def main(): global configuration WatchData.stats_period = 60 # Show just last measure data = WatchData() data.connect(configuration.group) data.get_instances_info() """ Check if we must change the desired instances """ if configuration.instances > 1: desired = configuration.instances if desired > 0 and abs(data.instances - desired) < 3: data.set_desired(desired) else: print "You can specify up to +-2 instances more of currently running (%d)" % (data.instances,) exit(0) if configuration.kill: if configuration.kill in [x.id for x in data.instances_info]: data.kill_instance(configuration.kill) else: print "Instance", configuration.kill, "doesn't exist" exit(0) data.get_CPU_loads() print "Group values: instances: %d min: %d max: %d desired: %d Launch config: %s" % (data.instances, data.group.min_size, data.group.max_size, data.group.desired_capacity, data.group.launch_config_name) for instance in data.instances_info: if instance.id in data.loads: load = data.loads[instance.id] else: load = 0 print "%s %5.2f%% %s %s" % (instance.id, load, instance._state.name, instance.image_id), if configuration.all: print "%s %s %-15s %s" % (instance.instance_type, instance._placement, instance.private_ip_address, instance.dns_name, ) else: print print "Average load: %5.2f%%" % (data.avg_load,) if data.instances > 1: print "Average load with %d instances: %5.2f%%" % (data.instances-1, data.total_load/(data.instances-1))
def main():
global configuration
now = int(time.time())
data = WatchData()
""" Set default class values """
if configuration.dry:
WatchData.dry = True
if configuration.low:
WatchData.low_limit = configuration.low
if configuration.high:
WatchData.high_limit = configuration.high
if configuration.high_urgent:
WatchData.high_urgent = configuration.high_urgent
if configuration.history:
WatchData.history_size = configuration.history
if configuration.low_counter:
WatchData.low_counter_limit = configuration.low_counter
if configuration.low_counter:
WatchData.high_counter_limit = configuration.high_counter
try:
data.connect(configuration.group)
data.get_CPU_loads()
except boto.exception.BotoServerError:
print("Error in Boto")
return
prev_data = WatchData.from_file()
""" Retrieve and calculate previous values in the current instance """
data.action_ts = int(prev_data.action_ts)
data.action = prev_data.action
data.up_ts = int(prev_data.up_ts)
data.down_ts = int(prev_data.down_ts)
data.history = prev_data.history
try:
data.low_counter = int(prev_data.low_counter)
except AttributeError:
data.low_counter = 0
try:
data.high_counter = int(prev_data.high_counter)
except AttributeError:
data.high_counter = 0
""" Calculate the trend, increasing or decreasing CPU usage """
alpha = min((data.ts - prev_data.ts) / 60.0 * 0.3, 1)
data.exponential_average = alpha * data.avg_load + (1 - alpha) * prev_data.exponential_average
data.trend = 2 * data.exponential_average - prev_data.exponential_average
print prev_data.exponential_average, data.exponential_average, data.trend
if data.instances != prev_data.instances:
data.previous_instances = prev_data.instances
if data.instances > prev_data.instances: data.up_ts = int(time.time())
else: data.down_ts = int(time.time())
else:
data.previous_instances = prev_data.previous_instances
if data.instances != prev_data.instances or data.desired != prev_data.desired:
data.changed_ts = int(time.time())
else:
data.changed_ts = int(prev_data.changed_ts)
print "%s values: instances: %d min: %d max: %d desired: %d" % (configuration.group, data.instances, data.group.min_size, data.group.max_size, data.group.desired_capacity)
print "Average load: %5.2f%% Trend: %5.2f" % (data.avg_load,data.trend)
if data.instances > 1:
print "Average load with %d instances: %5.2f%%" % (data.instances-1, data.total_load/(data.instances-1))
print "Last change: %s last action: %s (%s)" % (time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.changed_ts)), time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.action_ts)), data.action)
print "Last up: %s last down: %s" % (time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.up_ts)), time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.down_ts)))
if now - data.changed_ts > 600 and now - data.action_ts > 600:
if not data.check_too_low():
data.check_too_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300:
data.check_avg_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300 and now - data.up_ts > 1800:
data.check_avg_low()
data.store(configuration.annotation)
if configuration.mail and data.emergency:
sendmail(data, configuration.mail)
def main():
global configuration
now = int(time.time())
data = WatchData()
""" Set default class values """
if configuration.dry:
WatchData.dry = True
if configuration.low:
WatchData.low_limit = configuration.low
if configuration.high:
WatchData.high_limit = configuration.high
if configuration.high_urgent:
WatchData.high_urgent = configuration.high_urgent
if configuration.history:
WatchData.history_size = configuration.history
data.connect(configuration.group)
data.get_CPU_loads()
prev_data = WatchData.from_file()
