that vision a reality is getting data into Splunk where you can start to investigate, monitor, analyze and act in order to turn data into doing.
It is imperative for organizations to monitor performance, security and stability of their blockchain integrations. Splunk makes it easy to achieve this observability, not just with blockchain but with all enterprise infrastructure. Our customers have told us this is simply a necessity for getting to production and also makes application development faster. Based on Ethereum, Quorum is an open source blockchain platform built for business and backed by strong partnerships such as J.P.
Microservices constantly change in containerized environs, making pod or node identification and their logging more of a challenge. Autodiscover simplifies monitoring movements in these sorts of environments—places like Kubernetes and Docker. Autodiscover allows you to track pods and adapt settings as changes happen in your environment.
We highly recommend that all App Search users keep their deployments up to date with the latest available version to have access to new features, security updates, and performance improvements. This guide is designed to help customers through the upgrade process, to minimize the impact of an upgrade on production environments, and to ensure data safety during an upgrade. Finally, the guide helps App Search users troubleshoot any issues that may occur during an upgrade.
We are excited to announce the general availability of version 7.6 of the Elastic Stack. This release streamlines automated threat detection with the launch of a new SIEM detection engine and a curated set of detection rules aligned to the MITRE ATT&CK™ knowledge base, brings performance improvements to Elasticsearch, makes supervised machine learning more turnkey with inference-on-ingest features, and deepens cloud observability and security with the launch of new data integrations.
Today, most enterprises rightfully think about their business strategies by leveraging available data. Data-driven decisions certainly are more solid and reliable than those based upon mere instinct, intuition or just plain mysticism. Logs, in particular, are a fantastic source of information from which a company can draw to fuel its business intelligence (BI) strategies. However, there’s a big and sometimes unbridgeable gap between theory and practice.
LogDNA is releasing Custom Webhooks, enabling customers to easily integrate LogDNA alerts with 3rd-party services. Custom Webhooks allows you to configure a webhook’s header and body and add specific LogDNA tokens to your alerts going through that webhook.
Logs. You have them. You need to keep track of them. The process of log monitoring can be tedious. Typically it’s one of those things we take for granted and only look at when it stops working. So, how do you deal with them? In this post, we’re going to talk about why and how to monitor logs. Toward the end, we’ll discuss a few tools that’ll help, mostly to avoid manual labor.
Snyk is a developer-centric company whose raison d’être is to identify and patch vulnerabilities in open source security software. With about 50 engineers, Snyk VP Engineering Anton Drukh wants to maintain flexibility in how the team operates. The best way to ensure that is to give them as much insight into their own work as possible, and hence options. They also look at the state of open source security across the industry.
Amazon ELB (Elastic Load Balancing) allows you to make your applications highly available by using health checks and intelligently distributing traffic across a number of instances. It distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, and Lambda functions. You might have heard the terms, CLB, ALB, and NLB. All of them are types of load balancers under the ELB umbrella.