""" Retrieve and calculate previous values in the current instance """
data.action_ts = int(prev_data.action_ts)
data.action = prev_data.action
data.up_ts = int(prev_data.up_ts)
data.down_ts = int(prev_data.down_ts)
data.history = prev_data.history
if data.instances != prev_data.instances:
data.previous_instances = prev_data.instances
if data.instances > prev_data.instances: data.up_ts = int(time.time())
else: data.down_ts = int(time.time())
else:
data.previous_instances = prev_data.previous_instances
if data.instances != prev_data.instances or data.desired != prev_data.desired:
data.changed_ts = int(time.time())
else:
data.changed_ts = int(prev_data.changed_ts)
print "%s values: instances: %d min: %d max: %d desired: %d" % (
configuration.group, data.instances, data.group.min_size,
data.group.max_size, data.group.desired_capacity)
print "Average load: %5.2f%%" % (data.avg_load, )
if data.instances > 1:
print "Average load with %d instances: %5.2f%%" % (
data.instances - 1, data.total_load / (data.instances - 1))
print "Last change: %s last action: %s (%s)" % (
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.changed_ts)),
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(
data.action_ts)), data.action)
print "Last up: %s last down: %s" % (
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.up_ts)),
time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.down_ts)))
if now - data.changed_ts > 600 and now - data.action_ts > 600:
if not data.check_too_low():
data.check_too_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300:
data.check_avg_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300 and now - data.up_ts > 1800:
data.check_avg_low()
data.store(configuration.annotation)
if configuration.mail and data.emergency:
sendmail(data, configuration.mail)
def main():
global configuration
now = int(time.time())
data = WatchData()
""" Set default class values """
if configuration.dry:
WatchData.dry = True
if configuration.low:
WatchData.low_limit = configuration.low
if configuration.high:
WatchData.high_limit = configuration.high
if configuration.high_urgent:
WatchData.high_urgent = configuration.high_urgent
if configuration.history:
WatchData.history_size = configuration.history
data.connect(configuration.group)
data.get_CPU_loads()
prev_data = WatchData.from_file()
""" Retrieve and calculate previous values in the current instance """
data.action_ts = int(prev_data.action_ts)
data.action = prev_data.action
data.up_ts = int(prev_data.up_ts)
data.down_ts = int(prev_data.down_ts)
data.history = prev_data.history
if data.instances != prev_data.instances:
data.previous_instances = prev_data.instances
if data.instances > prev_data.instances: data.up_ts = int(time.time())
else: data.down_ts = int(time.time())
else:
data.previous_instances = prev_data.previous_instances
if data.instances != prev_data.instances or data.desired != prev_data.desired:
data.changed_ts = int(time.time())
else:
data.changed_ts = int(prev_data.changed_ts)
print "%s values: instances: %d min: %d max: %d desired: %d" % (configuration.group, data.instances, data.group.min_size, data.group.max_size, data.group.desired_capacity)
print "Average load: %5.2f%%" % (data.avg_load,)
if data.instances > 1:
print "Average load with %d instances: %5.2f%%" % (data.instances-1, data.total_load/(data.instances-1))
print "Last change: %s last action: %s (%s)" % (time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.changed_ts)), time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.action_ts)), data.action)
print "Last up: %s last down: %s" % (time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.up_ts)), time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.down_ts)))
if now - data.changed_ts > 600 and now - data.action_ts > 600:
if not data.check_too_low():
data.check_too_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300:
data.check_avg_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300 and now - data.up_ts > 1800:
data.check_avg_low()
data.store(configuration.annotation)
if configuration.mail and data.emergency:
sendmail(data, configuration.mail)
def main():
global configuration
now = int(time.time())
data = WatchData()
""" Set default class values """
if configuration.dry:
WatchData.dry = True
if configuration.low:
WatchData.low_limit = configuration.low
if configuration.high:
WatchData.high_limit = configuration.high
if configuration.high_urgent:
WatchData.high_urgent = configuration.high_urgent
if configuration.history:
WatchData.history_size = configuration.history
if configuration.low_counter:
WatchData.low_counter_limit = configuration.low_counter
if configuration.low_counter:
WatchData.high_counter_limit = configuration.high_counter
data.connect(configuration.group)
data.get_CPU_loads()
prev_data = WatchData.from_file()
""" Retrieve and calculate previous values in the current instance """
data.action_ts = int(prev_data.action_ts)
data.action = prev_data.action
data.up_ts = int(prev_data.up_ts)
data.down_ts = int(prev_data.down_ts)
data.history = prev_data.history
try:
data.low_counter = int(prev_data.low_counter)
except AttributeError:
data.low_counter = 0
try:
data.high_counter = int(prev_data.high_counter)
except AttributeError:
data.high_counter = 0
""" Calculate the trend, increasing or decreasing CPU usage """
alpha = min((data.ts - prev_data.ts) / 60.0 * 0.3, 1)
data.exponential_average = alpha * data.avg_load + (1 - alpha) * prev_data.exponential_average
data.trend = 2 * data.exponential_average - prev_data.exponential_average
print prev_data.exponential_average, data.exponential_average, data.trend
if data.instances != prev_data.instances:
data.previous_instances = prev_data.instances
if data.instances > prev_data.instances:
data.up_ts = int(time.time())
else:
data.down_ts = int(time.time())
else:
data.previous_instances = prev_data.previous_instances
if data.instances != prev_data.instances or data.desired != prev_data.desired:
data.changed_ts = int(time.time())
else:
data.changed_ts = int(prev_data.changed_ts)
print "%s values: instances: %d min: %d max: %d desired: %d" % (
configuration.group,
data.instances,
data.group.min_size,
data.group.max_size,
data.group.desired_capacity,
)
print "Average load: %5.2f%% Trend: %5.2f" % (data.avg_load, data.trend)
if data.instances > 1:
print "Average load with %d instances: %5.2f%%" % (data.instances - 1, data.total_load / (data.instances - 1))
print "Last change: %s last action: %s (%s)" % (
time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(data.changed_ts)),
time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(data.action_ts)),
data.action,
)
print "Last up: %s last down: %s" % (
time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(data.up_ts)),
time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(data.down_ts)),
)
if now - data.changed_ts > 600 and now - data.action_ts > 600:
if not data.check_too_low():
data.check_too_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300:
data.check_avg_high()
if now - data.changed_ts > 300 and now - data.action_ts > 300 and now - data.up_ts > 1800:
data.check_avg_low()
data.store(configuration.annotation)
if configuration.mail and data.emergency:
sendmail(data, configuration.mail)
def main():
global configuration
WatchData.stats_period = 60 # Show just last measure
data = WatchData()
data.connect(configuration.group)
data.get_instances_info()
""" Check if we must change the desired instances """
if configuration.instances > 1:
desired = configuration.instances
if desired > 0 and abs(data.instances - desired) < 3:
data.set_desired(desired)
else:
print "You can specify up to +-2 instances more of currently running (%d)" % (
data.instances, )
exit(0)
if configuration.kill:
if configuration.kill in [x.id for x in data.instances_info]:
data.kill_instance(configuration.kill)
else:
print "Instance", configuration.kill, "doesn't exist"
exit(0)
data.get_CPU_loads()
print "Group values: instances: %d min: %d max: %d desired: %d Launch config: %s" % (
data.instances, data.group.min_size, data.group.max_size,
data.group.desired_capacity, data.group.launch_config_name)
for instance in data.instances_info:
if instance.id in data.loads:
load = data.loads[instance.id]
else:
load = 0
print "%s %5.2f%% %s %s" % (instance.id, load, instance._state.name,
instance.image_id),
if configuration.all:
print "%s %s %-15s %s" % (
instance.instance_type,
instance._placement,
instance.private_ip_address,
instance.dns_name,
)
else:
print
print "Average load: %5.2f%%" % (data.avg_load, )
if data.instances > 1:
print "Average load with %d instances: %5.2f%%" % (
data.instances - 1, data.total_load / (data.instances - 1))
def main():
global configuration
WatchData.stats_period = 60 # Show just last measure
data = WatchData(configuration.group)
data.connect()
data.get_instances_info()
""" Check if we must change the desired instances """
if configuration.instances > 1:
desired = configuration.instances
if desired > 0 and abs(data.instances - desired) < 3:
data.set_desired(desired)
else:
print "You can specify up to +-2 instances more of currently running (%d)" % (
data.instances, )
exit(0)
if configuration.kill:
if configuration.kill in [x.id for x in data.instances_info]:
data.kill_instance(configuration.kill, True)
else:
print "Instance", configuration.kill, "doesn't exist"
exit(0)
data.get_CPU_loads()
print "Group values: instances: %d min: %d max: %d desired: %d Launch config: %s" % (
data.instances, data.min_size, data.max_size, data.desired,
data.group['LaunchConfigurationName'])
for i, d in data.instances_info.iteritems():
if i in data.loads:
load = data.loads[i]
else:
load = 0
print "%s %5.2f%% %s %s" % (i, load, d['State']['Name'], d['ImageId']),
print "%s %s %-15s" % (d['InstanceType'],
d['Placement']['AvailabilityZone'],
d['NetworkInterfaces'][0]['PrivateIpAddress']),
if configuration.all:
print "%-15s" % (d['NetworkInterfaces'][0]['PrivateDnsName'])
else:
print
print "Average load: %5.2f%%" % (data.avg_load, )
if data.instances > 1:
print "Average load with %d instances: %5.2f%%" % (
data.instances - 1, data.total_load / (data.instances - 1))